diff --git "a/log_node18.txt" "b/log_node18.txt" new file mode 100644--- /dev/null +++ "b/log_node18.txt" @@ -0,0 +1,28311 @@ ++ echo Logging output to /data_2/output/LM/scripts/modellink/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1cp2_stage3.sh/20241127_204213//log_node18.txt +Logging output to /data_2/output/LM/scripts/modellink/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1cp2_stage3.sh/20241127_204213//log_node18.txt ++ export ASCEND_PROCESS_LOG_PATH=/data_2/output/LM/scripts/modellink/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1cp2_stage3.sh/20241127_204213//ascend/18 ++ ASCEND_PROCESS_LOG_PATH=/data_2/output/LM/scripts/modellink/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1cp2_stage3.sh/20241127_204213//ascend/18 ++ mkdir -p /data_2/output/LM/scripts/modellink/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1cp2_stage3.sh/20241127_204213//ascend/18 ++ DATA_PATH=/local_disk/cognitron_vl//configs/lcvlm_finetune_stage3.yaml ++ TOKENIZER_PATH=/data_4/models/Qwen/Qwen2.5-14B-Instruct/ ++ CKPT_LOAD_DIR=/data_2/output/LM/lcvlm_modellink/scripts/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1_stage2.sh/20241014_131952/ ++ VIT_CKPT_LOAD_DIR=/ ++ CKPT_SAVE_DIR=/data_2/output/LM/scripts/modellink/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1cp2_stage3.sh/20241127_204213// ++ rsync -avh /local_disk/cognitron_vl//configs/lcvlm_finetune_stage3.yaml /data_2/output/LM/scripts/modellink/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1cp2_stage3.sh/20241127_204213/ +sending incremental file list + +sent 71 bytes received 12 bytes 166.00 bytes/sec +total size is 23.84K speedup is 287.17 ++ cd /local_disk/cognitron_vl/ ++ rm -fr datasets ++ mkdir -p datasets ++ ln -s /data/data/ datasets/CV ++ ln -s /data/data/LLM datasets/LLM ++ ln -s /data/data/LMM datasets/LMM ++ source /local_disk/cognitron_vl//scripts/set_env_mg_npu.sh +++ source /usr/local/Ascend/driver/bin/setenv.bash ++++ DEP_INFO_FILE=/etc/ascend_install.info ++++ [[ -f /etc/ascend_install.info ]] ++++ . /etc/ascend_install.info ++++ DRV_LIB64_COMMON_LDPATH=/driver/lib64/common ++++ DRV_LIB64_DRV_LDPATH=/driver/lib64/driver ++++ DRV_LIB64_LDPATH=/driver/lib64 ++++ export LD_LIBRARY_PATH=/driver/lib64/common:/driver/lib64/driver:/driver/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64/plugin:/usr/local/Ascend/ascend-toolkit/latest/lib64:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/opskernel:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/nnengine:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe/op_tiling/lib/linux/x86_64:/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/lib/x86_64-linux-gnu/hdf5/serial: ++++ LD_LIBRARY_PATH=/driver/lib64/common:/driver/lib64/driver:/driver/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64/plugin:/usr/local/Ascend/ascend-toolkit/latest/lib64:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/opskernel:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/nnengine:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe/op_tiling/lib/linux/x86_64:/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/lib/x86_64-linux-gnu/hdf5/serial: ++++ export PATH=/usr/local/Ascend/ascend-toolkit/latest/bin:/usr/local/Ascend/ascend-toolkit/latest/compiler/ccec_compiler/bin:/usr/local/Ascend/ascend-toolkit/latest/tools/ccec_compiler/bin:/root/miniconda3/envs/py38/bin:/root/miniconda3/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/sbin:/usr/local/bin ++++ PATH=/usr/local/Ascend/ascend-toolkit/latest/bin:/usr/local/Ascend/ascend-toolkit/latest/compiler/ccec_compiler/bin:/usr/local/Ascend/ascend-toolkit/latest/tools/ccec_compiler/bin:/root/miniconda3/envs/py38/bin:/root/miniconda3/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/sbin:/usr/local/bin +++ source /usr/local/Ascend/ascend-toolkit/set_env.sh ++++ export LD_LIBRARY_PATH=/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/driver/lib64/common:/driver/lib64/driver:/driver/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64/plugin:/usr/local/Ascend/ascend-toolkit/latest/lib64:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/opskernel:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/nnengine:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe/op_tiling/lib/linux/x86_64:/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/lib/x86_64-linux-gnu/hdf5/serial: ++++ LD_LIBRARY_PATH=/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/driver/lib64/common:/driver/lib64/driver:/driver/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64/plugin:/usr/local/Ascend/ascend-toolkit/latest/lib64:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/opskernel:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/nnengine:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe/op_tiling/lib/linux/x86_64:/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/lib/x86_64-linux-gnu/hdf5/serial: ++++ export ASCEND_TOOLKIT_HOME=/usr/local/Ascend/ascend-toolkit/latest ++++ ASCEND_TOOLKIT_HOME=/usr/local/Ascend/ascend-toolkit/latest +++++ arch ++++ export LD_LIBRARY_PATH=/usr/local/Ascend/ascend-toolkit/latest/lib64:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/opskernel:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/nnengine:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe/op_tiling/lib/linux/x86_64:/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/driver/lib64/common:/driver/lib64/driver:/driver/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64/plugin:/usr/local/Ascend/ascend-toolkit/latest/lib64:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/opskernel:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/nnengine:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe/op_tiling/lib/linux/x86_64:/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/lib/x86_64-linux-gnu/hdf5/serial: ++++ LD_LIBRARY_PATH=/usr/local/Ascend/ascend-toolkit/latest/lib64:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/opskernel:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/nnengine:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe/op_tiling/lib/linux/x86_64:/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/driver/lib64/common:/driver/lib64/driver:/driver/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64/plugin:/usr/local/Ascend/ascend-toolkit/latest/lib64:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/opskernel:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/nnengine:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe/op_tiling/lib/linux/x86_64:/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/lib/x86_64-linux-gnu/hdf5/serial: ++++ export LD_LIBRARY_PATH=/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64/plugin:/usr/local/Ascend/ascend-toolkit/latest/lib64:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/opskernel:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/nnengine:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe/op_tiling/lib/linux/x86_64:/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/driver/lib64/common:/driver/lib64/driver:/driver/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64/plugin:/usr/local/Ascend/ascend-toolkit/latest/lib64:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/opskernel:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/nnengine:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe/op_tiling/lib/linux/x86_64:/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/lib/x86_64-linux-gnu/hdf5/serial: ++++ LD_LIBRARY_PATH=/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64/plugin:/usr/local/Ascend/ascend-toolkit/latest/lib64:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/opskernel:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/nnengine:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe/op_tiling/lib/linux/x86_64:/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/driver/lib64/common:/driver/lib64/driver:/driver/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64/plugin:/usr/local/Ascend/ascend-toolkit/latest/lib64:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/opskernel:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/nnengine:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe/op_tiling/lib/linux/x86_64:/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/lib/x86_64-linux-gnu/hdf5/serial: ++++ export PYTHONPATH=/usr/local/Ascend/ascend-toolkit/latest/python/site-packages:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe:/usr/local/Ascend/ascend-toolkit/latest/python/site-packages:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe: ++++ PYTHONPATH=/usr/local/Ascend/ascend-toolkit/latest/python/site-packages:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe:/usr/local/Ascend/ascend-toolkit/latest/python/site-packages:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe: ++++ export PATH=/usr/local/Ascend/ascend-toolkit/latest/bin:/usr/local/Ascend/ascend-toolkit/latest/compiler/ccec_compiler/bin:/usr/local/Ascend/ascend-toolkit/latest/tools/ccec_compiler/bin:/usr/local/Ascend/ascend-toolkit/latest/bin:/usr/local/Ascend/ascend-toolkit/latest/compiler/ccec_compiler/bin:/usr/local/Ascend/ascend-toolkit/latest/tools/ccec_compiler/bin:/root/miniconda3/envs/py38/bin:/root/miniconda3/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/sbin:/usr/local/bin ++++ PATH=/usr/local/Ascend/ascend-toolkit/latest/bin:/usr/local/Ascend/ascend-toolkit/latest/compiler/ccec_compiler/bin:/usr/local/Ascend/ascend-toolkit/latest/tools/ccec_compiler/bin:/usr/local/Ascend/ascend-toolkit/latest/bin:/usr/local/Ascend/ascend-toolkit/latest/compiler/ccec_compiler/bin:/usr/local/Ascend/ascend-toolkit/latest/tools/ccec_compiler/bin:/root/miniconda3/envs/py38/bin:/root/miniconda3/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/sbin:/usr/local/bin ++++ export ASCEND_AICPU_PATH=/usr/local/Ascend/ascend-toolkit/latest ++++ ASCEND_AICPU_PATH=/usr/local/Ascend/ascend-toolkit/latest ++++ export ASCEND_OPP_PATH=/usr/local/Ascend/ascend-toolkit/latest/opp ++++ ASCEND_OPP_PATH=/usr/local/Ascend/ascend-toolkit/latest/opp ++++ export TOOLCHAIN_HOME=/usr/local/Ascend/ascend-toolkit/latest/toolkit ++++ TOOLCHAIN_HOME=/usr/local/Ascend/ascend-toolkit/latest/toolkit ++++ export ASCEND_HOME_PATH=/usr/local/Ascend/ascend-toolkit/latest ++++ ASCEND_HOME_PATH=/usr/local/Ascend/ascend-toolkit/latest +++ export HCCL_CONNECT_TIMEOUT=7200 +++ HCCL_CONNECT_TIMEOUT=7200 +++ export HCCL_EXEC_TIMEOUT=7200 +++ HCCL_EXEC_TIMEOUT=7200 +++ export COMBINED_ENABLE=1 +++ COMBINED_ENABLE=1 +++ export MULTI_STREAM_MEMORY_REUSE=1 +++ MULTI_STREAM_MEMORY_REUSE=1 +++ export HCCL_RDMA_TC=160 +++ HCCL_RDMA_TC=160 +++ export HCCL_RDMA_SL=5 +++ HCCL_RDMA_SL=5 +++ export HCCL_INTRA_PCIE_ENABLE=0 +++ HCCL_INTRA_PCIE_ENABLE=0 +++ export HCCL_INTRA_ROCE_ENABLE=1 +++ HCCL_INTRA_ROCE_ENABLE=1 +++ export HCCL_RDMA_TIMEOUT=20 +++ HCCL_RDMA_TIMEOUT=20 +++ export INF_NAN_MODE_ENABLE=1 +++ INF_NAN_MODE_ENABLE=1 +++ export DISTRIBUTED_BACKEND=hccl +++ DISTRIBUTED_BACKEND=hccl +++ export ASCEND_LAUNCH_BLOCKING=0 +++ ASCEND_LAUNCH_BLOCKING=0 +++ export ASCEND_SLOG_PRINT_TO_STDOUT=0 +++ ASCEND_SLOG_PRINT_TO_STDOUT=0 +++ export ASCEND_GLOBAL_LOG_LEVEL=3 +++ ASCEND_GLOBAL_LOG_LEVEL=3 +++ export ASCEND_GLOBAL_EVENT_ENABLE=0 +++ ASCEND_GLOBAL_EVENT_ENABLE=0 +++ export TASK_QUEUE_ENABLE=1 +++ TASK_QUEUE_ENABLE=1 +++ export PTCOPY_ENABLE=1 +++ PTCOPY_ENABLE=1 +++ export COMBINED_ENABLE=1 +++ COMBINED_ENABLE=1 +++ export DYNAMIC_OP=ADD#MUL +++ DYNAMIC_OP=ADD#MUL +++ export HCCL_WHITELIST_DISABLE=1 +++ HCCL_WHITELIST_DISABLE=1 +++ export HCCL_CONNECT_TIMEOUT=7200 +++ HCCL_CONNECT_TIMEOUT=7200 +++ export HCCL_WHITELIST_DISABLE=1 +++ HCCL_WHITELIST_DISABLE=1 +++ export CUDA_DEVICE_MAX_CONNECTIONS=1 +++ CUDA_DEVICE_MAX_CONNECTIONS=1 +++ pip3 install --no-index --find-links=/data/software/ -r requirements_npu.txt +Looking in links: /data/software/ +Processing data/software/expecttest-0.2.1-py3-none-any.whl (from -r requirements_npu.txt (line 1)) +Requirement already satisfied: peft in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from -r requirements_npu.txt (line 2)) (0.7.0) +Processing data/software/XlsxWriter-3.2.0-py3-none-any.whl (from -r requirements_npu.txt (line 3)) +Requirement already satisfied: termcolor in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from -r requirements_npu.txt (line 4)) (2.4.0) +Requirement already satisfied: tabulate in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from -r requirements_npu.txt (line 5)) (0.9.0) +Processing data/software/tiktoken-0.7.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (from -r requirements_npu.txt (line 6)) +Requirement already satisfied: matplotlib in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from -r requirements_npu.txt (line 7)) (3.7.5) +Processing data/software/datasets-3.0.0-py3-none-any.whl (from -r requirements_npu.txt (line 8)) +Requirement already satisfied: einops in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from -r requirements_npu.txt (line 9)) (0.7.0) +Processing data/software/pybind11-2.13.6-py3-none-any.whl (from -r requirements_npu.txt (line 10)) +Requirement already satisfied: tensorboardX in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from -r requirements_npu.txt (line 11)) (2.6.2.2) +Processing data/software/pyarrow-17.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (from -r requirements_npu.txt (line 12)) +Requirement already satisfied: transformers>=4.40.1 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from -r requirements_npu.txt (line 13)) (4.40.1) +Requirement already satisfied: deepspeed>=0.14.2 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from -r requirements_npu.txt (line 14)) (0.14.5) +Processing data/software/accelerate-0.34.2-py3-none-any.whl (from -r requirements_npu.txt (line 15)) +Requirement already satisfied: timm in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from -r requirements_npu.txt (line 16)) (0.9.16) +Processing data/software/flask-3.0.3-py3-none-any.whl (from -r requirements_npu.txt (line 17)) +Processing data/software/Flask_RESTful-0.3.10-py2.py3-none-any.whl (from -r requirements_npu.txt (line 18)) +Processing data/software/decord-0.6.0-py3-none-manylinux2010_x86_64.whl (from -r requirements_npu.txt (line 19)) +Processing data/software/natsort-8.4.0-py3-none-any.whl (from -r requirements_npu.txt (line 20)) +Requirement already satisfied: numpy>=1.17 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from peft->-r requirements_npu.txt (line 2)) (1.24.4) +Requirement already satisfied: packaging>=20.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from peft->-r requirements_npu.txt (line 2)) (23.2) +Requirement already satisfied: psutil in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from peft->-r requirements_npu.txt (line 2)) (5.9.8) +Requirement already satisfied: pyyaml in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from peft->-r requirements_npu.txt (line 2)) (5.4.1) +Requirement already satisfied: torch>=1.13.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from peft->-r requirements_npu.txt (line 2)) (2.1.0+cpu) +Requirement already satisfied: tqdm in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from peft->-r requirements_npu.txt (line 2)) (4.66.2) +Requirement already satisfied: safetensors in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from peft->-r requirements_npu.txt (line 2)) (0.4.2) +Requirement already satisfied: huggingface-hub>=0.17.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from peft->-r requirements_npu.txt (line 2)) (0.20.3) +Requirement already satisfied: regex>=2022.1.18 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from tiktoken->-r requirements_npu.txt (line 6)) (2023.12.25) +Requirement already satisfied: requests>=2.26.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from tiktoken->-r requirements_npu.txt (line 6)) (2.31.0) +Requirement already satisfied: contourpy>=1.0.1 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from matplotlib->-r requirements_npu.txt (line 7)) (1.1.1) +Requirement already satisfied: cycler>=0.10 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from matplotlib->-r requirements_npu.txt (line 7)) (0.12.1) +Requirement already satisfied: fonttools>=4.22.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from matplotlib->-r requirements_npu.txt (line 7)) (4.49.0) +Requirement already satisfied: kiwisolver>=1.0.1 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from matplotlib->-r requirements_npu.txt (line 7)) (1.4.5) +Requirement already satisfied: pillow>=6.2.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from matplotlib->-r requirements_npu.txt (line 7)) (10.2.0) +Requirement already satisfied: pyparsing>=2.3.1 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from matplotlib->-r requirements_npu.txt (line 7)) (3.1.1) +Requirement already satisfied: python-dateutil>=2.7 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from matplotlib->-r requirements_npu.txt (line 7)) (2.8.2) +Requirement already satisfied: importlib-resources>=3.2.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from matplotlib->-r requirements_npu.txt (line 7)) (6.1.2) +Requirement already satisfied: filelock in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from datasets>=2.21.0->-r requirements_npu.txt (line 8)) (3.13.1) +Requirement already satisfied: dill<0.3.9,>=0.3.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from datasets>=2.21.0->-r requirements_npu.txt (line 8)) (0.3.7) +Requirement already satisfied: pandas in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from datasets>=2.21.0->-r requirements_npu.txt (line 8)) (2.0.3) +Processing data/software/requests-2.32.3-py3-none-any.whl (from tiktoken->-r requirements_npu.txt (line 6)) +Processing data/software/tqdm-4.67.1-py3-none-any.whl (from peft->-r requirements_npu.txt (line 2)) +Requirement already satisfied: xxhash in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from datasets>=2.21.0->-r requirements_npu.txt (line 8)) (3.4.1) +Requirement already satisfied: multiprocess in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from datasets>=2.21.0->-r requirements_npu.txt (line 8)) (0.70.15) +Requirement already satisfied: fsspec<=2024.6.1,>=2023.1.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from fsspec[http]<=2024.6.1,>=2023.1.0->datasets>=2.21.0->-r requirements_npu.txt (line 8)) (2023.10.0) +Requirement already satisfied: aiohttp in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from datasets>=2.21.0->-r requirements_npu.txt (line 8)) (3.9.3) +Processing data/software/huggingface_hub-0.26.2-py3-none-any.whl (from peft->-r requirements_npu.txt (line 2)) +Requirement already satisfied: protobuf>=3.20 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from tensorboardX->-r requirements_npu.txt (line 11)) (4.25.3) +Requirement already satisfied: tokenizers<0.20,>=0.19 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from transformers>=4.40.1->-r requirements_npu.txt (line 13)) (0.19.1) +Requirement already satisfied: hjson in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from deepspeed>=0.14.2->-r requirements_npu.txt (line 14)) (3.1.0) +Requirement already satisfied: ninja in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from deepspeed>=0.14.2->-r requirements_npu.txt (line 14)) (1.11.1.1) +Requirement already satisfied: nvidia-ml-py in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from deepspeed>=0.14.2->-r requirements_npu.txt (line 14)) (12.560.30) +Requirement already satisfied: py-cpuinfo in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from deepspeed>=0.14.2->-r requirements_npu.txt (line 14)) (9.0.0) +Requirement already satisfied: pydantic in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from deepspeed>=0.14.2->-r requirements_npu.txt (line 14)) (1.10.15) +Processing data/software/safetensors-0.4.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (from peft->-r requirements_npu.txt (line 2)) +Requirement already satisfied: torchvision in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from timm->-r requirements_npu.txt (line 16)) (0.16.0) +Requirement already satisfied: Werkzeug>=3.0.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from flask->-r requirements_npu.txt (line 17)) (3.0.1) +Requirement already satisfied: Jinja2>=3.1.2 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from flask->-r requirements_npu.txt (line 17)) (3.1.3) +Processing data/software/itsdangerous-2.2.0-py3-none-any.whl (from flask->-r requirements_npu.txt (line 17)) +Requirement already satisfied: click>=8.1.3 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from flask->-r requirements_npu.txt (line 17)) (8.1.7) +Processing data/software/blinker-1.8.2-py3-none-any.whl (from flask->-r requirements_npu.txt (line 17)) +Requirement already satisfied: importlib-metadata>=3.6.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from flask->-r requirements_npu.txt (line 17)) (7.0.1) +Processing data/software/aniso8601-9.0.1-py2.py3-none-any.whl (from flask_restful->-r requirements_npu.txt (line 18)) +Requirement already satisfied: six>=1.3.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from flask_restful->-r requirements_npu.txt (line 18)) (1.16.0) +Requirement already satisfied: pytz in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from flask_restful->-r requirements_npu.txt (line 18)) (2024.1) +Requirement already satisfied: aiosignal>=1.1.2 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from aiohttp->datasets>=2.21.0->-r requirements_npu.txt (line 8)) (1.3.1) +Requirement already satisfied: attrs>=17.3.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from aiohttp->datasets>=2.21.0->-r requirements_npu.txt (line 8)) (23.2.0) +Requirement already satisfied: frozenlist>=1.1.1 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from aiohttp->datasets>=2.21.0->-r requirements_npu.txt (line 8)) (1.4.1) +Requirement already satisfied: multidict<7.0,>=4.5 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from aiohttp->datasets>=2.21.0->-r requirements_npu.txt (line 8)) (6.0.5) +Requirement already satisfied: yarl<2.0,>=1.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from aiohttp->datasets>=2.21.0->-r requirements_npu.txt (line 8)) (1.9.4) +Requirement already satisfied: async-timeout<5.0,>=4.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from aiohttp->datasets>=2.21.0->-r requirements_npu.txt (line 8)) (4.0.3) +Requirement already satisfied: typing-extensions>=3.7.4.3 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from huggingface-hub>=0.17.0->peft->-r requirements_npu.txt (line 2)) (4.10.0) +Requirement already satisfied: zipp>=0.5 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from importlib-metadata>=3.6.0->flask->-r requirements_npu.txt (line 17)) (3.17.0) +Requirement already satisfied: MarkupSafe>=2.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from Jinja2>=3.1.2->flask->-r requirements_npu.txt (line 17)) (2.1.5) +Requirement already satisfied: charset-normalizer<4,>=2 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from requests>=2.26.0->tiktoken->-r requirements_npu.txt (line 6)) (3.3.2) +Requirement already satisfied: idna<4,>=2.5 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from requests>=2.26.0->tiktoken->-r requirements_npu.txt (line 6)) (3.6) +Requirement already satisfied: urllib3<3,>=1.21.1 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from requests>=2.26.0->tiktoken->-r requirements_npu.txt (line 6)) (1.26.18) +Requirement already satisfied: certifi>=2017.4.17 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from requests>=2.26.0->tiktoken->-r requirements_npu.txt (line 6)) (2024.2.2) +Requirement already satisfied: sympy in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from torch>=1.13.0->peft->-r requirements_npu.txt (line 2)) (1.4) +Requirement already satisfied: networkx in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from torch>=1.13.0->peft->-r requirements_npu.txt (line 2)) (3.1) +Requirement already satisfied: tzdata>=2022.1 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from pandas->datasets>=2.21.0->-r requirements_npu.txt (line 8)) (2024.1) +Requirement already satisfied: mpmath>=0.19 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from sympy->torch>=1.13.0->peft->-r requirements_npu.txt (line 2)) (1.3.0) +DEPRECATION: apex 0.1-ascend-20240523 has a non-standard version number. pip 24.1 will enforce this behaviour change. A possible replacement is to upgrade to a newer version of apex or contact the author to suggest that they release a version with a conforming version number. Discussion can be found at https://github.com/pypa/pip/issues/12063 +Installing collected packages: aniso8601, xlsxwriter, tqdm, safetensors, requests, pybind11, pyarrow, natsort, itsdangerous, expecttest, decord, blinker, tiktoken, huggingface-hub, flask, flask_restful, accelerate, datasets + Attempting uninstall: tqdm + Found existing installation: tqdm 4.66.2 + Uninstalling tqdm-4.66.2: + Successfully uninstalled tqdm-4.66.2 + Attempting uninstall: safetensors + Found existing installation: safetensors 0.4.2 + Uninstalling safetensors-0.4.2: + Successfully uninstalled safetensors-0.4.2 + Attempting uninstall: requests + Found existing installation: requests 2.31.0 + Uninstalling requests-2.31.0: + Successfully uninstalled requests-2.31.0 + Attempting uninstall: pyarrow + Found existing installation: pyarrow 15.0.0 + Uninstalling pyarrow-15.0.0: + Successfully uninstalled pyarrow-15.0.0 + Attempting uninstall: huggingface-hub + Found existing installation: huggingface-hub 0.20.3 + Uninstalling huggingface-hub-0.20.3: + Successfully uninstalled huggingface-hub-0.20.3 + Attempting uninstall: accelerate + Found existing installation: accelerate 0.25.0 + Uninstalling accelerate-0.25.0: + Successfully uninstalled accelerate-0.25.0 + Attempting uninstall: datasets + Found existing installation: datasets 2.16.0 + Uninstalling datasets-2.16.0: + Successfully uninstalled datasets-2.16.0 +ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. +tikit 1.8.2.240926 requires dicttoxml==1.7.4, which is not installed. +tikit 1.8.2.240926 requires docopt==0.6.2, which is not installed. +tikit 1.8.2.240926 requires future==0.18.2, which is not installed. +tikit 1.8.2.240926 requires hdfs==2.6.0, which is not installed. +tikit 1.8.2.240926 requires pure-sasl==0.6.2, which is not installed. +tikit 1.8.2.240926 requires py4j==0.10.7, which is not installed. +tikit 1.8.2.240926 requires PyHive[hive]==0.6.4, which is not installed. +tikit 1.8.2.240926 requires pyjwt>=2.4.0, which is not installed. +tikit 1.8.2.240926 requires requests-kerberos>=0.14.0, which is not installed. +tikit 1.8.2.240926 requires sasl==0.3.1, which is not installed. +tikit 1.8.2.240926 requires thrift==0.15.0, which is not installed. +tikit 1.8.2.240926 requires thrift-sasl>=0.1.0, which is not installed. +tikit 1.8.2.240926 requires certifi==2021.10.8, but you have certifi 2024.2.2 which is incompatible. +tikit 1.8.2.240926 requires cos-python-sdk-v5==1.9.29, but you have cos-python-sdk-v5 1.9.26 which is incompatible. +tikit 1.8.2.240926 requires idna==3.3, but you have idna 3.6 which is incompatible. +tikit 1.8.2.240926 requires prettytable==2.5.0, but you have prettytable 3.11.0 which is incompatible. +tikit 1.8.2.240926 requires urllib3==1.26.7, but you have urllib3 1.26.18 which is incompatible. +tikit 1.8.2.240926 requires wcwidth==0.2.5, but you have wcwidth 0.2.13 which is incompatible. +Successfully installed accelerate-0.34.2 aniso8601-9.0.1 blinker-1.8.2 datasets-3.0.0 decord-0.6.0 expecttest-0.2.1 flask-3.0.3 flask_restful-0.3.10 huggingface-hub-0.26.2 itsdangerous-2.2.0 natsort-8.4.0 pyarrow-17.0.0 pybind11-2.13.6 requests-2.32.3 safetensors-0.4.5 tiktoken-0.7.0 tqdm-4.67.1 xlsxwriter-3.2.0 +WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv +++ return 0 ++ MEGATRON_DIR=/local_disk/cognitron_vl//third_party/Megatron-LM_core_r0.6.0/ ++ MINDSPEED_DIR=/local_disk/cognitron_vl//third_party/MindSpeed_core_r0.6.0/ ++ MODELLINK_DIR=/local_disk/cognitron_vl//third_party/ModelLink/ ++ pip3 install --no-index --find-links=/data/software/ -e /local_disk/cognitron_vl//third_party/Megatron-LM_core_r0.6.0/ +Looking in links: /data/software/ +Obtaining file://local_disk/cognitron_vl/third_party/Megatron-LM_core_r0.6.0 + Installing build dependencies: started + Installing build dependencies: finished with status 'done' + Checking if build backend supports build_editable: started + Checking if build backend supports build_editable: finished with status 'done' + Getting requirements to build editable: started + Getting requirements to build editable: finished with status 'done' + Installing backend dependencies: started + Installing backend dependencies: finished with status 'done' + Preparing editable metadata (pyproject.toml): started + Preparing editable metadata (pyproject.toml): finished with status 'done' +Building wheels for collected packages: megatron_core + Building editable for megatron_core (pyproject.toml): started + Building editable for megatron_core (pyproject.toml): finished with status 'done' + Created wheel for megatron_core: filename=megatron_core-0.6.0-0.editable-cp38-cp38-linux_x86_64.whl size=8791 sha256=5d7f519d31a46375bd3fc0d46434d124f59254b3ecdeab08a06b5179b784cb05 + Stored in directory: /tmp/pip-ephem-wheel-cache-hesxoss1/wheels/54/9c/d1/d2015aa0c34e791e64d65d19395e5a9a5528f0c63fd519b9ff +Successfully built megatron_core +DEPRECATION: apex 0.1-ascend-20240523 has a non-standard version number. pip 24.1 will enforce this behaviour change. A possible replacement is to upgrade to a newer version of apex or contact the author to suggest that they release a version with a conforming version number. Discussion can be found at https://github.com/pypa/pip/issues/12063 +Installing collected packages: megatron_core +Successfully installed megatron_core-0.6.0 +WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv ++ pip3 install --no-index --find-links=/data/software/ -e /local_disk/cognitron_vl//third_party/MindSpeed_core_r0.6.0/ +Looking in links: /data/software/ +Obtaining file://local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0 + Preparing metadata (setup.py): started + Preparing metadata (setup.py): finished with status 'done' +WARNING: Error parsing requirements for tokenizers: [Errno 2] No such file or directory: '/root/miniconda3/envs/py38/lib/python3.8/site-packages/tokenizers-0.19.1.dist-info/METADATA' +WARNING: Error parsing requirements for transformers: [Errno 2] No such file or directory: '/root/miniconda3/envs/py38/lib/python3.8/site-packages/transformers-4.40.1.dist-info/METADATA' +DEPRECATION: apex 0.1-ascend-20240523 has a non-standard version number. pip 24.1 will enforce this behaviour change. A possible replacement is to upgrade to a newer version of apex or contact the author to suggest that they release a version with a conforming version number. Discussion can be found at https://github.com/pypa/pip/issues/12063 +Installing collected packages: mindspeed + Running setup.py develop for mindspeed +Successfully installed mindspeed-0.6.0 +WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv ++ pip3 install --no-index --find-links=/data/software/ -e /local_disk/cognitron_vl//third_party/ModelLink/ +Looking in links: /data/software/ +Obtaining file://local_disk/cognitron_vl/third_party/ModelLink + Preparing metadata (setup.py): started + Preparing metadata (setup.py): finished with status 'done' +Requirement already satisfied: numpy in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from modellink==0.0.1) (1.24.4) +Processing data/software/transformers-4.43.2-py3-none-any.whl (from modellink==0.0.1) +Processing data/software/transformers-stream-generator-0.0.5.tar.gz (from modellink==0.0.1) + Preparing metadata (setup.py): started + Preparing metadata (setup.py): finished with status 'done' +Requirement already satisfied: sympy in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from modellink==0.0.1) (1.4) +Requirement already satisfied: decorator in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from modellink==0.0.1) (5.1.1) +Requirement already satisfied: scipy in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from modellink==0.0.1) (1.10.1) +Requirement already satisfied: sentencepiece in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from modellink==0.0.1) (0.2.0) +Requirement already satisfied: einops in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from modellink==0.0.1) (0.7.0) +Requirement already satisfied: datasets in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from modellink==0.0.1) (3.0.0) +Requirement already satisfied: pybind11 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from modellink==0.0.1) (2.13.6) +Requirement already satisfied: accelerate in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from modellink==0.0.1) (0.34.2) +Requirement already satisfied: six in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from modellink==0.0.1) (1.16.0) +Requirement already satisfied: protobuf in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from modellink==0.0.1) (4.25.3) +Processing data/software/peft-0.7.1-py3-none-any.whl (from modellink==0.0.1) +Requirement already satisfied: tiktoken in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from modellink==0.0.1) (0.7.0) +Requirement already satisfied: packaging>=20.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from peft==0.7.1->modellink==0.0.1) (23.2) +Requirement already satisfied: psutil in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from peft==0.7.1->modellink==0.0.1) (5.9.8) +Requirement already satisfied: pyyaml in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from peft==0.7.1->modellink==0.0.1) (5.4.1) +Requirement already satisfied: torch>=1.13.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from peft==0.7.1->modellink==0.0.1) (2.1.0+cpu) +Requirement already satisfied: tqdm in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from peft==0.7.1->modellink==0.0.1) (4.67.1) +Requirement already satisfied: safetensors in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from peft==0.7.1->modellink==0.0.1) (0.4.5) +Requirement already satisfied: huggingface-hub>=0.17.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from peft==0.7.1->modellink==0.0.1) (0.26.2) +Requirement already satisfied: filelock in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from transformers==4.43.2->modellink==0.0.1) (3.13.1) +Requirement already satisfied: regex!=2019.12.17 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from transformers==4.43.2->modellink==0.0.1) (2023.12.25) +Requirement already satisfied: requests in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from transformers==4.43.2->modellink==0.0.1) (2.32.3) +Processing data/software/tokenizers-0.19.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (from transformers==4.43.2->modellink==0.0.1) +Requirement already satisfied: pyarrow>=15.0.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from datasets->modellink==0.0.1) (17.0.0) +Requirement already satisfied: dill<0.3.9,>=0.3.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from datasets->modellink==0.0.1) (0.3.7) +Requirement already satisfied: pandas in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from datasets->modellink==0.0.1) (2.0.3) +Requirement already satisfied: xxhash in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from datasets->modellink==0.0.1) (3.4.1) +Requirement already satisfied: multiprocess in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from datasets->modellink==0.0.1) (0.70.15) +Requirement already satisfied: fsspec<=2024.6.1,>=2023.1.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from fsspec[http]<=2024.6.1,>=2023.1.0->datasets->modellink==0.0.1) (2023.10.0) +Requirement already satisfied: 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/root/miniconda3/envs/py38/lib/python3.8/site-packages (from requests->transformers==4.43.2->modellink==0.0.1) (2024.2.2) +Requirement already satisfied: networkx in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from torch>=1.13.0->peft==0.7.1->modellink==0.0.1) (3.1) +Requirement already satisfied: jinja2 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from torch>=1.13.0->peft==0.7.1->modellink==0.0.1) (3.1.3) +Requirement already satisfied: python-dateutil>=2.8.2 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from pandas->datasets->modellink==0.0.1) (2.8.2) +Requirement already satisfied: pytz>=2020.1 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from pandas->datasets->modellink==0.0.1) (2024.1) +Requirement already satisfied: tzdata>=2022.1 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from pandas->datasets->modellink==0.0.1) (2024.1) +Requirement already satisfied: MarkupSafe>=2.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from jinja2->torch>=1.13.0->peft==0.7.1->modellink==0.0.1) (2.1.5) +Building wheels for collected packages: transformers_stream_generator + Building wheel for transformers_stream_generator (setup.py): started + Building wheel for transformers_stream_generator (setup.py): finished with status 'done' + Created wheel for transformers_stream_generator: filename=transformers_stream_generator-0.0.5-py3-none-any.whl size=12425 sha256=2201832c5148bb94c20e2f5b05a453d326501f66de07674d59fdb18c66628623 + Stored in directory: /root/.cache/pip/wheels/56/8c/42/5381d9c36bc85f28982f4cf8f98dc44d37a6d6c04897a5cb7c +Successfully built transformers_stream_generator +DEPRECATION: apex 0.1-ascend-20240523 has a non-standard version number. pip 24.1 will enforce this behaviour change. A possible replacement is to upgrade to a newer version of apex or contact the author to suggest that they release a version with a conforming version number. Discussion can be found at https://github.com/pypa/pip/issues/12063 +Installing collected packages: tokenizers, transformers, transformers_stream_generator, peft, modellink + Attempting uninstall: tokenizers + Found existing installation: tokenizers 0.20.3 + Uninstalling tokenizers-0.20.3: + Successfully uninstalled tokenizers-0.20.3 + Attempting uninstall: transformers + Found existing installation: transformers 4.46.3 + Uninstalling transformers-4.46.3: + Successfully uninstalled transformers-4.46.3 + Attempting uninstall: peft + Found existing installation: peft 0.7.0 + Uninstalling peft-0.7.0: + Successfully uninstalled peft-0.7.0 + Running setup.py develop for modellink +Successfully installed modellink-0.0.1 peft-0.7.1 tokenizers-0.19.1 transformers-4.43.2 transformers_stream_generator-0.0.5 +WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv ++ export PYTHONPATH=/local_disk/cognitron_vl//third_party/Megatron-LM_core_r0.6.0//:/usr/local/Ascend/ascend-toolkit/latest/python/site-packages:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe:/usr/local/Ascend/ascend-toolkit/latest/python/site-packages:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe: ++ PYTHONPATH=/local_disk/cognitron_vl//third_party/Megatron-LM_core_r0.6.0//:/usr/local/Ascend/ascend-toolkit/latest/python/site-packages:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe:/usr/local/Ascend/ascend-toolkit/latest/python/site-packages:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe: ++ GPUS_PER_NODE=16 ++ NNODES=32 ++ NODE_RANK=18 ++ MASTER_PORT=34567 ++ export CUDA_DEVICE_MAX_CONNECTIONS=1 ++ CUDA_DEVICE_MAX_CONNECTIONS=1 ++ VISION_SEQ_LENGTH=1025 ++ IMAGE_TOKEN_LENGTH=256 ++ IMAGE_SIZE=448 ++ VISION_MODEL_TYPE=intern_300m ++ TP=8 ++ PP=1 ++ CP=2 ++ CP_ALGO=megatron_cp_algo ++ CP_MASK=causal ++ DISTRIBUTED_ARGS=' + --nproc_per_node 16 --nnodes 32 --node_rank 18 --master_addr train-1197954740059955456-93njiyzl9b0g-master-0.train-100034032793.svc.cluster.local --master_port 34567 +' ++ GPT_ARGS=' + --use-mcore-models --tensor-model-parallel-size 8 --pipeline-model-parallel-size 1 --context-parallel-size 2 --context-parallel-algo megatron_cp_algo --cp-attention-mask-type causal --use-cp-send-recv-overlap --no-create-attention-mask-in-dataloader --sparse-mode 4 --sequence-parallel --recompute-method block --recompute-granularity full --recompute-num-layers 48 --num-layers 48 --hidden-size 5120 --ffn-hidden-size 13824 --num-attention-heads 40 --group-query-attention --num-query-groups 8 --tokenizer-type PretrainedFromHF --tokenizer-name-or-path /data_4/models/Qwen/Qwen2.5-14B-Instruct/ --seq-length 131072 --max-position-embeddings 131072 --micro-batch-size 1 --global-batch-size 64 --make-vocab-size-divisible-by 1 --padded-vocab-size 152064 --rotary-base 1000000.0 --lr 5.00e-6 --train-iters 1000 --lr-decay-style cosine --untie-embeddings-and-output-weights --disable-bias-linear --attention-dropout 0.0 --init-method-std 0.01 --hidden-dropout 0.0 --position-embedding-type rope --normalization RMSNorm --use-fused-rmsnorm --norm-epsilon 1e-6 --swiglu --use-flash-attn --use-fused-rotary-pos-emb --use-rotary-position-embeddings --use-fused-swiglu --use-mc2 --no-masked-softmax-fusion --attention-softmax-in-fp32 --min-lr 1.00e-7 --weight-decay 0.0 --lr-warmup-fraction 0.03 --clip-grad 1.0 --adam-beta1 0.9 --adam-beta2 0.999 --add-qkv-bias --initial-loss-scale 4096 --no-gradient-accumulation-fusion --use-distributed-optimizer --bf16 --overlap-grad-reduce --finetune --vision-model-freeze --vision-model-type intern_300m --vision-downsample-ratio 0.5 --vision-projector-type mlp --vision-projector-pre-norm --vision-process-type dynamic --vision-normalize-type imagenet --vision-seq-length 1025 --image-token-length 256 --image-size 448 --prompt-format qwen2 --is-instruction-dataset --max-num-frame 512 --max-fps 1 --add-class-token --min-patch-grid 1 --max-patch-grid 12 --cross-dataset-joint ' ++ DATA_ARGS=' + --data-path /local_disk/cognitron_vl//configs/lcvlm_finetune_stage3.yaml --split 100,0,0 --data-seq-length 131072 --num-workers 8 ' ++ CKPT_ARGS=' + --load /data_2/output/LM/lcvlm_modellink/scripts/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1_stage2.sh/20241014_131952/ --vit-load / --no-load-optim --no-load-rng --seed 424242 --save /data_2/output/LM/scripts/modellink/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1cp2_stage3.sh/20241127_204213// ' ++ OUTPUT_ARGS=' + --log-interval 1 --save-interval 100 --eval-interval 100 --eval-iters 0 --log-throughput --distributed-timeout-minutes 120 ' ++ torchrun --nproc_per_node 16 --nnodes 32 --node_rank 18 --master_addr train-1197954740059955456-93njiyzl9b0g-master-0.train-100034032793.svc.cluster.local --master_port 34567 /local_disk/cognitron_vl//lcvlm_modellink/pretrain_lcvlm.py --use-mcore-models --tensor-model-parallel-size 8 --pipeline-model-parallel-size 1 --context-parallel-size 2 --context-parallel-algo megatron_cp_algo --cp-attention-mask-type causal --use-cp-send-recv-overlap --no-create-attention-mask-in-dataloader --sparse-mode 4 --sequence-parallel --recompute-method block --recompute-granularity full --recompute-num-layers 48 --num-layers 48 --hidden-size 5120 --ffn-hidden-size 13824 --num-attention-heads 40 --group-query-attention --num-query-groups 8 --tokenizer-type PretrainedFromHF --tokenizer-name-or-path /data_4/models/Qwen/Qwen2.5-14B-Instruct/ --seq-length 131072 --max-position-embeddings 131072 --micro-batch-size 1 --global-batch-size 64 --make-vocab-size-divisible-by 1 --padded-vocab-size 152064 --rotary-base 1000000.0 --lr 5.00e-6 --train-iters 1000 --lr-decay-style cosine --untie-embeddings-and-output-weights --disable-bias-linear --attention-dropout 0.0 --init-method-std 0.01 --hidden-dropout 0.0 --position-embedding-type rope --normalization RMSNorm --use-fused-rmsnorm --norm-epsilon 1e-6 --swiglu --use-flash-attn --use-fused-rotary-pos-emb --use-rotary-position-embeddings --use-fused-swiglu --use-mc2 --no-masked-softmax-fusion --attention-softmax-in-fp32 --min-lr 1.00e-7 --weight-decay 0.0 --lr-warmup-fraction 0.03 --clip-grad 1.0 --adam-beta1 0.9 --adam-beta2 0.999 --add-qkv-bias --initial-loss-scale 4096 --no-gradient-accumulation-fusion --use-distributed-optimizer --bf16 --overlap-grad-reduce --finetune --vision-model-freeze --vision-model-type intern_300m --vision-downsample-ratio 0.5 --vision-projector-type mlp --vision-projector-pre-norm --vision-process-type dynamic --vision-normalize-type imagenet --vision-seq-length 1025 --image-token-length 256 --image-size 448 --prompt-format qwen2 --is-instruction-dataset --max-num-frame 512 --max-fps 1 --add-class-token --min-patch-grid 1 --max-patch-grid 12 --cross-dataset-joint --data-path /local_disk/cognitron_vl//configs/lcvlm_finetune_stage3.yaml --split 100,0,0 --data-seq-length 131072 --num-workers 8 --load /data_2/output/LM/lcvlm_modellink/scripts/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1_stage2.sh/20241014_131952/ --vit-load / --no-load-optim --no-load-rng --seed 424242 --save /data_2/output/LM/scripts/modellink/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1cp2_stage3.sh/20241127_204213// --log-interval 1 --save-interval 100 --eval-interval 100 --eval-iters 0 --log-throughput --distributed-timeout-minutes 120 --distributed-backend nccl +[2024-11-27 12:44:10,877] torch.distributed.run: [WARNING] +[2024-11-27 12:44:10,877] torch.distributed.run: [WARNING] ***************************************** +[2024-11-27 12:44:10,877] torch.distributed.run: [WARNING] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. +[2024-11-27 12:44:10,877] torch.distributed.run: [WARNING] ***************************************** +Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root... +Creating extension directory /root/.cache/torch_extensions/py38_cpu/adaptive_cp... +Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root... +Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root... +Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root... +Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root... +Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root... +Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root... +Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root... +Emitting ninja build file /root/.cache/torch_extensions/py38_cpu/adaptive_cp/build.ninja... +Building extension module adaptive_cp... +Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N) +Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root... +Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root... +Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root... +Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root... +Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root... +Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root... +Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root... +Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root... +[1/2] c++ -MMD -MF adaptive_cp.o.d -DTORCH_EXTENSION_NAME=adaptive_cp -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -I/usr/local/Ascend/ascend-toolkit/latest/include -I/root/miniconda3/envs/py38/lib/python3.8/site-packages/torch_npu/include -I/root/miniconda3/envs/py38/lib/python3.8/site-packages/torch_npu/third_party -I/root/miniconda3/envs/py38/lib/python3.8/site-packages/torch_npu/acl -I/root/miniconda3/envs/py38/lib/python3.8/site-packages/torch_npu/inc -isystem /root/miniconda3/envs/py38/lib/python3.8/site-packages/torch/include -isystem /root/miniconda3/envs/py38/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -isystem /root/miniconda3/envs/py38/lib/python3.8/site-packages/torch/include/TH -isystem /root/miniconda3/envs/py38/lib/python3.8/site-packages/torch/include/THC -isystem /root/miniconda3/envs/py38/include/python3.8 -D_GLIBCXX_USE_CXX11_ABI=0 -fPIC -std=c++17 -fstack-protector-all -Wl,-z,relro,-z,now,-z,noexecstack -fPIC -pie -Wl,--disable-new-dtags,--rpath -s -O2 -c local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/ops/csrc/algorithm/adaptive_cp/adaptive_cp.cpp -o adaptive_cp.o +[2/2] c++ adaptive_cp.o -shared -L/usr/local/Ascend/ascend-toolkit/latest/lib64 -lascendcl -L/root/miniconda3/envs/py38/lib/python3.8/site-packages/torch_npu/lib -ltorch_npu -L/root/miniconda3/envs/py38/lib/python3.8/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o adaptive_cp.so +Loading extension module adaptive_cp... +Loading extension module adaptive_cp... +local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32 + warnings.warn("failed to generate the npu_matmul_add_fp32") +Loading extension module adaptive_cp... +local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32 + warnings.warn("failed to generate the npu_matmul_add_fp32") +local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32 + warnings.warn("failed to generate the npu_matmul_add_fp32") +Loading extension module adaptive_cp... +Loading extension module adaptive_cp... +Loading extension module adaptive_cp... +local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32 + warnings.warn("failed to generate the npu_matmul_add_fp32") +local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32 + warnings.warn("failed to generate the npu_matmul_add_fp32") +local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32 + warnings.warn("failed to generate the npu_matmul_add_fp32") +Loading extension module adaptive_cp... +local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32 + warnings.warn("failed to generate the npu_matmul_add_fp32") +Loading extension module adaptive_cp... +local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32 + warnings.warn("failed to generate the npu_matmul_add_fp32") +Loading extension module adaptive_cp... +local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32 + warnings.warn("failed to generate the npu_matmul_add_fp32") +Loading extension module adaptive_cp... +local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32 + warnings.warn("failed to generate the npu_matmul_add_fp32") +Loading extension module adaptive_cp... +Loading extension module adaptive_cp... +local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32 + warnings.warn("failed to generate the npu_matmul_add_fp32") +Loading extension module adaptive_cp... +local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32 + warnings.warn("failed to generate the npu_matmul_add_fp32") +Loading extension module adaptive_cp... +local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32 + warnings.warn("failed to generate the npu_matmul_add_fp32") +Loading extension module adaptive_cp... +local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32 + warnings.warn("failed to generate the npu_matmul_add_fp32") +local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32 + warnings.warn("failed to generate the npu_matmul_add_fp32") +Loading extension module adaptive_cp... +local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32 + warnings.warn("failed to generate the npu_matmul_add_fp32") +/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source? + warn( +/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source? + warn( +/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source? + warn( +/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source? + warn( +/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source? + warn( +/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source? + warn( +/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source? + warn( +/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source? + warn( +/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source? + warn( +/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source? + warn( +/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source? + warn( +/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source? + warn( +/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source? + warn( +/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source? + warn( +/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source? + warn( +/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source? + warn( +> compiling dataset index builder ... +make: Entering directory 'local_disk/cognitron_vl/third_party/Megatron-LM_core_r0.6.0/megatron/core/datasets' +make: Nothing to be done for 'default'. +make: Leaving directory 'local_disk/cognitron_vl/third_party/Megatron-LM_core_r0.6.0/megatron/core/datasets' +>>> done with dataset index builder. Compilation time: 0.071 seconds +vision_projector_recompute False +vision_projector_recompute False +vision_projector_recompute False +vision_projector_recompute False +vision_projector_recompute False +vision_projector_recompute False +vision_projector_recompute False +vision_projector_recompute False +vision_projector_recompute False +vision_projector_recompute False +vision_projector_recompute False +vision_projector_recompute False +vision_projector_recompute False +vision_projector_recompute False +vision_projector_recompute Falsevision_projector_recompute False + +vision_model_freeze +=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False. +=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False. +=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +vision_model_freeze +=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False. +=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False. +=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +vision_model_freeze=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +vision_model_freeze=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +vision_model_freeze=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.vision_model_freeze=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.vision_model_freeze=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.vision_model_freeze +=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + + + + + +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False. + + + + + +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False.model GPTVLModel( + (external_feature_model): MegatronVisionModel( + (vit): InternViTModel( + (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14)) + (position_embeddings): Embedding(1025, 1024) + (decoder): TransformerBlock( + (layers): ModuleList( + (0-23): 24 x InternViTTransformerLayer( + (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + ) + (self_attn_bda): IdentityFuncOp() + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + (mlp_bda): IdentityFuncOp() + ) + ) + ) + ) + (vision_projection): MultimodalProjector( + (encoder): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True) + ) + (embedding): LanguageModelEmbedding( + (word_embeddings): VocabParallelEmbedding() + (embedding_dropout): Dropout(p=0.0, inplace=False) + ) + (rotary_pos_emb): RotaryEmbedding() + (decoder): TransformerBlock( + (layers): ModuleList( + (0-47): 48 x TransformerLayer( + (input_layernorm): RMSNorm() + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + (q_layernorm): IdentityOp() + (k_layernorm): IdentityOp() + ) + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): RMSNorm() + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + ) + (final_layernorm): RMSNorm() + ) + (output_layer): ColumnParallelLinear() +) +=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + + + + + +=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False. + + + + + +=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.vision_model_freeze=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False. + + + + + +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +vision_model_freeze=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + + + + + +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False. + + + + + +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + + + +vision_model_freeze=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + + + + + +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + + + + +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + + + +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + + +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +model GPTVLModel( + (external_feature_model): MegatronVisionModel( + (vit): InternViTModel( + (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14)) + (position_embeddings): Embedding(1025, 1024) + (decoder): TransformerBlock( + (layers): ModuleList( + (0-23): 24 x InternViTTransformerLayer( + (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + ) + (self_attn_bda): IdentityFuncOp() + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + (mlp_bda): IdentityFuncOp() + ) + ) + ) + ) + (vision_projection): MultimodalProjector( + (encoder): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True) + ) + (embedding): LanguageModelEmbedding( + (word_embeddings): VocabParallelEmbedding() + (embedding_dropout): Dropout(p=0.0, inplace=False) + ) + (rotary_pos_emb): RotaryEmbedding() + (decoder): TransformerBlock( + (layers): ModuleList( + (0-47): 48 x TransformerLayer( + (input_layernorm): RMSNorm() + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + (q_layernorm): IdentityOp() + (k_layernorm): IdentityOp() + ) + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): RMSNorm() + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + ) + (final_layernorm): RMSNorm() + ) + (output_layer): ColumnParallelLinear() +) +model GPTVLModel( + (external_feature_model): MegatronVisionModel( + (vit): InternViTModel( + (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14)) + (position_embeddings): Embedding(1025, 1024) + (decoder): TransformerBlock( + (layers): ModuleList( + (0-23): 24 x InternViTTransformerLayer( + (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + ) + (self_attn_bda): IdentityFuncOp() + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + (mlp_bda): IdentityFuncOp() + ) + ) + ) + ) + (vision_projection): MultimodalProjector( + (encoder): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True) + ) + (embedding): LanguageModelEmbedding( + (word_embeddings): VocabParallelEmbedding() + (embedding_dropout): Dropout(p=0.0, inplace=False) + ) + (rotary_pos_emb): RotaryEmbedding() + (decoder): TransformerBlock( + (layers): ModuleList( + (0-47): 48 x TransformerLayer( + (input_layernorm): RMSNorm() + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + (q_layernorm): IdentityOp() + (k_layernorm): IdentityOp() + ) + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): RMSNorm() + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + ) + (final_layernorm): RMSNorm() + ) + (output_layer): ColumnParallelLinear() +) +vision_model_freeze +=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False. +=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False. +=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False. +model GPTVLModel( + (external_feature_model): MegatronVisionModel( + (vit): InternViTModel( + (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14)) + (position_embeddings): Embedding(1025, 1024) + (decoder): TransformerBlock( + (layers): ModuleList( + (0-23): 24 x InternViTTransformerLayer( + (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + ) + (self_attn_bda): IdentityFuncOp() + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + (mlp_bda): IdentityFuncOp() + ) + ) + ) + ) + (vision_projection): MultimodalProjector( + (encoder): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True) + ) + (embedding): LanguageModelEmbedding( + (word_embeddings): VocabParallelEmbedding() + (embedding_dropout): Dropout(p=0.0, inplace=False) + ) + (rotary_pos_emb): RotaryEmbedding() + (decoder): TransformerBlock( + (layers): ModuleList( + (0-47): 48 x TransformerLayer( + (input_layernorm): RMSNorm() + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + (q_layernorm): IdentityOp() + (k_layernorm): IdentityOp() + ) + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): RMSNorm() + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + ) + (final_layernorm): RMSNorm() + ) + (output_layer): ColumnParallelLinear() +)=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +model GPTVLModel( + (external_feature_model): MegatronVisionModel( + (vit): InternViTModel( + (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14)) + (position_embeddings): Embedding(1025, 1024) + (decoder): TransformerBlock( + (layers): ModuleList( + (0-23): 24 x InternViTTransformerLayer( + (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + ) + (self_attn_bda): IdentityFuncOp() + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + (mlp_bda): IdentityFuncOp() + ) + ) + ) + ) + (vision_projection): MultimodalProjector( + (encoder): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True) + ) + (embedding): LanguageModelEmbedding( + (word_embeddings): VocabParallelEmbedding() + (embedding_dropout): Dropout(p=0.0, inplace=False) + ) + (rotary_pos_emb): RotaryEmbedding() + (decoder): TransformerBlock( + (layers): ModuleList( + (0-47): 48 x TransformerLayer( + (input_layernorm): RMSNorm() + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + (q_layernorm): IdentityOp() + (k_layernorm): IdentityOp() + ) + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): RMSNorm() + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + ) + (final_layernorm): RMSNorm() + ) + (output_layer): ColumnParallelLinear() +)=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False.model GPTVLModel( + (external_feature_model): MegatronVisionModel( + (vit): InternViTModel( + (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14)) + (position_embeddings): Embedding(1025, 1024) + (decoder): TransformerBlock( + (layers): ModuleList( + (0-23): 24 x InternViTTransformerLayer( + (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + ) + (self_attn_bda): IdentityFuncOp() + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + (mlp_bda): IdentityFuncOp() + ) + ) + ) + ) + (vision_projection): MultimodalProjector( + (encoder): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True) + ) + (embedding): LanguageModelEmbedding( + (word_embeddings): VocabParallelEmbedding() + (embedding_dropout): Dropout(p=0.0, inplace=False) + ) + (rotary_pos_emb): RotaryEmbedding() + (decoder): TransformerBlock( + (layers): ModuleList( + (0-47): 48 x TransformerLayer( + (input_layernorm): RMSNorm() + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + (q_layernorm): IdentityOp() + (k_layernorm): IdentityOp() + ) + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): RMSNorm() + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + ) + (final_layernorm): RMSNorm() + ) + (output_layer): ColumnParallelLinear() +) + +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False. +model GPTVLModel( + (external_feature_model): MegatronVisionModel( + (vit): InternViTModel( + (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14)) + (position_embeddings): Embedding(1025, 1024) + (decoder): TransformerBlock( + (layers): ModuleList( + (0-23): 24 x InternViTTransformerLayer( + (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + ) + (self_attn_bda): IdentityFuncOp() + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + (mlp_bda): IdentityFuncOp() + ) + ) + ) + ) + (vision_projection): MultimodalProjector( + (encoder): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True) + ) + (embedding): LanguageModelEmbedding( + (word_embeddings): VocabParallelEmbedding() + (embedding_dropout): Dropout(p=0.0, inplace=False) + ) + (rotary_pos_emb): RotaryEmbedding() + (decoder): TransformerBlock( + (layers): ModuleList( + (0-47): 48 x TransformerLayer( + (input_layernorm): RMSNorm() + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + (q_layernorm): IdentityOp() + (k_layernorm): IdentityOp() + ) + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): RMSNorm() + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + ) + (final_layernorm): RMSNorm() + ) + (output_layer): ColumnParallelLinear() +)=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.model GPTVLModel( + (external_feature_model): MegatronVisionModel( + (vit): InternViTModel( + (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14)) + (position_embeddings): Embedding(1025, 1024) + (decoder): TransformerBlock( + (layers): ModuleList( + (0-23): 24 x InternViTTransformerLayer( + (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + ) + (self_attn_bda): IdentityFuncOp() + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + (mlp_bda): IdentityFuncOp() + ) + ) + ) + ) + (vision_projection): MultimodalProjector( + (encoder): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True) + ) + (embedding): LanguageModelEmbedding( + (word_embeddings): VocabParallelEmbedding() + (embedding_dropout): Dropout(p=0.0, inplace=False) + ) + (rotary_pos_emb): RotaryEmbedding() + (decoder): TransformerBlock( + (layers): ModuleList( + (0-47): 48 x TransformerLayer( + (input_layernorm): RMSNorm() + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + (q_layernorm): IdentityOp() + (k_layernorm): IdentityOp() + ) + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): RMSNorm() + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + ) + (final_layernorm): RMSNorm() + ) + (output_layer): ColumnParallelLinear() +) + +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +model GPTVLModel( + (external_feature_model): MegatronVisionModel( + (vit): InternViTModel( + (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14)) + (position_embeddings): Embedding(1025, 1024) + (decoder): TransformerBlock( + (layers): ModuleList( + (0-23): 24 x InternViTTransformerLayer( + (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + ) + (self_attn_bda): IdentityFuncOp() + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + (mlp_bda): IdentityFuncOp() + ) + ) + ) + ) + (vision_projection): MultimodalProjector( + (encoder): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True) + ) + (embedding): LanguageModelEmbedding( + (word_embeddings): VocabParallelEmbedding() + (embedding_dropout): Dropout(p=0.0, inplace=False) + ) + (rotary_pos_emb): RotaryEmbedding() + (decoder): TransformerBlock( + (layers): ModuleList( + (0-47): 48 x TransformerLayer( + (input_layernorm): RMSNorm() + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + (q_layernorm): IdentityOp() + (k_layernorm): IdentityOp() + ) + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): RMSNorm() + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + ) + (final_layernorm): RMSNorm() + ) + (output_layer): ColumnParallelLinear() +)=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +model GPTVLModel( + (external_feature_model): MegatronVisionModel( + (vit): InternViTModel( + (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14)) + (position_embeddings): Embedding(1025, 1024) + (decoder): TransformerBlock( + (layers): ModuleList( + (0-23): 24 x InternViTTransformerLayer( + (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + ) + (self_attn_bda): IdentityFuncOp() + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + (mlp_bda): IdentityFuncOp() + ) + ) + ) + ) + (vision_projection): MultimodalProjector( + (encoder): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True) + ) + (embedding): LanguageModelEmbedding( + (word_embeddings): VocabParallelEmbedding() + (embedding_dropout): Dropout(p=0.0, inplace=False) + ) + (rotary_pos_emb): RotaryEmbedding() + (decoder): TransformerBlock( + (layers): ModuleList( + (0-47): 48 x TransformerLayer( + (input_layernorm): RMSNorm() + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + (q_layernorm): IdentityOp() + (k_layernorm): IdentityOp() + ) + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): RMSNorm() + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + ) + (final_layernorm): RMSNorm() + ) + (output_layer): ColumnParallelLinear() +)=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +model GPTVLModel( + (external_feature_model): MegatronVisionModel( + (vit): InternViTModel( + (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14)) + (position_embeddings): Embedding(1025, 1024) + (decoder): TransformerBlock( + (layers): ModuleList( + (0-23): 24 x InternViTTransformerLayer( + (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + ) + (self_attn_bda): IdentityFuncOp() + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + (mlp_bda): IdentityFuncOp() + ) + ) + ) + ) + (vision_projection): MultimodalProjector( + (encoder): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True) + ) + (embedding): LanguageModelEmbedding( + (word_embeddings): VocabParallelEmbedding() + (embedding_dropout): Dropout(p=0.0, inplace=False) + ) + (rotary_pos_emb): RotaryEmbedding() + (decoder): TransformerBlock( + (layers): ModuleList( + (0-47): 48 x TransformerLayer( + (input_layernorm): RMSNorm() + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + (q_layernorm): IdentityOp() + (k_layernorm): IdentityOp() + ) + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): RMSNorm() + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + ) + (final_layernorm): RMSNorm() + ) + (output_layer): ColumnParallelLinear() +) +model GPTVLModel( + (external_feature_model): MegatronVisionModel( + (vit): InternViTModel( + (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14)) + (position_embeddings): Embedding(1025, 1024) + (decoder): TransformerBlock( + (layers): ModuleList( + (0-23): 24 x InternViTTransformerLayer( + (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + ) + (self_attn_bda): IdentityFuncOp() + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + (mlp_bda): IdentityFuncOp() + ) + ) + ) + ) + (vision_projection): MultimodalProjector( + (encoder): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True) + ) + (embedding): LanguageModelEmbedding( + (word_embeddings): VocabParallelEmbedding() + (embedding_dropout): Dropout(p=0.0, inplace=False) + ) + (rotary_pos_emb): RotaryEmbedding() + (decoder): TransformerBlock( + (layers): ModuleList( + (0-47): 48 x TransformerLayer( + (input_layernorm): RMSNorm() + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + (q_layernorm): IdentityOp() + (k_layernorm): IdentityOp() + ) + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): RMSNorm() + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + ) + (final_layernorm): RMSNorm() + ) + (output_layer): ColumnParallelLinear() +) +vision_model_freeze +=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False. +=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False. +=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False. +vision_model_freeze=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False. +=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. + +=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +model GPTVLModel( + (external_feature_model): MegatronVisionModel( + (vit): InternViTModel( + (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14)) + (position_embeddings): Embedding(1025, 1024) + (decoder): TransformerBlock( + (layers): ModuleList( + (0-23): 24 x InternViTTransformerLayer( + (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + ) + (self_attn_bda): IdentityFuncOp() + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + (mlp_bda): IdentityFuncOp() + ) + ) + ) + ) + (vision_projection): MultimodalProjector( + (encoder): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True) + ) + (embedding): LanguageModelEmbedding( + (word_embeddings): VocabParallelEmbedding() + (embedding_dropout): Dropout(p=0.0, inplace=False) + ) + (rotary_pos_emb): RotaryEmbedding() + (decoder): TransformerBlock( + (layers): ModuleList( + (0-47): 48 x TransformerLayer( + (input_layernorm): RMSNorm() + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + (q_layernorm): IdentityOp() + (k_layernorm): IdentityOp() + ) + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): RMSNorm() + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + ) + (final_layernorm): RMSNorm() + ) + (output_layer): ColumnParallelLinear() +) +model GPTVLModel( + (external_feature_model): MegatronVisionModel( + (vit): InternViTModel( + (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14)) + (position_embeddings): Embedding(1025, 1024) + (decoder): TransformerBlock( + (layers): ModuleList( + (0-23): 24 x InternViTTransformerLayer( + (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + ) + (self_attn_bda): IdentityFuncOp() + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + (mlp_bda): IdentityFuncOp() + ) + ) + ) + ) + (vision_projection): MultimodalProjector( + (encoder): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True) + ) + (embedding): LanguageModelEmbedding( + (word_embeddings): VocabParallelEmbedding() + (embedding_dropout): Dropout(p=0.0, inplace=False) + ) + (rotary_pos_emb): RotaryEmbedding() + (decoder): TransformerBlock( + (layers): ModuleList( + (0-47): 48 x TransformerLayer( + (input_layernorm): RMSNorm() + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + (q_layernorm): IdentityOp() + (k_layernorm): IdentityOp() + ) + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): RMSNorm() + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + ) + (final_layernorm): RMSNorm() + ) + (output_layer): ColumnParallelLinear() +) +vision_model_freeze +=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False. +=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False. +=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +vision_model_freeze +=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False. +=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False. +=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False. +=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False. +model GPTVLModel( + (external_feature_model): MegatronVisionModel( + (vit): InternViTModel( + (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14)) + (position_embeddings): Embedding(1025, 1024) + (decoder): TransformerBlock( + (layers): ModuleList( + (0-23): 24 x InternViTTransformerLayer( + (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + ) + (self_attn_bda): IdentityFuncOp() + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + (mlp_bda): IdentityFuncOp() + ) + ) + ) + ) + (vision_projection): MultimodalProjector( + (encoder): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True) + ) + (embedding): LanguageModelEmbedding( + (word_embeddings): VocabParallelEmbedding() + (embedding_dropout): Dropout(p=0.0, inplace=False) + ) + (rotary_pos_emb): RotaryEmbedding() + (decoder): TransformerBlock( + (layers): ModuleList( + (0-47): 48 x TransformerLayer( + (input_layernorm): RMSNorm() + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + (q_layernorm): IdentityOp() + (k_layernorm): IdentityOp() + ) + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): RMSNorm() + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + ) + (final_layernorm): RMSNorm() + ) + (output_layer): ColumnParallelLinear() +) +model GPTVLModel( + (external_feature_model): MegatronVisionModel( + (vit): InternViTModel( + (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14)) + (position_embeddings): Embedding(1025, 1024) + (decoder): TransformerBlock( + (layers): ModuleList( + (0-23): 24 x InternViTTransformerLayer( + (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + ) + (self_attn_bda): IdentityFuncOp() + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + (mlp_bda): IdentityFuncOp() + ) + ) + ) + ) + (vision_projection): MultimodalProjector( + (encoder): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True) + ) + (embedding): LanguageModelEmbedding( + (word_embeddings): VocabParallelEmbedding() + (embedding_dropout): Dropout(p=0.0, inplace=False) + ) + (rotary_pos_emb): RotaryEmbedding() + (decoder): TransformerBlock( + (layers): ModuleList( + (0-47): 48 x TransformerLayer( + (input_layernorm): RMSNorm() + (self_attention): SelfAttention( + (core_attention): DotProductAttention( + (scale_mask_softmax): FusedScaleMaskSoftmax() + (attention_dropout): Dropout(p=0.0, inplace=False) + ) + (linear_proj): RowParallelLinear() + (linear_qkv): ColumnParallelLinear() + (q_layernorm): IdentityOp() + (k_layernorm): IdentityOp() + ) + (pre_cross_attn_layernorm): IdentityOp() + (cross_attention): IdentityOp() + (cross_attn_bda): IdentityFuncOp() + (pre_mlp_layernorm): RMSNorm() + (mlp): MLP( + (linear_fc1): ColumnParallelLinear() + (linear_fc2): RowParallelLinear() + ) + ) + ) + (final_layernorm): RMSNorm() + ) + (output_layer): ColumnParallelLinear() +) +_get_param_groups name module.module.external_feature_model.vision_projection.encoder.linear_fc1.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.external_feature_model.vision_projection.encoder.linear_fc2.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.external_feature_model.pre_proj_layernorm.weight key (0.0, 1.0, False, False) +_get_param_groups name module.module.external_feature_model.pre_proj_layernorm.bias key (0.0, 1.0, False, False) +_get_param_groups name module.module.embedding.word_embeddings.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.0.input_layernorm.weight key (0.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.0.self_attention.linear_proj.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.0.self_attention.linear_qkv.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.0.self_attention.linear_qkv.bias key (0.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.0.pre_mlp_layernorm.weight key (0.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.0.mlp.linear_fc1.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.0.mlp.linear_fc2.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.1.input_layernorm.weight key (0.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.1.self_attention.linear_proj.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.1.self_attention.linear_qkv.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.1.self_attention.linear_qkv.bias key (0.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.1.pre_mlp_layernorm.weight key (0.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.1.mlp.linear_fc1.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.1.mlp.linear_fc2.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.2.input_layernorm.weight key (0.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.2.self_attention.linear_proj.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.2.self_attention.linear_qkv.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.2.self_attention.linear_qkv.bias key (0.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.2.pre_mlp_layernorm.weight key (0.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.2.mlp.linear_fc1.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.2.mlp.linear_fc2.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.3.input_layernorm.weight key (0.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.3.self_attention.linear_proj.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.3.self_attention.linear_qkv.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.3.self_attention.linear_qkv.bias key (0.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.3.pre_mlp_layernorm.weight key (0.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.3.mlp.linear_fc1.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.3.mlp.linear_fc2.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.4.input_layernorm.weight key (0.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.4.self_attention.linear_proj.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.4.self_attention.linear_qkv.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.4.self_attention.linear_qkv.bias key (0.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.4.pre_mlp_layernorm.weight key (0.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.4.mlp.linear_fc1.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.4.mlp.linear_fc2.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.external_feature_model.vision_projection.encoder.linear_fc1.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.5.input_layernorm.weight key (0.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.5.self_attention.linear_proj.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.5.self_attention.linear_qkv.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.5.self_attention.linear_qkv.bias key (0.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.5.pre_mlp_layernorm.weight key (0.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.5.mlp.linear_fc1.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.5.mlp.linear_fc2.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.6.input_layernorm.weight key (0.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.6.self_attention.linear_proj.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.6.self_attention.linear_qkv.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.6.self_attention.linear_qkv.bias key (0.0, 1.0, False, False) +_get_param_groups name module.module.external_feature_model.vision_projection.encoder.linear_fc2.weight key (1.0, 1.0, False, False)_get_param_groups name module.module.decoder.layers.6.pre_mlp_layernorm.weight key (0.0, 1.0, False, False) + +_get_param_groups name module.module.decoder.layers.6.mlp.linear_fc1.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.external_feature_model.pre_proj_layernorm.weight key (0.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.6.mlp.linear_fc2.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.7.input_layernorm.weight key (0.0, 1.0, False, False) +_get_param_groups name module.module.external_feature_model.pre_proj_layernorm.bias key (0.0, 1.0, False, False) +_get_param_groups name module.module.decoder.layers.7.self_attention.linear_proj.weight key (1.0, 1.0, False, False) +_get_param_groups name module.module.embedding.word_embeddings.weight key (1.0, 1.0, False, False) 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/data_2/output/LM/lcvlm_modellink/scripts/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1_stage2.sh/20241014_131952/iter_0005000/mp_rank_06/model_optim_rng.pt +_load_base_checkpoint /data_2/output/LM/lcvlm_modellink/scripts/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1_stage2.sh/20241014_131952/iter_0005000/mp_rank_07/model_optim_rng.pt +load_checkpoint iteration 0 +load_checkpoint release False +strict True +load_checkpoint iteration 0 +load_checkpoint release False +strict True +load_checkpoint iteration 0 +load_checkpoint release False +strict True +load_checkpoint iteration 0 +load_checkpoint release False +strict True +load_checkpoint iteration 0 +load_checkpoint release False +strict True +load_checkpoint iteration 0 +load_checkpoint release False +strict True +load_checkpoint iteration 0 +load_checkpoint release False +strict True +load_checkpoint iteration 0 +load_checkpoint release False +strict True +load_checkpoint iteration 0 +load_checkpoint release False +strict True +load_checkpoint iteration 0 +load_checkpoint release False +strict True +load_checkpoint iteration 0 +load_checkpoint release False +strict True +load_checkpoint iteration 0 +load_checkpoint release False +strict True +load_checkpoint iteration 0 +load_checkpoint release False +strict True +load_checkpoint iteration 0 +load_checkpoint release False +strict True +load_checkpoint iteration 0 +load_checkpoint release False +strict True +load_checkpoint iteration 0 +load_checkpoint release False +strict True +> rank 301 does not create GPT datasets ... +> rank 293 does not create GPT datasets ... +> rank 299 does not create GPT datasets ...> rank 294 does not create GPT datasets ... + +> rank 292 does not create GPT datasets ... +> rank 291 does not create GPT datasets ...> rank 296 is creating GPT datasets ... + +> rank 298 does not create GPT datasets ...> rank 295 does not create GPT datasets ... + +> rank 300 does not create GPT datasets ... +> rank 303 does not create GPT datasets ... +> rank 288 is creating GPT datasets ... +> rank 290 does not create GPT datasets ... +> rank 289 does not create GPT datasets ... +> rank 297 does not create GPT datasets ... +> rank 302 does not create GPT datasets ... +target_ratios [(1, 1), (1, 2), (2, 1), (3, 1), (1, 3), (2, 2), (4, 1), (1, 4), (5, 1), (1, 5), (1, 6), (6, 1), (3, 2), (2, 3), (7, 1), (1, 7), (4, 2), (2, 4), (1, 8), (8, 1), (1, 9), (3, 3), (9, 1), (2, 5), (5, 2), (10, 1), (1, 10), (11, 1), (1, 11), (12, 1), (3, 4), (4, 3), (1, 12), (6, 2), (2, 6)] +possible_resolutions [[448, 448], [448, 896], [896, 448], [1344, 448], [448, 1344], [896, 896], [1792, 448], [448, 1792], [2240, 448], [448, 2240], [448, 2688], [2688, 448], [1344, 896], [896, 1344], [3136, 448], [448, 3136], [1792, 896], [896, 1792], [448, 3584], [3584, 448], [448, 4032], [1344, 1344], [4032, 448], [896, 2240], [2240, 896], [4480, 448], [448, 4480], [4928, 448], [448, 4928], [5376, 448], [1344, 1792], [1792, 1344], [448, 5376], [2688, 896], [896, 2688]] +target_ratios [(1, 1), (1, 2), (2, 1), (3, 1), (1, 3), (2, 2), (4, 1), (1, 4), (5, 1), (1, 5), (1, 6), (6, 1), (3, 2), (2, 3), (7, 1), (1, 7), (4, 2), (2, 4), (1, 8), (8, 1), (1, 9), (3, 3), (9, 1), (2, 5), (5, 2), (10, 1), (1, 10), (11, 1), (1, 11), (12, 1), (3, 4), (4, 3), (1, 12), (6, 2), (2, 6)] +possible_resolutions [[448, 448], [448, 896], [896, 448], [1344, 448], [448, 1344], [896, 896], [1792, 448], [448, 1792], [2240, 448], [448, 2240], [448, 2688], [2688, 448], [1344, 896], [896, 1344], [3136, 448], [448, 3136], [1792, 896], [896, 1792], [448, 3584], [3584, 448], [448, 4032], [1344, 1344], [4032, 448], [896, 2240], [2240, 896], [4480, 448], [448, 4480], [4928, 448], [448, 4928], [5376, 448], [1344, 1792], [1792, 1344], [448, 5376], [2688, 896], [896, 2688]] +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 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short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 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short failure +................................................................................[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +................[h264 @ 0x5566d3c3f6c0] [h264 @ 0x564616e5e900] mmco: unref short failure +mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 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short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 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short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x56461172bf00] mmco: unref short failure +[h264 @ 0x56461172bf00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5646117c20c0] mmco: unref short failure +[h264 @ 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short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d0ff74c0] mmco: unref short failure +[h264 @ 0x5566d0ff74c0] mmco: unref short failure +[h264 @ 0x564615076840] mmco: unref short failure +[h264 @ 0x564615076840] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564611b6d4c0] mmco: unref short failure +[h264 @ 0x564611b6d4c0] mmco: unref short failure +[h264 @ 0x5566d35f9fc0] mmco: unref short failure +[h264 @ 0x5566d35f9fc0] mmco: unref short failure +[h264 @ 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short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d2107940] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d309d940] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d309d940] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 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short failure +[h264 @ 0x5566d26c97c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d2256b40] mmco: unref short failure +[h264 @ 0x564610668200] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d0efcf00] mmco: unref short failure +[h264 @ 0x5566d0efcf00] mmco: unref short failure +[h264 @ 0x5566d0efcf00] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d4fe8540] mmco: unref short failure +[h264 @ 0x564610fc3b40] mmco: unref short failure +[h264 @ 0x5566d4fe8540] mmco: unref short failure +[h264 @ 0x5566d4fe8540] mmco: unref short failure +[h264 @ 0x564610fc3b40] mmco: unref short failure +[h264 @ 0x564610fc3b40] mmco: unref short failure +[h264 @ 0x5566d218cd80] mmco: unref short failure +[h264 @ 0x5566d218cd80] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x5566d4fe8540] mmco: unref short failure +[h264 @ 0x564610fc3b40] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x56460ff43140] mmco: unref short failure +[h264 @ 0x56460ff43140] mmco: unref short failure +[h264 @ 0x564610fc3b40] mmco: unref short failure +[h264 @ 0x5566d4fe8540] mmco: unref short failure +[h264 @ 0x564610fc3b40] mmco: unref short failure +[h264 @ 0x5566d4fe8540] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x56460ff43140] mmco: unref short failure +[h264 @ 0x564610fc3b40] mmco: unref short failure +[h264 @ 0x5566d4fe8540] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d4fe8540] mmco: unref short failure +[h264 @ 0x5566d4fe8540] mmco: unref short failure +[h264 @ 0x5646100db280] mmco: unref short failure +[h264 @ 0x5646100db280] mmco: unref short failure +[h264 @ 0x5566d4fe8540] mmco: unref short failure +[h264 @ 0x5646100db280] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x5566d2f9eb00] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x5566d1f8f300] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x5646100db280] mmco: unref short failure +[h264 @ 0x5646100db280] mmco: unref short failure +[h264 @ 0x5566d4fe8540] mmco: unref short failure +[h264 @ 0x5566d4fe8540] mmco: unref short failure +[h264 @ 0x5646100db280] mmco: unref short failure +[h264 @ 0x5566d4fe8540] mmco: unref short failure +[h264 @ 0x5566d4fe8540] mmco: unref short failure +[h264 @ 0x5646100db280] mmco: unref short failure +[h264 @ 0x5646100db280] mmco: unref short failure +[h264 @ 0x5646100db280] mmco: unref short failure +[h264 @ 0x5566d4fe8540] mmco: unref short failure +[h264 @ 0x5566d4fe8540] mmco: unref short failure +[h264 @ 0x5646114db400] mmco: unref short failure +[h264 @ 0x5646114db400] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x5646114db400] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x5646114db400] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x5646114db400] mmco: unref short failure +[h264 @ 0x5646114db400] mmco: unref short failure +[h264 @ 0x5646114db400] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x5646114db400] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x5646114db400] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x5646114db400] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x564612403880] mmco: unref short failure +[h264 @ 0x564612403880] mmco: unref short failure +[h264 @ 0x564612403880] mmco: unref short failure +[h264 @ 0x5566d4711fc0] mmco: unref short failure +[h264 @ 0x5566d4711fc0] mmco: unref short failure +[h264 @ 0x564612403880] mmco: unref short failure +[h264 @ 0x564612403880] mmco: unref short failure +[h264 @ 0x5566d4711fc0] mmco: unref short failure +[h264 @ 0x5566d4711fc0] mmco: unref short failure +[h264 @ 0x564612403880] mmco: unref short failure +[h264 @ 0x564612403880] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564612403880] mmco: unref short failure +[h264 @ 0x5566d4711fc0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564612403880] mmco: unref short failure +[h264 @ 0x564612403880] mmco: unref short failure +[h264 @ 0x5566d4711fc0] mmco: unref short failure +[h264 @ 0x5566d4711fc0] mmco: unref short failure +[h264 @ 0x564612403880] mmco: unref short failure +[h264 @ 0x564612403880] mmco: unref short failure +[h264 @ 0x5566d4711fc0] mmco: unref short failure +[h264 @ 0x5566d4711fc0] mmco: unref short failure +[h264 @ 0x564610391880] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x564612403880] mmco: unref short failure +[h264 @ 0x5566d4711fc0] mmco: unref short failure +[h264 @ 0x564612403880] mmco: unref short failure +[h264 @ 0x5566d4711fc0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x5646114db400] mmco: unref short failure +[h264 @ 0x5646114db400] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x5566d2e663c0] mmco: unref short failure +[h264 @ 0x56460f76d6c0] Missing reference picture, default is 65530 +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x56460f76d6c0] Missing reference picture, default is 65530 +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x5566d2e663c0] Missing reference picture, default is 65530 +[h264 @ 0x5566d2e663c0] mmco: unref short failure +[h264 @ 0x5566d2e663c0] mmco: unref short failure +[h264 @ 0x5566d2e663c0] Missing reference picture, default is 65530 +[h264 @ 0x5566d2e663c0] mmco: unref short failure +[h264 @ 0x5566d2e663c0] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x564610f89940] mmco: unref short failure +[h264 @ 0x564610f89940] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d2ecccc0] mmco: unref short failure +[h264 @ 0x5566d2ecccc0] mmco: unref short failure +[h264 @ 0x56460f7f7140] mmco: unref short failure +[h264 @ 0x56460f7f7140] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x564613445e00] mmco: unref short failure +[h264 @ 0x564613445e00] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d256c0c0] mmco: unref short failure +[h264 @ 0x5566d4711fc0] mmco: unref short failure +[h264 @ 0x5566d4711fc0] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d5705780] mmco: unref short failure +[h264 @ 0x5566d5705780] mmco: unref short failure +[h264 @ 0x5566d4711fc0] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5566d4711fc0] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d792c200] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d792c200] mmco: unref short failure +[h264 @ 0x5566d792c200] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x5566d792c200] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x564610f89940] mmco: unref short failure +[h264 @ 0x564610f89940] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d792c200] mmco: unref short failure +[h264 @ 0x5566d792c200] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d792c200] mmco: unref short failure +[h264 @ 0x5566d792c200] mmco: unref short failure +[h264 @ 0x5566d4711fc0] mmco: unref short failure +[h264 @ 0x5566d4711fc0] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5566d4711fc0] mmco: unref short failure +[h264 @ 0x5566d4711fc0] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d5705780] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d5705780] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d5705780] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d1f8f300] mmco: unref short failure +[h264 @ 0x5566d1f8f300] mmco: unref short failure +[h264 @ 0x56460f965740] mmco: unref short failure +[h264 @ 0x56460f965740] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d20fc5c0] mmco: unref short failure +[h264 @ 0x5566d20fc5c0] mmco: unref short failure +[h264 @ 0x564610ee0480] mmco: unref short failure +[h264 @ 0x564610ee0480] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d20fc5c0] mmco: unref short failure +[h264 @ 0x564610ee0480] mmco: unref short failure +[h264 @ 0x5566d20fc5c0] mmco: unref short failure +[h264 @ 0x564610ee0480] mmco: unref short failure +[h264 @ 0x5566d20fc5c0] mmco: unref short failure +[h264 @ 0x5566d20fc5c0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 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0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d35f9fc0] mmco: unref short failure +[h264 @ 0x5566d35f9fc0] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d35f9fc0] mmco: unref short failure +[h264 @ 0x5566d35f9fc0] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d35f9fc0] mmco: unref short failure +[h264 @ 0x5566d35f9fc0] mmco: unref short failure +[h264 @ 0x5566d35f9fc0] mmco: unref short failure +[h264 @ 0x5566d35f9fc0] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d35f9fc0] mmco: unref short failure +[h264 @ 0x5566d35f9fc0] mmco: unref 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0x5566d3026c80] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +local_disk/cognitron_vl/cognitron_vl/data/processor/image_processor.py:265: ResourceWarning: unclosed file <_io.BufferedReader name='/data/data/LMM/Vision-Flan/vision-flan_191-task_1k/images_191task_1k/KVQA+image_captioning_503_33203.JPG'> + image = Image.open(img_or_path).convert("RGB") +local_disk/cognitron_vl/cognitron_vl/data/processor/image_processor.py:265: ResourceWarning: unclosed file <_io.BufferedReader name='/data/data/LMM/Vision-Flan/vision-flan_191-task_1k/images_191task_1k/KVQA+image_captioning_503_33203.JPG'> + image = Image.open(img_or_path).convert("RGB") +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d2e27d80] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x56461087ad00] mmco: unref short failure +[h264 @ 0x56461087ad00] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d162fb40] mmco: unref short failure +[h264 @ 0x5566d162fb40] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 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short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x5646101f02c0] mmco: unref short failure +[h264 @ 0x5646101f02c0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x5646101f02c0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x5646101f02c0] mmco: unref short failure +[h264 @ 0x5646101f02c0] mmco: unref short failure +[h264 @ 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short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x5646101f02c0] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d2256b40] mmco: unref short failure +[h264 @ 0x564610d13e00] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d3929a40] mmco: unref short failure +[h264 @ 0x5566d3929a40] mmco: unref short failure +[h264 @ 0x5646114fa080] mmco: unref short failure +[h264 @ 0x5646114fa080] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x5646114fa080] mmco: unref short failure +[h264 @ 0x5646114fa080] mmco: unref short failure +[h264 @ 0x5646114fa080] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d2e27d80] mmco: unref short failure +[h264 @ 0x5566d2e27d80] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d2e27d80] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d5b1bf80] mmco: unref short failure +[h264 @ 0x5646124a6e00] mmco: unref short failure +processed_samples 500 unjoint_samples 500 joint_samples 35 [98170, 112968] +processed_samples 500 unjoint_samples 500 joint_samples 34 [121244, 42613] +processed_samples 500 unjoint_samples 500 joint_samples 32 [113680, 75621] +processed_samples 500 unjoint_samples 500 joint_samples 34 [68131, 109229] +processed_samples 500 unjoint_samples 500 joint_samples 35 [98170, 112968] +processed_samples 500 unjoint_samples 500 joint_samples 34 [103371, 62599] +processed_samples 500 unjoint_samples 500 joint_samples 34 [121244, 42613] +processed_samples 500 unjoint_samples 500 joint_samples 32 [113680, 75621] +processed_samples 500 unjoint_samples 500 joint_samples 34 [68131, 109229] +processed_samples 500 unjoint_samples 500 joint_samples 34 [103371, 62599] +processed_samples 500 unjoint_samples 500 joint_samples 32 [126981, 69051] +processed_samples 500 unjoint_samples 500 joint_samples 32 [126981, 69051] +processed_samples 501 unjoint_samples 500 joint_samples 35 [39024, 118025] +processed_samples 501 unjoint_samples 500 joint_samples 35 [39024, 118025] 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short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x564610307b00] mmco: unref short failure +[h264 @ 0x564610307b00] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x564610c3cfc0] mmco: unref short failure +[h264 @ 0x564610c3cfc0] mmco: unref short failure +[h264 @ 0x5566d4f37c40] mmco: unref short failure +[h264 @ 0x564610c3cfc0] mmco: unref short failure +[h264 @ 0x5566d4f37c40] mmco: unref short failure +[h264 @ 0x5566d4f37c40] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x564610c3cfc0] mmco: unref short failure +[h264 @ 0x564610c3cfc0] mmco: unref short failure +[h264 @ 0x564610c3cfc0] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x564610c3cfc0] mmco: unref short failure +[h264 @ 0x564610c3cfc0] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x564610c3cfc0] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x564610c3cfc0] mmco: unref short failure +[h264 @ 0x564610c3cfc0] mmco: unref short failure +processed_samples 1000 unjoint_samples 1000 joint_samples 65 [126456, 88539] +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +processed_samples 1000 unjoint_samples 1000 joint_samples 65 [126456, 88539] +[h264 @ 0x564610e050c0] mmco: unref short failure +processed_samples 1000 unjoint_samples 1000 joint_samples 69 [127090, 39556] +processed_samples 1000 unjoint_samples 1000 joint_samples 70 [120900, 80128] +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +processed_samples 1000 unjoint_samples 1000 joint_samples 64 [126051, 123675] +processed_samples 1000 unjoint_samples 1000 joint_samples 69 [127090, 39556] +processed_samples 1000 unjoint_samples 1000 joint_samples 70 [120900, 80128] +processed_samples 1000 unjoint_samples 1000 joint_samples 64 [126051, 123675] +[h264 @ 0x5566d1274140] mmco: unref short failure +processed_samples 1000 unjoint_samples 1000 joint_samples 73 [114348, 117728] +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +processed_samples 1000 unjoint_samples 1000 joint_samples 73 [114348, 117728] +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +processed_samples 1000 unjoint_samples 1000 joint_samples 71 [126970, 86494] +[h264 @ 0x5566d1274140] mmco: unref short failure +processed_samples 1000 unjoint_samples 1000 joint_samples 71 [126970, 86494] +[h264 @ 0x564610369d40] mmco: unref short failure +processed_samples 1000 unjoint_samples 1000 joint_samples 66 [40334, 109015] +processed_samples 1000 unjoint_samples 1000 joint_samples 66 [40334, 109015] +[h264 @ 0x5566d30abac0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d30abac0] mmco: unref short failure +[h264 @ 0x5566d30abac0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +processed_samples 1001 unjoint_samples 1000 joint_samples 66 [118062, 125035] +processed_samples 1001 unjoint_samples 1000 joint_samples 66 [118062, 125035] +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x564610ee0480] mmco: unref short failure +[h264 @ 0x5566d43fed40] mmco: unref short failure +[h264 @ 0x5566d43fed40] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x564610ee0480] mmco: unref short failure +[h264 @ 0x5566d1810800] mmco: unref short failure +[h264 @ 0x5646108acb00] mmco: unref short failure +[h264 @ 0x5566d1810800] mmco: unref short failure +[h264 @ 0x5646108acb00] mmco: unref short failure +[h264 @ 0x5566d1810800] mmco: unref short failure +[h264 @ 0x5646108acb00] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref 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short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x5646101f02c0] mmco: unref short failure +[h264 @ 0x5646101f02c0] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5646101f02c0] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x5566d4a110c0] mmco: unref short failure +[h264 @ 0x5566d4a110c0] mmco: unref short failure +[h264 @ 0x564612403880] mmco: unref short failure +[h264 @ 0x564612403880] mmco: unref short failure +[h264 @ 0x5566d1b01800] mmco: unref short failure +[h264 @ 0x5566d1b01800] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d1b01800] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d1b01800] mmco: unref short failure +[h264 @ 0x5566d1b01800] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x5566d15d0180] mmco: unref short failure +[h264 @ 0x5566d15d0180] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d30abac0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564612403880] mmco: unref short failure +[h264 @ 0x5566d4a110c0] mmco: unref short failure +[h264 @ 0x5566d15d0180] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x5566d15d0180] mmco: unref short failure +[h264 @ 0x5566d15d0180] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x564610ee0480] mmco: unref short failure +[h264 @ 0x564610ee0480] mmco: unref short failure +[h264 @ 0x5566d109de00] mmco: unref short failure +[h264 @ 0x5566d109de00] mmco: unref short failure +[h264 @ 0x5566d30abac0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d15d0180] mmco: unref short failure +[h264 @ 0x5566d15d0180] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x5566d30abac0] mmco: unref short failure +[h264 @ 0x5566d30abac0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d30abac0] mmco: unref short failure +[h264 @ 0x5566d30abac0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610307b00] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d0efcf00] mmco: unref short failure +[h264 @ 0x5646102c6b40] mmco: unref short failure +[h264 @ 0x5646102c6b40] mmco: unref short failure +[h264 @ 0x5566d0efcf00] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5646102c6b40] mmco: unref short failure +[h264 @ 0x5646102c6b40] mmco: unref short failure +[h264 @ 0x5566d0efcf00] mmco: unref short failure +[h264 @ 0x5566d0efcf00] mmco: unref short failure +[h264 @ 0x5646102c6b40] mmco: unref short failure +[h264 @ 0x5566d0efcf00] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x5566d30abac0] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d30abac0] mmco: unref short failure +[h264 @ 0x5566d30abac0] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x5646102c6b40] mmco: unref short failure +[h264 @ 0x5566d30abac0] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d30abac0] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5646102c6b40] mmco: unref short failure +[h264 @ 0x5566d0fd4180] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x56461078b700] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x56461078b700] mmco: unref short failure +[h264 @ 0x56461078b700] mmco: unref short failure +[h264 @ 0x56461078b700] mmco: unref short failure +[h264 @ 0x56461078b700] mmco: unref short failure +[h264 @ 0x5566d5850b80] mmco: unref short failure +[h264 @ 0x5566d5850b80] mmco: unref short failure +[h264 @ 0x5646167e1900] mmco: unref short failure +[h264 @ 0x5646167e1900] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5566d5850b80] mmco: unref short failure +[h264 @ 0x5566d5850b80] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5646167e1900] mmco: unref short failure +[h264 @ 0x5646167e1900] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x5646102d7640] mmco: unref short failure +[h264 @ 0x5566d776a0c0] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x56461078b700] mmco: unref short failure +[h264 @ 0x56461078b700] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x56461078b700] mmco: unref short failure +[h264 @ 0x56461078b700] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x5646102c6b40] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x56461224bcc0] mmco: unref short failure +[h264 @ 0x5566d5850b80] mmco: unref short failure +[h264 @ 0x5566d5850b80] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d35f9fc0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x5566d35f9fc0] mmco: unref short failure +[h264 @ 0x5566d35f9fc0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +Token indices sequence length is longer than the specified maximum sequence length for this model (140749 > 131072). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (140749 > 131072). Running this sequence through the model will result in indexing errors +[h264 @ 0x5566d35f9fc0] mmco: unref short failure +[h264 @ 0x5566d35f9fc0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d35f9fc0] mmco: unref short failure +[h264 @ 0x5566d35f9fc0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x564610c3cfc0] mmco: unref short failure +[h264 @ 0x5566d2ecccc0] mmco: unref short failure +[h264 @ 0x564610d2bdc0] mmco: unref short failure +[h264 @ 0x564610d2bdc0] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x5566d35f9fc0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d35f9fc0] mmco: unref short failure +[h264 @ 0x5566d35f9fc0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f7f7140] mmco: unref short failure +[h264 @ 0x56460f7f7140] mmco: unref short failure +[h264 @ 0x5566d2107940] mmco: unref short failure +[h264 @ 0x5566d2107940] mmco: unref short failure +[h264 @ 0x56460f7f7140] mmco: unref short failure +[h264 @ 0x5566d2107940] mmco: unref short failure +[h264 @ 0x56460fa83900] mmco: unref short failure +[h264 @ 0x56460fa83900] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x56460fa83900] mmco: unref short failure +[h264 @ 0x56460fa83900] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x56460fa83900] mmco: unref short failure +[h264 @ 0x56460fa83900] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x56460fa83900] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x56460fa83900] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x56460fa83900] mmco: unref short failure +[h264 @ 0x56460fa83900] mmco: unref short failure +[h264 @ 0x56460fa83900] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x56460fa83900] mmco: unref short failure +[h264 @ 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short failure +[h264 @ 0x5566d231cb40] mmco: unref short failure +[h264 @ 0x56461087ad00] mmco: unref short failure +[h264 @ 0x56461087ad00] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d231cb40] mmco: unref short failure +[h264 @ 0x5566d231cb40] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d231cb40] mmco: unref short failure +[h264 @ 0x5566d231cb40] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5566d1b01800] mmco: unref short failure +[h264 @ 0x5566d1b01800] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d109de00] mmco: unref short failure +[h264 @ 0x5566d109de00] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d1b01800] mmco: unref short failure +[h264 @ 0x5566d1b01800] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d231cb40] mmco: unref short failure +[h264 @ 0x5646114db400] mmco: unref short failure +[h264 @ 0x5646114db400] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d1b01800] mmco: unref short failure +[h264 @ 0x5566d1b01800] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d3929a40] mmco: unref short failure +[h264 @ 0x5566d3929a40] mmco: unref short failure +[h264 @ 0x564610391880] mmco: unref short failure +[h264 @ 0x564610391880] mmco: unref short failure +[h264 @ 0x5566d3929a40] mmco: unref short failure +[h264 @ 0x5566d3929a40] mmco: unref short failure +[h264 @ 0x564610391880] mmco: unref short failure +[h264 @ 0x564610391880] mmco: unref short failure +[h264 @ 0x5566d3929a40] mmco: unref short failure +[h264 @ 0x564610391880] mmco: unref short failure +[h264 @ 0x564610ee0480] mmco: unref short failure +[h264 @ 0x564610ee0480] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x564610ee0480] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x564610ee0480] mmco: unref short failure +[h264 @ 0x564610ee0480] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646108acb00] mmco: unref short failure +[h264 @ 0x5566d2bb21c0] mmco: unref short failure +[h264 @ 0x5646108acb00] mmco: unref short failure +[h264 @ 0x5566d2bb21c0] mmco: unref short failure +[h264 @ 0x5646108acb00] mmco: unref short failure +[h264 @ 0x5646108acb00] mmco: unref short failure +[h264 @ 0x5566d2bb21c0] mmco: unref short failure +[h264 @ 0x5566d2bb21c0] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566c63c7d40] mmco: unref short failure +[h264 @ 0x5566c63c7d40] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x5566d309d940] mmco: unref short failure +[h264 @ 0x5566d309d940] mmco: unref short failure +[h264 @ 0x5566d309d940] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5646114db400] mmco: unref short failure +[h264 @ 0x5646114db400] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5646114db400] mmco: unref short failure +[h264 @ 0x5646114db400] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5646114fa080] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5646114db400] mmco: unref short failure +[h264 @ 0x5566d28bdc40] mmco: unref short failure +[h264 @ 0x564610d13e00] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5646114db400] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x564610ee5880] mmco: unref short failure +[h264 @ 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short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x564614fd7ec0] mmco: unref short failure +[h264 @ 0x564614fd7ec0] mmco: unref short failure +[h264 @ 0x564614fd7ec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 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short failure +[h264 @ 0x564614fd7ec0] mmco: unref short failure +[h264 @ 0x564614fd7ec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x564614fd7ec0] mmco: unref short failure +[h264 @ 0x564614fd7ec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x564614fd7ec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x564614fd7ec0] mmco: unref short failure +[h264 @ 0x564614fd7ec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x564614fd7ec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x564614fd7ec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 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short failure +[h264 @ 0x564613ba6440] mmco: unref short failure +[h264 @ 0x5566d2f9eb00] mmco: unref short failure +[h264 @ 0x5566d2f9eb00] mmco: unref short failure +[h264 @ 0x564613ba6440] mmco: unref short failure +[h264 @ 0x564613ba6440] mmco: unref short failure +[h264 @ 0x5566d2f9eb00] mmco: unref short failure +[h264 @ 0x564613ba6440] mmco: unref short failure +[h264 @ 0x5566d2f9eb00] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d2f9eb00] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56460fc2cd40] mmco: unref short failure +[h264 @ 0x5566d333a600] mmco: unref short failure +[h264 @ 0x5566d2f9eb00] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x564610ee5880] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x56460fc2cd40] mmco: unref short failure +[h264 @ 0x56460fc2cd40] mmco: unref short failure +[h264 @ 0x5566d333a600] mmco: unref short failure +[h264 @ 0x5566d333a600] mmco: unref short failure +[h264 @ 0x564610ee5880] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x56460fc2cd40] mmco: unref short failure +[h264 @ 0x56460fc2cd40] mmco: unref short failure +[h264 @ 0x5566d333a600] mmco: unref short failure +[h264 @ 0x5566d333a600] mmco: unref short failure +[h264 @ 0x5646155dd780] mmco: unref short failure +[h264 @ 0x5566d2107940] mmco: unref short failure +[h264 @ 0x5646155dd780] mmco: unref short failure +[h264 @ 0x5646155dd780] mmco: unref short failure +[h264 @ 0x5566d2107940] mmco: unref short failure +[h264 @ 0x5566d2107940] mmco: unref short failure +[h264 @ 0x5566d5112c00] mmco: unref short failure +[h264 @ 0x5566d5112c00] mmco: unref short failure +[h264 @ 0x5566d289bb00] mmco: unref short failure +[h264 @ 0x5566d289bb00] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x564610b4ab00] mmco: unref short failure +[h264 @ 0x564610b4ab00] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d289bb00] mmco: unref short failure +[h264 @ 0x5566d289bb00] mmco: unref short failure +[h264 @ 0x564610caca80] mmco: unref short failure +[h264 @ 0x564610caca80] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x564610d13e00] mmco: unref short failure +[h264 @ 0x5566d109de00] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d109de00] mmco: unref short failure +[h264 @ 0x5566d109de00] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d109de00] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x564611b6d4c0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x56460fa83900] mmco: unref short failure +[h264 @ 0x56460fa83900] mmco: unref short failure +[h264 @ 0x56460fa83900] mmco: unref short failure +[h264 @ 0x56460fa83900] mmco: unref short failure +[h264 @ 0x56460fa83900] mmco: unref short failure +[h264 @ 0x56460fa83900] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x564611b6d4c0] mmco: unref short failure +[h264 @ 0x5566d58dd300] mmco: unref short failure +[h264 @ 0x5566d58dd300] mmco: unref short failure +[h264 @ 0x56460fd69100] mmco: unref short failure +[h264 @ 0x56460fd69100] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x564611b6d4c0] mmco: unref short failure +[h264 @ 0x564611b6d4c0] mmco: unref short failure +[h264 @ 0x5566d58dd300] mmco: unref short failure +[h264 @ 0x5566d58dd300] mmco: unref short failure +[h264 @ 0x56460fd69100] mmco: unref short failure +[h264 @ 0x56460fd69100] mmco: unref short failure +[h264 @ 0x5566d4f37c40] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x564610ee5880] mmco: unref short failure +[h264 @ 0x564610ee5880] mmco: unref short failure +[h264 @ 0x5566d2f9eb00] mmco: unref short failure +[h264 @ 0x5566d2f9eb00] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610ee5880] mmco: unref short failure +[h264 @ 0x5566d2f9eb00] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x5566d28bdc40] mmco: unref short failure +[h264 @ 0x56461674e900] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x56460fa83900] mmco: unref short failure +[h264 @ 0x56460fa83900] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d5b1bf80] mmco: unref short failure +[h264 @ 0x5566d5b1bf80] mmco: unref short failure +[h264 @ 0x564611d54580] mmco: unref short failure +[h264 @ 0x564611d54580] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x56460faa0140] mmco: unref short failure +[h264 @ 0x56460faa0140] mmco: unref short failure +[h264 @ 0x56460faa0140] mmco: unref short failure +[h264 @ 0x56460faa0140] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x56460faa0140] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x564613445e00] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +Token indices sequence length is longer than the specified maximum sequence length for this model (172733 > 131072). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (172733 > 131072). Running this sequence through the model will result in indexing errors +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d15d0180] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x5646102d7640] mmco: unref short failure +[h264 @ 0x5646102d7640] mmco: unref short failure +[h264 @ 0x5566d19dc2c0] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d19dc2c0] mmco: unref short failure +[h264 @ 0x5566d19dc2c0] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d19dc2c0] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d19dc2c0] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d2beec40] mmco: unref short failure +[h264 @ 0x56461087ad00] mmco: unref short failure +[h264 @ 0x5566d333a600] mmco: unref short failure +[h264 @ 0x564610668200] mmco: unref short failure +[h264 @ 0x5566d333a600] mmco: unref short failure +[h264 @ 0x5566d333a600] mmco: unref short failure +[h264 @ 0x564610668200] mmco: unref short failure +[h264 @ 0x564610668200] mmco: unref short failure +[h264 @ 0x564610668200] mmco: unref short failure +[h264 @ 0x564610668200] mmco: unref short failure +[h264 @ 0x5566d333a600] mmco: unref short failure +[h264 @ 0x5566d333a600] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d109de00] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x564610c3cfc0] mmco: unref short failure +[h264 @ 0x5566d2ecccc0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610c3cfc0] mmco: unref short failure +[h264 @ 0x5566d2ecccc0] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d2e663c0] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x5566d2e663c0] mmco: unref short failure +[h264 @ 0x5566d2e663c0] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x5566d2e663c0] mmco: unref short failure +[h264 @ 0x5566d2e663c0] mmco: unref short failure +[h264 @ 0x564615076840] mmco: unref short failure +[h264 @ 0x5566d9dcea00] mmco: unref short failure +[h264 @ 0x5566d9dcea00] mmco: unref short failure +[h264 @ 0x5566d9dcea00] mmco: unref short failure +[h264 @ 0x564615076840] mmco: unref short failure +[h264 @ 0x564615076840] mmco: unref short failure +[h264 @ 0x564610d13e00] mmco: unref short failure +[h264 @ 0x5566d12d2940] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5646117c20c0] mmco: unref short failure +[h264 @ 0x5646117c20c0] mmco: unref short failure +[h264 @ 0x5566d2ecccc0] mmco: unref short failure +[h264 @ 0x56461674e900] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d3d284c0] mmco: unref short failure +[h264 @ 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0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +processed_samples 1500 unjoint_samples 1500 joint_samples 110 [115901, 113493] +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +processed_samples 1500 unjoint_samples 1500 joint_samples 104 [129327, 125909] +processed_samples 1500 unjoint_samples 1500 joint_samples 110 [115901, 113493] +processed_samples 1500 unjoint_samples 1500 joint_samples 101 [123594, 34496] +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +processed_samples 1500 unjoint_samples 1500 joint_samples 104 [129327, 125909] +processed_samples 1500 unjoint_samples 1500 joint_samples 101 [123594, 34496] +processed_samples 1500 unjoint_samples 1500 joint_samples 100 [39799, 101567] +processed_samples 1500 unjoint_samples 1500 joint_samples 100 [39799, 101567] +processed_samples 1500 unjoint_samples 1500 joint_samples 109 [109903, 75658] +processed_samples 1500 unjoint_samples 1500 joint_samples 109 [109903, 75658] +processed_samples 1501 unjoint_samples 1500 joint_samples 94 [127623, 129281]processed_samples 1501 unjoint_samples 1500 joint_samples 94 [127623, 129281] + +processed_samples 1501 unjoint_samples 1500 joint_samples 99 [126544, 129073] +processed_samples 1501 unjoint_samples 1500 joint_samples 99 [126544, 129073] +processed_samples 1501 unjoint_samples 1500 joint_samples 103 [116556, 30943] +processed_samples 1501 unjoint_samples 1500 joint_samples 103 [116556, 30943] +[h264 @ 0x5566d231cb40] mmco: unref short failure +[h264 @ 0x5566d231cb40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x5566d231cb40] mmco: unref short failure +[h264 @ 0x5566d231cb40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x5566d231cb40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x5566d231cb40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref 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0x5646116a3740] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5566d1636580] mmco: unref short failure +[h264 @ 0x5566d1636580] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5566d1636580] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5566d1b01800] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d58dd300] mmco: unref short failure +[h264 @ 0x5566d58dd300] mmco: unref short failure +[h264 @ 0x5646102d7640] mmco: unref short failure +[h264 @ 0x5646102d7640] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d1b01800] mmco: unref short failure +[h264 @ 0x5566d1b01800] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5646100db280] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d1636580] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5646100db280] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d2beec40] mmco: unref short failure +[h264 @ 0x5566d2beec40] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d2beec40] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d2beec40] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d2beec40] mmco: unref short failure +[h264 @ 0x5566d2beec40] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d2beec40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5646122b6900] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x5566d1636580] mmco: unref short failure +[h264 @ 0x5566d1636580] mmco: unref short failure +[h264 @ 0x5566d1636580] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5566d6ec1340] mmco: unref short failure +[h264 @ 0x5566d6ec1340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d2e663c0] mmco: unref short failure +[h264 @ 0x5566d2e663c0] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d1a22b40] mmco: unref short failure +[h264 @ 0x5566d1a22b40] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d1a22b40] mmco: unref short failure +[h264 @ 0x5566d1a22b40] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d1a22b40] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d1a22b40] mmco: unref short failure +[h264 @ 0x5566d1a22b40] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d1a22b40] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d218cd80] mmco: unref short failure +[h264 @ 0x5566d218cd80] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x56460f965740] mmco: unref short failure +[h264 @ 0x5566d2beec40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x5566d218cd80] mmco: unref short failure +[h264 @ 0x5566d218cd80] mmco: unref short failure +[h264 @ 0x5566d1271100] mmco: unref short failure +[h264 @ 0x5566d1271100] mmco: unref short failure +[h264 @ 0x5566d1271100] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d2ecccc0] mmco: unref short failure +[h264 @ 0x56461224bcc0] mmco: unref short failure +[h264 @ 0x5566d2ecccc0] mmco: unref short failure +[h264 @ 0x56461224bcc0] mmco: unref short failure +[h264 @ 0x56461224bcc0] mmco: unref short failure +[h264 @ 0x56461224bcc0] mmco: unref short failure +[h264 @ 0x5566d2ecccc0] mmco: unref short failure +[h264 @ 0x5566d2ecccc0] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d15d0180] mmco: unref short failure +[h264 @ 0x5566d15d0180] mmco: unref short failure +[h264 @ 0x5566d15d0180] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d15d0180] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x56460f965740] mmco: unref short failure +[h264 @ 0x56460f965740] mmco: unref short failure +[h264 @ 0x5566d2beec40] mmco: unref short failure +[h264 @ 0x5566d2beec40] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d231cb40] mmco: unref short failure +[h264 @ 0x5566d231cb40] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x5566d231cb40] mmco: unref short failure +[h264 @ 0x5566d231cb40] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x5646124a6e00] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x5646124a6e00] mmco: unref short failure +[h264 @ 0x5646124a6e00] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x5646124a6e00] mmco: unref short failure +[h264 @ 0x5646124a6e00] mmco: unref short failure +[h264 @ 0x5566d120ca40] mmco: unref short failure +[h264 @ 0x5646155dd780] mmco: unref short failure +[h264 @ 0x5566d120ca40] mmco: unref short failure +[h264 @ 0x5646155dd780] mmco: unref short failure +[h264 @ 0x5646155dd780] mmco: unref short failure +[h264 @ 0x5646155dd780] mmco: unref short failure +[h264 @ 0x5566d120ca40] mmco: unref short failure +[h264 @ 0x5566d120ca40] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x5566d5851040] mmco: unref short failure +[h264 @ 0x5566d5851040] mmco: unref short failure +[h264 @ 0x56460fd4cc00] mmco: unref short failure +[h264 @ 0x56460fd4cc00] mmco: unref short failure +[h264 @ 0x5566d1636580] mmco: unref short failure +[h264 @ 0x564612403880] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x5566d5851040] mmco: unref short failure +[h264 @ 0x5566d5851040] mmco: unref short failure +[h264 @ 0x5566d5851040] mmco: unref short failure +[h264 @ 0x5566d5851040] mmco: unref short failure +[h264 @ 0x5566d5851040] mmco: unref short failure +[h264 @ 0x5566d5851040] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d5851040] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5566d5851040] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5566d26c97c0] Missing reference picture, default is 65530 +[h264 @ 0x5566d26c97c0] Missing reference picture, default is 65530 +[h264 @ 0x5566d26c97c0] mmco: unref short failure +[h264 @ 0x5566d26c97c0] mmco: unref short failure +[h264 @ 0x564618543b40] Missing reference picture, default is 65530 +[h264 @ 0x564618543b40] Missing reference picture, default is 65530 +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x5566d5851040] mmco: unref short failure +[h264 @ 0x5566d5851040] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d5851040] mmco: unref short failure +[h264 @ 0x5566d5851040] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d5851040] mmco: unref short failure +[h264 @ 0x5566d5851040] mmco: unref short failure +[h264 @ 0x5566d5851040] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x56461662f1c0] mmco: unref short failure +[h264 @ 0x56461662f1c0] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x56461662f1c0] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5566d26c97c0] mmco: unref short failure +[h264 @ 0x5566d26c97c0] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x5566d26c97c0] mmco: unref short failure +[h264 @ 0x5566d26c97c0] mmco: unref short failure +[h264 @ 0x5566d26c97c0] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5566d26c97c0] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5566d2beec40] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5566d2beec40] mmco: unref short failure +[h264 @ 0x5566d2beec40] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5566d2beec40] mmco: unref short failure +[h264 @ 0x5566d2beec40] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5566d2beec40] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5566d2beec40] mmco: unref short failure +[h264 @ 0x5566d776a0c0] mmco: unref short failure +[h264 @ 0x56460fd69100] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5566d5b1bf80] mmco: unref short failure +[h264 @ 0x564610ee0480] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x5566d0fd4180] mmco: unref short failure +[h264 @ 0x5566d0fd4180] mmco: unref short failure +[h264 @ 0x56460f7f7140] mmco: unref short failure +[h264 @ 0x56460f7f7140] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5566d5850b80] mmco: unref short failure +[h264 @ 0x5566d5850b80] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5566d5850b80] mmco: unref short failure +[h264 @ 0x5566d5850b80] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d2107940] mmco: unref short failure +[h264 @ 0x5566d2107940] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d2107940] mmco: unref short failure +[h264 @ 0x56461172bf00] mmco: unref short failure +[h264 @ 0x56461662f1c0] mmco: unref short failure +[h264 @ 0x56461662f1c0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x56461172bf00] mmco: unref short failure +[h264 @ 0x56461172bf00] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x56461172bf00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x56461172bf00] mmco: unref short failure +[h264 @ 0x56461172bf00] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x56461172bf00] mmco: unref short failure +[h264 @ 0x56461172bf00] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x56461172bf00] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x56460fa9d240] mmco: unref short failure +[h264 @ 0x5566d5850b80] mmco: unref short failure +[h264 @ 0x56460fa9d240] mmco: unref short failure +[h264 @ 0x5566d5850b80] mmco: unref short failure +[h264 @ 0x5566d5850b80] mmco: unref short failure +[h264 @ 0x5566d5850b80] mmco: unref short failure +[h264 @ 0x56460fa9d240] mmco: unref short failure +[h264 @ 0x56460fa9d240] mmco: unref short failure +[h264 @ 0x5566d5850b80] mmco: unref short failure +[h264 @ 0x5566d5850b80] mmco: unref short failure +[h264 @ 0x56460fa9d240] mmco: unref short failure +[h264 @ 0x56460fa9d240] mmco: unref short failure +[h264 @ 0x5566d5850b80] mmco: unref short failure +[h264 @ 0x5566d5850b80] mmco: unref short failure +[h264 @ 0x56460fa9d240] mmco: unref short failure +[h264 @ 0x56460fa9d240] mmco: unref short failure +Token indices sequence length is longer than the specified maximum sequence length for this model (139623 > 131072). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (139623 > 131072). Running this sequence through the model will result in indexing errors +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x56460faa0140] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d5b1bf80] mmco: unref short failure +[h264 @ 0x5566d5b1bf80] mmco: unref short failure +[h264 @ 0x5646108acb00] mmco: unref short failure +[h264 @ 0x5646108acb00] mmco: unref short failure +[h264 @ 0x5566d5b1bf80] mmco: unref short failure +[h264 @ 0x5566d5b1bf80] mmco: unref short failure +[h264 @ 0x5646108acb00] mmco: unref short failure +[h264 @ 0x5646108acb00] mmco: unref short failure +[h264 @ 0x5566d5b1bf80] mmco: unref short failure +[h264 @ 0x5646108acb00] mmco: unref short failure +[h264 @ 0x5566d5b1bf80] mmco: unref short failure +[h264 @ 0x5566d5b1bf80] mmco: unref short failure +[h264 @ 0x5646108acb00] mmco: unref short failure +[h264 @ 0x5646108acb00] mmco: unref short failure +[h264 @ 0x5566d1271100] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d0efcf00] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d2e663c0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x56461224bcc0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x56461087ad00] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x56461087ad00] mmco: unref short failure +[h264 @ 0x56461087ad00] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x56460f9e9440] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x56460f9e9440] mmco: unref short failure +[h264 @ 0x56460f9e9440] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d218cd80] mmco: unref short failure +[h264 @ 0x5566d218cd80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x56460faa0140] mmco: unref short failure +[h264 @ 0x5566d6ec1340] mmco: unref short failure +[h264 @ 0x56460faa0140] mmco: unref short failure +[h264 @ 0x56460faa0140] mmco: unref short failure +[h264 @ 0x5566d6ec1340] mmco: unref short failure +[h264 @ 0x5566d6ec1340] mmco: unref short failure +[h264 @ 0x56460faa0140] mmco: unref short failure +[h264 @ 0x56460faa0140] mmco: unref short failure +[h264 @ 0x5566d6ec1340] mmco: unref short failure +[h264 @ 0x5566d6ec1340] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x56460faa0140] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d6ec1340] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x5566d3659fc0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5646108acb00] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x56460faa0140] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x56460fa9d240] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x56460fa9d240] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x56460fa9d240] mmco: unref short failure +[h264 @ 0x56460faa0140] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x56460faa0140] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x56460faa0140] mmco: unref short failure +[h264 @ 0x56460faa0140] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x56460faa0140] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x56460faa0140] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x56460fac0a40] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x5646101f02c0] mmco: unref short failure +[h264 @ 0x5646101f02c0] mmco: unref short failure +[h264 @ 0x5646101f02c0] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x5566d231cb40] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5566d231cb40] mmco: unref short failure +[h264 @ 0x5566d231cb40] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5646101f02c0] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5646101f02c0] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5646101f02c0] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5646101f02c0] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x56460fac0a40] mmco: unref short failure +[h264 @ 0x56460fac0a40] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x5646102c6b40] mmco: unref short failure +[h264 @ 0x5566d256c0c0] mmco: unref short failure +[h264 @ 0x5646102c6b40] mmco: unref short failure +[h264 @ 0x5646102c6b40] mmco: unref short failure +[h264 @ 0x5566d256c0c0] mmco: unref short failure +[h264 @ 0x5566d256c0c0] mmco: unref short failure +[h264 @ 0x5646102c6b40] mmco: unref short failure +[h264 @ 0x5646102c6b40] mmco: unref short failure +[h264 @ 0x5566d256c0c0] mmco: unref short failure +[h264 @ 0x5566d256c0c0] mmco: unref short failure +[h264 @ 0x5646102c6b40] mmco: unref short failure +[h264 @ 0x5566d256c0c0] mmco: unref short failure +[h264 @ 0x5646102c6b40] mmco: unref short failure +[h264 @ 0x5566d256c0c0] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x5566d309d940] mmco: unref short failure +[h264 @ 0x5566d309d940] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d309d940] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d309d940] mmco: unref short failure +[h264 @ 0x5566d309d940] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d7f86980] mmco: unref short failure +[h264 @ 0x5566d7f86980] mmco: unref short failure +[h264 @ 0x56460fdc8780] mmco: unref short failure +[h264 @ 0x56460fdc8780] mmco: unref short failure +[h264 @ 0x5566d7f86980] mmco: unref short failure +[h264 @ 0x5566d7f86980] mmco: unref short failure +[h264 @ 0x5566d7f86980] mmco: unref short failure +[h264 @ 0x56460fdc8780] mmco: unref short failure +[h264 @ 0x56460fdc8780] mmco: unref short failure +[h264 @ 0x56460fdc8780] mmco: unref short failure +[h264 @ 0x5566d7f86980] mmco: unref short failure +[h264 @ 0x56460fdc8780] mmco: unref short failure +[h264 @ 0x5566d7f86980] mmco: unref short failure +[h264 @ 0x56460fdc8780] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x56461078b700] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x56461078b700] mmco: unref short failure +[h264 @ 0x56461078b700] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d4f37c40] mmco: unref short failure +[h264 @ 0x5566d4f37c40] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d4f37c40] Missing reference picture, default is 65538 +[h264 @ 0x5566d4f37c40] mmco: unref short failure +[h264 @ 0x5566d4f37c40] mmco: unref short failure +[h264 @ 0x5566d4f37c40] Missing reference picture, default is 65538 +[h264 @ 0x5566d4f37c40] mmco: unref short failure +[h264 @ 0x5566d4f37c40] mmco: unref short failure +[h264 @ 0x5646185f9f00] Missing reference picture, default is 65538 +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] Missing reference picture, default is 65538 +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x56461224bcc0] mmco: unref short failure +[h264 @ 0x56461224bcc0] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x5566d289bb00] mmco: unref short failure +[h264 @ 0x5566d289bb00] mmco: unref short failure +[h264 @ 0x5646122b6900] mmco: unref short failure +[h264 @ 0x5646122b6900] mmco: unref short failure +[h264 @ 0x5566d289bb00] mmco: unref short failure +[h264 @ 0x5566d289bb00] mmco: unref short failure +[h264 @ 0x5646122b6900] mmco: unref short failure +[h264 @ 0x5646122b6900] mmco: unref short failure +[h264 @ 0x5566d289bb00] mmco: unref short failure +[h264 @ 0x5646122b6900] mmco: unref short failure +[h264 @ 0x5566d289bb00] mmco: unref short failure +[h264 @ 0x5566d289bb00] mmco: unref short failure +[h264 @ 0x5646122b6900] mmco: unref short failure +[h264 @ 0x5646122b6900] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5646122b6900] mmco: unref short failure +[h264 @ 0x5646122b6900] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d2ecccc0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x5566d1a22b40] mmco: unref short failure +[h264 @ 0x5566d1a22b40] mmco: unref short failure +[h264 @ 0x564615725700] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564611b6d4c0] mmco: unref short failure +[h264 @ 0x564611b6d4c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d1a22b40] mmco: unref short failure +[h264 @ 0x564611b6d4c0] mmco: unref short failure +[h264 @ 0x5566d5b1bf80] mmco: unref short failure +[h264 @ 0x5566d5b1bf80] mmco: unref short failure +[h264 @ 0x56460fc2cd40] mmco: unref short failure +[h264 @ 0x56460fc2cd40] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564611b6d4c0] mmco: unref short failure +[h264 @ 0x564611b6d4c0] mmco: unref short failure +[h264 @ 0x5566d1271100] mmco: unref short failure +[h264 @ 0x5566d1271100] mmco: unref short failure +[h264 @ 0x5566d1271100] mmco: unref short failure +[h264 @ 0x564611b6d4c0] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x56460fac0a40] mmco: unref short failure +[h264 @ 0x5566d109de00] mmco: unref short failure +[h264 @ 0x5566d109de00] mmco: unref short failure +[h264 @ 0x564611b6d4c0] mmco: unref short failure +[h264 @ 0x564611b6d4c0] mmco: unref short failure +[h264 @ 0x5566d289bb00] mmco: unref short failure +[h264 @ 0x5566d289bb00] mmco: unref short failure +[h264 @ 0x5646122b6900] mmco: unref short failure +[h264 @ 0x5646122b6900] mmco: unref short failure +[h264 @ 0x5566d289bb00] mmco: unref short failure +[h264 @ 0x5566d289bb00] mmco: unref short failure +[h264 @ 0x5646122b6900] mmco: unref short failure +[h264 @ 0x5646122b6900] mmco: unref short failure +[h264 @ 0x5566d289bb00] mmco: unref short failure +[h264 @ 0x5646122b6900] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5646117c20c0] mmco: unref short failure +[h264 @ 0x5646117c20c0] mmco: unref short failure +[h264 @ 0x5646108acb00] mmco: unref short failure +[h264 @ 0x5646108acb00] mmco: unref short failure +[h264 @ 0x5566d1a22b40] mmco: unref short failure +[h264 @ 0x5566d1a22b40] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x564611904c00] mmco: unref short failure +[h264 @ 0x564611904c00] mmco: unref short failure +[h264 @ 0x56461078b700] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x564611904c00] mmco: unref short failure +[h264 @ 0x564611904c00] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x564611904c00] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x564611904c00] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x5566d4664dc0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x56460fd565c0] mmco: unref short failure +[h264 @ 0x5646155dd780] mmco: unref short failure +[h264 @ 0x5646155dd780] mmco: unref short failure +[h264 @ 0x5566d12d2940] mmco: unref short failure +[h264 @ 0x5566d12d2940] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d109de00] mmco: unref short failure +[h264 @ 0x56460fd565c0] mmco: unref short failure +[h264 @ 0x56460fd565c0] mmco: unref short failure +[h264 @ 0x5566d109de00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646155dd780] mmco: unref short failure +[h264 @ 0x5646155dd780] mmco: unref short failure +[h264 @ 0x5566d12d2940] mmco: unref short failure +[h264 @ 0x5566d12d2940] mmco: unref short failure +[h264 @ 0x5646155dd780] mmco: unref short failure +[h264 @ 0x5646155dd780] mmco: unref short failure +[h264 @ 0x5566d12d2940] mmco: unref short failure +[h264 @ 0x5566d12d2940] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x56460fd565c0] mmco: unref short failure +[h264 @ 0x5566d58dd300] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x564617428200] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x5566d58dd300] mmco: unref short failure +[h264 @ 0x5566d58dd300] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x5566d58dd300] mmco: unref short failure +[h264 @ 0x5566d58dd300] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x5566d58dd300] mmco: unref short failure +[h264 @ 0x5566d58dd300] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x5566d58dd300] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x5566d58dd300] mmco: unref short failure +[h264 @ 0x5566d58dd300] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x5566d58dd300] mmco: unref short failure +[h264 @ 0x5566d58dd300] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x5566d58dd300] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x56460fd565c0] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x564610ee5880] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d15d0180] mmco: unref short failure +[h264 @ 0x5566d15d0180] mmco: unref short failure +[h264 @ 0x564611b6d4c0] mmco: unref short failure +[h264 @ 0x564611b6d4c0] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x564610c3cfc0] mmco: unref short failure +[h264 @ 0x5566d2d45040] mmco: unref short failure +[h264 @ 0x5566d2d45040] mmco: unref short failure +[h264 @ 0x56460fd69100] mmco: unref short failure +[h264 @ 0x56460fd69100] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x56461138c000] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x56461087ad00] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x56460fdc8780] mmco: unref short failure +[h264 @ 0x56460fdc8780] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x56460fdc8780] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x5566d1b04340] mmco: unref short failure +[h264 @ 0x56460fdc8780] mmco: unref short failure +[h264 @ 0x56460fdc8780] mmco: unref short failure +[h264 @ 0x56460fdc8780] mmco: unref short failure +[h264 @ 0x56460fdc8780] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d2256b40] mmco: unref short failure +[h264 @ 0x5566d2256b40] mmco: unref short failure +[h264 @ 0x5646108acb00] mmco: unref short failure +[h264 @ 0x5646108acb00] mmco: unref short failure +[h264 @ 0x5566d2256b40] mmco: unref short failure +[h264 @ 0x5646108acb00] mmco: unref short failure +[h264 @ 0x5566d2256b40] mmco: unref short failure +[h264 @ 0x5566d2256b40] mmco: unref short failure +[h264 @ 0x5646108acb00] mmco: unref short failure +[h264 @ 0x5646108acb00] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x56460fd565c0] mmco: unref short failure +[h264 @ 0x56460fd565c0] mmco: unref short failure +[h264 @ 0x56460fd565c0] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x56460fd565c0] mmco: unref short failure +[h264 @ 0x56460fd565c0] mmco: unref short failure +[h264 @ 0x56460fd565c0] mmco: unref short failure +[h264 @ 0x56460fd565c0] mmco: unref short failure +[h264 @ 0x56460fd565c0] mmco: unref short failure +[h264 @ 0x56460fd565c0] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x56460fd565c0] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x5566d18a0400] mmco: unref short failure +[h264 @ 0x56460fd565c0] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x56460fd565c0] mmco: unref short failure +[h264 @ 0x56460fd565c0] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d2e663c0] mmco: unref short failure +[h264 @ 0x5566d2e663c0] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x564617428200] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x564617428200] mmco: unref short failure +[h264 @ 0x564617428200] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x564617428200] mmco: unref short failure +[h264 @ 0x564617428200] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x564617428200] mmco: unref short failure +[h264 @ 0x564617428200] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x564617428200] mmco: unref short failure +[h264 @ 0x564617428200] mmco: unref short failure +[h264 @ 0x5566d19dc2c0] mmco: unref short failure +[h264 @ 0x56460fd4cc00] mmco: unref short failure +[h264 @ 0x5566d19dc2c0] mmco: unref short failure +[h264 @ 0x5566d19dc2c0] mmco: unref short failure +[h264 @ 0x56460fd4cc00] mmco: unref short failure +[h264 @ 0x56460fd4cc00] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d19dc2c0] mmco: unref short failure +[h264 @ 0x56460fd4cc00] mmco: unref short failure +[h264 @ 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short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x564611904c00] mmco: unref short failure +[h264 @ 0x564611904c00] mmco: unref short failure +[h264 @ 0x5566d28bdc40] mmco: unref short failure +[h264 @ 0x5566d28bdc40] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x56460fd4cc00] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x56460f9e9440] mmco: unref short failure +[h264 @ 0x56460f9e9440] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x56460f9e9440] mmco: unref short failure +[h264 @ 0x56460f9e9440] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x56460f9e9440] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x56460f9e9440] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x56460f9e9440] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x56460f9e9440] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 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short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x564611b6d4c0] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x564611b6d4c0] mmco: unref short failure +[h264 @ 0x564611b6d4c0] mmco: unref short failure +[h264 @ 0x564611b6d4c0] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x564611b6d4c0] mmco: unref short failure +[h264 @ 0x564611b6d4c0] mmco: unref short failure +[h264 @ 0x5566d218cd80] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x5566d218cd80] mmco: unref short failure +[h264 @ 0x5566d218cd80] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x5566d218cd80] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x56461224bcc0] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x56461224bcc0] mmco: unref short failure +[h264 @ 0x56461224bcc0] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x5566d218cd80] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x5566d3da0d80] mmco: unref short failure +[h264 @ 0x5566d3da0d80] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d0ff74c0] mmco: unref short failure +[h264 @ 0x5566d0ff74c0] mmco: unref short failure +[h264 @ 0x5566d0ff74c0] mmco: unref short failure +[h264 @ 0x5566d0ff74c0] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x5566d19dc2c0] mmco: unref short failure +[h264 @ 0x5566d19dc2c0] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5646115be540] mmco: unref short failure +[h264 @ 0x5566d0ff74c0] mmco: unref short failure +[h264 @ 0x5566d0ff74c0] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x5566d0ff74c0] mmco: unref short failure +[h264 @ 0x5566d0ff74c0] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x5566d0ff74c0] mmco: unref short failure +[h264 @ 0x5566d0ff74c0] mmco: unref short failure +[h264 @ 0x5566d0ff74c0] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x5566d0ff74c0] mmco: unref short failure +[h264 @ 0x5566d0ff74c0] mmco: unref short failure +[h264 @ 0x5566d0ff74c0] mmco: unref short failure +[h264 @ 0x5566d0ff74c0] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x5566d289bb00] mmco: unref short failure +[h264 @ 0x5566d289bb00] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x5566d218cd80] mmco: unref short failure +[h264 @ 0x564610caca80] mmco: unref short failure +processed_samples 2000 unjoint_samples 2000 joint_samples 132 [128284, 89367] +processed_samples 2000 unjoint_samples 2000 joint_samples 132 [128284, 89367] +processed_samples 2000 unjoint_samples 2000 joint_samples 142 [127646, 24129] +processed_samples 2000 unjoint_samples 2000 joint_samples 142 [127646, 24129] +processed_samples 2000 unjoint_samples 2000 joint_samples 140 [109663, 123754] +processed_samples 2000 unjoint_samples 2000 joint_samples 140 [109663, 123754] +processed_samples 2000 unjoint_samples 2000 joint_samples 137 [121279, 72938] +processed_samples 2000 unjoint_samples 2000 joint_samples 137 [121279, 72938] +processed_samples 2001 unjoint_samples 2000 joint_samples 139 [104075, 128920] +processed_samples 2001 unjoint_samples 2000 joint_samples 139 [104075, 128920] +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x5566d289bb00] mmco: unref short failure +processed_samples 2001 unjoint_samples 2000 joint_samples 130 [129094, 57545] +processed_samples 2001 unjoint_samples 2000 joint_samples 130 [129094, 57545] +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +processed_samples 2001 unjoint_samples 2000 joint_samples 128 [111098, 128612] +processed_samples 2001 unjoint_samples 2000 joint_samples 128 [111098, 128612] +processed_samples 2001 unjoint_samples 2000 joint_samples 140 [109006, 79773] +processed_samples 2001 unjoint_samples 2000 joint_samples 140 [109006, 79773] +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d2107940] mmco: unref short failure +[h264 @ 0x5566d2107940] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d2107940] mmco: unref short failure +[h264 @ 0x5566d2107940] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d2107940] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56461224bcc0] mmco: unref short failure +[h264 @ 0x56461224bcc0] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5566d43fed40] mmco: unref short failure +[h264 @ 0x5566d43fed40] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d43fed40] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d43fed40] mmco: unref short failure +[h264 @ 0x5566d43fed40] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure 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short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d3929a40] mmco: unref short failure +[h264 @ 0x5566d3929a40] mmco: unref short failure +[h264 @ 0x5646114fa080] mmco: unref short failure +[h264 @ 0x5646114fa080] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 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short failure +[h264 @ 0x5646100db280] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x5646100db280] mmco: unref short failure +[h264 @ 0x5566d5851040] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 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short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x56461138c000] mmco: unref short failure +[h264 @ 0x56461138c000] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x56461138c000] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x56461138c000] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x56461138c000] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 0x5566d0f766c0] mmco: unref short failure +[h264 @ 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0x564610283c40] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x5566d19dc2c0] mmco: unref short failure +[h264 @ 0x5566d19dc2c0] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d19dc2c0] mmco: unref short failure +[h264 @ 0x5566d19dc2c0] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d19dc2c0] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d218cd80] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x5566d19dc2c0] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d19dc2c0] mmco: unref short failure +[h264 @ 0x5566d19dc2c0] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d19dc2c0] mmco: unref short failure +[h264 @ 0x5566d19dc2c0] mmco: unref short failure +[h264 @ 0x5566d19dc2c0] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x564613445e00] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5646100db280] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5646100db280] mmco: unref short failure +[h264 @ 0x5646100db280] mmco: unref short failure +[h264 @ 0x5566d15d0180] mmco: unref short failure +[h264 @ 0x5646102c6b40] mmco: unref short failure +[h264 @ 0x5566d15d0180] mmco: unref short failure +[h264 @ 0x5566d15d0180] mmco: unref short failure +[h264 @ 0x5646102c6b40] mmco: unref short failure +[h264 @ 0x5646102c6b40] mmco: unref short failure +[h264 @ 0x5566d2107940] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 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short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5646100db280] mmco: unref short failure +[h264 @ 0x5646100db280] mmco: unref short failure +[h264 @ 0x5566d15d0180] mmco: unref short failure +[h264 @ 0x5566d15d0180] mmco: unref short failure +[h264 @ 0x5646102c6b40] mmco: unref short failure +[h264 @ 0x5646102c6b40] mmco: unref short failure +[h264 @ 0x5566d15d0180] mmco: unref short failure +[h264 @ 0x5566d15d0180] mmco: unref short failure +[h264 @ 0x5646102c6b40] mmco: unref short failure +[h264 @ 0x5646102c6b40] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x564610d9fa40] mmco: unref short failure +[h264 @ 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0x5566d776a0c0] mmco: unref short failure +[h264 @ 0x5566d776a0c0] mmco: unref short failure +[h264 @ 0x5646107db3c0] mmco: unref short failure +[h264 @ 0x5646107db3c0] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d0fd4180] mmco: unref short failure +[h264 @ 0x5566d0fd4180] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d0fd4180] mmco: unref short failure +[h264 @ 0x5566d3da0d80] mmco: unref short failure +[h264 @ 0x5566d3da0d80] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x5646122b6900] mmco: unref short failure +[h264 @ 0x5566d15d0180] mmco: unref short failure +[h264 @ 0x5566d15d0180] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d218cd80] mmco: unref short failure +[h264 @ 0x5566d218cd80] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d2256b40] mmco: unref short failure +[h264 @ 0x56461224bcc0] mmco: unref short failure +[h264 @ 0x5566d0fd4180] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d776a0c0] mmco: unref short failure +[h264 @ 0x5566d776a0c0] mmco: unref short failure +[h264 @ 0x564610668200] mmco: unref short failure +[h264 @ 0x564610668200] mmco: unref short failure +[h264 @ 0x5566d26d8d40] Missing reference picture, default is 65530 +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564617468a00] Missing reference picture, default is 65530 +[h264 @ 0x564617468a00] mmco: unref short failure +[h264 @ 0x564617468a00] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d2090000] mmco: unref short failure +[h264 @ 0x5566d2090000] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56461224bcc0] mmco: unref short failure +[h264 @ 0x5566d2bb21c0] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d2d45040] mmco: unref short failure +[h264 @ 0x5646155dd780] mmco: unref short failure +[h264 @ 0x5566d2d45040] mmco: unref short failure +[h264 @ 0x5566d2d45040] mmco: unref short failure +[h264 @ 0x5646155dd780] mmco: unref short failure +[h264 @ 0x5646155dd780] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x564610d57980] mmco: unref short failure +[h264 @ 0x5566d43fed40] mmco: unref short failure +[h264 @ 0x5566d12d2940] mmco: unref short failure +[h264 @ 0x5566d12d2940] mmco: unref short failure +[h264 @ 0x56460fd69100] mmco: unref short failure +[h264 @ 0x56460fd69100] mmco: unref short failure +[h264 @ 0x5566d12d2940] mmco: unref short failure +[h264 @ 0x5566d12d2940] mmco: unref short failure +[h264 @ 0x56460fd69100] mmco: unref short failure +[h264 @ 0x56460fd69100] mmco: unref short failure +[h264 @ 0x56460fd69100] mmco: unref short failure +[h264 @ 0x5566d12d2940] mmco: unref short failure +[h264 @ 0x56460fd69100] mmco: unref short failure +[h264 @ 0x5566d12d2940] mmco: unref short failure +[h264 @ 0x56460fd69100] mmco: unref short failure +[h264 @ 0x5566d12d2940] mmco: unref short failure +[h264 @ 0x5566d12d2940] mmco: unref short failure +[h264 @ 0x5566d12d2940] mmco: unref short failure +[h264 @ 0x56460fd69100] mmco: unref short failure +[h264 @ 0x56460fd69100] mmco: unref short failure +[h264 @ 0x5566d43fed40] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d792c200] mmco: unref short failure +[h264 @ 0x5566d792c200] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5646122b6900] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x5566d792c200] mmco: unref short failure +[h264 @ 0x5566d792c200] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x5646122b6900] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x5646122b6900] mmco: unref short failure +[h264 @ 0x5646122b6900] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x56460fa9d240] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x5646122b6900] mmco: unref short failure +[h264 @ 0x5566d1271100] mmco: unref short failure +[h264 @ 0x5566d1271100] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d309d940] mmco: unref short failure +[h264 @ 0x5566d309d940] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x564610137f80] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x5646122b6900] mmco: unref short failure +[h264 @ 0x5646122b6900] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x564617468a00] mmco: unref short failure +[h264 @ 0x564617468a00] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x564617468a00] mmco: unref short failure +[h264 @ 0x564617468a00] mmco: unref short failure +[h264 @ 0x5566d2256b40] mmco: unref short failure +[h264 @ 0x5566d2256b40] mmco: unref short failure +[h264 @ 0x56461674e900] mmco: unref short failure +[h264 @ 0x56461674e900] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x564617468a00] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x564610caca80] mmco: unref short failure +[h264 @ 0x564610caca80] mmco: unref short failure +[h264 @ 0x564610caca80] mmco: unref short failure +[h264 @ 0x564610caca80] mmco: unref short failure +[h264 @ 0x564614fd7ec0] mmco: unref short failure +[h264 @ 0x564614fd7ec0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x56460fdc8780] mmco: unref short failure +[h264 @ 0x56460fdc8780] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564617468a00] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x564617468a00] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x564617468a00] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x564617468a00] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x564617468a00] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x564617468a00] mmco: unref short failure +[h264 @ 0x564617468a00] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x564617468a00] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x564617468a00] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x564617468a00] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564613445e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564613445e00] mmco: unref short failure +[h264 @ 0x564613445e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564613445e00] mmco: unref short failure +[h264 @ 0x564613445e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564613445e00] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x564614fd7ec0] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x564614fd7ec0] mmco: unref short failure +[h264 @ 0x564614fd7ec0] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x56461020f600] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x56461020f600] mmco: unref short failure +[h264 @ 0x56461020f600] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x56461020f600] mmco: unref short failure +[h264 @ 0x56461020f600] mmco: unref short failure +[h264 @ 0x56461020f600] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x564617468a00] mmco: unref short failure +[h264 @ 0x564617468a00] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564610391880] mmco: unref short failure +[h264 @ 0x5566d1b01800] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x564610668200] mmco: unref short failure +[h264 @ 0x5566d31b1640] mmco: unref short failure +[h264 @ 0x5566d31b1640] mmco: unref short failure +[h264 @ 0x564610668200] mmco: unref short failure +[h264 @ 0x5566d2d45040] mmco: unref short failure +[h264 @ 0x5566d2d45040] mmco: unref short failure +[h264 @ 0x564610ee0480] mmco: unref short failure +[h264 @ 0x564610ee0480] mmco: unref short failure +[h264 @ 0x5566d26c97c0] mmco: unref short failure +[h264 @ 0x5566d26c97c0] mmco: unref short failure +[h264 @ 0x56460f965740] mmco: unref short failure +[h264 @ 0x56460f965740] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x5566d26c97c0] mmco: unref short failure +[h264 @ 0x56460f965740] mmco: unref short failure +[h264 @ 0x564615076840] mmco: unref short failure +[h264 @ 0x5566d1a22b40] mmco: unref short failure +[h264 @ 0x5566d26c97c0] mmco: unref short failure +[h264 @ 0x5566d26c97c0] mmco: unref short failure +[h264 @ 0x564611348540] mmco: unref short failure +[h264 @ 0x5566d28bdc40] mmco: unref short failure +[h264 @ 0x56460f965740] mmco: unref short failure +[h264 @ 0x56460f965740] mmco: unref short failure +[h264 @ 0x564610391880] mmco: unref short failure +[h264 @ 0x5566d1b01800] mmco: unref short failure +[h264 @ 0x5566d1b01800] mmco: unref short failure +[h264 @ 0x5566d1b01800] mmco: unref short failure +[h264 @ 0x564610391880] mmco: unref short failure +[h264 @ 0x564610391880] mmco: unref short failure +[h264 @ 0x5566d26c97c0] mmco: unref short failure +[h264 @ 0x5566d26c97c0] mmco: unref short failure +[h264 @ 0x56460f965740] mmco: unref short failure +[h264 @ 0x56460f965740] mmco: unref short failure +[h264 @ 0x56460f965740] mmco: unref short failure +[h264 @ 0x5566d26c97c0] mmco: unref short failure +[h264 @ 0x5566d43fed40] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d4f37c40] mmco: unref short failure +[h264 @ 0x5566d4f37c40] mmco: unref short failure +[h264 @ 0x56460f965740] mmco: unref short failure +[h264 @ 0x5566d26c97c0] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d0fd4180] mmco: unref short failure +[h264 @ 0x5566d0fd4180] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x5566d256c0c0] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +Token indices sequence length is longer than the specified maximum sequence length for this model (131845 > 131072). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (131845 > 131072). Running this sequence through the model will result in indexing errors +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d2651780] mmco: unref short failure +[h264 @ 0x5566d2651780] mmco: unref short failure +[h264 @ 0x5566d2651780] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x564610ee5880] mmco: unref short failure +[h264 @ 0x564610ee5880] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564610ee5880] mmco: unref short failure +[h264 @ 0x564610ee5880] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564610ee5880] mmco: unref short failure +[h264 @ 0x564610ee5880] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564610ee5880] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564610ee5880] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564610ee5880] mmco: unref short failure +[h264 @ 0x564610ee5880] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564610ee5880] mmco: unref short failure +[h264 @ 0x564610ee5880] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564610ee5880] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x5566d2bb21c0] mmco: unref short failure +[h264 @ 0x56460fc44fc0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x56460fc44fc0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x56460fc44fc0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x56460fc44fc0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x56460fc44fc0] mmco: unref short failure +[h264 @ 0x56460fc44fc0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x56460fc44fc0] mmco: unref short failure +[h264 @ 0x56460fc44fc0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x56460fc44fc0] mmco: unref short failure +[h264 @ 0x56460fc44fc0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x56460fc44fc0] mmco: unref short failure +[h264 @ 0x56460fc44fc0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x56460fc44fc0] mmco: unref short failure +[h264 @ 0x56460fc44fc0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x56460fc44fc0] mmco: unref short failure +[h264 @ 0x56460fc44fc0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564610f89940] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564610f89940] mmco: unref short failure +[h264 @ 0x564610f89940] mmco: unref short failure +[h264 @ 0x564610f89940] mmco: unref short failure +[h264 @ 0x5566d333a600] mmco: unref short failure +[h264 @ 0x5566d333a600] mmco: unref short failure +[h264 @ 0x56461674e900] mmco: unref short failure +[h264 @ 0x56461674e900] mmco: unref short failure +[h264 @ 0x5566d2e663c0] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d12d2940] mmco: unref short failure +[h264 @ 0x5566d12d2940] mmco: unref short failure +[h264 @ 0x564615725700] mmco: unref short failure +[h264 @ 0x564615725700] mmco: unref short failure +[h264 @ 0x564610f89940] mmco: unref short failure +[h264 @ 0x564610f89940] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564610d57980] mmco: unref short failure +[h264 @ 0x5566d153eac0] mmco: unref short failure +[h264 @ 0x5566d333a600] mmco: unref short failure +[h264 @ 0x564610d13e00] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x564610f89940] mmco: unref short failure +[h264 @ 0x564610f89940] mmco: unref short failure +[h264 @ 0x5566d1b01800] mmco: unref short failure +[h264 @ 0x5566d1b01800] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x564610f89940] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x564610f89940] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x564610f89940] mmco: unref short failure +[h264 @ 0x564610f89940] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x564610f89940] mmco: unref short failure +[h264 @ 0x564610f89940] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x564610f89940] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x564610f89940] mmco: unref short failure +[h264 @ 0x564610f89940] mmco: unref short failure +[h264 @ 0x564610f89940] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x564610f89940] mmco: unref short failure +[h264 @ 0x564610f89940] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x56460fd4cc00] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d0fd4180] mmco: unref short failure +[h264 @ 0x56460fdc8780] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x56460fdc8780] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d120ca40] mmco: unref short failure +[h264 @ 0x5566d120ca40] mmco: unref short failure +[h264 @ 0x56460fb74280] mmco: unref short failure +[h264 @ 0x56460fb74280] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564611b6d4c0] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x56460f9e9440] mmco: unref short failure +[h264 @ 0x56460f9e9440] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x56460f9e9440] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d19d09c0] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d218cd80] mmco: unref short failure +[h264 @ 0x56460fdc8780] mmco: unref short failure +[h264 @ 0x5566d2319f80] mmco: unref short failure +[h264 @ 0x5566d2319f80] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 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short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x564610283c40] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d218cd80] mmco: unref short failure +[h264 @ 0x56460fdc8780] mmco: unref short failure +[h264 @ 0x5566d43b6b80] mmco: unref short failure +[h264 @ 0x5566d43b6b80] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x564617428200] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x564617428200] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564617428200] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564617428200] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564617428200] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d309d940] mmco: unref short failure +[h264 @ 0x5566d309d940] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d2651780] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x56461138c000] mmco: unref short failure +[h264 @ 0x56461138c000] mmco: unref short failure +[h264 @ 0x5566d2651780] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d2651780] mmco: unref short failure +[h264 @ 0x5566d2651780] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d2651780] mmco: unref short failure +[h264 @ 0x5566d2651780] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d2651780] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d2651780] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d776a0c0] mmco: unref short failure +[h264 @ 0x564611d54580] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x56460fdc8780] mmco: unref short failure +[h264 @ 0x5566d120ca40] mmco: unref short failure +[h264 @ 0x5566d120ca40] mmco: unref short failure +[h264 @ 0x564611348540] mmco: unref short failure +[h264 @ 0x564611348540] mmco: unref short failure +[h264 @ 0x564611348540] mmco: unref short failure +[h264 @ 0x5566d120ca40] mmco: unref short failure +[h264 @ 0x5566d120ca40] mmco: unref short failure +[h264 @ 0x564611348540] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x5566d3e061c0] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x564616e5e900] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d309d940] mmco: unref short failure +[h264 @ 0x5566d309d940] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x56460fd17400] mmco: unref short failure +[h264 @ 0x56460fd17400] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x56460fd17400] mmco: unref short failure +[h264 @ 0x56460fd17400] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x56460fd17400] mmco: unref short failure +[h264 @ 0x56460fd17400] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x56460fd17400] mmco: unref short failure +processed_samples 2500 unjoint_samples 2500 joint_samples 179 [121799, 55614] +processed_samples 2500 unjoint_samples 2500 joint_samples 179 [121799, 55614] +processed_samples 2500 unjoint_samples 2500 joint_samples 169 [87107, 111517] +processed_samples 2500 unjoint_samples 2500 joint_samples 169 [87107, 111517] +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +processed_samples 2500 unjoint_samples 2500 joint_samples 169 [129950, 99793] +processed_samples 2500 unjoint_samples 2500 joint_samples 169 [129950, 99793] +processed_samples 2501 unjoint_samples 2500 joint_samples 172 [115910, 115148] +processed_samples 2501 unjoint_samples 2500 joint_samples 172 [115910, 115148] +processed_samples 2501 unjoint_samples 2500 joint_samples 174 [78776, 125729] +processed_samples 2501 unjoint_samples 2500 joint_samples 174 [78776, 125729] +processed_samples 2501 unjoint_samples 2500 joint_samples 169 [122619, 26144] +processed_samples 2501 unjoint_samples 2500 joint_samples 169 [122619, 26144] +processed_samples 2502 unjoint_samples 2500 joint_samples 177 [110018, 54573] +processed_samples 2502 unjoint_samples 2500 joint_samples 177 [110018, 54573] +[h264 @ 0x5646143c6980] mmco: unref short failure +[h264 @ 0x5646143c6980] mmco: unref short failure +[h264 @ 0x5566d792c200] mmco: unref short failure +[h264 @ 0x5566d792c200] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +processed_samples 2501 unjoint_samples 2500 joint_samples 168 [66531, 97478] +processed_samples 2501 unjoint_samples 2500 joint_samples 168 [66531, 97478] +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d1271100] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x56460fc2cd40] mmco: unref short failure +[h264 @ 0x56460fd17400] mmco: unref short failure +[h264 @ 0x56460fd17400] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d3659fc0] mmco: unref short failure +[h264 @ 0x5566d3659fc0] mmco: unref short failure +[h264 @ 0x564610ee0480] mmco: unref short failure +[h264 @ 0x564610ee0480] mmco: unref short failure +[h264 @ 0x5566d3659fc0] mmco: unref short failure +[h264 @ 0x5566d3659fc0] mmco: unref short failure +[h264 @ 0x564610ee0480] mmco: unref short failure +[h264 @ 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short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x56460fdc8780] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x56460fdc8780] mmco: unref short failure +[h264 @ 0x56460fdc8780] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x56460fdc8780] mmco: unref short failure +[h264 @ 0x56460fdc8780] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x5566d30b2e80] mmco: unref short failure +[h264 @ 0x56460fdc8780] mmco: unref short failure +[h264 @ 0x56460fdc8780] mmco: unref short failure +[h264 @ 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short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d218cd80] mmco: unref short failure +[h264 @ 0x5566d218cd80] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d218cd80] mmco: unref short failure +[h264 @ 0x5566d218cd80] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x564610668200] mmco: unref short failure +[h264 @ 0x564610668200] mmco: unref short failure +[h264 @ 0x5566d189b9c0] mmco: unref short failure +[h264 @ 0x5566d189b9c0] mmco: unref short failure +[h264 @ 0x564611d54580] mmco: unref short failure +[h264 @ 0x564611d54580] mmco: unref short failure +[h264 @ 0x5566d189b9c0] mmco: unref short failure +[h264 @ 0x564611d54580] mmco: unref short failure +[h264 @ 0x5566d189b9c0] mmco: unref short failure +[h264 @ 0x5566d189b9c0] mmco: unref short failure +[h264 @ 0x564611d54580] mmco: unref short failure +[h264 @ 0x564611d54580] mmco: unref short failure +[h264 @ 0x5566d189b9c0] mmco: unref short failure +[h264 @ 0x5566d189b9c0] mmco: unref short failure +[h264 @ 0x564611d54580] mmco: unref short failure +[h264 @ 0x564611d54580] mmco: unref short failure +[h264 @ 0x5566d189b9c0] mmco: unref short failure +[h264 @ 0x5566d189b9c0] mmco: unref short failure +[h264 @ 0x564611d54580] mmco: unref short failure +[h264 @ 0x564611d54580] mmco: unref short failure +[h264 @ 0x5566d189b9c0] mmco: unref short failure +[h264 @ 0x564611d54580] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x5646108acb00] mmco: unref short failure +[h264 @ 0x5566d31b1640] mmco: unref short failure +[h264 @ 0x5566d35fc300] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d0fd4180] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x56460f76d6c0] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x56460fd17400] mmco: unref short failure +[h264 @ 0x56460fd17400] mmco: unref short failure +[h264 @ 0x56461138c000] mmco: unref short failure +[h264 @ 0x5566d274fec0] mmco: unref short failure +[h264 @ 0x5566d792c200] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d792c200] mmco: unref short failure +[h264 @ 0x5566d792c200] mmco: unref short failure +[h264 @ 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short failure +[h264 @ 0x56460fd17400] mmco: unref short failure +[h264 @ 0x56460fd17400] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x56460fd17400] mmco: unref short failure +[h264 @ 0x56460fd17400] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x56460fd17400] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x56460fd17400] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x56460fd17400] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x56460fd17400] mmco: unref short failure +[h264 @ 0x56460fd17400] mmco: unref short failure +[h264 @ 0x5566d109de00] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 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short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5646102d7640] mmco: unref short failure +[h264 @ 0x5646102d7640] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d120ca40] mmco: unref short failure +[h264 @ 0x5646102d7640] mmco: unref short failure +[h264 @ 0x5566d120ca40] mmco: unref short failure +[h264 @ 0x5566d120ca40] mmco: unref short failure +[h264 @ 0x5646102d7640] mmco: unref short failure +[h264 @ 0x5646102d7640] mmco: unref short failure +[h264 @ 0x5566d120ca40] mmco: unref short failure +[h264 @ 0x5646102d7640] mmco: unref short failure +[h264 @ 0x5566d3da0d80] mmco: unref short failure +[h264 @ 0x5566d3da0d80] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5646155dd780] mmco: unref short failure +[h264 @ 0x5566d333a600] mmco: unref short failure +[h264 @ 0x5646155dd780] mmco: unref short failure +[h264 @ 0x5566d333a600] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5646155dd780] mmco: unref short failure +[h264 @ 0x5646155dd780] mmco: unref short failure +[h264 @ 0x5566d333a600] mmco: unref short failure +[h264 @ 0x5566d333a600] mmco: unref short failure +[h264 @ 0x5646155dd780] mmco: unref short failure +[h264 @ 0x5646155dd780] mmco: unref short failure +[h264 @ 0x5566d333a600] mmco: unref short failure +[h264 @ 0x5566d333a600] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x56460fd17400] mmco: unref short failure +[h264 @ 0x56460fd17400] mmco: unref short failure +[h264 @ 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short failure +[h264 @ 0x5566d5112c00] mmco: unref short failure +[h264 @ 0x5566d5112c00] mmco: unref short failure +[h264 @ 0x5646107db3c0] mmco: unref short failure +[h264 @ 0x5646107db3c0] mmco: unref short failure +[h264 @ 0x5646107db3c0] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d5112c00] mmco: unref short failure +[h264 @ 0x5566d5112c00] mmco: unref short failure +[h264 @ 0x5566d5112c00] mmco: unref short failure +[h264 @ 0x5646107db3c0] mmco: unref short failure +[h264 @ 0x5646107db3c0] mmco: unref short failure +[h264 @ 0x5646107db3c0] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 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short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d1636580] mmco: unref short failure +[h264 @ 0x5566d1636580] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d1636580] mmco: unref short failure +[h264 @ 0x5566d1636580] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d2651780] mmco: unref short failure +[h264 @ 0x5566d2651780] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d15d0180] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d15d0180] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d15d0180] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d15d0180] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d109de00] mmco: unref short failure +local_disk/cognitron_vl/cognitron_vl/data/processor/image_processor.py:265: ResourceWarning: unclosed file <_io.BufferedReader name='/data/data/LMM/lmms-lab/M4-Instruct-Data/imagecode/0.0.0/c55fcb268ead378049e4743c77ca2db3142e12a0f7dfc42eb8267e08efa85f58/train_images/image-sets/open-images-787_4095f7bc16de31cc/img8.jpg'> + image = Image.open(img_or_path).convert("RGB") +local_disk/cognitron_vl/cognitron_vl/data/processor/image_processor.py:265: ResourceWarning: unclosed file <_io.BufferedReader name='/data/data/LMM/lmms-lab/M4-Instruct-Data/imagecode/0.0.0/c55fcb268ead378049e4743c77ca2db3142e12a0f7dfc42eb8267e08efa85f58/train_images/image-sets/open-images-787_4095f7bc16de31cc/img8.jpg'> + image = Image.open(img_or_path).convert("RGB") +[h264 @ 0x5566d2ecccc0] mmco: unref short failure +[h264 @ 0x56461138c000] mmco: unref short failure +[h264 @ 0x5566d2ecccc0] mmco: unref short failure +[h264 @ 0x5566d2ecccc0] mmco: unref short failure +[h264 @ 0x5566d2ecccc0] mmco: unref short failure +[h264 @ 0x56461138c000] mmco: unref short failure +[h264 @ 0x56461138c000] mmco: unref short failure +[h264 @ 0x56461138c000] mmco: unref short failure +[h264 @ 0x5566d2ecccc0] mmco: unref short failure +[h264 @ 0x5566d2ecccc0] mmco: unref short failure +[h264 @ 0x5566d2ecccc0] mmco: unref short failure +[h264 @ 0x56461138c000] mmco: unref short failure +[h264 @ 0x56461138c000] mmco: unref short failure +[h264 @ 0x56461138c000] mmco: unref short failure +[h264 @ 0x5566d2ecccc0] mmco: unref short failure +[h264 @ 0x56461138c000] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d2256b40] mmco: unref short failure +[h264 @ 0x5566d2256b40] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x564610307b00] mmco: unref short failure +[h264 @ 0x564610307b00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d2256b40] mmco: unref short failure +[h264 @ 0x5566d2256b40] mmco: unref short failure +[h264 @ 0x564610307b00] mmco: unref short failure +[h264 @ 0x564610307b00] mmco: unref short failure +[h264 @ 0x5646117c20c0] mmco: unref short failure +[h264 @ 0x5566d256c0c0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d2256b40] mmco: unref short failure +[h264 @ 0x564610307b00] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x5566d10797c0] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d5850b80] mmco: unref short failure +[h264 @ 0x564613ba6440] mmco: unref short failure +[h264 @ 0x5566d1636580] mmco: unref short failure +[h264 @ 0x5566d1636580] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d1636580] mmco: unref short failure +[h264 @ 0x5566d1636580] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x564611e8cb00] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x564611e8cb00] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d5850b80] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d5850b80] mmco: unref short failure +[h264 @ 0x5566d5850b80] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x5646114db400] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d5850b80] mmco: unref short failure +[h264 @ 0x5566d5850b80] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d5850b80] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d1a22b40] mmco: unref short failure +[h264 @ 0x5566d1a22b40] mmco: unref short failure +[h264 @ 0x5646102d7640] mmco: unref short failure +[h264 @ 0x5646102d7640] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5646155dd780] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5566d0efcf00] mmco: unref short failure +[h264 @ 0x5566d0efcf00] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x5646155dd780] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x564611b6d4c0] mmco: unref short failure +[h264 @ 0x564611b6d4c0] mmco: unref short failure +[h264 @ 0x5566d0efcf00] mmco: unref short failure +[h264 @ 0x5566d0efcf00] mmco: unref short failure +[h264 @ 0x56460fd565c0] mmco: unref short failure +[h264 @ 0x56460fd565c0] mmco: unref short failure +[h264 @ 0x5566d0efcf00] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x56460fd565c0] mmco: unref short failure +[h264 @ 0x564611b6d4c0] mmco: unref short failure +[h264 @ 0x564611b6d4c0] mmco: unref short failure +[h264 @ 0x564611b6d4c0] mmco: unref short failure +[h264 @ 0x56460fd565c0] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5566d42a09c0] mmco: unref short failure +[h264 @ 0x5646155dd780] mmco: unref short failure +[h264 @ 0x5646155dd780] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x5646114db400] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x56460fd565c0] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x5566d354c500] mmco: unref short failure +[h264 @ 0x56460fd565c0] mmco: unref short failure +[h264 @ 0x56460fd565c0] mmco: unref short failure +[h264 @ 0x5566d26c97c0] mmco: unref short failure +[h264 @ 0x5646122b6900] mmco: unref short failure +[h264 @ 0x5566d26c97c0] mmco: unref short failure +[h264 @ 0x5566d26c97c0] mmco: unref short failure +[h264 @ 0x5646122b6900] mmco: unref short failure +[h264 @ 0x5646122b6900] mmco: unref short failure +[h264 @ 0x5566d26c97c0] mmco: unref short failure +[h264 @ 0x5646122b6900] mmco: unref short failure +[h264 @ 0x5566d26c97c0] mmco: unref short failure +[h264 @ 0x5566d26c97c0] mmco: unref short failure +[h264 @ 0x5646122b6900] mmco: unref short failure +[h264 @ 0x5646122b6900] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d29004c0] mmco: unref short failure +[h264 @ 0x5566d0ff74c0] mmco: unref short failure +[h264 @ 0x5646107db3c0] mmco: unref short failure +[h264 @ 0x5566d2ecccc0] mmco: unref short failure +[h264 @ 0x564611d54580] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x564611e8cb00] mmco: unref short failure +[h264 @ 0x564611e8cb00] mmco: unref short failure +[h264 @ 0x5566d4711fc0] mmco: unref short failure +[h264 @ 0x5646114db400] mmco: unref short failure +[h264 @ 0x5566d43fed40] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d100a840] mmco: unref short failure +[h264 @ 0x5566d43fed40] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d43fed40] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x564611e8cb00] mmco: unref short failure +[h264 @ 0x564611e8cb00] mmco: unref short failure +[h264 @ 0x5566d28bdc40] mmco: unref short failure +[h264 @ 0x5566d28bdc40] mmco: unref short failure +[h264 @ 0x5646107db3c0] mmco: unref short failure +[h264 @ 0x5646107db3c0] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x564611e8cb00] mmco: unref short failure +[h264 @ 0x564611e8cb00] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x564611e8cb00] mmco: unref short failure +[h264 @ 0x564611e8cb00] mmco: unref short failure +[h264 @ 0x5566d38c2ac0] mmco: unref short failure +[h264 @ 0x564611e8cb00] mmco: unref short failure +[h264 @ 0x5566d28bdc40] mmco: unref short failure +[h264 @ 0x5566d28bdc40] mmco: unref short failure +[h264 @ 0x5646107db3c0] mmco: unref short failure +[h264 @ 0x5646107db3c0] mmco: unref short failure +[h264 @ 0x5566d43fed40] mmco: unref short failure +[h264 @ 0x5566d43fed40] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x564610369d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d36d9240] mmco: unref short failure +[h264 @ 0x5566d36d9240] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56460fd565c0] mmco: unref short failure +[h264 @ 0x5566d12d2940] mmco: unref short failure +[h264 @ 0x5566d12d2940] mmco: unref short failure +[h264 @ 0x56461224bcc0] mmco: unref short failure +[h264 @ 0x56461224bcc0] mmco: unref short failure +[h264 @ 0x56460f7f7140] mmco: unref short failure +[h264 @ 0x5566d274fec0] mmco: unref short failure +[h264 @ 0x56460f7f7140] mmco: unref short failure +[h264 @ 0x5566d274fec0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x564613356940] mmco: unref short failure +[h264 @ 0x5566d36d9240] mmco: unref short failure +[h264 @ 0x5566d36d9240] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x5646114db400] mmco: unref short failure +[h264 @ 0x5646114db400] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x564617468a00] mmco: unref short failure +[h264 @ 0x564617468a00] mmco: unref short failure +[h264 @ 0x5646100db280] mmco: unref short failure +[h264 @ 0x5566d43fed40] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x5646101f02c0] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x5646101f02c0] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x5646101f02c0] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x5646101f02c0] mmco: unref short failure +[h264 @ 0x5646101f02c0] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x5646101f02c0] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x5566d4711fc0] mmco: unref short failure +[h264 @ 0x5566d4711fc0] mmco: unref short failure +[h264 @ 0x5566d4711fc0] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x5566d5b1bf80] mmco: unref short failure +[h264 @ 0x5566d5b1bf80] mmco: unref short failure +[h264 @ 0x56460fc2cd40] mmco: unref short failure +[h264 @ 0x56460fc2cd40] mmco: unref short failure +[h264 @ 0x5566d5b1bf80] mmco: unref short failure +[h264 @ 0x56460fc2cd40] mmco: unref short failure +[h264 @ 0x5566d5b1bf80] mmco: unref short failure +[h264 @ 0x5566d5b1bf80] mmco: unref short failure +[h264 @ 0x56460fc2cd40] mmco: unref short failure +[h264 @ 0x56460fc2cd40] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x56460f9e9440] mmco: unref short failure +[h264 @ 0x5566d120ca40] mmco: unref short failure +[h264 @ 0x5566d120ca40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x56460f9e9440] mmco: unref short failure +[h264 @ 0x56460f9e9440] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x56460f9e9440] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d120ca40] mmco: unref short failure +[h264 @ 0x5566d120ca40] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x5645ed309f00] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d5850b80] mmco: unref short failure +[h264 @ 0x564612403880] mmco: unref short failure +[h264 @ 0x564612403880] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d5850b80] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d5850b80] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x5566d36d9240] mmco: unref short failure +[h264 @ 0x5566d36d9240] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d36d9240] mmco: unref short failure +[h264 @ 0x5566d36d9240] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x5566d2d45040] mmco: unref short failure +[h264 @ 0x564610c3cfc0] mmco: unref short failure +processed_samples 3000 unjoint_samples 3000 joint_samples 205 [125081, 121569] +processed_samples 3000 unjoint_samples 3000 joint_samples 205 [125081, 121569] +processed_samples 3000 unjoint_samples 3000 joint_samples 216 [114666, 127896] +processed_samples 3000 unjoint_samples 3000 joint_samples 216 [114666, 127896] +processed_samples 3001 unjoint_samples 3000 joint_samples 204 [55256, 124510] +processed_samples 3001 unjoint_samples 3000 joint_samples 204 [55256, 124510] +processed_samples 3001 unjoint_samples 3000 joint_samples 207 [118776, 120235] +processed_samples 3001 unjoint_samples 3000 joint_samples 207 [118776, 120235] +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +processed_samples 3000 unjoint_samples 3000 joint_samples 201 [71916, 120827] +processed_samples 3000 unjoint_samples 3000 joint_samples 201 [71916, 120827] +processed_samples 3001 unjoint_samples 3000 joint_samples 205 [50904, 87093] +processed_samples 3001 unjoint_samples 3000 joint_samples 205 [50904, 87093] +processed_samples 3001 unjoint_samples 3000 joint_samples 205 [45904, 116054] +processed_samples 3001 unjoint_samples 3000 joint_samples 205 [45904, 116054] +processed_samples 3002 unjoint_samples 3000 joint_samples 211 [108888, 104672] +processed_samples 3002 unjoint_samples 3000 joint_samples 211 [108888, 104672] +[h264 @ 0x5566d1271100] mmco: unref short failure +[h264 @ 0x5566d1271100] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x564610668200] mmco: unref short failure +[h264 @ 0x564610668200] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x5566d109de00] mmco: unref short failure +[h264 @ 0x5566d109de00] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x564610307b00] mmco: unref short failure +[h264 @ 0x564610307b00] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460fd69100] mmco: unref short failure +[h264 @ 0x5566d31b1640] mmco: unref short failure +[h264 @ 0x564611904c00] mmco: unref short failure +[h264 @ 0x564611904c00] mmco: unref short failure +[h264 @ 0x5566d2ecccc0] mmco: unref short failure +[h264 @ 0x5566d2ecccc0] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d3de8f40] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x5566d225d600] mmco: unref short failure +[h264 @ 0x56460f7d2fc0] mmco: unref short failure +[h264 @ 0x5566d1810800] mmco: unref short failure +[h264 @ 0x5566d1810800] mmco: unref short failure +[h264 @ 0x5646124a6e00] mmco: unref short failure +[h264 @ 0x5646124a6e00] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d28bdc40] mmco: unref short failure +[h264 @ 0x5646155dd780] mmco: unref short failure +[h264 @ 0x5566d28bdc40] mmco: unref short failure +[h264 @ 0x5646155dd780] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x564617428200] mmco: unref short failure +[h264 @ 0x564617428200] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x564617428200] mmco: unref short failure +[h264 @ 0x564617428200] mmco: unref short failure +[h264 @ 0x564617428200] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x564617428200] mmco: unref short failure +[h264 @ 0x564617428200] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x564617428200] mmco: unref short failure +[h264 @ 0x564617428200] mmco: unref short failure +[h264 @ 0x5566d1636580] mmco: unref short failure +[h264 @ 0x56461271ce00] mmco: unref short failure +[h264 @ 0x5566d2107940] mmco: unref short failure +[h264 @ 0x5566d2107940] mmco: unref short failure +[h264 @ 0x5566d2107940] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d256c0c0] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d274fec0] mmco: unref short failure +[h264 @ 0x564610c3cfc0] mmco: unref short failure +[h264 @ 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short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d12fb2c0] mmco: unref short failure +[h264 @ 0x5566d12fb2c0] mmco: unref short failure +[h264 @ 0x56461224bcc0] mmco: unref short failure +[h264 @ 0x56461224bcc0] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x5646108acb00] mmco: unref short failure +[h264 @ 0x5646108acb00] mmco: unref short failure +[h264 @ 0x5646108acb00] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x5646108acb00] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d289bb00] mmco: unref short failure +[h264 @ 0x564610fc3b40] mmco: unref short failure +[h264 @ 0x5566d289bb00] mmco: unref short failure +[h264 @ 0x564610fc3b40] mmco: unref short failure +[h264 @ 0x5566d43fed40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d1d0b8c0] mmco: unref short failure +[h264 @ 0x564610fc3b40] mmco: unref short failure +[h264 @ 0x5566d1d0b8c0] mmco: unref short failure +[h264 @ 0x5566d1d0b8c0] mmco: unref short failure +[h264 @ 0x564610fc3b40] mmco: unref short failure +[h264 @ 0x564610fc3b40] mmco: unref short failure +[h264 @ 0x5566d43fed40] mmco: unref short failure +[h264 @ 0x5566d43fed40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x56461856fe40] mmco: unref short failure +[h264 @ 0x5566d1d0b8c0] mmco: unref short failure +[h264 @ 0x5566d1d0b8c0] mmco: unref short failure +[h264 @ 0x5566d5851040] mmco: unref short failure +[h264 @ 0x564610fc3b40] mmco: unref short failure +[h264 @ 0x564610fc3b40] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d5851040] mmco: unref short failure +[h264 @ 0x5566d5851040] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 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short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x564615725700] mmco: unref short failure +[h264 @ 0x564615725700] mmco: unref short failure +[h264 @ 0x564615725700] mmco: unref short failure +[h264 @ 0x564615725700] mmco: unref short failure +[h264 @ 0x5566d2f9eb00] mmco: unref short failure +[h264 @ 0x5566d2f9eb00] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x56461087ad00] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d1a22b40] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d1a22b40] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d1a22b40] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x5566d1df3840] mmco: unref short failure +[h264 @ 0x5566d1df3840] mmco: unref short failure +[h264 @ 0x564610fc3b40] mmco: unref short failure +[h264 @ 0x564610fc3b40] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x5646100db280] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d289bb00] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d289bb00] mmco: unref short failure +[h264 @ 0x5566d289bb00] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d289bb00] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x5566d289bb00] mmco: unref short failure +[h264 @ 0x5566d289bb00] mmco: unref short failure +[h264 @ 0x5566d289bb00] mmco: unref short failure +[h264 @ 0x5566d289bb00] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d1df3840] mmco: unref short failure +[h264 @ 0x564610fc3b40] mmco: unref short failure +[h264 @ 0x5566d3da0d80] mmco: unref short failure +[h264 @ 0x5566d3da0d80] mmco: unref short failure +[h264 @ 0x5566d3da0d80] mmco: unref short failure +[h264 @ 0x56461271ce00] mmco: unref short failure +[h264 @ 0x56461271ce00] mmco: unref short failure +[h264 @ 0x56461271ce00] mmco: unref short failure +[h264 @ 0x564610ee5880] mmco: unref short failure +[h264 @ 0x564610ee5880] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x564610ee5880] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x5566d4cfb8c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x564610905080] mmco: unref short failure +[h264 @ 0x5566d2f9eb00] mmco: unref short failure +[h264 @ 0x5566d2f9eb00] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5566d256c0c0] mmco: unref short failure +[h264 @ 0x5566d256c0c0] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d256c0c0] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d256c0c0] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460f965740] Missing reference picture, default is 65530 +[h264 @ 0x56460f965740] Missing reference picture, default is 65530 +[h264 @ 0x56460f965740] mmco: unref short failure +[h264 @ 0x56460f965740] mmco: unref short failure +[h264 @ 0x5566d2f9eb00] Missing reference picture, default is 65530 +[h264 @ 0x5566d2f9eb00] Missing reference picture, default is 65530 +[h264 @ 0x5566d2f9eb00] mmco: unref short failure +[h264 @ 0x5566d2f9eb00] mmco: unref short failure +[h264 @ 0x56460f965740] mmco: unref short failure +[h264 @ 0x56460f965740] mmco: unref short failure +[h264 @ 0x5566d2f9eb00] mmco: unref short failure +[h264 @ 0x5566d2f9eb00] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x5566d1271f00] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d256c0c0] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x564618543b40] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x5566d1ac6e00] mmco: unref short failure +[h264 @ 0x564611e08980] Missing reference picture, default is 65530 +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d203b180] Missing reference picture, default is 65530 +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x564611e08980] Missing reference picture, default is 65530 +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d203b180] Missing reference picture, default is 65530 +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d256c0c0] mmco: unref short failure +[h264 @ 0x5566d256c0c0] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x56461172bf00] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d2319f80] mmco: unref short failure +[h264 @ 0x5566d2319f80] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d0fd4180] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x56461172bf00] mmco: unref short failure +[h264 @ 0x56461172bf00] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x56461172bf00] mmco: unref short failure +[h264 @ 0x56461172bf00] mmco: unref short failure +[h264 @ 0x56461172bf00] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d203b180] mmco: unref short failure +[h264 @ 0x5566d109de00] mmco: unref short failure +[h264 @ 0x5566d109de00] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d109de00] mmco: unref short failure +[h264 @ 0x56460fc90340] mmco: unref short failure +[h264 @ 0x5566d1636580] mmco: unref short failure +[h264 @ 0x56460faa0140] mmco: unref short failure +[h264 @ 0x5566d1636580] mmco: unref short failure +[h264 @ 0x56460faa0140] mmco: unref short failure +[h264 @ 0x5566d1636580] mmco: unref short failure +[h264 @ 0x56460faa0140] mmco: unref short failure +[h264 @ 0x5566d3153e40] Missing reference picture, default is 65530 +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x56461172bf00] Missing reference picture, default is 65530 +[h264 @ 0x56461172bf00] mmco: unref short failure +[h264 @ 0x56461172bf00] mmco: unref short failure +[h264 @ 0x5566d3153e40] Missing reference picture, default is 65530 +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x56461172bf00] Missing reference picture, default is 65530 +[h264 @ 0x56461172bf00] mmco: unref short failure +[h264 @ 0x56461172bf00] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x564611cd95c0] mmco: unref short failure +[h264 @ 0x564611cd95c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x564611cd95c0] mmco: unref short failure +[h264 @ 0x564611cd95c0] mmco: unref short failure +[h264 @ 0x5566d3153e40] mmco: unref short failure +[h264 @ 0x56461172bf00] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x5566d1ffd940] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x564610d1a740] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x564617428200] mmco: unref short failure +[h264 @ 0x564617428200] mmco: unref short failure +[h264 @ 0x5566d1b01800] mmco: unref short failure +[h264 @ 0x564617428200] mmco: unref short failure +[h264 @ 0x564617428200] mmco: unref short failure +[h264 @ 0x5646124a6e00] mmco: unref short failure +[h264 @ 0x5566d1b01800] mmco: unref short failure +[h264 @ 0x5566d58dd300] mmco: unref short failure +[h264 @ 0x5566d1b01800] mmco: unref short failure +[h264 @ 0x5646124a6e00] mmco: unref short failure +[h264 @ 0x5646124a6e00] mmco: unref short failure +[h264 @ 0x5566d58dd300] mmco: unref short failure +[h264 @ 0x5566d58dd300] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x5566d1274140] mmco: unref short failure +[h264 @ 0x5646101f02c0] mmco: unref short failure +[h264 @ 0x5646101f02c0] mmco: unref short failure +[h264 @ 0x564610fc3b40] mmco: unref short failure +[h264 @ 0x564610fc3b40] mmco: unref short failure +[h264 @ 0x5566d1636580] mmco: unref short failure +[h264 @ 0x5566d1636580] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d1636580] mmco: unref short failure +[h264 @ 0x5566d1636580] mmco: unref short failure +[h264 @ 0x564610fc3b40] mmco: unref short failure +[h264 @ 0x564610fc3b40] mmco: unref short failure +[h264 @ 0x5566d1636580] mmco: unref short failure +[h264 @ 0x564610fc3b40] mmco: unref short failure +[h264 @ 0x5566d1636580] mmco: unref short failure +[h264 @ 0x564610fc3b40] mmco: unref short failure +[h264 @ 0x5566d1636580] mmco: unref short failure +[h264 @ 0x564610fc3b40] mmco: unref short failure +[h264 @ 0x56460fd69100] mmco: unref short failure +[h264 @ 0x5566d3659fc0] mmco: unref short failure +[h264 @ 0x56460fd69100] mmco: unref short failure +[h264 @ 0x5566d3659fc0] mmco: unref short failure +[h264 @ 0x56460fd69100] mmco: unref short failure +[h264 @ 0x56460fd69100] mmco: unref short failure +[h264 @ 0x5566d3659fc0] mmco: unref short failure +[h264 @ 0x5566d3659fc0] mmco: unref short failure +[h264 @ 0x56460fd69100] mmco: unref short failure +[h264 @ 0x5566d3659fc0] mmco: unref short failure +[h264 @ 0x56460fd69100] mmco: unref short failure +[h264 @ 0x56460fd69100] mmco: unref short failure +[h264 @ 0x56460fd69100] mmco: unref short failure +[h264 @ 0x5566d3659fc0] mmco: unref short failure +[h264 @ 0x5566d3659fc0] mmco: unref short failure +[h264 @ 0x5566d3659fc0] mmco: unref short failure +[h264 @ 0x56460fd69100] mmco: unref short failure +[h264 @ 0x56460fd69100] mmco: unref short failure +[h264 @ 0x5566d3659fc0] mmco: unref short failure +[h264 @ 0x5566d3659fc0] mmco: unref short failure +[h264 @ 0x5566d1b01800] mmco: unref short failure +[h264 @ 0x5566d1b01800] mmco: unref short failure +[h264 @ 0x564617428200] mmco: unref short failure +[h264 @ 0x564617428200] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d4d44a80] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x564610a61980] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x5566d298f340] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x56460ff12100] mmco: unref short failure +[h264 @ 0x564615076840] mmco: unref short failure +[h264 @ 0x5566d4f37c40] mmco: unref short failure +[h264 @ 0x5566d4f37c40] mmco: unref short failure +[h264 @ 0x5566d4f37c40] mmco: unref short failure +[h264 @ 0x564615076840] mmco: unref short failure +[h264 @ 0x564615076840] mmco: unref short failure +[h264 @ 0x5566d4f37c40] mmco: unref short failure +[h264 @ 0x564615076840] mmco: unref short failure +[h264 @ 0x5566d4711fc0] mmco: unref short failure +[h264 @ 0x5646114db400] mmco: unref short failure +[h264 @ 0x5566d4f37c40] mmco: unref short failure +[h264 @ 0x564615076840] mmco: unref short failure +[h264 @ 0x5566d1636580] mmco: unref short failure +[h264 @ 0x56461271ce00] mmco: unref short failure +[h264 @ 0x5566d4f37c40] mmco: unref short failure +[h264 @ 0x564615076840] mmco: unref short failure +[h264 @ 0x5566d4f37c40] mmco: unref short failure +[h264 @ 0x564615076840] mmco: unref short failure +[h264 @ 0x5566d4f37c40] mmco: unref short failure +[h264 @ 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short failure +[h264 @ 0x5566d0fd4180] mmco: unref short failure +[h264 @ 0x5566d0fd4180] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d2651780] mmco: unref short failure +[h264 @ 0x564611e08980] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5566d3da0d80] mmco: unref short failure +[h264 @ 0x5646117c20c0] mmco: unref short failure +[h264 @ 0x5646124a6e00] mmco: unref short failure +[h264 @ 0x5646124a6e00] mmco: unref short failure +[h264 @ 0x5566d2107940] mmco: unref short failure +[h264 @ 0x5566d2107940] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x5646124a6e00] mmco: unref short failure +[h264 @ 0x5646124a6e00] mmco: unref short failure +[h264 @ 0x5566d2107940] mmco: unref short failure +[h264 @ 0x5566d2107940] mmco: unref short failure +[h264 @ 0x5646124a6e00] mmco: unref short failure +[h264 @ 0x5646124a6e00] mmco: unref short failure +[h264 @ 0x5566d2107940] mmco: unref short failure +[h264 @ 0x5566d2107940] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x56461138c000] mmco: unref short failure +[h264 @ 0x56461138c000] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5566d6ec1340] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x56461138c000] mmco: unref short failure +[h264 @ 0x56461138c000] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x56461138c000] mmco: unref short failure +[h264 @ 0x56461138c000] mmco: unref short failure +[h264 @ 0x56461138c000] mmco: unref short failure +[h264 @ 0x5566aeb287c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d3c3f6c0] mmco: unref short failure +[h264 @ 0x5646101f02c0] mmco: unref short failure +[h264 @ 0x5646101f02c0] mmco: unref short failure +[h264 @ 0x5566d2beec40] mmco: unref short failure +[h264 @ 0x5566d2beec40] mmco: unref short failure +[h264 @ 0x564610d13e00] mmco: unref short failure +[h264 @ 0x564610d13e00] mmco: unref short failure +[h264 @ 0x5566d1810800] mmco: unref short failure +[h264 @ 0x5566d1810800] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5566d6ec1340] mmco: unref short failure +[h264 @ 0x5566d6ec1340] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5566d6ec1340] mmco: unref short failure +[h264 @ 0x5566d6ec1340] mmco: unref short failure +[h264 @ 0x564610d13e00] mmco: unref short failure +[h264 @ 0x564610d13e00] mmco: unref short failure +[h264 @ 0x5566d1810800] mmco: unref short failure +[h264 @ 0x5566d1810800] mmco: unref short failure +[h264 @ 0x564610d13e00] mmco: unref short failure +[h264 @ 0x564610d13e00] mmco: unref short failure +[h264 @ 0x5566d1810800] mmco: unref short failure +[h264 @ 0x5566d1810800] mmco: unref short failure +[h264 @ 0x564610d13e00] mmco: unref short failure +[h264 @ 0x5566d1810800] mmco: unref short failure +[h264 @ 0x5566d6ec1340] mmco: unref short failure +[h264 @ 0x5566d6ec1340] mmco: unref short failure +[h264 @ 0x5566d6ec1340] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5566d2ecccc0] mmco: unref short failure +[h264 @ 0x5566d2ecccc0] mmco: unref short failure +[h264 @ 0x564610668200] mmco: unref short failure +[h264 @ 0x564610668200] mmco: unref short failure +[h264 @ 0x5566d6ec1340] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x5566aeb31280] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5646185f9f00] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d5b1bf80] mmco: unref short failure +[h264 @ 0x564615076840] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5566d5b1bf80] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x5566d5b1bf80] mmco: unref short failure +[h264 @ 0x564615076840] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x564615076840] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x5566d5b1bf80] mmco: unref short failure +[h264 @ 0x5566d5b1bf80] mmco: unref short failure +[h264 @ 0x564615076840] mmco: unref short failure +[h264 @ 0x564615076840] mmco: unref short failure +[h264 @ 0x5566d5b1bf80] mmco: unref short failure +[h264 @ 0x5566d5b1bf80] mmco: unref short failure +[h264 @ 0x564615076840] mmco: unref short failure +[h264 @ 0x564615076840] mmco: unref short failure +[h264 @ 0x5566d5b1bf80] mmco: unref short failure +[h264 @ 0x564615076840] mmco: unref short failure +[h264 @ 0x5566d5b1bf80] mmco: unref short failure +[h264 @ 0x564615076840] mmco: unref short failure +[h264 @ 0x5566d5b1bf80] mmco: unref short failure +[h264 @ 0x5566d5b1bf80] mmco: unref short failure +[h264 @ 0x564615076840] mmco: unref short failure +[h264 @ 0x564615076840] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x564618737940] mmco: unref short failure +[h264 @ 0x5566d1f8f300] mmco: unref short failure +[h264 @ 0x5646102c6b40] mmco: unref short failure +[h264 @ 0x5566d20fc5c0] mmco: unref short failure +[h264 @ 0x5566d20fc5c0] mmco: unref short failure +[h264 @ 0x564610307b00] mmco: unref short failure +[h264 @ 0x564610307b00] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x5566d3da0d80] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x5566d26d8d40] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d0fd4180] mmco: unref short failure +[h264 @ 0x5566d0fd4180] mmco: unref short failure +[h264 @ 0x564611d54580] mmco: unref short failure +[h264 @ 0x564611d54580] mmco: unref short failure +[h264 @ 0x5566d0fd4180] mmco: unref short failure +[h264 @ 0x5566d0fd4180] mmco: unref short failure +[h264 @ 0x564611d54580] mmco: unref short failure +[h264 @ 0x564611d54580] mmco: unref short failure +[h264 @ 0x5566d0fd4180] mmco: unref short failure +[h264 @ 0x5566d0fd4180] mmco: unref short failure +[h264 @ 0x564611d54580] mmco: unref short failure +[h264 @ 0x564611d54580] mmco: unref short failure +[h264 @ 0x564611d54580] mmco: unref short failure +[h264 @ 0x564611d54580] mmco: unref short failure +[h264 @ 0x5566d0fd4180] mmco: unref short failure +[h264 @ 0x5566d0fd4180] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d3026c80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5566d1f8cd80] mmco: unref short failure +[h264 @ 0x5646116a3740] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x5646106a7b00] mmco: unref short failure +[h264 @ 0x5566d20fc5c0] mmco: unref short failure +[h264 @ 0x5566d20fc5c0] mmco: unref short failure +processed_samples 3500 unjoint_samples 3500 joint_samples 253 [113500, 90144] +[h264 @ 0x564615076840] mmco: unref short failure +[h264 @ 0x564615076840] mmco: unref short failure +[h264 @ 0x5566d20fc5c0] mmco: unref short failure +processed_samples 3500 unjoint_samples 3500 joint_samples 241 [125065, 123139] +[h264 @ 0x564615076840] mmco: unref short failure +processed_samples 3500 unjoint_samples 3500 joint_samples 253 [113500, 90144] +processed_samples 3500 unjoint_samples 3500 joint_samples 234 [123999, 104620] +processed_samples 3500 unjoint_samples 3500 joint_samples 241 [125065, 123139] +processed_samples 3500 unjoint_samples 3500 joint_samples 234 [123999, 104620] +[h264 @ 0x5566d20fc5c0] mmco: unref short failure +[h264 @ 0x564615076840] mmco: unref short failure +[h264 @ 0x5566d20fc5c0] mmco: unref short failure +[h264 @ 0x564615076840] mmco: unref short failure +[h264 @ 0x5566d20fc5c0] mmco: unref short failure +[h264 @ 0x5566d20fc5c0] mmco: unref short failure +[h264 @ 0x564615076840] mmco: unref short failure +[h264 @ 0x564615076840] mmco: unref short failure +[h264 @ 0x5566d20fc5c0] mmco: unref short failure +[h264 @ 0x564615076840] mmco: unref short failure +processed_samples 3501 unjoint_samples 3500 joint_samples 235 [20915, 124688] +processed_samples 3501 unjoint_samples 3500 joint_samples 235 [20915, 124688] +processed_samples 3501 unjoint_samples 3500 joint_samples 238 [79639, 121399] +processed_samples 3501 unjoint_samples 3500 joint_samples 238 [79639, 121399] +processed_samples 3502 unjoint_samples 3500 joint_samples 245 [128778, 30000] +[h264 @ 0x5566d12d2940] mmco: unref short failure +processed_samples 3502 unjoint_samples 3500 joint_samples 245 [128778, 30000] +[h264 @ 0x56460ff43140] mmco: unref short failure +processed_samples 3501 unjoint_samples 3500 joint_samples 245 [121410, 124729] +processed_samples 3501 unjoint_samples 3500 joint_samples 245 [121410, 124729] +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x56460f949900] mmco: unref short failure +[h264 @ 0x5566d203d540] mmco: unref 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0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x5566d2e4aec0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x564610e050c0] mmco: unref short failure +[h264 @ 0x56460fc2cd40] mmco: unref short failure +[h264 @ 0x56460fc2cd40] mmco: unref short failure +[h264 @ 0x5566d1810800] mmco: unref short failure +[h264 @ 0x5566d1810800] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x56460fc2cd40] mmco: unref short failure +[h264 @ 0x5566d1810800] mmco: unref short failure +[h264 @ 0x56460fc2cd40] mmco: unref short failure +[h264 @ 0x56460fc2cd40] mmco: unref short failure +[h264 @ 0x5566d1810800] mmco: unref short failure +[h264 @ 0x5566d1810800] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x564610cd3ac0] mmco: unref short failure +[h264 @ 0x5566d1731e40] mmco: unref short failure +[h264 @ 0x56460fc2cd40] mmco: unref short failure +[h264 @ 0x56460fc2cd40] mmco: unref short failure +[h264 @ 0x5566d1810800] mmco: unref short failure +[h264 @ 0x5566d1810800] mmco: unref short failure +[2024-11-28 15:04:11,958] torch.distributed.elastic.agent.server.api: [ERROR] Error waiting on exit barrier. Elapsed: 300.02527809143066 seconds ++ set +x