[tab] /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/logs/logs_mihir/causal/dynamics-cotraining/train_dynamics_causal_2_node_3389801.log (log)
#!/usr/bin/env bash

#SBATCH --nodes=3
#SBATCH --ntasks-per-node=4
#SBATCH --time=12:00:00
#SBATCH --partition=accelerated
#SBATCH --cpus-per-task=5
#SBATCH --gres=gpu:4
#SBATCH --output=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/logs/logs_mihir/causal/dynamics-cotraining/%x_%j.log
#SBATCH --error=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/logs/logs_mihir/causal/dynamics-cotraining/%x_%j.log
#SBATCH --job-name=train_dynamics_causal_2_node
#SBATCH --requeue
#SBATCH --signal=b:usr1@300 # 5 min before timeout

# --- signal trap to requeue job before timeout ---
requeue_job() {
    echo "[$(date)] caught sigusr1 (timeout warning), requeueing slurm job $SLURM_JOB_ID..."
    # optional: trigger checkpoint saving here
    # e.g., touch $checkpoint_dir/requeue_trigger
    scontrol requeue $SLURM_JOB_ID
    exit 0
}

trap requeue_job sigusr1

# set checkpoint flag based on restart count
restart_count=$(scontrol show job $SLURM_JOB_ID | grep -o 'Restarts=[0-9]*' | cut -d'=' -f2)

if [ $restart_count -eq 0 ]; then
    restore_ckpt_flag="--no-restore-ckpt"
else
    restore_ckpt_flag="--restore-ckpt"
fi



# Log the sbatch script
cat $0

module unload mpi/openmpi/5.0
module unload devel/cuda/12.4
source .venv/bin/activate

array_records_dir=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data_new/open_ai_minecraft_arrayrecords_chunked

job_name=$SLURM_JOB_NAME
slurm_job_id=3373407

CHECKPOINT_DIR=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/$job_name/$slurm_job_id
mkdir -p $CHECKPOINT_DIR

# tokenizer with the new structure supporting larger ffn_dim
tokenizer_ckpt_dir=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data/checkpoints/train_tokenizer_lr_sweep_1e-4_larger_ffn/

env | grep SLURM

srun python train_dynamics.py \
    --save_ckpt \
    $restore_ckpt_flag \
    --wandb_id $SLURM_JOB_ID \
    --ckpt_dir $CHECKPOINT_DIR \
    --batch_size=96 \
    --init_lr=0 \
    --max_lr=2e-5 \
    --log_image_interval=1000 \
    --log \
    --log_checkpoint_interval=1000 \
    --name=dynamics-causal-2-node-$slurm_job_id \
    --tags dynamics causal 2-node \
    --entity instant-uv \
    --project jafar \
    --dyna_dim=1024 \
    --dyna_num_blocks=16 \
    --dyna_num_heads=16 \
    --dyna_ffn_dim=4096 \
    --tokenizer_checkpoint=$tokenizer_ckpt_dir \
    --data_dir $array_records_dir &

child_pid=$!

wait $child_pid
/var/spool/slurmd/job3389801/slurm_script: line 42: .venv/bin/activate: No such file or directory
SLURM_JOB_USER=tum_cte0515
SLURM_TASKS_PER_NODE=4(x3)
SLURM_JOB_UID=999226
SLURM_TASK_PID=1976911
SLURM_JOB_GPUS=0,1,2,3
SLURM_LOCALID=0
SLURM_SUBMIT_DIR=/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs_3
SLURMD_NODENAME=hkn0524
SLURM_JOB_START_TIME=1754087145
SLURM_CLUSTER_NAME=hk
SLURM_JOB_END_TIME=1754130345
SLURM_CPUS_ON_NODE=24
SLURM_JOB_CPUS_PER_NODE=24(x3)
SLURM_GPUS_ON_NODE=4
SLURM_GTIDS=0
SLURM_JOB_PARTITION=accelerated
SLURM_TRES_PER_TASK=cpu=5
SLURM_OOM_KILL_STEP=0
SLURM_JOB_NUM_NODES=3
SLURM_JOBID=3389801
SLURM_JOB_QOS=normal
SLURM_PROCID=0
SLURM_CPUS_PER_TASK=5
SLURM_NTASKS=12
SLURM_TOPOLOGY_ADDR=hkibb.hkibbi1.hkibbi1e11.hkn0524
SLURM_RESTART_COUNT=1
SLURM_TOPOLOGY_ADDR_PATTERN=switch.switch.switch.node
SLURM_SCRIPT_CONTEXT=prolog_task
SLURM_NODELIST=hkn[0524,0528-0529]
SLURM_JOB_ACCOUNT=hk-project-p0023960
SLURM_PRIO_PROCESS=0
SLURM_NPROCS=12
SLURM_NNODES=3
SLURM_SUBMIT_HOST=hkn1991.localdomain
SLURM_JOB_ID=3389801
SLURM_NODEID=0
SLURM_CONF=/etc/slurm/slurm.conf
SLURM_JOB_NAME=train_dynamics_causal_2_node
SLURM_NTASKS_PER_NODE=4
SLURM_JOB_GID=502226
SLURM_JOB_NODELIST=hkn[0524,0528-0529]
GpuFreq=control_disabled
GpuFreq=control_disabled
GpuFreq=control_disabled
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `param-dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.float32'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.
  warnings.warn(message)
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `param-dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.float32'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.
  warnings.warn(message)
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `param-dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.float32'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.
  warnings.warn(message)
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `param-dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.float32'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.
  warnings.warn(message)
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.bfloat16'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.
  warnings.warn(message)
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.bfloat16'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.
  warnings.warn(message)
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.bfloat16'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.
  warnings.warn(message)
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.bfloat16'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.
  warnings.warn(message)
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `param-dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.float32'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.
  warnings.warn(message)
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `param-dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.float32'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.
  warnings.warn(message)
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `param-dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.float32'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.
  warnings.warn(message)
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `param-dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.float32'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.
  warnings.warn(message)
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.bfloat16'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.
  warnings.warn(message)
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.bfloat16'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.
  warnings.warn(message)
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.bfloat16'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.
  warnings.warn(message)
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.bfloat16'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.
  warnings.warn(message)
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `param-dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.float32'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.
  warnings.warn(message)
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `param-dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.float32'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.
  warnings.warn(message)
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `param-dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.float32'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.
  warnings.warn(message)
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `param-dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.float32'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.
  warnings.warn(message)
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.bfloat16'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.
  warnings.warn(message)
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.bfloat16'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.
  warnings.warn(message)
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.bfloat16'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.
  warnings.warn(message)
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.bfloat16'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.
  warnings.warn(message)
2025-08-02 00:26:38.958137: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:26:38.959578: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:26:38.962618: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:26:38.970409: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:26:38.974579: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:26:38.997775: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:26:38.998276: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:26:39.001852: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:26:39.011666: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:26:39.011661: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:26:39.153560: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:26:39.175407: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:27:06.557840: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:27:06.703644: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:27:06.957411: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:27:07.018097: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:27:07.046111: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:27:07.064433: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:27:09.383204: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:27:09.821075: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:27:10.437259: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:27:10.746098: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:27:11.047885: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:27:12.539048: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:27:21.473740: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:27:21.544414: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:27:21.632002: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:27:21.761828: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:27:21.822580: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:27:21.866974: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:27:25.884052: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:27:25.911268: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:27:26.814787: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:27:27.298353: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-02 00:27:27.390338: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
wandb: Currently logged in as: mihir-mahajan2002 (instant-uv) to https://api.wandb.ai. Use `wandb login --relogin` to force relogin
2025-08-02 00:27:29.329157: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
wandb: Tracking run with wandb version 0.19.11
wandb: Run data is saved locally in /hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs_3/wandb/run-20250802_002728-3389801
wandb: Run `wandb offline` to turn off syncing.
wandb: Resuming run dynamics-causal-2-node-3373407
wandb: ⭐️ View project at https://wandb.ai/instant-uv/jafar
wandb: 🚀 View run at https://wandb.ai/instant-uv/jafar/runs/3389801
WARNING:absl:Missing metrics for step 40000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/040000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 40000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/040000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 40000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/040000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 40000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/040000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 39000
WARNING:absl:Missing metrics for step 39000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/039000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/039000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 40000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/040000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 39000
WARNING:absl:Missing metrics for step 40000
WARNING:absl:Missing metrics for step 41000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/041000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/039000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/040000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 40000
WARNING:absl:Missing metrics for step 41000
WARNING:absl:Missing metrics for step 39000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/039000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/041000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 40000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/040000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 41000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/041000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 41000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/041000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/040000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 39000
WARNING:absl:Missing metrics for step 41000
WARNING:absl:Missing metrics for step 39000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/039000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/041000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/039000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 40000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/040000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 40000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/040000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 40000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/040000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 40000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/040000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 41000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/041000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 41000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/041000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 39000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/039000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 39000
WARNING:absl:Missing metrics for step 39000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/039000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/039000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 39000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/039000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 41000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/041000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 41000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/041000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 20000
WARNING:absl:Missing metrics for step 41000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/041000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 20000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/020000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 39000
WARNING:absl:Missing metrics for step 20000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/020000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/039000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 20000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/020000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/020000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 41000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/041000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 41000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/041000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 39000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/039000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 20000
WARNING:absl:Missing metrics for step 20000
WARNING:absl:Missing metrics for step 20000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/020000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/020000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/020000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 20000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/020000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 20000
WARNING:absl:Missing metrics for step 20000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/020000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/020000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 20000
WARNING:absl:Missing metrics for step 20000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/020000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/020000/metrics/metrics not found.
WARNING:absl:Dropping 6 examples of 89394 examples (shard 12).
WARNING:absl:Dropping 6 examples of 89394 examples (shard 12).
WARNING:absl:Dropping 6 examples of 89394 examples (shard 12).
WARNING:absl:Dropping 6 examples of 89394 examples (shard 12).
WARNING:absl:Dropping 6 examples of 89394 examples (shard 12).
WARNING:absl:Dropping 6 examples of 89394 examples (shard 12).
WARNING:absl:Dropping 6 examples of 89394 examples (shard 12).
WARNING:absl:Dropping 6 examples of 89394 examples (shard 12).
Running on 12 devices.
Counting all components: ['tokenizer', 'lam', 'dynamics']
Parameter counts:
{'tokenizer': 33750256, 'lam': 17229792, 'dynamics': 271932416, 'total': 322912464}
Running on 12 devices.
Counting all components: ['tokenizer', 'lam', 'dynamics']
Parameter counts:
{'tokenizer': 33750256, 'lam': 17229792, 'dynamics': 271932416, 'total': 322912464}
Running on 12 devices.
Counting all components: ['tokenizer', 'lam', 'dynamics']
Parameter counts:
{'tokenizer': 33750256, 'lam': 17229792, 'dynamics': 271932416, 'total': 322912464}
Running on 12 devices.
Counting all components: ['tokenizer', 'lam', 'dynamics']
Parameter counts:
{'tokenizer': 33750256, 'lam': 17229792, 'dynamics': 271932416, 'total': 322912464}
Running on 12 devices.
Counting all components: ['tokenizer', 'lam', 'dynamics']
Parameter counts:
{'tokenizer': 33750256, 'lam': 17229792, 'dynamics': 271932416, 'total': 322912464}
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs_3/train_dynamics.py", line 328, in <module>
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs_3/train_dynamics.py", line 328, in <module>
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs_3/train_dynamics.py", line 328, in <module>
    restored = checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    restored = checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    restored = checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs_3/train_dynamics.py", line 328, in <module>
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs_3/train_dynamics.py", line 328, in <module>
    restored = checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    restored = checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
Running on 12 devices.
Counting all components: ['tokenizer', 'lam', 'dynamics']
Parameter counts:
{'tokenizer': 33750256, 'lam': 17229792, 'dynamics': 271932416, 'total': 322912464}
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs_3/train_dynamics.py", line 328, in <module>
    restored = checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
Running on 12 devices.
Counting all components: ['tokenizer', 'lam', 'dynamics']
Parameter counts:
{'tokenizer': 33750256, 'lam': 17229792, 'dynamics': 271932416, 'total': 322912464}
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs_3/train_dynamics.py", line 328, in <module>
    restored = checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/grain/_src/python/checkpoint_handlers.py", line 62, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/grain/_src/python/checkpoint_handlers.py", line 62, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/grain/_src/python/checkpoint_handlers.py", line 62, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/grain/_src/python/checkpoint_handlers.py", line 62, in restore
    raise ValueError(f"File {filename} does not exist.")
ValueError: File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/041000/dataloader_state/process_8-of-12.json does not exist.
    raise ValueError(f"File {filename} does not exist.")
ValueError: File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/041000/dataloader_state/process_9-of-12.json does not exist.
    raise ValueError(f"File {filename} does not exist.")
ValueError: File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/041000/dataloader_state/process_11-of-12.json does not exist.
    raise ValueError(f"File {filename} does not exist.")
ValueError: File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/041000/dataloader_state/process_10-of-12.json does not exist.
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/grain/_src/python/checkpoint_handlers.py", line 62, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/grain/_src/python/checkpoint_handlers.py", line 62, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/grain/_src/python/checkpoint_handlers.py", line 62, in restore
    raise ValueError(f"File {filename} does not exist.")
ValueError: File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/041000/dataloader_state/process_2-of-12.json does not exist.
    raise ValueError(f"File {filename} does not exist.")
ValueError: File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/041000/dataloader_state/process_3-of-12.json does not exist.
    raise ValueError(f"File {filename} does not exist.")
ValueError: File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/041000/dataloader_state/process_1-of-12.json does not exist.
Running on 12 devices.
Counting all components: ['tokenizer', 'lam', 'dynamics']
Parameter counts:
{'tokenizer': 33750256, 'lam': 17229792, 'dynamics': 271932416, 'total': 322912464}
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs_3/train_dynamics.py", line 328, in <module>
    restored = checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/grain/_src/python/checkpoint_handlers.py", line 62, in restore
    raise ValueError(f"File {filename} does not exist.")
ValueError: File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/041000/dataloader_state/process_0-of-12.json does not exist.
wandb: 
wandb: 🚀 View run dynamics-causal-2-node-3373407 at: https://wandb.ai/instant-uv/jafar/runs/3389801
wandb: Find logs at: ../../../../../hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs_3/wandb/run-20250802_002728-3389801/logs
WARNING:absl:Dropping 6 examples of 89394 examples (shard 12).
WARNING:absl:Dropping 6 examples of 89394 examples (shard 12).
WARNING:absl:Dropping 6 examples of 89394 examples (shard 12).
Running on 12 devices.
Counting all components: ['tokenizer', 'lam', 'dynamics']
Parameter counts:
{'tokenizer': 33750256, 'lam': 17229792, 'dynamics': 271932416, 'total': 322912464}
Running on 12 devices.
Counting all components: ['tokenizer', 'lam', 'dynamics']
Parameter counts:
{'tokenizer': 33750256, 'lam': 17229792, 'dynamics': 271932416, 'total': 322912464}
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs_3/train_dynamics.py", line 328, in <module>
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs_3/train_dynamics.py", line 328, in <module>
    restored = checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    restored = checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
Running on 12 devices.
Counting all components: ['tokenizer', 'lam', 'dynamics']
Parameter counts:
{'tokenizer': 33750256, 'lam': 17229792, 'dynamics': 271932416, 'total': 322912464}
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs_3/train_dynamics.py", line 328, in <module>
    restored = checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/grain/_src/python/checkpoint_handlers.py", line 62, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/grain/_src/python/checkpoint_handlers.py", line 62, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/grain/_src/python/checkpoint_handlers.py", line 62, in restore
    raise ValueError(f"File {filename} does not exist.")
ValueError: File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/041000/dataloader_state/process_4-of-12.json does not exist.
    raise ValueError(f"File {filename} does not exist.")
ValueError: File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/041000/dataloader_state/process_5-of-12.json does not exist.
    raise ValueError(f"File {filename} does not exist.")
ValueError: File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/041000/dataloader_state/process_6-of-12.json does not exist.
WARNING:absl:Dropping 6 examples of 89394 examples (shard 12).
Running on 12 devices.
Counting all components: ['tokenizer', 'lam', 'dynamics']
Parameter counts:
{'tokenizer': 33750256, 'lam': 17229792, 'dynamics': 271932416, 'total': 322912464}
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs_3/train_dynamics.py", line 328, in <module>
    restored = checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/grain/_src/python/checkpoint_handlers.py", line 62, in restore
    raise ValueError(f"File {filename} does not exist.")
ValueError: File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/causal/train_dynamics_causal_2_node/3373407/041000/dataloader_state/process_7-of-12.json does not exist.
srun: error: hkn0528: tasks 5-6: Exited with exit code 1
srun: error: hkn0529: tasks 8-10: Exited with exit code 1
srun: error: hkn0524: tasks 0-2: Exited with exit code 1
srun: error: hkn0528: tasks 4,7: Exited with exit code 1
srun: error: hkn0529: task 11: Exited with exit code 1
srun: error: hkn0524: task 3: Exited with exit code 1

============================= JOB FEEDBACK =============================

Job ID: 3389801
Cluster: hk
User/Group: tum_cte0515/hk-project-p0023960
Account: hk-project-p0023960
State: FAILED (exit code 1)
Partition: accelerated
Nodes: 3
Cores per node: 24
Nodelist: hkn[0524,0528-0529]
CPU Utilized: 00:28:46
CPU Efficiency: 11.87% of 04:02:24 core-walltime
Job Wall-clock time: 00:03:22
Starttime: Sat Aug  2 00:25:45 2025
Endtime: Sat Aug  2 00:29:07 2025
Memory Utilized: 60.81 GB (estimated maximum)
Memory Efficiency: 0.00% of 0.00 MB (0.00 MB/node)
Energy Consumed: 1234036 Joule / 342.787777777778 Watthours
Average node power draw: 6109.08910891089 Watt