Sentry_image_models
/
convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1
/20230606_051640
/20230606_051640.log
| 2023/06/06 05:16:45 - mmengine - INFO - | |
| ------------------------------------------------------------ | |
| System environment: | |
| sys.platform: linux | |
| Python: 3.10.9 (main, Mar 8 2023, 10:47:38) [GCC 11.2.0] | |
| CUDA available: True | |
| numpy_random_seed: 129913838 | |
| GPU 0,1,2,3: NVIDIA A100-SXM4-80GB | |
| CUDA_HOME: /mnt/petrelfs/share/cuda-11.6 | |
| NVCC: Cuda compilation tools, release 11.6, V11.6.124 | |
| GCC: gcc (GCC) 7.5.0 | |
| PyTorch: 1.13.1 | |
| PyTorch compiling details: PyTorch built with: | |
| - GCC 9.3 | |
| - C++ Version: 201402 | |
| - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications | |
| - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) | |
| - OpenMP 201511 (a.k.a. OpenMP 4.5) | |
| - LAPACK is enabled (usually provided by MKL) | |
| - NNPACK is enabled | |
| - CPU capability usage: AVX2 | |
| - CUDA Runtime 11.6 | |
| - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 | |
| - CuDNN 8.3.2 (built against CUDA 11.5) | |
| - Magma 2.6.1 | |
| - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, | |
| TorchVision: 0.14.1 | |
| OpenCV: 4.7.0 | |
| MMEngine: 0.7.3 | |
| Runtime environment: | |
| cudnn_benchmark: True | |
| mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} | |
| dist_cfg: {'backend': 'nccl'} | |
| seed: None | |
| deterministic: False | |
| Distributed launcher: slurm | |
| Distributed training: True | |
| GPU number: 4 | |
| ------------------------------------------------------------ | |
| 2023/06/06 05:16:48 - mmengine - INFO - Config: | |
| optim_wrapper = dict( | |
| optimizer=dict( | |
| type='AdamW', | |
| lr=0.0004, | |
| weight_decay=0.05, | |
| eps=1e-08, | |
| betas=(0.9, 0.999), | |
| _scope_='mmpretrain'), | |
| paramwise_cfg=dict( | |
| norm_decay_mult=0.0, | |
| bias_decay_mult=0.0, | |
| flat_decay_mult=0.0, | |
| custom_keys=dict({ | |
| '.absolute_pos_embed': dict(decay_mult=0.0), | |
| '.relative_position_bias_table': dict(decay_mult=0.0) | |
| })), | |
| type='AmpOptimWrapper', | |
| dtype='bfloat16', | |
| clip_grad=None) | |
| param_scheduler = [ | |
| dict(type='CosineAnnealingLR', eta_min=1e-05, by_epoch=False, begin=0) | |
| ] | |
| train_cfg = dict(by_epoch=True, max_epochs=10, val_interval=1) | |
| val_cfg = dict() | |
| test_cfg = dict() | |
| auto_scale_lr = dict(base_batch_size=4096) | |
| model = dict( | |
| type='ImageClassifier', | |
| backbone=dict( | |
| frozen_stages=2, | |
| type='ConvNeXt', | |
| arch='small', | |
| drop_path_rate=0.4, | |
| init_cfg=dict( | |
| type='Pretrained', | |
| checkpoint= | |
| 'https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth', | |
| prefix='backbone')), | |
| head=dict( | |
| type='LinearClsHead', | |
| num_classes=2, | |
| in_channels=768, | |
| loss=dict(type='CrossEntropyLoss', loss_weight=1.0), | |
| init_cfg=None), | |
| init_cfg=dict( | |
| type='TruncNormal', layer=['Conv2d', 'Linear'], std=0.02, bias=0.0), | |
| train_cfg=None) | |
| dataset_type = 'CustomDataset' | |
| data_preprocessor = dict( | |
| num_classes=2, | |
| mean=[123.675, 116.28, 103.53], | |
| std=[58.395, 57.12, 57.375], | |
| to_rgb=True) | |
| bgr_mean = [103.53, 116.28, 123.675] | |
| bgr_std = [57.375, 57.12, 58.395] | |
| train_pipeline = [ | |
| dict(type='LoadImageFromFile'), | |
| dict( | |
| type='RandomResizedCrop', | |
| scale=224, | |
| backend='pillow', | |
| interpolation='bicubic'), | |
| dict(type='RandomFlip', prob=0.5, direction='horizontal'), | |
| dict(type='JPEG', compress_val=65, prob=0.5), | |
| dict(type='GaussianBlur', radius=1.5, prob=0.5), | |
| dict(type='PackInputs') | |
| ] | |
| test_pipeline = [ | |
| dict(type='LoadImageFromFile'), | |
| dict( | |
| type='ResizeEdge', | |
| scale=256, | |
| edge='short', | |
| backend='pillow', | |
| interpolation='bicubic'), | |
| dict(type='CenterCrop', crop_size=224), | |
| dict(type='PackInputs') | |
| ] | |
| train_dataloader = dict( | |
| pin_memory=True, | |
| persistent_workers=True, | |
| collate_fn=dict(type='default_collate'), | |
| batch_size=256, | |
| num_workers=10, | |
| dataset=dict( | |
| type='ConcatDataset', | |
| datasets=[ | |
| dict( | |
| type='CustomDataset', | |
| data_root='/mnt/petrelfs/luzeyu/workspace/fakebench/dataset', | |
| ann_file= | |
| '/mnt/petrelfs/luzeyu/workspace/fakebench/dataset/meta/train/IF80w.csv', | |
| pipeline=[ | |
| dict(type='LoadImageFromFile'), | |
| dict( | |
| type='RandomResizedCrop', | |
| scale=224, | |
| backend='pillow', | |
| interpolation='bicubic'), | |
| dict(type='RandomFlip', prob=0.5, direction='horizontal'), | |
| dict(type='JPEG', compress_val=65, prob=0.5), | |
| dict(type='GaussianBlur', radius=1.5, prob=0.5), | |
| dict(type='PackInputs') | |
| ]), | |
| dict( | |
| type='CustomDataset', | |
| data_root='/mnt/petrelfs/luzeyu/workspace/fakebench/dataset', | |
| ann_file= | |
| '/mnt/petrelfs/luzeyu/workspace/fakebench/dataset/meta/train/if-dpmsolver++-50-20w.tsv', | |
| pipeline=[ | |
| dict(type='LoadImageFromFile'), | |
| dict( | |
| type='RandomResizedCrop', | |
| scale=224, | |
| backend='pillow', | |
| interpolation='bicubic'), | |
| dict(type='RandomFlip', prob=0.5, direction='horizontal'), | |
| dict(type='JPEG', compress_val=65, prob=0.5), | |
| dict(type='GaussianBlur', radius=1.5, prob=0.5), | |
| dict(type='PackInputs') | |
| ]), | |
| dict( | |
| type='CustomDataset', | |
| data_root='', | |
| ann_file= | |
| '/mnt/petrelfs/luzeyu/workspace/fakebench/dataset/meta/train/cc1m.csv', | |
| pipeline=[ | |
| dict(type='LoadImageFromFile'), | |
| dict( | |
| type='RandomResizedCrop', | |
| scale=224, | |
| backend='pillow', | |
| interpolation='bicubic'), | |
| dict(type='RandomFlip', prob=0.5, direction='horizontal'), | |
| dict(type='JPEG', compress_val=65, prob=0.5), | |
| dict(type='GaussianBlur', radius=1.5, prob=0.5), | |
| dict(type='PackInputs') | |
| ]) | |
| ]), | |
| sampler=dict(type='DefaultSampler', shuffle=True)) | |
| val_dataloader = dict( | |
| pin_memory=True, | |
| persistent_workers=True, | |
| collate_fn=dict(type='default_collate'), | |
| batch_size=256, | |
| num_workers=10, | |
| dataset=dict( | |
| type='ConcatDataset', | |
| datasets=[ | |
| dict( | |
| type='CustomDataset', | |
| data_root='/mnt/petrelfs/luzeyu/workspace/fakebench/dataset', | |
| ann_file= | |
| '/mnt/petrelfs/luzeyu/workspace/fakebench/dataset/meta/val/if-dpmsolver++-25-1w.tsv', | |
| pipeline=[ | |
| dict(type='LoadImageFromFile'), | |
| dict( | |
| type='RandomResizedCrop', | |
| scale=224, | |
| backend='pillow', | |
| interpolation='bicubic'), | |
| dict(type='RandomFlip', prob=0.5, direction='horizontal'), | |
| dict(type='JPEG', compress_val=65, prob=0.5), | |
| dict(type='GaussianBlur', radius=1.5, prob=0.5), | |
| dict(type='PackInputs') | |
| ]), | |
| dict( | |
| type='CustomDataset', | |
| data_root='', | |
| ann_file= | |
| '/mnt/petrelfs/luzeyu/workspace/fakebench/dataset/meta/val/cc1w.csv', | |
| pipeline=[ | |
| dict(type='LoadImageFromFile'), | |
| dict( | |
| type='RandomResizedCrop', | |
| scale=224, | |
| backend='pillow', | |
| interpolation='bicubic'), | |
| dict(type='RandomFlip', prob=0.5, direction='horizontal'), | |
| dict(type='JPEG', compress_val=65, prob=0.5), | |
| dict(type='GaussianBlur', radius=1.5, prob=0.5), | |
| dict(type='PackInputs') | |
| ]) | |
| ]), | |
| sampler=dict(type='DefaultSampler', shuffle=False)) | |
| val_evaluator = [ | |
| dict(type='Accuracy', topk=1), | |
| dict(type='SingleLabelMetric', average=None) | |
| ] | |
| test_dataloader = dict( | |
| pin_memory=True, | |
| persistent_workers=True, | |
| collate_fn=dict(type='default_collate'), | |
| batch_size=256, | |
| num_workers=10, | |
| dataset=dict( | |
| type='ConcatDataset', | |
| datasets=[ | |
| dict( | |
| type='CustomDataset', | |
| data_root='/mnt/petrelfs/luzeyu/workspace/fakebench/dataset', | |
| ann_file= | |
| '/mnt/petrelfs/luzeyu/workspace/fakebench/dataset/meta/val/if-dpmsolver++-25-1w.tsv', | |
| pipeline=[ | |
| dict(type='LoadImageFromFile'), | |
| dict( | |
| type='RandomResizedCrop', | |
| scale=224, | |
| backend='pillow', | |
| interpolation='bicubic'), | |
| dict(type='RandomFlip', prob=0.5, direction='horizontal'), | |
| dict(type='JPEG', compress_val=65, prob=0.5), | |
| dict(type='GaussianBlur', radius=1.5, prob=0.5), | |
| dict(type='PackInputs') | |
| ]), | |
| dict( | |
| type='CustomDataset', | |
| data_root='', | |
| ann_file= | |
| '/mnt/petrelfs/luzeyu/workspace/fakebench/dataset/meta/val/cc1w.csv', | |
| pipeline=[ | |
| dict(type='LoadImageFromFile'), | |
| dict( | |
| type='RandomResizedCrop', | |
| scale=224, | |
| backend='pillow', | |
| interpolation='bicubic'), | |
| dict(type='RandomFlip', prob=0.5, direction='horizontal'), | |
| dict(type='JPEG', compress_val=65, prob=0.5), | |
| dict(type='GaussianBlur', radius=1.5, prob=0.5), | |
| dict(type='PackInputs') | |
| ]) | |
| ]), | |
| sampler=dict(type='DefaultSampler', shuffle=False)) | |
| test_evaluator = [ | |
| dict(type='Accuracy', topk=1), | |
| dict(type='SingleLabelMetric', average=None) | |
| ] | |
| custom_hooks = [dict(type='EMAHook', momentum=0.0001, priority='ABOVE_NORMAL')] | |
| default_scope = 'mmpretrain' | |
| default_hooks = dict( | |
| timer=dict(type='IterTimerHook'), | |
| logger=dict(type='LoggerHook', interval=100), | |
| param_scheduler=dict(type='ParamSchedulerHook'), | |
| checkpoint=dict(type='CheckpointHook', interval=1), | |
| sampler_seed=dict(type='DistSamplerSeedHook'), | |
| visualization=dict(type='VisualizationHook', enable=True)) | |
| env_cfg = dict( | |
| cudnn_benchmark=True, | |
| mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0), | |
| dist_cfg=dict(backend='nccl')) | |
| vis_backends = [dict(type='LocalVisBackend')] | |
| visualizer = dict( | |
| type='UniversalVisualizer', | |
| vis_backends=[ | |
| dict(type='LocalVisBackend'), | |
| dict(type='TensorboardVisBackend') | |
| ]) | |
| log_level = 'INFO' | |
| load_from = None | |
| resume = False | |
| randomness = dict(seed=None, deterministic=False) | |
| launcher = 'slurm' | |
| work_dir = 'workdir/convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1' | |
| 2023/06/06 05:16:59 - mmengine - INFO - Hooks will be executed in the following order: | |
| before_run: | |
| (VERY_HIGH ) RuntimeInfoHook | |
| (ABOVE_NORMAL) EMAHook | |
| (BELOW_NORMAL) LoggerHook | |
| -------------------- | |
| after_load_checkpoint: | |
| (ABOVE_NORMAL) EMAHook | |
| -------------------- | |
| before_train: | |
| (VERY_HIGH ) RuntimeInfoHook | |
| (ABOVE_NORMAL) EMAHook | |
| (NORMAL ) IterTimerHook | |
| (VERY_LOW ) CheckpointHook | |
| -------------------- | |
| before_train_epoch: | |
| (VERY_HIGH ) RuntimeInfoHook | |
| (NORMAL ) IterTimerHook | |
| (NORMAL ) DistSamplerSeedHook | |
| -------------------- | |
| before_train_iter: | |
| (VERY_HIGH ) RuntimeInfoHook | |
| (NORMAL ) IterTimerHook | |
| -------------------- | |
| after_train_iter: | |
| (VERY_HIGH ) RuntimeInfoHook | |
| (ABOVE_NORMAL) EMAHook | |
| (NORMAL ) IterTimerHook | |
| (BELOW_NORMAL) LoggerHook | |
| (LOW ) ParamSchedulerHook | |
| (VERY_LOW ) CheckpointHook | |
| -------------------- | |
| after_train_epoch: | |
| (NORMAL ) IterTimerHook | |
| (LOW ) ParamSchedulerHook | |
| (VERY_LOW ) CheckpointHook | |
| -------------------- | |
| before_val_epoch: | |
| (ABOVE_NORMAL) EMAHook | |
| (NORMAL ) IterTimerHook | |
| -------------------- | |
| before_val_iter: | |
| (NORMAL ) IterTimerHook | |
| -------------------- | |
| after_val_iter: | |
| (NORMAL ) IterTimerHook | |
| (NORMAL ) VisualizationHook | |
| (BELOW_NORMAL) LoggerHook | |
| -------------------- | |
| after_val_epoch: | |
| (VERY_HIGH ) RuntimeInfoHook | |
| (ABOVE_NORMAL) EMAHook | |
| (NORMAL ) IterTimerHook | |
| (BELOW_NORMAL) LoggerHook | |
| (LOW ) ParamSchedulerHook | |
| (VERY_LOW ) CheckpointHook | |
| -------------------- | |
| before_save_checkpoint: | |
| (ABOVE_NORMAL) EMAHook | |
| -------------------- | |
| after_train: | |
| (VERY_LOW ) CheckpointHook | |
| -------------------- | |
| before_test_epoch: | |
| (ABOVE_NORMAL) EMAHook | |
| (NORMAL ) IterTimerHook | |
| -------------------- | |
| before_test_iter: | |
| (NORMAL ) IterTimerHook | |
| -------------------- | |
| after_test_iter: | |
| (NORMAL ) IterTimerHook | |
| (NORMAL ) VisualizationHook | |
| (BELOW_NORMAL) LoggerHook | |
| -------------------- | |
| after_test_epoch: | |
| (VERY_HIGH ) RuntimeInfoHook | |
| (ABOVE_NORMAL) EMAHook | |
| (NORMAL ) IterTimerHook | |
| (BELOW_NORMAL) LoggerHook | |
| -------------------- | |
| after_run: | |
| (BELOW_NORMAL) LoggerHook | |
| -------------------- | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.downsample_layers.2.0.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.downsample_layers.2.0.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.downsample_layers.2.1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.downsample_layers.3.0.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.downsample_layers.3.0.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.downsample_layers.3.1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.0.gamma:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.0.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.0.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.0.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.0.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.0.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.1.gamma:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.1.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.1.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.1.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.1.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.1.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.2.gamma:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.2.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.2.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.2.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.2.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.2.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.3.gamma:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.3.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.3.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.3.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.3.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.3.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.4.gamma:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.4.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.4.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.4.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.4.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.4.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.5.gamma:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.5.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.5.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.5.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.5.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.5.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.6.gamma:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.6.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.6.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.6.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.6.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.6.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.7.gamma:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.7.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.7.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.7.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.7.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.7.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.8.gamma:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.8.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.8.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.8.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.8.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.8.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.9.gamma:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.9.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.9.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.9.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.9.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.9.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.10.gamma:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.10.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.10.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.10.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.10.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.10.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.11.gamma:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.11.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.11.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.11.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.11.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.11.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.12.gamma:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.12.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.12.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.12.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.12.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.12.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.13.gamma:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.13.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.13.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.13.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.13.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.13.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.14.gamma:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.14.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.14.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.14.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.14.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.14.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.15.gamma:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.15.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.15.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.15.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.15.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.15.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.16.gamma:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.16.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.16.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.16.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.16.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.16.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.17.gamma:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.17.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.17.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.17.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.17.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.17.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.18.gamma:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.18.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.18.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.18.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.18.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.18.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.19.gamma:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.19.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.19.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.19.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.19.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.19.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.20.gamma:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.20.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.20.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.20.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.20.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.20.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.21.gamma:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.21.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.21.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.21.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.21.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.21.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.22.gamma:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.22.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.22.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.22.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.22.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.22.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.23.gamma:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.23.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.23.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.23.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.23.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.23.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.24.gamma:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.24.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.24.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.24.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.24.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.24.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.25.gamma:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.25.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.25.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.25.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.25.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.25.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.26.gamma:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.26.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.26.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.26.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.26.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.2.26.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.3.0.gamma:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.3.0.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.3.0.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.3.0.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.3.0.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.3.0.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.3.1.gamma:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.3.1.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.3.1.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.3.1.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.3.1.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.3.1.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.3.2.gamma:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.3.2.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.3.2.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.3.2.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.3.2.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.stages.3.2.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.norm3.weight:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- backbone.norm3.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:12 - mmengine - INFO - paramwise_options -- head.fc.bias:weight_decay=0.0 | |
| 2023/06/06 05:17:17 - mmengine - INFO - load backbone in model from: https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| Name of parameter - Initialization information | |
| backbone.downsample_layers.0.0.weight - torch.Size([96, 3, 4, 4]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.downsample_layers.0.0.bias - torch.Size([96]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.downsample_layers.0.1.weight - torch.Size([96]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.downsample_layers.0.1.bias - torch.Size([96]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.downsample_layers.1.0.weight - torch.Size([96]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.downsample_layers.1.0.bias - torch.Size([96]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.downsample_layers.1.1.weight - torch.Size([192, 96, 2, 2]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.downsample_layers.1.1.bias - torch.Size([192]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.downsample_layers.2.0.weight - torch.Size([192]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.downsample_layers.2.0.bias - torch.Size([192]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.downsample_layers.2.1.weight - torch.Size([384, 192, 2, 2]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.downsample_layers.2.1.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.downsample_layers.3.0.weight - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.downsample_layers.3.0.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.downsample_layers.3.1.weight - torch.Size([768, 384, 2, 2]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.downsample_layers.3.1.bias - torch.Size([768]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.0.0.gamma - torch.Size([96]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.0.0.depthwise_conv.weight - torch.Size([96, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.0.0.depthwise_conv.bias - torch.Size([96]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.0.0.norm.weight - torch.Size([96]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.0.0.norm.bias - torch.Size([96]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.0.0.pointwise_conv1.weight - torch.Size([384, 96]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.0.0.pointwise_conv1.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.0.0.pointwise_conv2.weight - torch.Size([96, 384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.0.0.pointwise_conv2.bias - torch.Size([96]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.0.1.gamma - torch.Size([96]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.0.1.depthwise_conv.weight - torch.Size([96, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.0.1.depthwise_conv.bias - torch.Size([96]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.0.1.norm.weight - torch.Size([96]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.0.1.norm.bias - torch.Size([96]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.0.1.pointwise_conv1.weight - torch.Size([384, 96]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.0.1.pointwise_conv1.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.0.1.pointwise_conv2.weight - torch.Size([96, 384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.0.1.pointwise_conv2.bias - torch.Size([96]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.0.2.gamma - torch.Size([96]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.0.2.depthwise_conv.weight - torch.Size([96, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.0.2.depthwise_conv.bias - torch.Size([96]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.0.2.norm.weight - torch.Size([96]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.0.2.norm.bias - torch.Size([96]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.0.2.pointwise_conv1.weight - torch.Size([384, 96]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.0.2.pointwise_conv1.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.0.2.pointwise_conv2.weight - torch.Size([96, 384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.0.2.pointwise_conv2.bias - torch.Size([96]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.1.0.gamma - torch.Size([192]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.1.0.depthwise_conv.weight - torch.Size([192, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.1.0.depthwise_conv.bias - torch.Size([192]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.1.0.norm.weight - torch.Size([192]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.1.0.norm.bias - torch.Size([192]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.1.0.pointwise_conv1.weight - torch.Size([768, 192]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.1.0.pointwise_conv1.bias - torch.Size([768]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.1.0.pointwise_conv2.weight - torch.Size([192, 768]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.1.0.pointwise_conv2.bias - torch.Size([192]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.1.1.gamma - torch.Size([192]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.1.1.depthwise_conv.weight - torch.Size([192, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.1.1.depthwise_conv.bias - torch.Size([192]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.1.1.norm.weight - torch.Size([192]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.1.1.norm.bias - torch.Size([192]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.1.1.pointwise_conv1.weight - torch.Size([768, 192]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.1.1.pointwise_conv1.bias - torch.Size([768]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.1.1.pointwise_conv2.weight - torch.Size([192, 768]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.1.1.pointwise_conv2.bias - torch.Size([192]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.1.2.gamma - torch.Size([192]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.1.2.depthwise_conv.weight - torch.Size([192, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.1.2.depthwise_conv.bias - torch.Size([192]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.1.2.norm.weight - torch.Size([192]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.1.2.norm.bias - torch.Size([192]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.1.2.pointwise_conv1.weight - torch.Size([768, 192]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.1.2.pointwise_conv1.bias - torch.Size([768]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.1.2.pointwise_conv2.weight - torch.Size([192, 768]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.1.2.pointwise_conv2.bias - torch.Size([192]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.0.gamma - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.0.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.0.depthwise_conv.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.0.norm.weight - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.0.norm.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.0.pointwise_conv1.weight - torch.Size([1536, 384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.0.pointwise_conv1.bias - torch.Size([1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.0.pointwise_conv2.weight - torch.Size([384, 1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.0.pointwise_conv2.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.1.gamma - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.1.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.1.depthwise_conv.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.1.norm.weight - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.1.norm.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.1.pointwise_conv1.weight - torch.Size([1536, 384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.1.pointwise_conv1.bias - torch.Size([1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.1.pointwise_conv2.weight - torch.Size([384, 1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.1.pointwise_conv2.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.2.gamma - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.2.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.2.depthwise_conv.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.2.norm.weight - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.2.norm.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.2.pointwise_conv1.weight - torch.Size([1536, 384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.2.pointwise_conv1.bias - torch.Size([1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.2.pointwise_conv2.weight - torch.Size([384, 1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.2.pointwise_conv2.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.3.gamma - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.3.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.3.depthwise_conv.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.3.norm.weight - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.3.norm.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.3.pointwise_conv1.weight - torch.Size([1536, 384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.3.pointwise_conv1.bias - torch.Size([1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.3.pointwise_conv2.weight - torch.Size([384, 1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.3.pointwise_conv2.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.4.gamma - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.4.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.4.depthwise_conv.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.4.norm.weight - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.4.norm.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.4.pointwise_conv1.weight - torch.Size([1536, 384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.4.pointwise_conv1.bias - torch.Size([1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.4.pointwise_conv2.weight - torch.Size([384, 1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.4.pointwise_conv2.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.5.gamma - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.5.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.5.depthwise_conv.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.5.norm.weight - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.5.norm.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.5.pointwise_conv1.weight - torch.Size([1536, 384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.5.pointwise_conv1.bias - torch.Size([1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.5.pointwise_conv2.weight - torch.Size([384, 1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.5.pointwise_conv2.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.6.gamma - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.6.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.6.depthwise_conv.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.6.norm.weight - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.6.norm.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.6.pointwise_conv1.weight - torch.Size([1536, 384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.6.pointwise_conv1.bias - torch.Size([1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.6.pointwise_conv2.weight - torch.Size([384, 1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.6.pointwise_conv2.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.7.gamma - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.7.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.7.depthwise_conv.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.7.norm.weight - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.7.norm.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.7.pointwise_conv1.weight - torch.Size([1536, 384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.7.pointwise_conv1.bias - torch.Size([1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.7.pointwise_conv2.weight - torch.Size([384, 1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.7.pointwise_conv2.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.8.gamma - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.8.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.8.depthwise_conv.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.8.norm.weight - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.8.norm.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.8.pointwise_conv1.weight - torch.Size([1536, 384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.8.pointwise_conv1.bias - torch.Size([1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.8.pointwise_conv2.weight - torch.Size([384, 1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.8.pointwise_conv2.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.9.gamma - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.9.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.9.depthwise_conv.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.9.norm.weight - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.9.norm.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.9.pointwise_conv1.weight - torch.Size([1536, 384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.9.pointwise_conv1.bias - torch.Size([1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.9.pointwise_conv2.weight - torch.Size([384, 1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.9.pointwise_conv2.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.10.gamma - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.10.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.10.depthwise_conv.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.10.norm.weight - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.10.norm.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.10.pointwise_conv1.weight - torch.Size([1536, 384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.10.pointwise_conv1.bias - torch.Size([1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.10.pointwise_conv2.weight - torch.Size([384, 1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.10.pointwise_conv2.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.11.gamma - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.11.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.11.depthwise_conv.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.11.norm.weight - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.11.norm.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.11.pointwise_conv1.weight - torch.Size([1536, 384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.11.pointwise_conv1.bias - torch.Size([1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.11.pointwise_conv2.weight - torch.Size([384, 1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.11.pointwise_conv2.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.12.gamma - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.12.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.12.depthwise_conv.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.12.norm.weight - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.12.norm.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.12.pointwise_conv1.weight - torch.Size([1536, 384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.12.pointwise_conv1.bias - torch.Size([1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.12.pointwise_conv2.weight - torch.Size([384, 1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.12.pointwise_conv2.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.13.gamma - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.13.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.13.depthwise_conv.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.13.norm.weight - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.13.norm.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.13.pointwise_conv1.weight - torch.Size([1536, 384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.13.pointwise_conv1.bias - torch.Size([1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.13.pointwise_conv2.weight - torch.Size([384, 1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.13.pointwise_conv2.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.14.gamma - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.14.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.14.depthwise_conv.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.14.norm.weight - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.14.norm.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.14.pointwise_conv1.weight - torch.Size([1536, 384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.14.pointwise_conv1.bias - torch.Size([1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.14.pointwise_conv2.weight - torch.Size([384, 1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.14.pointwise_conv2.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.15.gamma - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.15.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.15.depthwise_conv.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.15.norm.weight - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.15.norm.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.15.pointwise_conv1.weight - torch.Size([1536, 384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.15.pointwise_conv1.bias - torch.Size([1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.15.pointwise_conv2.weight - torch.Size([384, 1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.15.pointwise_conv2.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.16.gamma - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.16.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.16.depthwise_conv.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.16.norm.weight - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.16.norm.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.16.pointwise_conv1.weight - torch.Size([1536, 384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.16.pointwise_conv1.bias - torch.Size([1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.16.pointwise_conv2.weight - torch.Size([384, 1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.16.pointwise_conv2.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.17.gamma - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.17.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.17.depthwise_conv.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.17.norm.weight - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.17.norm.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.17.pointwise_conv1.weight - torch.Size([1536, 384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.17.pointwise_conv1.bias - torch.Size([1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.17.pointwise_conv2.weight - torch.Size([384, 1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.17.pointwise_conv2.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.18.gamma - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.18.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.18.depthwise_conv.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.18.norm.weight - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.18.norm.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.18.pointwise_conv1.weight - torch.Size([1536, 384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.18.pointwise_conv1.bias - torch.Size([1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.18.pointwise_conv2.weight - torch.Size([384, 1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.18.pointwise_conv2.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.19.gamma - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.19.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.19.depthwise_conv.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.19.norm.weight - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.19.norm.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.19.pointwise_conv1.weight - torch.Size([1536, 384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.19.pointwise_conv1.bias - torch.Size([1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.19.pointwise_conv2.weight - torch.Size([384, 1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.19.pointwise_conv2.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.20.gamma - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.20.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.20.depthwise_conv.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.20.norm.weight - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.20.norm.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.20.pointwise_conv1.weight - torch.Size([1536, 384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.20.pointwise_conv1.bias - torch.Size([1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.20.pointwise_conv2.weight - torch.Size([384, 1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.20.pointwise_conv2.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.21.gamma - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.21.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.21.depthwise_conv.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.21.norm.weight - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.21.norm.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.21.pointwise_conv1.weight - torch.Size([1536, 384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.21.pointwise_conv1.bias - torch.Size([1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.21.pointwise_conv2.weight - torch.Size([384, 1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.21.pointwise_conv2.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.22.gamma - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.22.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.22.depthwise_conv.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.22.norm.weight - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.22.norm.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.22.pointwise_conv1.weight - torch.Size([1536, 384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.22.pointwise_conv1.bias - torch.Size([1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.22.pointwise_conv2.weight - torch.Size([384, 1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.22.pointwise_conv2.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.23.gamma - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.23.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.23.depthwise_conv.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.23.norm.weight - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.23.norm.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.23.pointwise_conv1.weight - torch.Size([1536, 384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.23.pointwise_conv1.bias - torch.Size([1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.23.pointwise_conv2.weight - torch.Size([384, 1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.23.pointwise_conv2.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.24.gamma - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.24.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.24.depthwise_conv.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.24.norm.weight - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.24.norm.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.24.pointwise_conv1.weight - torch.Size([1536, 384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.24.pointwise_conv1.bias - torch.Size([1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.24.pointwise_conv2.weight - torch.Size([384, 1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.24.pointwise_conv2.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.25.gamma - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.25.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.25.depthwise_conv.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.25.norm.weight - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.25.norm.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.25.pointwise_conv1.weight - torch.Size([1536, 384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.25.pointwise_conv1.bias - torch.Size([1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.25.pointwise_conv2.weight - torch.Size([384, 1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.25.pointwise_conv2.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.26.gamma - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.26.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.26.depthwise_conv.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.26.norm.weight - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.26.norm.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.26.pointwise_conv1.weight - torch.Size([1536, 384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.26.pointwise_conv1.bias - torch.Size([1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.26.pointwise_conv2.weight - torch.Size([384, 1536]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.2.26.pointwise_conv2.bias - torch.Size([384]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.3.0.gamma - torch.Size([768]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.3.0.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.3.0.depthwise_conv.bias - torch.Size([768]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.3.0.norm.weight - torch.Size([768]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.3.0.norm.bias - torch.Size([768]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.3.0.pointwise_conv1.weight - torch.Size([3072, 768]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.3.0.pointwise_conv1.bias - torch.Size([3072]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.3.0.pointwise_conv2.weight - torch.Size([768, 3072]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.3.0.pointwise_conv2.bias - torch.Size([768]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.3.1.gamma - torch.Size([768]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.3.1.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.3.1.depthwise_conv.bias - torch.Size([768]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.3.1.norm.weight - torch.Size([768]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.3.1.norm.bias - torch.Size([768]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.3.1.pointwise_conv1.weight - torch.Size([3072, 768]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.3.1.pointwise_conv1.bias - torch.Size([3072]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.3.1.pointwise_conv2.weight - torch.Size([768, 3072]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.3.1.pointwise_conv2.bias - torch.Size([768]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.3.2.gamma - torch.Size([768]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.3.2.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.3.2.depthwise_conv.bias - torch.Size([768]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.3.2.norm.weight - torch.Size([768]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.3.2.norm.bias - torch.Size([768]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.3.2.pointwise_conv1.weight - torch.Size([3072, 768]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.3.2.pointwise_conv1.bias - torch.Size([3072]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.3.2.pointwise_conv2.weight - torch.Size([768, 3072]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.stages.3.2.pointwise_conv2.bias - torch.Size([768]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.norm3.weight - torch.Size([768]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| backbone.norm3.bias - torch.Size([768]): | |
| PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
| head.fc.weight - torch.Size([2, 768]): | |
| TruncNormalInit: a=-2, b=2, mean=0, std=0.02, bias=0.0 | |
| head.fc.bias - torch.Size([2]): | |
| TruncNormalInit: a=-2, b=2, mean=0, std=0.02, bias=0.0 | |
| 2023/06/06 05:17:17 - mmengine - WARNING - "FileClient" will be deprecated in future. Please use io functions in https://mmengine.readthedocs.io/en/latest/api/fileio.html#file-io | |
| 2023/06/06 05:17:17 - mmengine - WARNING - "HardDiskBackend" is the alias of "LocalBackend" and the former will be deprecated in future. | |
| 2023/06/06 05:17:17 - mmengine - INFO - Checkpoints will be saved to /mnt/petrelfs/luzeyu/workspace/fakebench/mmpretrain/workdir/convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1. | |
| 2023/06/06 05:18:29 - mmengine - INFO - Epoch(train) [1][ 100/1969] lr: 3.9998e-04 eta: 3:57:07 time: 0.6124 data_time: 0.0017 memory: 15587 loss: 0.0946 | |
| 2023/06/06 05:19:44 - mmengine - INFO - Epoch(train) [1][ 200/1969] lr: 3.9990e-04 eta: 3:58:12 time: 0.6957 data_time: 0.0297 memory: 15587 loss: 0.0585 | |
| 2023/06/06 05:20:56 - mmengine - INFO - Epoch(train) [1][ 300/1969] lr: 3.9978e-04 eta: 3:56:20 time: 0.6685 data_time: 0.0017 memory: 15587 loss: 0.0583 | |
| 2023/06/06 05:22:01 - mmengine - INFO - Epoch(train) [1][ 400/1969] lr: 3.9960e-04 eta: 3:48:19 time: 0.6553 data_time: 0.0017 memory: 15587 loss: 0.0593 | |
| 2023/06/06 05:23:07 - mmengine - INFO - Epoch(train) [1][ 500/1969] lr: 3.9938e-04 eta: 3:44:08 time: 0.6385 data_time: 0.0017 memory: 15587 loss: 0.0539 | |
| 2023/06/06 05:24:14 - mmengine - INFO - Epoch(train) [1][ 600/1969] lr: 3.9911e-04 eta: 3:41:17 time: 0.6029 data_time: 0.0016 memory: 15587 loss: 0.0574 | |
| 2023/06/06 05:25:28 - mmengine - INFO - Epoch(train) [1][ 700/1969] lr: 3.9879e-04 eta: 3:42:15 time: 1.1324 data_time: 0.0016 memory: 15587 loss: 0.0563 | |
| 2023/06/06 05:26:30 - mmengine - INFO - Epoch(train) [1][ 800/1969] lr: 3.9842e-04 eta: 3:37:32 time: 0.6036 data_time: 0.0018 memory: 15587 loss: 0.0601 | |
| 2023/06/06 05:27:33 - mmengine - INFO - Epoch(train) [1][ 900/1969] lr: 3.9800e-04 eta: 3:34:21 time: 0.5760 data_time: 0.0015 memory: 15587 loss: 0.0546 | |
| 2023/06/06 05:28:38 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1_20230606_051640 | |
| 2023/06/06 05:28:38 - mmengine - INFO - Epoch(train) [1][1000/1969] lr: 3.9753e-04 eta: 3:32:02 time: 0.5958 data_time: 0.0016 memory: 15587 loss: 0.0415 | |
| 2023/06/06 05:29:39 - mmengine - INFO - Epoch(train) [1][1100/1969] lr: 3.9701e-04 eta: 3:29:04 time: 0.6263 data_time: 0.0017 memory: 15587 loss: 0.0481 | |
| 2023/06/06 05:30:44 - mmengine - INFO - Epoch(train) [1][1200/1969] lr: 3.9644e-04 eta: 3:27:10 time: 0.6445 data_time: 0.0016 memory: 15587 loss: 0.0421 | |
| 2023/06/06 05:31:46 - mmengine - INFO - Epoch(train) [1][1300/1969] lr: 3.9583e-04 eta: 3:24:55 time: 0.6142 data_time: 0.0015 memory: 15587 loss: 0.0477 | |
| 2023/06/06 05:32:49 - mmengine - INFO - Epoch(train) [1][1400/1969] lr: 3.9516e-04 eta: 3:23:01 time: 0.5965 data_time: 0.0016 memory: 15587 loss: 0.0333 | |
| 2023/06/06 05:33:51 - mmengine - INFO - Epoch(train) [1][1500/1969] lr: 3.9445e-04 eta: 3:20:51 time: 0.6076 data_time: 0.0016 memory: 15587 loss: 0.0398 | |
| 2023/06/06 05:36:25 - mmengine - INFO - Epoch(train) [1][1600/1969] lr: 3.9369e-04 eta: 3:36:21 time: 0.6154 data_time: 0.0015 memory: 15587 loss: 0.0466 | |
| 2023/06/06 05:37:28 - mmengine - INFO - Epoch(train) [1][1700/1969] lr: 3.9288e-04 eta: 3:33:41 time: 0.6293 data_time: 0.0016 memory: 15587 loss: 0.0350 | |
| 2023/06/06 05:38:38 - mmengine - INFO - Epoch(train) [1][1800/1969] lr: 3.9202e-04 eta: 3:32:12 time: 1.3417 data_time: 0.0015 memory: 15587 loss: 0.0342 | |
| 2023/06/06 05:39:44 - mmengine - INFO - Epoch(train) [1][1900/1969] lr: 3.9112e-04 eta: 3:30:12 time: 0.6439 data_time: 0.0015 memory: 15587 loss: 0.0412 | |
| 2023/06/06 05:40:29 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1_20230606_051640 | |
| 2023/06/06 05:40:29 - mmengine - INFO - Saving checkpoint at 1 epochs | |
| 2023/06/06 05:41:05 - mmengine - INFO - Epoch(val) [1][29/29] accuracy/top1: 80.1260 single-label/precision_classwise: [73.56348419189453, 99.58609008789062] single-label/recall_classwise: [99.81061553955078, 55.9534912109375] single-label/f1-score_classwise: [84.70027160644531, 71.64979553222656] data_time: 0.2369 time: 0.7003 | |
| 2023/06/06 05:41:31 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1_20230606_051640 | |
| 2023/06/06 05:42:15 - mmengine - INFO - Epoch(train) [2][ 100/1969] lr: 3.8948e-04 eta: 3:27:30 time: 0.6675 data_time: 0.0017 memory: 15587 loss: 0.0321 | |
| 2023/06/06 05:43:17 - mmengine - INFO - Epoch(train) [2][ 200/1969] lr: 3.8845e-04 eta: 3:25:07 time: 0.6055 data_time: 0.0018 memory: 15585 loss: 0.0265 | |
| 2023/06/06 05:44:19 - mmengine - INFO - Epoch(train) [2][ 300/1969] lr: 3.8737e-04 eta: 3:22:54 time: 0.6007 data_time: 0.0016 memory: 15585 loss: 0.0378 | |
| 2023/06/06 05:45:19 - mmengine - INFO - Epoch(train) [2][ 400/1969] lr: 3.8625e-04 eta: 3:20:37 time: 0.6381 data_time: 0.0015 memory: 15585 loss: 0.0368 | |
| 2023/06/06 05:46:22 - mmengine - INFO - Epoch(train) [2][ 500/1969] lr: 3.8508e-04 eta: 3:18:37 time: 0.5798 data_time: 0.0015 memory: 15585 loss: 0.0336 | |
| 2023/06/06 05:47:24 - mmengine - INFO - Epoch(train) [2][ 600/1969] lr: 3.8386e-04 eta: 3:16:39 time: 0.6176 data_time: 0.0020 memory: 15585 loss: 0.0396 | |
| 2023/06/06 05:48:27 - mmengine - INFO - Epoch(train) [2][ 700/1969] lr: 3.8260e-04 eta: 3:14:55 time: 0.6705 data_time: 0.0015 memory: 15585 loss: 0.0287 | |
| 2023/06/06 05:49:30 - mmengine - INFO - Epoch(train) [2][ 800/1969] lr: 3.8129e-04 eta: 3:13:10 time: 0.6355 data_time: 0.0017 memory: 15585 loss: 0.0337 | |
| 2023/06/06 05:50:33 - mmengine - INFO - Epoch(train) [2][ 900/1969] lr: 3.7994e-04 eta: 3:11:30 time: 0.6274 data_time: 0.0016 memory: 15585 loss: 0.0346 | |
| 2023/06/06 05:51:36 - mmengine - INFO - Epoch(train) [2][1000/1969] lr: 3.7854e-04 eta: 3:09:55 time: 0.6428 data_time: 0.0016 memory: 15585 loss: 0.0430 | |
| 2023/06/06 05:51:56 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1_20230606_051640 | |
| 2023/06/06 05:52:40 - mmengine - INFO - Epoch(train) [2][1100/1969] lr: 3.7710e-04 eta: 3:08:22 time: 0.6416 data_time: 0.0014 memory: 15585 loss: 0.0325 | |
| 2023/06/06 05:53:43 - mmengine - INFO - Epoch(train) [2][1200/1969] lr: 3.7562e-04 eta: 3:06:49 time: 0.6325 data_time: 0.0017 memory: 15585 loss: 0.0321 | |
| 2023/06/06 05:54:56 - mmengine - INFO - Epoch(train) [2][1300/1969] lr: 3.7409e-04 eta: 3:06:06 time: 0.6006 data_time: 0.0019 memory: 15585 loss: 0.0295 | |
| 2023/06/06 05:55:56 - mmengine - INFO - Epoch(train) [2][1400/1969] lr: 3.7252e-04 eta: 3:04:17 time: 0.6230 data_time: 0.0016 memory: 15585 loss: 0.0266 | |
| 2023/06/06 05:56:51 - mmengine - INFO - Epoch(train) [2][1500/1969] lr: 3.7090e-04 eta: 3:02:10 time: 0.5775 data_time: 0.0016 memory: 15585 loss: 0.0236 | |
| 2023/06/06 05:57:49 - mmengine - INFO - Epoch(train) [2][1600/1969] lr: 3.6925e-04 eta: 3:00:20 time: 0.5890 data_time: 0.0015 memory: 15585 loss: 0.0292 | |
| 2023/06/06 05:58:47 - mmengine - INFO - Epoch(train) [2][1700/1969] lr: 3.6755e-04 eta: 2:58:36 time: 0.5980 data_time: 0.0015 memory: 15585 loss: 0.0280 | |
| 2023/06/06 05:59:44 - mmengine - INFO - Epoch(train) [2][1800/1969] lr: 3.6581e-04 eta: 2:56:47 time: 0.6007 data_time: 0.0015 memory: 15585 loss: 0.0328 | |
| 2023/06/06 06:00:41 - mmengine - INFO - Epoch(train) [2][1900/1969] lr: 3.6403e-04 eta: 2:55:01 time: 0.5462 data_time: 0.0015 memory: 15585 loss: 0.0343 | |
| 2023/06/06 06:01:20 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1_20230606_051640 | |
| 2023/06/06 06:01:20 - mmengine - INFO - Saving checkpoint at 2 epochs | |
| 2023/06/06 06:01:54 - mmengine - INFO - Epoch(val) [2][29/29] accuracy/top1: 91.7887 single-label/precision_classwise: [87.12751007080078, 99.78273010253906] single-label/recall_classwise: [99.85481262207031, 81.88372039794922] single-label/f1-score_classwise: [93.0580062866211, 89.95146179199219] data_time: 0.2112 time: 0.5998 | |
| 2023/06/06 06:02:36 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1_20230606_051640 | |
| 2023/06/06 06:02:57 - mmengine - INFO - Epoch(train) [3][ 100/1969] lr: 3.6093e-04 eta: 2:52:28 time: 0.5542 data_time: 0.0372 memory: 15585 loss: 0.0245 | |
| 2023/06/06 06:03:56 - mmengine - INFO - Epoch(train) [3][ 200/1969] lr: 3.5904e-04 eta: 2:50:54 time: 0.6017 data_time: 0.0835 memory: 15585 loss: 0.0372 | |
| 2023/06/06 06:04:54 - mmengine - INFO - Epoch(train) [3][ 300/1969] lr: 3.5711e-04 eta: 2:49:20 time: 0.6125 data_time: 0.0586 memory: 15585 loss: 0.0278 | |
| 2023/06/06 06:05:53 - mmengine - INFO - Epoch(train) [3][ 400/1969] lr: 3.5515e-04 eta: 2:47:50 time: 0.6046 data_time: 0.0022 memory: 15585 loss: 0.0296 | |
| 2023/06/06 06:06:51 - mmengine - INFO - Epoch(train) [3][ 500/1969] lr: 3.5314e-04 eta: 2:46:20 time: 0.5971 data_time: 0.0016 memory: 15585 loss: 0.0318 | |
| 2023/06/06 06:07:52 - mmengine - INFO - Epoch(train) [3][ 600/1969] lr: 3.5110e-04 eta: 2:45:00 time: 0.6521 data_time: 0.0017 memory: 15585 loss: 0.0282 | |
| 2023/06/06 06:08:53 - mmengine - INFO - Epoch(train) [3][ 700/1969] lr: 3.4902e-04 eta: 2:43:39 time: 0.5890 data_time: 0.0019 memory: 15585 loss: 0.0231 | |
| 2023/06/06 06:09:51 - mmengine - INFO - Epoch(train) [3][ 800/1969] lr: 3.4691e-04 eta: 2:42:11 time: 0.5729 data_time: 0.0018 memory: 15585 loss: 0.0262 | |
| 2023/06/06 06:10:49 - mmengine - INFO - Epoch(train) [3][ 900/1969] lr: 3.4475e-04 eta: 2:40:45 time: 0.6035 data_time: 0.0016 memory: 15585 loss: 0.0280 | |
| 2023/06/06 06:11:48 - mmengine - INFO - Epoch(train) [3][1000/1969] lr: 3.4257e-04 eta: 2:39:23 time: 0.6211 data_time: 0.0019 memory: 15585 loss: 0.0212 | |
| 2023/06/06 06:12:25 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1_20230606_051640 | |
| 2023/06/06 06:12:47 - mmengine - INFO - Epoch(train) [3][1100/1969] lr: 3.4034e-04 eta: 2:37:59 time: 0.5433 data_time: 0.0017 memory: 15585 loss: 0.0261 | |
| 2023/06/06 06:13:46 - mmengine - INFO - Epoch(train) [3][1200/1969] lr: 3.3809e-04 eta: 2:36:38 time: 0.5565 data_time: 0.0015 memory: 15585 loss: 0.0309 | |
| 2023/06/06 06:14:43 - mmengine - INFO - Epoch(train) [3][1300/1969] lr: 3.3580e-04 eta: 2:35:14 time: 0.6117 data_time: 0.0015 memory: 15585 loss: 0.0419 | |
| 2023/06/06 06:15:41 - mmengine - INFO - Epoch(train) [3][1400/1969] lr: 3.3347e-04 eta: 2:33:51 time: 0.5814 data_time: 0.0018 memory: 15585 loss: 0.0235 | |
| 2023/06/06 06:16:38 - mmengine - INFO - Epoch(train) [3][1500/1969] lr: 3.3112e-04 eta: 2:32:28 time: 0.5733 data_time: 0.0016 memory: 15585 loss: 0.0306 | |
| 2023/06/06 06:17:37 - mmengine - INFO - Epoch(train) [3][1600/1969] lr: 3.2873e-04 eta: 2:31:10 time: 0.6124 data_time: 0.0017 memory: 15585 loss: 0.0240 | |
| 2023/06/06 06:18:34 - mmengine - INFO - Epoch(train) [3][1700/1969] lr: 3.2631e-04 eta: 2:29:48 time: 0.5683 data_time: 0.0015 memory: 15585 loss: 0.0239 | |
| 2023/06/06 06:19:32 - mmengine - INFO - Epoch(train) [3][1800/1969] lr: 3.2385e-04 eta: 2:28:30 time: 0.6199 data_time: 0.0017 memory: 15585 loss: 0.0306 | |
| 2023/06/06 06:20:32 - mmengine - INFO - Epoch(train) [3][1900/1969] lr: 3.2137e-04 eta: 2:27:17 time: 0.6046 data_time: 0.0018 memory: 15585 loss: 0.0205 | |
| 2023/06/06 06:21:11 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1_20230606_051640 | |
| 2023/06/06 06:21:11 - mmengine - INFO - Saving checkpoint at 3 epochs | |
| 2023/06/06 06:21:42 - mmengine - INFO - Epoch(val) [3][29/29] accuracy/top1: 95.7308 single-label/precision_classwise: [92.92680358886719, 99.80374145507812] single-label/recall_classwise: [99.85481262207031, 90.66667175292969] single-label/f1-score_classwise: [96.26631927490234, 95.01605224609375] data_time: 0.1200 time: 0.5051 | |
| 2023/06/06 06:22:42 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1_20230606_051640 | |
| 2023/06/06 06:22:45 - mmengine - INFO - Epoch(train) [4][ 100/1969] lr: 3.1711e-04 eta: 2:25:17 time: 0.5588 data_time: 0.0021 memory: 15585 loss: 0.0231 | |
| 2023/06/06 06:23:44 - mmengine - INFO - Epoch(train) [4][ 200/1969] lr: 3.1455e-04 eta: 2:24:02 time: 0.6028 data_time: 0.0015 memory: 15585 loss: 0.0258 | |
| 2023/06/06 06:24:46 - mmengine - INFO - Epoch(train) [4][ 300/1969] lr: 3.1196e-04 eta: 2:22:54 time: 0.6135 data_time: 0.0016 memory: 15585 loss: 0.0368 | |
| 2023/06/06 06:25:45 - mmengine - INFO - Epoch(train) [4][ 400/1969] lr: 3.0935e-04 eta: 2:21:41 time: 0.5793 data_time: 0.0015 memory: 15585 loss: 0.0173 | |
| 2023/06/06 06:26:43 - mmengine - INFO - Epoch(train) [4][ 500/1969] lr: 3.0671e-04 eta: 2:20:27 time: 0.5791 data_time: 0.0017 memory: 15585 loss: 0.0241 | |
| 2023/06/06 06:27:43 - mmengine - INFO - Epoch(train) [4][ 600/1969] lr: 3.0404e-04 eta: 2:19:16 time: 0.6501 data_time: 0.0016 memory: 15585 loss: 0.0160 | |
| 2023/06/06 06:28:39 - mmengine - INFO - Epoch(train) [4][ 700/1969] lr: 3.0135e-04 eta: 2:17:59 time: 0.5738 data_time: 0.0017 memory: 15585 loss: 0.0246 | |
| 2023/06/06 06:29:37 - mmengine - INFO - Epoch(train) [4][ 800/1969] lr: 2.9863e-04 eta: 2:16:46 time: 0.6157 data_time: 0.0016 memory: 15585 loss: 0.0288 | |
| 2023/06/06 06:30:36 - mmengine - INFO - Epoch(train) [4][ 900/1969] lr: 2.9589e-04 eta: 2:15:33 time: 0.5952 data_time: 0.0016 memory: 15585 loss: 0.0193 | |
| 2023/06/06 06:31:34 - mmengine - INFO - Epoch(train) [4][1000/1969] lr: 2.9313e-04 eta: 2:14:22 time: 0.6250 data_time: 0.0017 memory: 15585 loss: 0.0233 | |
| 2023/06/06 06:32:27 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1_20230606_051640 | |
| 2023/06/06 06:32:31 - mmengine - INFO - Epoch(train) [4][1100/1969] lr: 2.9034e-04 eta: 2:13:06 time: 0.5614 data_time: 0.0020 memory: 15585 loss: 0.0292 | |
| 2023/06/06 06:33:30 - mmengine - INFO - Epoch(train) [4][1200/1969] lr: 2.8753e-04 eta: 2:11:58 time: 0.5563 data_time: 0.0015 memory: 15585 loss: 0.0245 | |
| 2023/06/06 06:34:28 - mmengine - INFO - Epoch(train) [4][1300/1969] lr: 2.8470e-04 eta: 2:10:45 time: 0.5465 data_time: 0.0017 memory: 15585 loss: 0.0220 | |
| 2023/06/06 06:35:25 - mmengine - INFO - Epoch(train) [4][1400/1969] lr: 2.8185e-04 eta: 2:09:33 time: 0.5955 data_time: 0.0016 memory: 15585 loss: 0.0204 | |
| 2023/06/06 06:36:34 - mmengine - INFO - Epoch(train) [4][1500/1969] lr: 2.7898e-04 eta: 2:08:40 time: 0.5859 data_time: 0.0017 memory: 15585 loss: 0.0220 | |
| 2023/06/06 06:37:32 - mmengine - INFO - Epoch(train) [4][1600/1969] lr: 2.7610e-04 eta: 2:07:29 time: 0.6029 data_time: 0.0015 memory: 15585 loss: 0.0233 | |
| 2023/06/06 06:38:28 - mmengine - INFO - Epoch(train) [4][1700/1969] lr: 2.7319e-04 eta: 2:06:16 time: 0.6054 data_time: 0.0018 memory: 15585 loss: 0.0286 | |
| 2023/06/06 06:39:26 - mmengine - INFO - Epoch(train) [4][1800/1969] lr: 2.7027e-04 eta: 2:05:06 time: 0.5769 data_time: 0.0016 memory: 15585 loss: 0.0270 | |
| 2023/06/06 06:40:25 - mmengine - INFO - Epoch(train) [4][1900/1969] lr: 2.6733e-04 eta: 2:03:58 time: 0.5727 data_time: 0.0016 memory: 15585 loss: 0.0288 | |
| 2023/06/06 06:41:04 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1_20230606_051640 | |
| 2023/06/06 06:41:04 - mmengine - INFO - Saving checkpoint at 4 epochs | |
| 2023/06/06 06:41:39 - mmengine - INFO - Epoch(val) [4][29/29] accuracy/top1: 97.6201 single-label/precision_classwise: [95.96094512939453, 99.85308837890625] single-label/recall_classwise: [99.88636779785156, 94.83720397949219] single-label/f1-score_classwise: [97.88431549072266, 97.2805404663086] data_time: 0.2257 time: 0.6116 | |
| 2023/06/06 06:42:44 - mmengine - INFO - Epoch(train) [5][ 100/1969] lr: 2.6232e-04 eta: 2:02:10 time: 0.5897 data_time: 0.0447 memory: 15585 loss: 0.0287 | |
| 2023/06/06 06:42:58 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1_20230606_051640 | |
| 2023/06/06 06:43:43 - mmengine - INFO - Epoch(train) [5][ 200/1969] lr: 2.5934e-04 eta: 2:01:02 time: 0.5518 data_time: 0.0297 memory: 15585 loss: 0.0290 | |
| 2023/06/06 06:44:46 - mmengine - INFO - Epoch(train) [5][ 300/1969] lr: 2.5635e-04 eta: 2:00:00 time: 0.6342 data_time: 0.0015 memory: 15585 loss: 0.0286 | |
| 2023/06/06 06:45:44 - mmengine - INFO - Epoch(train) [5][ 400/1969] lr: 2.5334e-04 eta: 1:58:51 time: 0.5839 data_time: 0.0015 memory: 15585 loss: 0.0195 | |
| 2023/06/06 06:46:43 - mmengine - INFO - Epoch(train) [5][ 500/1969] lr: 2.5032e-04 eta: 1:57:44 time: 0.5738 data_time: 0.0017 memory: 15585 loss: 0.0239 | |
| 2023/06/06 06:47:41 - mmengine - INFO - Epoch(train) [5][ 600/1969] lr: 2.4729e-04 eta: 1:56:36 time: 0.5874 data_time: 0.0015 memory: 15585 loss: 0.0223 | |
| 2023/06/06 06:48:40 - mmengine - INFO - Epoch(train) [5][ 700/1969] lr: 2.4424e-04 eta: 1:55:29 time: 0.6105 data_time: 0.0016 memory: 15585 loss: 0.0301 | |
| 2023/06/06 06:49:36 - mmengine - INFO - Epoch(train) [5][ 800/1969] lr: 2.4119e-04 eta: 1:54:19 time: 0.5406 data_time: 0.0015 memory: 15585 loss: 0.0180 | |
| 2023/06/06 06:50:33 - mmengine - INFO - Epoch(train) [5][ 900/1969] lr: 2.3813e-04 eta: 1:53:10 time: 0.5435 data_time: 0.0016 memory: 15585 loss: 0.0222 | |
| 2023/06/06 06:51:31 - mmengine - INFO - Epoch(train) [5][1000/1969] lr: 2.3506e-04 eta: 1:52:02 time: 0.5551 data_time: 0.0016 memory: 15585 loss: 0.0233 | |
| 2023/06/06 06:52:30 - mmengine - INFO - Epoch(train) [5][1100/1969] lr: 2.3198e-04 eta: 1:50:57 time: 0.5643 data_time: 0.0016 memory: 15585 loss: 0.0247 | |
| 2023/06/06 06:52:45 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1_20230606_051640 | |
| 2023/06/06 06:53:28 - mmengine - INFO - Epoch(train) [5][1200/1969] lr: 2.2890e-04 eta: 1:49:50 time: 0.6122 data_time: 0.0014 memory: 15585 loss: 0.0208 | |
| 2023/06/06 06:54:26 - mmengine - INFO - Epoch(train) [5][1300/1969] lr: 2.2581e-04 eta: 1:48:43 time: 0.5742 data_time: 0.0016 memory: 15585 loss: 0.0174 | |
| 2023/06/06 06:55:25 - mmengine - INFO - Epoch(train) [5][1400/1969] lr: 2.2271e-04 eta: 1:47:38 time: 0.5884 data_time: 0.0018 memory: 15585 loss: 0.0208 | |
| 2023/06/06 06:56:23 - mmengine - INFO - Epoch(train) [5][1500/1969] lr: 2.1961e-04 eta: 1:46:31 time: 0.5784 data_time: 0.0014 memory: 15585 loss: 0.0137 | |
| 2023/06/06 06:57:22 - mmengine - INFO - Epoch(train) [5][1600/1969] lr: 2.1651e-04 eta: 1:45:25 time: 0.5637 data_time: 0.0017 memory: 15585 loss: 0.0255 | |
| 2023/06/06 06:58:21 - mmengine - INFO - Epoch(train) [5][1700/1969] lr: 2.1340e-04 eta: 1:44:20 time: 0.5901 data_time: 0.0019 memory: 15585 loss: 0.0204 | |
| 2023/06/06 06:59:19 - mmengine - INFO - Epoch(train) [5][1800/1969] lr: 2.1029e-04 eta: 1:43:15 time: 0.5614 data_time: 0.0016 memory: 15585 loss: 0.0191 | |
| 2023/06/06 07:00:17 - mmengine - INFO - Epoch(train) [5][1900/1969] lr: 2.0718e-04 eta: 1:42:09 time: 0.5584 data_time: 0.0017 memory: 15585 loss: 0.0213 | |
| 2023/06/06 07:00:56 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1_20230606_051640 | |
| 2023/06/06 07:00:56 - mmengine - INFO - Saving checkpoint at 5 epochs | |
| 2023/06/06 07:01:30 - mmengine - INFO - Epoch(val) [5][29/29] accuracy/top1: 98.4308 single-label/precision_classwise: [97.40635681152344, 99.76017761230469] single-label/recall_classwise: [99.81061553955078, 96.73643493652344] single-label/f1-score_classwise: [98.59382629394531, 98.22504425048828] data_time: 0.2134 time: 0.6043 | |
| 2023/06/06 07:02:35 - mmengine - INFO - Epoch(train) [6][ 100/1969] lr: 2.0192e-04 eta: 1:40:24 time: 0.6086 data_time: 0.0017 memory: 15585 loss: 0.0149 | |
| 2023/06/06 07:03:08 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1_20230606_051640 | |
| 2023/06/06 07:03:35 - mmengine - INFO - Epoch(train) [6][ 200/1969] lr: 1.9881e-04 eta: 1:39:20 time: 0.5879 data_time: 0.0016 memory: 15585 loss: 0.0175 | |
| 2023/06/06 07:04:34 - mmengine - INFO - Epoch(train) [6][ 300/1969] lr: 1.9570e-04 eta: 1:38:16 time: 0.6431 data_time: 0.0016 memory: 15585 loss: 0.0187 | |
| 2023/06/06 07:05:32 - mmengine - INFO - Epoch(train) [6][ 400/1969] lr: 1.9259e-04 eta: 1:37:11 time: 0.5860 data_time: 0.0014 memory: 15585 loss: 0.0194 | |
| 2023/06/06 07:06:30 - mmengine - INFO - Epoch(train) [6][ 500/1969] lr: 1.8949e-04 eta: 1:36:06 time: 0.5449 data_time: 0.0015 memory: 15585 loss: 0.0274 | |
| 2023/06/06 07:07:26 - mmengine - INFO - Epoch(train) [6][ 600/1969] lr: 1.8639e-04 eta: 1:34:59 time: 0.5434 data_time: 0.0018 memory: 15585 loss: 0.0181 | |
| 2023/06/06 07:08:25 - mmengine - INFO - Epoch(train) [6][ 700/1969] lr: 1.8330e-04 eta: 1:33:54 time: 0.5646 data_time: 0.0015 memory: 15585 loss: 0.0125 | |
| 2023/06/06 07:09:22 - mmengine - INFO - Epoch(train) [6][ 800/1969] lr: 1.8021e-04 eta: 1:32:49 time: 0.5423 data_time: 0.0017 memory: 15585 loss: 0.0149 | |
| 2023/06/06 07:10:19 - mmengine - INFO - Epoch(train) [6][ 900/1969] lr: 1.7713e-04 eta: 1:31:44 time: 0.5615 data_time: 0.0016 memory: 15585 loss: 0.0249 | |
| 2023/06/06 07:11:17 - mmengine - INFO - Epoch(train) [6][1000/1969] lr: 1.7405e-04 eta: 1:30:39 time: 0.5385 data_time: 0.0018 memory: 15585 loss: 0.0139 | |
| 2023/06/06 07:12:14 - mmengine - INFO - Epoch(train) [6][1100/1969] lr: 1.7098e-04 eta: 1:29:34 time: 0.5790 data_time: 0.0017 memory: 15585 loss: 0.0157 | |
| 2023/06/06 07:12:46 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1_20230606_051640 | |
| 2023/06/06 07:13:12 - mmengine - INFO - Epoch(train) [6][1200/1969] lr: 1.6792e-04 eta: 1:28:30 time: 0.5652 data_time: 0.0017 memory: 15585 loss: 0.0195 | |
| 2023/06/06 07:14:10 - mmengine - INFO - Epoch(train) [6][1300/1969] lr: 1.6487e-04 eta: 1:27:26 time: 0.5819 data_time: 0.0014 memory: 15585 loss: 0.0226 | |
| 2023/06/06 07:15:08 - mmengine - INFO - Epoch(train) [6][1400/1969] lr: 1.6183e-04 eta: 1:26:22 time: 0.5798 data_time: 0.0022 memory: 15585 loss: 0.0189 | |
| 2023/06/06 07:16:06 - mmengine - INFO - Epoch(train) [6][1500/1969] lr: 1.5881e-04 eta: 1:25:18 time: 0.5688 data_time: 0.0016 memory: 15585 loss: 0.0159 | |
| 2023/06/06 07:17:05 - mmengine - INFO - Epoch(train) [6][1600/1969] lr: 1.5579e-04 eta: 1:24:15 time: 0.5816 data_time: 0.0016 memory: 15585 loss: 0.0205 | |
| 2023/06/06 07:18:05 - mmengine - INFO - Epoch(train) [6][1700/1969] lr: 1.5278e-04 eta: 1:23:13 time: 0.6482 data_time: 0.0019 memory: 15585 loss: 0.0168 | |
| 2023/06/06 07:19:03 - mmengine - INFO - Epoch(train) [6][1800/1969] lr: 1.4979e-04 eta: 1:22:09 time: 0.6013 data_time: 0.0017 memory: 15585 loss: 0.0273 | |
| 2023/06/06 07:20:03 - mmengine - INFO - Epoch(train) [6][1900/1969] lr: 1.4682e-04 eta: 1:21:07 time: 0.5793 data_time: 0.0015 memory: 15585 loss: 0.0200 | |
| 2023/06/06 07:20:43 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1_20230606_051640 | |
| 2023/06/06 07:20:43 - mmengine - INFO - Saving checkpoint at 6 epochs | |
| 2023/06/06 07:21:17 - mmengine - INFO - Epoch(val) [6][29/29] accuracy/top1: 98.8379 single-label/precision_classwise: [98.11356353759766, 99.76239776611328] single-label/recall_classwise: [99.81061553955078, 97.6434097290039] single-label/f1-score_classwise: [98.95481872558594, 98.6915283203125] data_time: 0.2203 time: 0.6101 | |
| 2023/06/06 07:22:22 - mmengine - INFO - Epoch(train) [7][ 100/1969] lr: 1.4182e-04 eta: 1:19:25 time: 0.5759 data_time: 0.0016 memory: 15585 loss: 0.0138 | |
| 2023/06/06 07:23:13 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1_20230606_051640 | |
| 2023/06/06 07:23:21 - mmengine - INFO - Epoch(train) [7][ 200/1969] lr: 1.3888e-04 eta: 1:18:22 time: 0.5869 data_time: 0.0017 memory: 15585 loss: 0.0167 | |
| 2023/06/06 07:24:20 - mmengine - INFO - Epoch(train) [7][ 300/1969] lr: 1.3597e-04 eta: 1:17:19 time: 0.5900 data_time: 0.0015 memory: 15585 loss: 0.0199 | |
| 2023/06/06 07:25:18 - mmengine - INFO - Epoch(train) [7][ 400/1969] lr: 1.3307e-04 eta: 1:16:16 time: 0.6056 data_time: 0.0017 memory: 15585 loss: 0.0137 | |
| 2023/06/06 07:26:19 - mmengine - INFO - Epoch(train) [7][ 500/1969] lr: 1.3018e-04 eta: 1:15:15 time: 0.5968 data_time: 0.0017 memory: 15585 loss: 0.0157 | |
| 2023/06/06 07:27:17 - mmengine - INFO - Epoch(train) [7][ 600/1969] lr: 1.2732e-04 eta: 1:14:12 time: 0.5849 data_time: 0.0015 memory: 15585 loss: 0.0221 | |
| 2023/06/06 07:28:17 - mmengine - INFO - Epoch(train) [7][ 700/1969] lr: 1.2448e-04 eta: 1:13:09 time: 0.6183 data_time: 0.0016 memory: 15585 loss: 0.0159 | |
| 2023/06/06 07:29:14 - mmengine - INFO - Epoch(train) [7][ 800/1969] lr: 1.2165e-04 eta: 1:12:06 time: 0.5871 data_time: 0.0019 memory: 15585 loss: 0.0143 | |
| 2023/06/06 07:30:13 - mmengine - INFO - Epoch(train) [7][ 900/1969] lr: 1.1885e-04 eta: 1:11:04 time: 0.5565 data_time: 0.0015 memory: 15585 loss: 0.0146 | |
| 2023/06/06 07:31:14 - mmengine - INFO - Epoch(train) [7][1000/1969] lr: 1.1607e-04 eta: 1:10:02 time: 0.7400 data_time: 0.0017 memory: 15585 loss: 0.0114 | |
| 2023/06/06 07:32:13 - mmengine - INFO - Epoch(train) [7][1100/1969] lr: 1.1331e-04 eta: 1:09:00 time: 0.5874 data_time: 0.0022 memory: 15585 loss: 0.0191 | |
| 2023/06/06 07:33:06 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1_20230606_051640 | |
| 2023/06/06 07:33:13 - mmengine - INFO - Epoch(train) [7][1200/1969] lr: 1.1058e-04 eta: 1:07:59 time: 0.5711 data_time: 0.0017 memory: 15585 loss: 0.0185 | |
| 2023/06/06 07:34:11 - mmengine - INFO - Epoch(train) [7][1300/1969] lr: 1.0787e-04 eta: 1:06:56 time: 0.6221 data_time: 0.0016 memory: 15585 loss: 0.0207 | |
| 2023/06/06 07:35:10 - mmengine - INFO - Epoch(train) [7][1400/1969] lr: 1.0518e-04 eta: 1:05:54 time: 0.5703 data_time: 0.0017 memory: 15585 loss: 0.0137 | |
| 2023/06/06 07:36:09 - mmengine - INFO - Epoch(train) [7][1500/1969] lr: 1.0252e-04 eta: 1:04:52 time: 0.5903 data_time: 0.0017 memory: 15585 loss: 0.0160 | |
| 2023/06/06 07:37:08 - mmengine - INFO - Epoch(train) [7][1600/1969] lr: 9.9889e-05 eta: 1:03:50 time: 0.5261 data_time: 0.0015 memory: 15585 loss: 0.0096 | |
| 2023/06/06 07:38:09 - mmengine - INFO - Epoch(train) [7][1700/1969] lr: 9.7282e-05 eta: 1:02:49 time: 0.5468 data_time: 0.0019 memory: 15585 loss: 0.0186 | |
| 2023/06/06 07:39:08 - mmengine - INFO - Epoch(train) [7][1800/1969] lr: 9.4703e-05 eta: 1:01:47 time: 0.5772 data_time: 0.0017 memory: 15585 loss: 0.0088 | |
| 2023/06/06 07:40:08 - mmengine - INFO - Epoch(train) [7][1900/1969] lr: 9.2151e-05 eta: 1:00:45 time: 0.5744 data_time: 0.0016 memory: 15585 loss: 0.0146 | |
| 2023/06/06 07:40:46 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1_20230606_051640 | |
| 2023/06/06 07:40:46 - mmengine - INFO - Saving checkpoint at 7 epochs | |
| 2023/06/06 07:41:22 - mmengine - INFO - Epoch(val) [7][29/29] accuracy/top1: 99.1998 single-label/precision_classwise: [98.76304626464844, 99.74870300292969] single-label/recall_classwise: [99.7979965209961, 98.46511840820312] single-label/f1-score_classwise: [99.27783203125, 99.10275268554688] data_time: 0.2569 time: 0.6451 | |
| 2023/06/06 07:42:24 - mmengine - INFO - Epoch(train) [8][ 100/1969] lr: 8.7904e-05 eta: 0:59:01 time: 0.5269 data_time: 0.0016 memory: 15585 loss: 0.0151 | |
| 2023/06/06 07:43:23 - mmengine - INFO - Epoch(train) [8][ 200/1969] lr: 8.5432e-05 eta: 0:57:59 time: 0.6385 data_time: 0.0015 memory: 15585 loss: 0.0149 | |
| 2023/06/06 07:43:33 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1_20230606_051640 | |
| 2023/06/06 07:44:21 - mmengine - INFO - Epoch(train) [8][ 300/1969] lr: 8.2989e-05 eta: 0:56:57 time: 0.6128 data_time: 0.0018 memory: 15585 loss: 0.0128 | |
| 2023/06/06 07:45:19 - mmengine - INFO - Epoch(train) [8][ 400/1969] lr: 8.0578e-05 eta: 0:55:55 time: 0.5707 data_time: 0.0016 memory: 15585 loss: 0.0105 | |
| 2023/06/06 07:46:19 - mmengine - INFO - Epoch(train) [8][ 500/1969] lr: 7.8198e-05 eta: 0:54:54 time: 0.5328 data_time: 0.0015 memory: 15585 loss: 0.0172 | |
| 2023/06/06 07:47:17 - mmengine - INFO - Epoch(train) [8][ 600/1969] lr: 7.5851e-05 eta: 0:53:52 time: 0.5547 data_time: 0.0017 memory: 15585 loss: 0.0139 | |
| 2023/06/06 07:48:17 - mmengine - INFO - Epoch(train) [8][ 700/1969] lr: 7.3536e-05 eta: 0:52:50 time: 0.5885 data_time: 0.0014 memory: 15585 loss: 0.0112 | |
| 2023/06/06 07:49:15 - mmengine - INFO - Epoch(train) [8][ 800/1969] lr: 7.1255e-05 eta: 0:51:49 time: 0.5895 data_time: 0.0016 memory: 15585 loss: 0.0147 | |
| 2023/06/06 07:50:13 - mmengine - INFO - Epoch(train) [8][ 900/1969] lr: 6.9008e-05 eta: 0:50:47 time: 0.6017 data_time: 0.0016 memory: 15585 loss: 0.0147 | |
| 2023/06/06 07:51:10 - mmengine - INFO - Epoch(train) [8][1000/1969] lr: 6.6796e-05 eta: 0:49:45 time: 0.5416 data_time: 0.0017 memory: 15585 loss: 0.0138 | |
| 2023/06/06 07:52:10 - mmengine - INFO - Epoch(train) [8][1100/1969] lr: 6.4618e-05 eta: 0:48:43 time: 0.6131 data_time: 0.0017 memory: 15585 loss: 0.0105 | |
| 2023/06/06 07:53:07 - mmengine - INFO - Epoch(train) [8][1200/1969] lr: 6.2477e-05 eta: 0:47:41 time: 0.5806 data_time: 0.0017 memory: 15585 loss: 0.0127 | |
| 2023/06/06 07:53:17 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1_20230606_051640 | |
| 2023/06/06 07:54:05 - mmengine - INFO - Epoch(train) [8][1300/1969] lr: 6.0372e-05 eta: 0:46:40 time: 0.5783 data_time: 0.0016 memory: 15585 loss: 0.0160 | |
| 2023/06/06 07:55:02 - mmengine - INFO - Epoch(train) [8][1400/1969] lr: 5.8303e-05 eta: 0:45:38 time: 0.5524 data_time: 0.0015 memory: 15585 loss: 0.0115 | |
| 2023/06/06 07:55:58 - mmengine - INFO - Epoch(train) [8][1500/1969] lr: 5.6272e-05 eta: 0:44:36 time: 0.5469 data_time: 0.0016 memory: 15585 loss: 0.0094 | |
| 2023/06/06 07:56:57 - mmengine - INFO - Epoch(train) [8][1600/1969] lr: 5.4279e-05 eta: 0:43:35 time: 0.5986 data_time: 0.0015 memory: 15585 loss: 0.0129 | |
| 2023/06/06 07:57:57 - mmengine - INFO - Epoch(train) [8][1700/1969] lr: 5.2324e-05 eta: 0:42:34 time: 0.7414 data_time: 0.0015 memory: 15585 loss: 0.0112 | |
| 2023/06/06 07:58:55 - mmengine - INFO - Epoch(train) [8][1800/1969] lr: 5.0408e-05 eta: 0:41:32 time: 0.5644 data_time: 0.0017 memory: 15585 loss: 0.0156 | |
| 2023/06/06 07:59:54 - mmengine - INFO - Epoch(train) [8][1900/1969] lr: 4.8532e-05 eta: 0:40:31 time: 0.5333 data_time: 0.0017 memory: 15585 loss: 0.0115 | |
| 2023/06/06 08:00:33 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1_20230606_051640 | |
| 2023/06/06 08:00:33 - mmengine - INFO - Saving checkpoint at 8 epochs | |
| 2023/06/06 08:01:08 - mmengine - INFO - Epoch(val) [8][29/29] accuracy/top1: 99.3528 single-label/precision_classwise: [99.016845703125, 99.77294158935547] single-label/recall_classwise: [99.81693267822266, 98.78294372558594] single-label/f1-score_classwise: [99.415283203125, 99.27548217773438] data_time: 0.2271 time: 0.6160 | |
| 2023/06/06 08:02:10 - mmengine - INFO - Epoch(train) [9][ 100/1969] lr: 4.5451e-05 eta: 0:38:48 time: 0.5428 data_time: 0.0097 memory: 15585 loss: 0.0150 | |
| 2023/06/06 08:03:06 - mmengine - INFO - Epoch(train) [9][ 200/1969] lr: 4.3683e-05 eta: 0:37:47 time: 0.5537 data_time: 0.0018 memory: 15585 loss: 0.0145 | |
| 2023/06/06 08:03:34 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1_20230606_051640 | |
| 2023/06/06 08:04:04 - mmengine - INFO - Epoch(train) [9][ 300/1969] lr: 4.1955e-05 eta: 0:36:45 time: 0.6048 data_time: 0.0018 memory: 15585 loss: 0.0176 | |
| 2023/06/06 08:04:59 - mmengine - INFO - Epoch(train) [9][ 400/1969] lr: 4.0269e-05 eta: 0:35:43 time: 0.5539 data_time: 0.0016 memory: 15585 loss: 0.0102 | |
| 2023/06/06 08:05:55 - mmengine - INFO - Epoch(train) [9][ 500/1969] lr: 3.8626e-05 eta: 0:34:42 time: 0.5768 data_time: 0.0016 memory: 15585 loss: 0.0150 | |
| 2023/06/06 08:06:52 - mmengine - INFO - Epoch(train) [9][ 600/1969] lr: 3.7024e-05 eta: 0:33:40 time: 0.5638 data_time: 0.0017 memory: 15585 loss: 0.0162 | |
| 2023/06/06 08:07:48 - mmengine - INFO - Epoch(train) [9][ 700/1969] lr: 3.5465e-05 eta: 0:32:39 time: 0.5511 data_time: 0.0018 memory: 15585 loss: 0.0131 | |
| 2023/06/06 08:08:44 - mmengine - INFO - Epoch(train) [9][ 800/1969] lr: 3.3950e-05 eta: 0:31:38 time: 0.5371 data_time: 0.0015 memory: 15585 loss: 0.0154 | |
| 2023/06/06 08:09:41 - mmengine - INFO - Epoch(train) [9][ 900/1969] lr: 3.2478e-05 eta: 0:30:37 time: 0.5488 data_time: 0.0017 memory: 15585 loss: 0.0070 | |
| 2023/06/06 08:10:38 - mmengine - INFO - Epoch(train) [9][1000/1969] lr: 3.1049e-05 eta: 0:29:36 time: 0.6144 data_time: 0.0017 memory: 15585 loss: 0.0131 | |
| 2023/06/06 08:11:36 - mmengine - INFO - Epoch(train) [9][1100/1969] lr: 2.9666e-05 eta: 0:28:35 time: 0.5919 data_time: 0.0019 memory: 15585 loss: 0.0121 | |
| 2023/06/06 08:12:32 - mmengine - INFO - Epoch(train) [9][1200/1969] lr: 2.8326e-05 eta: 0:27:34 time: 0.5686 data_time: 0.0018 memory: 15585 loss: 0.0113 | |
| 2023/06/06 08:13:00 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1_20230606_051640 | |
| 2023/06/06 08:13:30 - mmengine - INFO - Epoch(train) [9][1300/1969] lr: 2.7032e-05 eta: 0:26:33 time: 0.5744 data_time: 0.0018 memory: 15585 loss: 0.0135 | |
| 2023/06/06 08:14:26 - mmengine - INFO - Epoch(train) [9][1400/1969] lr: 2.5783e-05 eta: 0:25:32 time: 0.5824 data_time: 0.0017 memory: 15585 loss: 0.0134 | |
| 2023/06/06 08:15:24 - mmengine - INFO - Epoch(train) [9][1500/1969] lr: 2.4580e-05 eta: 0:24:31 time: 0.5801 data_time: 0.0017 memory: 15585 loss: 0.0147 | |
| 2023/06/06 08:16:23 - mmengine - INFO - Epoch(train) [9][1600/1969] lr: 2.3422e-05 eta: 0:23:30 time: 0.5650 data_time: 0.0017 memory: 15585 loss: 0.0157 | |
| 2023/06/06 08:17:20 - mmengine - INFO - Epoch(train) [9][1700/1969] lr: 2.2311e-05 eta: 0:22:30 time: 0.5444 data_time: 0.0015 memory: 15585 loss: 0.0141 | |
| 2023/06/06 08:18:16 - mmengine - INFO - Epoch(train) [9][1800/1969] lr: 2.1246e-05 eta: 0:21:29 time: 0.5492 data_time: 0.0016 memory: 15585 loss: 0.0111 | |
| 2023/06/06 08:19:11 - mmengine - INFO - Epoch(train) [9][1900/1969] lr: 2.0229e-05 eta: 0:20:28 time: 0.5414 data_time: 0.0019 memory: 15585 loss: 0.0082 | |
| 2023/06/06 08:19:50 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1_20230606_051640 | |
| 2023/06/06 08:19:50 - mmengine - INFO - Saving checkpoint at 9 epochs | |
| 2023/06/06 08:20:25 - mmengine - INFO - Epoch(val) [9][29/29] accuracy/top1: 99.4294 single-label/precision_classwise: [99.14728546142578, 99.78111267089844] single-label/recall_classwise: [99.8232421875, 98.94573974609375] single-label/f1-score_classwise: [99.48411560058594, 99.3616714477539] data_time: 0.2501 time: 0.6393 | |
| 2023/06/06 08:21:27 - mmengine - INFO - Epoch(train) [10][ 100/1969] lr: 1.8615e-05 eta: 0:18:46 time: 0.6204 data_time: 0.1034 memory: 15585 loss: 0.0098 | |
| 2023/06/06 08:22:24 - mmengine - INFO - Epoch(train) [10][ 200/1969] lr: 1.7725e-05 eta: 0:17:45 time: 0.5342 data_time: 0.0168 memory: 15585 loss: 0.0141 | |
| 2023/06/06 08:23:08 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1_20230606_051640 | |
| 2023/06/06 08:23:20 - mmengine - INFO - Epoch(train) [10][ 300/1969] lr: 1.6881e-05 eta: 0:16:45 time: 0.5726 data_time: 0.0014 memory: 15585 loss: 0.0077 | |
| 2023/06/06 08:24:17 - mmengine - INFO - Epoch(train) [10][ 400/1969] lr: 1.6086e-05 eta: 0:15:44 time: 0.5676 data_time: 0.0525 memory: 15585 loss: 0.0166 | |
| 2023/06/06 08:25:16 - mmengine - INFO - Epoch(train) [10][ 500/1969] lr: 1.5339e-05 eta: 0:14:44 time: 0.6158 data_time: 0.0996 memory: 15585 loss: 0.0131 | |
| 2023/06/06 08:26:13 - mmengine - INFO - Epoch(train) [10][ 600/1969] lr: 1.4640e-05 eta: 0:13:43 time: 0.5693 data_time: 0.0444 memory: 15585 loss: 0.0093 | |
| 2023/06/06 08:27:09 - mmengine - INFO - Epoch(train) [10][ 700/1969] lr: 1.3990e-05 eta: 0:12:43 time: 0.5392 data_time: 0.0248 memory: 15585 loss: 0.0223 | |
| 2023/06/06 08:28:07 - mmengine - INFO - Epoch(train) [10][ 800/1969] lr: 1.3388e-05 eta: 0:11:43 time: 0.6149 data_time: 0.0550 memory: 15585 loss: 0.0103 | |
| 2023/06/06 08:29:04 - mmengine - INFO - Epoch(train) [10][ 900/1969] lr: 1.2835e-05 eta: 0:10:42 time: 0.5793 data_time: 0.0016 memory: 15585 loss: 0.0098 | |
| 2023/06/06 08:30:00 - mmengine - INFO - Epoch(train) [10][1000/1969] lr: 1.2331e-05 eta: 0:09:42 time: 0.5574 data_time: 0.0015 memory: 15585 loss: 0.0161 | |
| 2023/06/06 08:31:02 - mmengine - INFO - Epoch(train) [10][1100/1969] lr: 1.1876e-05 eta: 0:08:42 time: 0.9886 data_time: 0.0016 memory: 15585 loss: 0.0103 | |
| 2023/06/06 08:31:58 - mmengine - INFO - Epoch(train) [10][1200/1969] lr: 1.1470e-05 eta: 0:07:42 time: 0.5682 data_time: 0.0018 memory: 15585 loss: 0.0150 | |
| 2023/06/06 08:32:42 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1_20230606_051640 | |
| 2023/06/06 08:32:54 - mmengine - INFO - Epoch(train) [10][1300/1969] lr: 1.1113e-05 eta: 0:06:41 time: 0.5546 data_time: 0.0017 memory: 15585 loss: 0.0123 | |
| 2023/06/06 08:33:51 - mmengine - INFO - Epoch(train) [10][1400/1969] lr: 1.0806e-05 eta: 0:05:41 time: 0.5908 data_time: 0.0017 memory: 15585 loss: 0.0085 | |
| 2023/06/06 08:34:48 - mmengine - INFO - Epoch(train) [10][1500/1969] lr: 1.0548e-05 eta: 0:04:41 time: 0.5833 data_time: 0.0016 memory: 15585 loss: 0.0115 | |
| 2023/06/06 08:35:44 - mmengine - INFO - Epoch(train) [10][1600/1969] lr: 1.0340e-05 eta: 0:03:41 time: 0.5510 data_time: 0.0016 memory: 15585 loss: 0.0117 | |
| 2023/06/06 08:36:41 - mmengine - INFO - Epoch(train) [10][1700/1969] lr: 1.0181e-05 eta: 0:02:41 time: 0.5503 data_time: 0.0019 memory: 15585 loss: 0.0106 | |
| 2023/06/06 08:37:37 - mmengine - INFO - Epoch(train) [10][1800/1969] lr: 1.0072e-05 eta: 0:01:41 time: 0.5223 data_time: 0.0017 memory: 15585 loss: 0.0187 | |
| 2023/06/06 08:38:33 - mmengine - INFO - Epoch(train) [10][1900/1969] lr: 1.0012e-05 eta: 0:00:41 time: 0.5330 data_time: 0.0016 memory: 15585 loss: 0.0096 | |
| 2023/06/06 08:39:17 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_5e-1_20230606_051640 | |
| 2023/06/06 08:39:17 - mmengine - INFO - Saving checkpoint at 10 epochs | |
| 2023/06/06 08:39:52 - mmengine - INFO - Epoch(val) [10][29/29] accuracy/top1: 99.4155 single-label/precision_classwise: [99.1964340209961, 99.68778991699219] single-label/recall_classwise: [99.74748992919922, 99.00775146484375] single-label/f1-score_classwise: [99.47119903564453, 99.34661102294922] data_time: 0.2342 time: 0.6225 | |