Sentry_image_models
/
convnext_small_4xb256_IF_1m_lr4e-4_aug_1e-1
/20230606_050018
/20230606_050018.log
| 2023/06/06 05:00:22 - 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: 215766092 | |
| 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 05:00:25 - 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=0.1), | |
| dict(type='GaussianBlur', radius=1.5, prob=0.1), | |
| 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=0.1), | |
| dict(type='GaussianBlur', radius=1.5, prob=0.1), | |
| 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=0.1), | |
| dict(type='GaussianBlur', radius=1.5, prob=0.1), | |
| 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=0.1), | |
| dict(type='GaussianBlur', radius=1.5, prob=0.1), | |
| 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=0.1), | |
| dict(type='GaussianBlur', radius=1.5, prob=0.1), | |
| 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=0.1), | |
| dict(type='GaussianBlur', radius=1.5, prob=0.1), | |
| 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=0.1), | |
| dict(type='GaussianBlur', radius=1.5, prob=0.1), | |
| 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=0.1), | |
| dict(type='GaussianBlur', radius=1.5, prob=0.1), | |
| 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_1e-1' | |
| 2023/06/06 05:00:35 - 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 05:00:48 - mmengine - INFO - paramwise_options -- backbone.downsample_layers.2.0.weight:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.downsample_layers.2.0.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.downsample_layers.2.1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.downsample_layers.3.0.weight:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.downsample_layers.3.0.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.downsample_layers.3.1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.0.gamma:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.0.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.0.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.0.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.0.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.0.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.1.gamma:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.1.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.1.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.1.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.1.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.1.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.2.gamma:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.2.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.2.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.2.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.2.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.2.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.3.gamma:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.3.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.3.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.3.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.3.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.3.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.4.gamma:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.4.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.4.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.4.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.4.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.4.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.5.gamma:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.5.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.5.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.5.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.5.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.5.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.6.gamma:weight_decay=0.0 | |
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| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.6.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.6.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.7.gamma:weight_decay=0.0 | |
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| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.7.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.7.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.7.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.8.gamma:weight_decay=0.0 | |
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| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.8.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.8.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.8.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.9.gamma:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.9.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.9.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.9.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.9.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.9.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.10.gamma:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.10.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.10.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.10.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.10.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.10.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.11.gamma:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.11.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.11.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.11.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.11.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.11.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.12.gamma:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.12.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.12.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.12.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.12.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.12.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.13.gamma:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.13.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.13.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.13.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.13.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.13.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.14.gamma:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.14.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.14.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.14.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.14.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.14.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.15.gamma:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.15.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.15.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.15.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.15.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.15.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.16.gamma:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.16.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.16.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.16.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.16.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.16.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.17.gamma:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.17.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.17.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.17.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.17.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.17.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.18.gamma:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.18.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.18.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.18.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.18.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.18.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.19.gamma:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.19.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.19.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.19.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.19.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.19.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.20.gamma:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.20.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.20.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.20.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.20.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.20.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.21.gamma:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.21.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.21.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.21.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.21.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.21.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.22.gamma:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.22.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.22.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.22.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.22.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.22.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.23.gamma:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.23.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.23.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.23.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.23.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.23.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.24.gamma:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.24.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.24.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.24.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.24.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.24.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.25.gamma:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.25.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.25.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.25.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.25.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.25.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.26.gamma:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.26.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.26.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.26.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.26.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.2.26.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.3.0.gamma:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.3.0.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.3.0.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.3.0.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.3.0.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.3.0.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.3.1.gamma:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.3.1.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.3.1.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.3.1.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.3.1.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.3.1.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.3.2.gamma:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.3.2.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.3.2.norm.weight:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.3.2.norm.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.3.2.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.stages.3.2.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.norm3.weight:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- backbone.norm3.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:48 - mmengine - INFO - paramwise_options -- head.fc.bias:weight_decay=0.0 | |
| 2023/06/06 05:00:52 - 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 05:00:53 - 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 05:00:53 - mmengine - WARNING - "HardDiskBackend" is the alias of "LocalBackend" and the former will be deprecated in future. | |
| 2023/06/06 05:00:53 - mmengine - INFO - Checkpoints will be saved to /mnt/petrelfs/luzeyu/workspace/fakebench/mmpretrain/workdir/convnext_small_4xb256_IF_1m_lr4e-4_aug_1e-1. | |
| 2023/06/06 05:01:53 - mmengine - INFO - Epoch(train) [1][ 100/1969] lr: 3.9998e-04 eta: 3:17:58 time: 0.5191 data_time: 0.0018 memory: 15578 loss: 0.0276 | |
| 2023/06/06 05:02:48 - mmengine - INFO - Epoch(train) [1][ 200/1969] lr: 3.9990e-04 eta: 3:07:02 time: 0.5323 data_time: 0.0019 memory: 15578 loss: 0.0272 | |
| 2023/06/06 05:03:40 - mmengine - INFO - Epoch(train) [1][ 300/1969] lr: 3.9978e-04 eta: 2:59:52 time: 0.5156 data_time: 0.0018 memory: 15578 loss: 0.0233 | |
| 2023/06/06 05:04:32 - mmengine - INFO - Epoch(train) [1][ 400/1969] lr: 3.9960e-04 eta: 2:56:05 time: 0.5271 data_time: 0.0020 memory: 15578 loss: 0.0200 | |
| 2023/06/06 05:05:24 - mmengine - INFO - Epoch(train) [1][ 500/1969] lr: 3.9938e-04 eta: 2:53:17 time: 0.5171 data_time: 0.0019 memory: 15578 loss: 0.0201 | |
| 2023/06/06 05:06:16 - mmengine - INFO - Epoch(train) [1][ 600/1969] lr: 3.9911e-04 eta: 2:51:14 time: 0.5175 data_time: 0.0021 memory: 15578 loss: 0.0169 | |
| 2023/06/06 05:07:07 - mmengine - INFO - Epoch(train) [1][ 700/1969] lr: 3.9879e-04 eta: 2:49:25 time: 0.5222 data_time: 0.0018 memory: 15578 loss: 0.0140 | |
| 2023/06/06 05:08:00 - mmengine - INFO - Epoch(train) [1][ 800/1969] lr: 3.9842e-04 eta: 2:47:56 time: 0.5156 data_time: 0.0016 memory: 15578 loss: 0.0139 | |
| 2023/06/06 05:08:51 - mmengine - INFO - Epoch(train) [1][ 900/1969] lr: 3.9800e-04 eta: 2:46:27 time: 0.5159 data_time: 0.0017 memory: 15578 loss: 0.0138 | |
| 2023/06/06 05:09:43 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_1e-1_20230606_050018 | |
| 2023/06/06 05:09:43 - mmengine - INFO - Epoch(train) [1][1000/1969] lr: 3.9753e-04 eta: 2:45:12 time: 0.5156 data_time: 0.0019 memory: 15578 loss: 0.0190 | |
| 2023/06/06 05:10:35 - mmengine - INFO - Epoch(train) [1][1100/1969] lr: 3.9701e-04 eta: 2:43:56 time: 0.5165 data_time: 0.0017 memory: 15578 loss: 0.0113 | |
| 2023/06/06 05:11:27 - mmengine - INFO - Epoch(train) [1][1200/1969] lr: 3.9644e-04 eta: 2:42:46 time: 0.5162 data_time: 0.0017 memory: 15578 loss: 0.0147 | |
| 2023/06/06 05:12:18 - mmengine - INFO - Epoch(train) [1][1300/1969] lr: 3.9583e-04 eta: 2:41:38 time: 0.5205 data_time: 0.0017 memory: 15578 loss: 0.0091 | |
| 2023/06/06 05:13:10 - mmengine - INFO - Epoch(train) [1][1400/1969] lr: 3.9516e-04 eta: 2:40:34 time: 0.5156 data_time: 0.0016 memory: 15578 loss: 0.0160 | |
| 2023/06/06 05:14:02 - mmengine - INFO - Epoch(train) [1][1500/1969] lr: 3.9445e-04 eta: 2:39:35 time: 0.5266 data_time: 0.0017 memory: 15578 loss: 0.0193 | |
| 2023/06/06 05:14:54 - mmengine - INFO - Epoch(train) [1][1600/1969] lr: 3.9369e-04 eta: 2:38:34 time: 0.5160 data_time: 0.0016 memory: 15578 loss: 0.0182 | |
| 2023/06/06 05:15:46 - mmengine - INFO - Epoch(train) [1][1700/1969] lr: 3.9288e-04 eta: 2:37:35 time: 0.5178 data_time: 0.0016 memory: 15578 loss: 0.0126 | |
| 2023/06/06 05:16:38 - mmengine - INFO - Epoch(train) [1][1800/1969] lr: 3.9202e-04 eta: 2:36:36 time: 0.5148 data_time: 0.0017 memory: 15578 loss: 0.0199 | |
| 2023/06/06 05:17:30 - mmengine - INFO - Epoch(train) [1][1900/1969] lr: 3.9112e-04 eta: 2:35:36 time: 0.5147 data_time: 0.0015 memory: 15578 loss: 0.0129 | |
| 2023/06/06 05:18:05 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_1e-1_20230606_050018 | |
| 2023/06/06 05:18:05 - mmengine - INFO - Saving checkpoint at 1 epochs | |
| 2023/06/06 05:18:38 - mmengine - INFO - Epoch(val) [1][29/29] accuracy/top1: 96.2527 single-label/precision_classwise: [95.33283996582031, 97.45524597167969] single-label/recall_classwise: [97.99886322021484, 94.10852813720703] single-label/f1-score_classwise: [96.64746856689453, 95.75265502929688] data_time: 0.1395 time: 0.6055 | |
| 2023/06/06 05:19:04 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_1e-1_20230606_050018 | |
| 2023/06/06 05:19:41 - mmengine - INFO - Epoch(train) [2][ 100/1969] lr: 3.8948e-04 eta: 2:35:31 time: 0.5443 data_time: 0.0289 memory: 15578 loss: 0.0155 | |
| 2023/06/06 05:20:42 - mmengine - INFO - Epoch(train) [2][ 200/1969] lr: 3.8845e-04 eta: 2:35:45 time: 0.5310 data_time: 0.0016 memory: 15575 loss: 0.0102 | |
| 2023/06/06 05:21:36 - mmengine - INFO - Epoch(train) [2][ 300/1969] lr: 3.8737e-04 eta: 2:34:54 time: 0.5833 data_time: 0.0356 memory: 15575 loss: 0.0151 | |
| 2023/06/06 05:22:30 - mmengine - INFO - Epoch(train) [2][ 400/1969] lr: 3.8625e-04 eta: 2:34:07 time: 0.5234 data_time: 0.0017 memory: 15575 loss: 0.0146 | |
| 2023/06/06 05:23:23 - mmengine - INFO - Epoch(train) [2][ 500/1969] lr: 3.8508e-04 eta: 2:33:14 time: 0.5206 data_time: 0.0016 memory: 15575 loss: 0.0144 | |
| 2023/06/06 05:24:22 - mmengine - INFO - Epoch(train) [2][ 600/1969] lr: 3.8386e-04 eta: 2:32:57 time: 0.5145 data_time: 0.0016 memory: 15575 loss: 0.0123 | |
| 2023/06/06 05:25:27 - mmengine - INFO - Epoch(train) [2][ 700/1969] lr: 3.8260e-04 eta: 2:33:16 time: 1.0784 data_time: 0.2809 memory: 15575 loss: 0.0136 | |
| 2023/06/06 05:26:21 - mmengine - INFO - Epoch(train) [2][ 800/1969] lr: 3.8129e-04 eta: 2:32:22 time: 0.6251 data_time: 0.0018 memory: 15575 loss: 0.0075 | |
| 2023/06/06 05:27:14 - mmengine - INFO - Epoch(train) [2][ 900/1969] lr: 3.7994e-04 eta: 2:31:23 time: 0.5329 data_time: 0.0015 memory: 15575 loss: 0.0121 | |
| 2023/06/06 05:28:08 - mmengine - INFO - Epoch(train) [2][1000/1969] lr: 3.7854e-04 eta: 2:30:29 time: 0.7000 data_time: 0.0015 memory: 15575 loss: 0.0114 | |
| 2023/06/06 05:28:25 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_1e-1_20230606_050018 | |
| 2023/06/06 05:29:03 - mmengine - INFO - Epoch(train) [2][1100/1969] lr: 3.7710e-04 eta: 2:29:37 time: 0.5768 data_time: 0.0016 memory: 15575 loss: 0.0136 | |
| 2023/06/06 05:29:56 - mmengine - INFO - Epoch(train) [2][1200/1969] lr: 3.7562e-04 eta: 2:28:38 time: 0.5170 data_time: 0.0016 memory: 15575 loss: 0.0149 | |
| 2023/06/06 05:30:51 - mmengine - INFO - Epoch(train) [2][1300/1969] lr: 3.7409e-04 eta: 2:27:48 time: 0.5152 data_time: 0.0015 memory: 15575 loss: 0.0066 | |
| 2023/06/06 05:31:44 - mmengine - INFO - Epoch(train) [2][1400/1969] lr: 3.7252e-04 eta: 2:26:50 time: 0.5232 data_time: 0.0017 memory: 15575 loss: 0.0142 | |
| 2023/06/06 05:32:38 - mmengine - INFO - Epoch(train) [2][1500/1969] lr: 3.7090e-04 eta: 2:25:56 time: 0.5400 data_time: 0.0259 memory: 15575 loss: 0.0122 | |
| 2023/06/06 05:33:31 - mmengine - INFO - Epoch(train) [2][1600/1969] lr: 3.6925e-04 eta: 2:25:00 time: 0.5146 data_time: 0.0015 memory: 15575 loss: 0.0069 | |
| 2023/06/06 05:35:56 - mmengine - INFO - Epoch(train) [2][1700/1969] lr: 3.6755e-04 eta: 2:30:44 time: 9.8493 data_time: 9.3115 memory: 15575 loss: 0.0122 | |
| 2023/06/06 05:36:50 - mmengine - INFO - Epoch(train) [2][1800/1969] lr: 3.6581e-04 eta: 2:29:37 time: 0.5151 data_time: 0.0015 memory: 15575 loss: 0.0142 | |
| 2023/06/06 05:37:44 - mmengine - INFO - Epoch(train) [2][1900/1969] lr: 3.6403e-04 eta: 2:28:30 time: 0.5575 data_time: 0.0017 memory: 15575 loss: 0.0105 | |
| 2023/06/06 05:38:21 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_1e-1_20230606_050018 | |
| 2023/06/06 05:38:21 - mmengine - INFO - Saving checkpoint at 2 epochs | |
| 2023/06/06 05:38:52 - mmengine - INFO - Epoch(val) [2][29/29] accuracy/top1: 98.8031 single-label/precision_classwise: [98.09446716308594, 99.70704650878906] single-label/recall_classwise: [99.76642608642578, 97.62015533447266] single-label/f1-score_classwise: [98.92337799072266, 98.65255737304688] data_time: 0.1627 time: 0.5490 | |
| 2023/06/06 05:39:34 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_1e-1_20230606_050018 | |
| 2023/06/06 05:39:54 - mmengine - INFO - Epoch(train) [3][ 100/1969] lr: 3.6093e-04 eta: 2:27:09 time: 0.5472 data_time: 0.0015 memory: 15575 loss: 0.0087 | |
| 2023/06/06 05:40:49 - mmengine - INFO - Epoch(train) [3][ 200/1969] lr: 3.5904e-04 eta: 2:26:05 time: 0.5169 data_time: 0.0020 memory: 15575 loss: 0.0096 | |
| 2023/06/06 05:41:41 - mmengine - INFO - Epoch(train) [3][ 300/1969] lr: 3.5711e-04 eta: 2:24:52 time: 0.5255 data_time: 0.0014 memory: 15575 loss: 0.0089 | |
| 2023/06/06 05:42:34 - mmengine - INFO - Epoch(train) [3][ 400/1969] lr: 3.5515e-04 eta: 2:23:46 time: 0.5239 data_time: 0.0015 memory: 15575 loss: 0.0153 | |
| 2023/06/06 05:43:27 - mmengine - INFO - Epoch(train) [3][ 500/1969] lr: 3.5314e-04 eta: 2:22:39 time: 0.5234 data_time: 0.0015 memory: 15575 loss: 0.0166 | |
| 2023/06/06 05:44:20 - mmengine - INFO - Epoch(train) [3][ 600/1969] lr: 3.5110e-04 eta: 2:21:32 time: 0.5160 data_time: 0.0014 memory: 15575 loss: 0.0132 | |
| 2023/06/06 05:45:12 - mmengine - INFO - Epoch(train) [3][ 700/1969] lr: 3.4902e-04 eta: 2:20:23 time: 0.5216 data_time: 0.0014 memory: 15575 loss: 0.0061 | |
| 2023/06/06 05:46:05 - mmengine - INFO - Epoch(train) [3][ 800/1969] lr: 3.4691e-04 eta: 2:19:18 time: 0.5343 data_time: 0.0016 memory: 15575 loss: 0.0122 | |
| 2023/06/06 05:46:58 - mmengine - INFO - Epoch(train) [3][ 900/1969] lr: 3.4475e-04 eta: 2:18:14 time: 0.5542 data_time: 0.0017 memory: 15575 loss: 0.0134 | |
| 2023/06/06 05:47:52 - mmengine - INFO - Epoch(train) [3][1000/1969] lr: 3.4257e-04 eta: 2:17:13 time: 0.5288 data_time: 0.0016 memory: 15575 loss: 0.0143 | |
| 2023/06/06 05:48:26 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_1e-1_20230606_050018 | |
| 2023/06/06 05:48:46 - mmengine - INFO - Epoch(train) [3][1100/1969] lr: 3.4034e-04 eta: 2:16:11 time: 0.5186 data_time: 0.0016 memory: 15575 loss: 0.0137 | |
| 2023/06/06 05:49:39 - mmengine - INFO - Epoch(train) [3][1200/1969] lr: 3.3809e-04 eta: 2:15:07 time: 0.5228 data_time: 0.0020 memory: 15575 loss: 0.0126 | |
| 2023/06/06 05:50:32 - mmengine - INFO - Epoch(train) [3][1300/1969] lr: 3.3580e-04 eta: 2:14:04 time: 0.5421 data_time: 0.0016 memory: 15575 loss: 0.0049 | |
| 2023/06/06 05:51:26 - mmengine - INFO - Epoch(train) [3][1400/1969] lr: 3.3347e-04 eta: 2:13:04 time: 0.5370 data_time: 0.0015 memory: 15575 loss: 0.0121 | |
| 2023/06/06 05:52:18 - mmengine - INFO - Epoch(train) [3][1500/1969] lr: 3.3112e-04 eta: 2:11:59 time: 0.5184 data_time: 0.0016 memory: 15575 loss: 0.0083 | |
| 2023/06/06 05:53:11 - mmengine - INFO - Epoch(train) [3][1600/1969] lr: 3.2873e-04 eta: 2:10:55 time: 0.5149 data_time: 0.0016 memory: 15575 loss: 0.0123 | |
| 2023/06/06 05:54:03 - mmengine - INFO - Epoch(train) [3][1700/1969] lr: 3.2631e-04 eta: 2:09:52 time: 0.5159 data_time: 0.0017 memory: 15575 loss: 0.0152 | |
| 2023/06/06 05:55:08 - mmengine - INFO - Epoch(train) [3][1800/1969] lr: 3.2385e-04 eta: 2:09:19 time: 0.5275 data_time: 0.0146 memory: 15575 loss: 0.0131 | |
| 2023/06/06 05:56:00 - mmengine - INFO - Epoch(train) [3][1900/1969] lr: 3.2137e-04 eta: 2:08:15 time: 0.5170 data_time: 0.0015 memory: 15575 loss: 0.0084 | |
| 2023/06/06 05:56:35 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_1e-1_20230606_050018 | |
| 2023/06/06 05:56:35 - mmengine - INFO - Saving checkpoint at 3 epochs | |
| 2023/06/06 05:57:03 - mmengine - INFO - Epoch(val) [3][29/29] accuracy/top1: 99.2485 single-label/precision_classwise: [98.72762298583984, 99.90557098388672] single-label/recall_classwise: [99.92424774169922, 98.4186019897461] single-label/f1-score_classwise: [99.32232666015625, 99.15650939941406] data_time: 0.0524 time: 0.4355 | |
| 2023/06/06 05:57:56 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_1e-1_20230606_050018 | |
| 2023/06/06 05:58:00 - mmengine - INFO - Epoch(train) [4][ 100/1969] lr: 3.1711e-04 eta: 2:06:37 time: 0.5155 data_time: 0.0017 memory: 15575 loss: 0.0074 | |
| 2023/06/06 05:58:52 - mmengine - INFO - Epoch(train) [4][ 200/1969] lr: 3.1455e-04 eta: 2:05:33 time: 0.5166 data_time: 0.0014 memory: 15575 loss: 0.0124 | |
| 2023/06/06 05:59:44 - mmengine - INFO - Epoch(train) [4][ 300/1969] lr: 3.1196e-04 eta: 2:04:30 time: 0.5158 data_time: 0.0016 memory: 15575 loss: 0.0079 | |
| 2023/06/06 06:00:35 - mmengine - INFO - Epoch(train) [4][ 400/1969] lr: 3.0935e-04 eta: 2:03:27 time: 0.5182 data_time: 0.0016 memory: 15575 loss: 0.0116 | |
| 2023/06/06 06:01:27 - mmengine - INFO - Epoch(train) [4][ 500/1969] lr: 3.0671e-04 eta: 2:02:24 time: 0.5150 data_time: 0.0015 memory: 15575 loss: 0.0080 | |
| 2023/06/06 06:02:19 - mmengine - INFO - Epoch(train) [4][ 600/1969] lr: 3.0404e-04 eta: 2:01:22 time: 0.5186 data_time: 0.0014 memory: 15575 loss: 0.0074 | |
| 2023/06/06 06:03:11 - mmengine - INFO - Epoch(train) [4][ 700/1969] lr: 3.0135e-04 eta: 2:00:20 time: 0.5151 data_time: 0.0016 memory: 15575 loss: 0.0131 | |
| 2023/06/06 06:04:03 - mmengine - INFO - Epoch(train) [4][ 800/1969] lr: 2.9863e-04 eta: 1:59:18 time: 0.5164 data_time: 0.0016 memory: 15575 loss: 0.0086 | |
| 2023/06/06 06:04:54 - mmengine - INFO - Epoch(train) [4][ 900/1969] lr: 2.9589e-04 eta: 1:58:17 time: 0.5147 data_time: 0.0016 memory: 15575 loss: 0.0058 | |
| 2023/06/06 06:05:46 - mmengine - INFO - Epoch(train) [4][1000/1969] lr: 2.9313e-04 eta: 1:57:16 time: 0.5156 data_time: 0.0015 memory: 15575 loss: 0.0094 | |
| 2023/06/06 06:06:35 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_1e-1_20230606_050018 | |
| 2023/06/06 06:06:38 - mmengine - INFO - Epoch(train) [4][1100/1969] lr: 2.9034e-04 eta: 1:56:15 time: 0.5153 data_time: 0.0016 memory: 15575 loss: 0.0115 | |
| 2023/06/06 06:07:30 - mmengine - INFO - Epoch(train) [4][1200/1969] lr: 2.8753e-04 eta: 1:55:14 time: 0.5146 data_time: 0.0015 memory: 15575 loss: 0.0070 | |
| 2023/06/06 06:08:21 - mmengine - INFO - Epoch(train) [4][1300/1969] lr: 2.8470e-04 eta: 1:54:13 time: 0.5149 data_time: 0.0014 memory: 15575 loss: 0.0113 | |
| 2023/06/06 06:09:13 - mmengine - INFO - Epoch(train) [4][1400/1969] lr: 2.8185e-04 eta: 1:53:13 time: 0.5161 data_time: 0.0016 memory: 15575 loss: 0.0062 | |
| 2023/06/06 06:10:05 - mmengine - INFO - Epoch(train) [4][1500/1969] lr: 2.7898e-04 eta: 1:52:13 time: 0.5146 data_time: 0.0016 memory: 15575 loss: 0.0064 | |
| 2023/06/06 06:10:57 - mmengine - INFO - Epoch(train) [4][1600/1969] lr: 2.7610e-04 eta: 1:51:13 time: 0.5230 data_time: 0.0020 memory: 15575 loss: 0.0088 | |
| 2023/06/06 06:11:48 - mmengine - INFO - Epoch(train) [4][1700/1969] lr: 2.7319e-04 eta: 1:50:14 time: 0.5147 data_time: 0.0015 memory: 15575 loss: 0.0099 | |
| 2023/06/06 06:12:40 - mmengine - INFO - Epoch(train) [4][1800/1969] lr: 2.7027e-04 eta: 1:49:14 time: 0.5196 data_time: 0.0015 memory: 15575 loss: 0.0146 | |
| 2023/06/06 06:13:32 - mmengine - INFO - Epoch(train) [4][1900/1969] lr: 2.6733e-04 eta: 1:48:15 time: 0.5275 data_time: 0.0014 memory: 15575 loss: 0.0130 | |
| 2023/06/06 06:14:07 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_1e-1_20230606_050018 | |
| 2023/06/06 06:14:07 - mmengine - INFO - Saving checkpoint at 4 epochs | |
| 2023/06/06 06:14:38 - mmengine - INFO - Epoch(val) [4][29/29] accuracy/top1: 99.3772 single-label/precision_classwise: [98.95598602294922, 99.90584564208984] single-label/recall_classwise: [99.92424774169922, 98.70542907714844] single-label/f1-score_classwise: [99.43775939941406, 99.30200958251953] data_time: 0.1419 time: 0.5246 | |
| 2023/06/06 06:15:35 - mmengine - INFO - Epoch(train) [5][ 100/1969] lr: 2.6232e-04 eta: 1:46:43 time: 0.5156 data_time: 0.0016 memory: 15575 loss: 0.0123 | |
| 2023/06/06 06:15:47 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_1e-1_20230606_050018 | |
| 2023/06/06 06:16:27 - mmengine - INFO - Epoch(train) [5][ 200/1969] lr: 2.5934e-04 eta: 1:45:44 time: 0.5150 data_time: 0.0016 memory: 15575 loss: 0.0134 | |
| 2023/06/06 06:17:18 - mmengine - INFO - Epoch(train) [5][ 300/1969] lr: 2.5635e-04 eta: 1:44:45 time: 0.5153 data_time: 0.0016 memory: 15575 loss: 0.0065 | |
| 2023/06/06 06:18:10 - mmengine - INFO - Epoch(train) [5][ 400/1969] lr: 2.5334e-04 eta: 1:43:47 time: 0.5196 data_time: 0.0016 memory: 15575 loss: 0.0108 | |
| 2023/06/06 06:19:02 - mmengine - INFO - Epoch(train) [5][ 500/1969] lr: 2.5032e-04 eta: 1:42:48 time: 0.5149 data_time: 0.0015 memory: 15575 loss: 0.0088 | |
| 2023/06/06 06:19:54 - mmengine - INFO - Epoch(train) [5][ 600/1969] lr: 2.4729e-04 eta: 1:41:50 time: 0.5263 data_time: 0.0015 memory: 15575 loss: 0.0063 | |
| 2023/06/06 06:20:46 - mmengine - INFO - Epoch(train) [5][ 700/1969] lr: 2.4424e-04 eta: 1:40:52 time: 0.5154 data_time: 0.0015 memory: 15575 loss: 0.0079 | |
| 2023/06/06 06:21:37 - mmengine - INFO - Epoch(train) [5][ 800/1969] lr: 2.4119e-04 eta: 1:39:54 time: 0.5215 data_time: 0.0015 memory: 15575 loss: 0.0048 | |
| 2023/06/06 06:22:29 - mmengine - INFO - Epoch(train) [5][ 900/1969] lr: 2.3813e-04 eta: 1:38:57 time: 0.5149 data_time: 0.0015 memory: 15575 loss: 0.0070 | |
| 2023/06/06 06:23:21 - mmengine - INFO - Epoch(train) [5][1000/1969] lr: 2.3506e-04 eta: 1:37:59 time: 0.5176 data_time: 0.0015 memory: 15575 loss: 0.0110 | |
| 2023/06/06 06:24:13 - mmengine - INFO - Epoch(train) [5][1100/1969] lr: 2.3198e-04 eta: 1:37:01 time: 0.5148 data_time: 0.0015 memory: 15575 loss: 0.0076 | |
| 2023/06/06 06:24:25 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_1e-1_20230606_050018 | |
| 2023/06/06 06:25:04 - mmengine - INFO - Epoch(train) [5][1200/1969] lr: 2.2890e-04 eta: 1:36:04 time: 0.5237 data_time: 0.0016 memory: 15575 loss: 0.0087 | |
| 2023/06/06 06:25:56 - mmengine - INFO - Epoch(train) [5][1300/1969] lr: 2.2581e-04 eta: 1:35:07 time: 0.5152 data_time: 0.0015 memory: 15575 loss: 0.0083 | |
| 2023/06/06 06:26:48 - mmengine - INFO - Epoch(train) [5][1400/1969] lr: 2.2271e-04 eta: 1:34:09 time: 0.5195 data_time: 0.0016 memory: 15575 loss: 0.0099 | |
| 2023/06/06 06:27:39 - mmengine - INFO - Epoch(train) [5][1500/1969] lr: 2.1961e-04 eta: 1:33:12 time: 0.5150 data_time: 0.0017 memory: 15575 loss: 0.0069 | |
| 2023/06/06 06:28:31 - mmengine - INFO - Epoch(train) [5][1600/1969] lr: 2.1651e-04 eta: 1:32:16 time: 0.5200 data_time: 0.0017 memory: 15575 loss: 0.0072 | |
| 2023/06/06 06:29:23 - mmengine - INFO - Epoch(train) [5][1700/1969] lr: 2.1340e-04 eta: 1:31:19 time: 0.5150 data_time: 0.0015 memory: 15575 loss: 0.0115 | |
| 2023/06/06 06:30:15 - mmengine - INFO - Epoch(train) [5][1800/1969] lr: 2.1029e-04 eta: 1:30:22 time: 0.5204 data_time: 0.0014 memory: 15575 loss: 0.0060 | |
| 2023/06/06 06:31:07 - mmengine - INFO - Epoch(train) [5][1900/1969] lr: 2.0718e-04 eta: 1:29:26 time: 0.5229 data_time: 0.0015 memory: 15575 loss: 0.0060 | |
| 2023/06/06 06:31:42 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_1e-1_20230606_050018 | |
| 2023/06/06 06:31:42 - mmengine - INFO - Saving checkpoint at 5 epochs | |
| 2023/06/06 06:32:11 - mmengine - INFO - Epoch(val) [5][29/29] accuracy/top1: 99.5616 single-label/precision_classwise: [99.2911376953125, 99.8984375] single-label/recall_classwise: [99.91793823242188, 99.12403106689453] single-label/f1-score_classwise: [99.60355377197266, 99.50973510742188] data_time: 0.0743 time: 0.4616 | |
| 2023/06/06 06:33:09 - mmengine - INFO - Epoch(train) [6][ 100/1969] lr: 2.0192e-04 eta: 1:27:56 time: 0.5155 data_time: 0.0017 memory: 15575 loss: 0.0088 | |
| 2023/06/06 06:33:37 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_1e-1_20230606_050018 | |
| 2023/06/06 06:34:01 - mmengine - INFO - Epoch(train) [6][ 200/1969] lr: 1.9881e-04 eta: 1:27:00 time: 0.5151 data_time: 0.0017 memory: 15575 loss: 0.0091 | |
| 2023/06/06 06:34:53 - mmengine - INFO - Epoch(train) [6][ 300/1969] lr: 1.9570e-04 eta: 1:26:03 time: 0.5162 data_time: 0.0017 memory: 15575 loss: 0.0115 | |
| 2023/06/06 06:35:44 - mmengine - INFO - Epoch(train) [6][ 400/1969] lr: 1.9259e-04 eta: 1:25:07 time: 0.5160 data_time: 0.0018 memory: 15575 loss: 0.0093 | |
| 2023/06/06 06:36:42 - mmengine - INFO - Epoch(train) [6][ 500/1969] lr: 1.8949e-04 eta: 1:24:16 time: 0.5230 data_time: 0.0016 memory: 15575 loss: 0.0096 | |
| 2023/06/06 06:37:33 - mmengine - INFO - Epoch(train) [6][ 600/1969] lr: 1.8639e-04 eta: 1:23:20 time: 0.5279 data_time: 0.0015 memory: 15575 loss: 0.0081 | |
| 2023/06/06 06:38:25 - mmengine - INFO - Epoch(train) [6][ 700/1969] lr: 1.8330e-04 eta: 1:22:23 time: 0.5157 data_time: 0.0014 memory: 15575 loss: 0.0115 | |
| 2023/06/06 06:39:17 - mmengine - INFO - Epoch(train) [6][ 800/1969] lr: 1.8021e-04 eta: 1:21:28 time: 0.5202 data_time: 0.0019 memory: 15575 loss: 0.0095 | |
| 2023/06/06 06:40:09 - mmengine - INFO - Epoch(train) [6][ 900/1969] lr: 1.7713e-04 eta: 1:20:32 time: 0.5150 data_time: 0.0016 memory: 15575 loss: 0.0050 | |
| 2023/06/06 06:41:01 - mmengine - INFO - Epoch(train) [6][1000/1969] lr: 1.7405e-04 eta: 1:19:36 time: 0.5304 data_time: 0.0017 memory: 15575 loss: 0.0065 | |
| 2023/06/06 06:41:53 - mmengine - INFO - Epoch(train) [6][1100/1969] lr: 1.7098e-04 eta: 1:18:40 time: 0.5151 data_time: 0.0017 memory: 15575 loss: 0.0081 | |
| 2023/06/06 06:42:21 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_1e-1_20230606_050018 | |
| 2023/06/06 06:42:45 - mmengine - INFO - Epoch(train) [6][1200/1969] lr: 1.6792e-04 eta: 1:17:45 time: 0.5237 data_time: 0.0019 memory: 15575 loss: 0.0069 | |
| 2023/06/06 06:43:36 - mmengine - INFO - Epoch(train) [6][1300/1969] lr: 1.6487e-04 eta: 1:16:49 time: 0.5151 data_time: 0.0017 memory: 15575 loss: 0.0066 | |
| 2023/06/06 06:44:28 - mmengine - INFO - Epoch(train) [6][1400/1969] lr: 1.6183e-04 eta: 1:15:53 time: 0.5165 data_time: 0.0018 memory: 15575 loss: 0.0040 | |
| 2023/06/06 06:45:20 - mmengine - INFO - Epoch(train) [6][1500/1969] lr: 1.5881e-04 eta: 1:14:58 time: 0.5148 data_time: 0.0017 memory: 15575 loss: 0.0070 | |
| 2023/06/06 06:46:12 - mmengine - INFO - Epoch(train) [6][1600/1969] lr: 1.5579e-04 eta: 1:14:03 time: 0.5205 data_time: 0.0018 memory: 15575 loss: 0.0062 | |
| 2023/06/06 06:47:04 - mmengine - INFO - Epoch(train) [6][1700/1969] lr: 1.5278e-04 eta: 1:13:07 time: 0.5165 data_time: 0.0015 memory: 15575 loss: 0.0080 | |
| 2023/06/06 06:47:55 - mmengine - INFO - Epoch(train) [6][1800/1969] lr: 1.4979e-04 eta: 1:12:12 time: 0.5187 data_time: 0.0017 memory: 15575 loss: 0.0077 | |
| 2023/06/06 06:48:47 - mmengine - INFO - Epoch(train) [6][1900/1969] lr: 1.4682e-04 eta: 1:11:17 time: 0.5151 data_time: 0.0017 memory: 15575 loss: 0.0091 | |
| 2023/06/06 06:49:23 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_1e-1_20230606_050018 | |
| 2023/06/06 06:49:23 - mmengine - INFO - Saving checkpoint at 6 epochs | |
| 2023/06/06 06:49:55 - mmengine - INFO - Epoch(val) [6][29/29] accuracy/top1: 99.6555 single-label/precision_classwise: [99.45337677001953, 99.90643310546875] single-label/recall_classwise: [99.92424774169922, 99.32557678222656] single-label/f1-score_classwise: [99.6882553100586, 99.61515045166016] data_time: 0.1735 time: 0.5614 | |
| 2023/06/06 06:50:52 - mmengine - INFO - Epoch(train) [7][ 100/1969] lr: 1.4182e-04 eta: 1:09:47 time: 0.5168 data_time: 0.0017 memory: 15575 loss: 0.0114 | |
| 2023/06/06 06:51:37 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_1e-1_20230606_050018 | |
| 2023/06/06 06:51:44 - mmengine - INFO - Epoch(train) [7][ 200/1969] lr: 1.3888e-04 eta: 1:08:52 time: 0.5173 data_time: 0.0017 memory: 15575 loss: 0.0043 | |
| 2023/06/06 06:52:36 - mmengine - INFO - Epoch(train) [7][ 300/1969] lr: 1.3597e-04 eta: 1:07:57 time: 0.5162 data_time: 0.0015 memory: 15575 loss: 0.0104 | |
| 2023/06/06 06:53:28 - mmengine - INFO - Epoch(train) [7][ 400/1969] lr: 1.3307e-04 eta: 1:07:02 time: 0.5148 data_time: 0.0015 memory: 15575 loss: 0.0077 | |
| 2023/06/06 06:54:20 - mmengine - INFO - Epoch(train) [7][ 500/1969] lr: 1.3018e-04 eta: 1:06:07 time: 0.5159 data_time: 0.0014 memory: 15575 loss: 0.0058 | |
| 2023/06/06 06:55:12 - mmengine - INFO - Epoch(train) [7][ 600/1969] lr: 1.2732e-04 eta: 1:05:12 time: 0.5161 data_time: 0.0015 memory: 15575 loss: 0.0089 | |
| 2023/06/06 06:56:04 - mmengine - INFO - Epoch(train) [7][ 700/1969] lr: 1.2448e-04 eta: 1:04:17 time: 0.5153 data_time: 0.0014 memory: 15575 loss: 0.0055 | |
| 2023/06/06 06:56:55 - mmengine - INFO - Epoch(train) [7][ 800/1969] lr: 1.2165e-04 eta: 1:03:22 time: 0.5157 data_time: 0.0015 memory: 15575 loss: 0.0048 | |
| 2023/06/06 06:57:47 - mmengine - INFO - Epoch(train) [7][ 900/1969] lr: 1.1885e-04 eta: 1:02:27 time: 0.5161 data_time: 0.0015 memory: 15575 loss: 0.0044 | |
| 2023/06/06 06:58:39 - mmengine - INFO - Epoch(train) [7][1000/1969] lr: 1.1607e-04 eta: 1:01:33 time: 0.5158 data_time: 0.0016 memory: 15575 loss: 0.0044 | |
| 2023/06/06 06:59:31 - mmengine - INFO - Epoch(train) [7][1100/1969] lr: 1.1331e-04 eta: 1:00:38 time: 0.5146 data_time: 0.0015 memory: 15575 loss: 0.0060 | |
| 2023/06/06 07:00:15 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_1e-1_20230606_050018 | |
| 2023/06/06 07:00:23 - mmengine - INFO - Epoch(train) [7][1200/1969] lr: 1.1058e-04 eta: 0:59:43 time: 0.5149 data_time: 0.0016 memory: 15575 loss: 0.0036 | |
| 2023/06/06 07:01:15 - mmengine - INFO - Epoch(train) [7][1300/1969] lr: 1.0787e-04 eta: 0:58:49 time: 0.5153 data_time: 0.0016 memory: 15575 loss: 0.0099 | |
| 2023/06/06 07:02:06 - mmengine - INFO - Epoch(train) [7][1400/1969] lr: 1.0518e-04 eta: 0:57:54 time: 0.5147 data_time: 0.0016 memory: 15575 loss: 0.0070 | |
| 2023/06/06 07:02:58 - mmengine - INFO - Epoch(train) [7][1500/1969] lr: 1.0252e-04 eta: 0:57:00 time: 0.5151 data_time: 0.0017 memory: 15575 loss: 0.0126 | |
| 2023/06/06 07:03:50 - mmengine - INFO - Epoch(train) [7][1600/1969] lr: 9.9889e-05 eta: 0:56:05 time: 0.5149 data_time: 0.0016 memory: 15575 loss: 0.0054 | |
| 2023/06/06 07:04:42 - mmengine - INFO - Epoch(train) [7][1700/1969] lr: 9.7282e-05 eta: 0:55:11 time: 0.5155 data_time: 0.0015 memory: 15575 loss: 0.0079 | |
| 2023/06/06 07:05:33 - mmengine - INFO - Epoch(train) [7][1800/1969] lr: 9.4703e-05 eta: 0:54:16 time: 0.5147 data_time: 0.0015 memory: 15575 loss: 0.0058 | |
| 2023/06/06 07:06:25 - mmengine - INFO - Epoch(train) [7][1900/1969] lr: 9.2151e-05 eta: 0:53:22 time: 0.5150 data_time: 0.0015 memory: 15575 loss: 0.0061 | |
| 2023/06/06 07:07:01 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_1e-1_20230606_050018 | |
| 2023/06/06 07:07:01 - mmengine - INFO - Saving checkpoint at 7 epochs | |
| 2023/06/06 07:07:29 - mmengine - INFO - Epoch(val) [7][29/29] accuracy/top1: 99.7182 single-label/precision_classwise: [99.53482818603516, 99.9454574584961] single-label/recall_classwise: [99.955810546875, 99.42636108398438] single-label/f1-score_classwise: [99.744873046875, 99.68522644042969] data_time: 0.0519 time: 0.4389 | |
| 2023/06/06 07:08:26 - mmengine - INFO - Epoch(train) [8][ 100/1969] lr: 8.7904e-05 eta: 0:51:52 time: 0.5150 data_time: 0.0017 memory: 15575 loss: 0.0033 | |
| 2023/06/06 07:09:18 - mmengine - INFO - Epoch(train) [8][ 200/1969] lr: 8.5432e-05 eta: 0:50:58 time: 0.5222 data_time: 0.0016 memory: 15575 loss: 0.0034 | |
| 2023/06/06 07:09:27 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_1e-1_20230606_050018 | |
| 2023/06/06 07:10:10 - mmengine - INFO - Epoch(train) [8][ 300/1969] lr: 8.2989e-05 eta: 0:50:03 time: 0.5161 data_time: 0.0017 memory: 15575 loss: 0.0033 | |
| 2023/06/06 07:11:01 - mmengine - INFO - Epoch(train) [8][ 400/1969] lr: 8.0578e-05 eta: 0:49:09 time: 0.5145 data_time: 0.0016 memory: 15575 loss: 0.0035 | |
| 2023/06/06 07:11:53 - mmengine - INFO - Epoch(train) [8][ 500/1969] lr: 7.8198e-05 eta: 0:48:15 time: 0.5149 data_time: 0.0018 memory: 15575 loss: 0.0065 | |
| 2023/06/06 07:12:45 - mmengine - INFO - Epoch(train) [8][ 600/1969] lr: 7.5851e-05 eta: 0:47:21 time: 0.5302 data_time: 0.0016 memory: 15575 loss: 0.0046 | |
| 2023/06/06 07:13:37 - mmengine - INFO - Epoch(train) [8][ 700/1969] lr: 7.3536e-05 eta: 0:46:27 time: 0.5154 data_time: 0.0016 memory: 15575 loss: 0.0038 | |
| 2023/06/06 07:14:29 - mmengine - INFO - Epoch(train) [8][ 800/1969] lr: 7.1255e-05 eta: 0:45:32 time: 0.5161 data_time: 0.0015 memory: 15575 loss: 0.0036 | |
| 2023/06/06 07:15:20 - mmengine - INFO - Epoch(train) [8][ 900/1969] lr: 6.9008e-05 eta: 0:44:38 time: 0.5152 data_time: 0.0015 memory: 15575 loss: 0.0069 | |
| 2023/06/06 07:16:12 - mmengine - INFO - Epoch(train) [8][1000/1969] lr: 6.6796e-05 eta: 0:43:44 time: 0.5150 data_time: 0.0016 memory: 15575 loss: 0.0063 | |
| 2023/06/06 07:17:04 - mmengine - INFO - Epoch(train) [8][1100/1969] lr: 6.4618e-05 eta: 0:42:50 time: 0.5160 data_time: 0.0018 memory: 15575 loss: 0.0052 | |
| 2023/06/06 07:17:56 - mmengine - INFO - Epoch(train) [8][1200/1969] lr: 6.2477e-05 eta: 0:41:56 time: 0.5145 data_time: 0.0015 memory: 15575 loss: 0.0036 | |
| 2023/06/06 07:18:05 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_1e-1_20230606_050018 | |
| 2023/06/06 07:18:48 - mmengine - INFO - Epoch(train) [8][1300/1969] lr: 6.0372e-05 eta: 0:41:02 time: 0.5158 data_time: 0.0015 memory: 15575 loss: 0.0036 | |
| 2023/06/06 07:19:39 - mmengine - INFO - Epoch(train) [8][1400/1969] lr: 5.8303e-05 eta: 0:40:08 time: 0.5167 data_time: 0.0016 memory: 15575 loss: 0.0043 | |
| 2023/06/06 07:20:31 - mmengine - INFO - Epoch(train) [8][1500/1969] lr: 5.6272e-05 eta: 0:39:14 time: 0.5148 data_time: 0.0016 memory: 15575 loss: 0.0051 | |
| 2023/06/06 07:21:23 - mmengine - INFO - Epoch(train) [8][1600/1969] lr: 5.4279e-05 eta: 0:38:20 time: 0.5186 data_time: 0.0015 memory: 15575 loss: 0.0023 | |
| 2023/06/06 07:22:15 - mmengine - INFO - Epoch(train) [8][1700/1969] lr: 5.2324e-05 eta: 0:37:27 time: 0.5155 data_time: 0.0016 memory: 15575 loss: 0.0068 | |
| 2023/06/06 07:23:06 - mmengine - INFO - Epoch(train) [8][1800/1969] lr: 5.0408e-05 eta: 0:36:33 time: 0.5153 data_time: 0.0015 memory: 15575 loss: 0.0045 | |
| 2023/06/06 07:23:58 - mmengine - INFO - Epoch(train) [8][1900/1969] lr: 4.8532e-05 eta: 0:35:39 time: 0.5148 data_time: 0.0015 memory: 15575 loss: 0.0057 | |
| 2023/06/06 07:24:34 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_1e-1_20230606_050018 | |
| 2023/06/06 07:24:34 - mmengine - INFO - Saving checkpoint at 8 epochs | |
| 2023/06/06 07:25:05 - mmengine - INFO - Epoch(val) [8][29/29] accuracy/top1: 99.7634 single-label/precision_classwise: [99.62247467041016, 99.93772888183594] single-label/recall_classwise: [99.94949340820312, 99.53488159179688] single-label/f1-score_classwise: [99.78572082519531, 99.73590087890625] data_time: 0.1759 time: 0.5638 | |
| 2023/06/06 07:26:04 - mmengine - INFO - Epoch(train) [9][ 100/1969] lr: 4.5451e-05 eta: 0:34:10 time: 0.5240 data_time: 0.0015 memory: 15575 loss: 0.0062 | |
| 2023/06/06 07:26:56 - mmengine - INFO - Epoch(train) [9][ 200/1969] lr: 4.3683e-05 eta: 0:33:16 time: 0.5194 data_time: 0.0016 memory: 15575 loss: 0.0047 | |
| 2023/06/06 07:27:21 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_1e-1_20230606_050018 | |
| 2023/06/06 07:27:48 - mmengine - INFO - Epoch(train) [9][ 300/1969] lr: 4.1955e-05 eta: 0:32:22 time: 0.5179 data_time: 0.0015 memory: 15575 loss: 0.0094 | |
| 2023/06/06 07:28:40 - mmengine - INFO - Epoch(train) [9][ 400/1969] lr: 4.0269e-05 eta: 0:31:28 time: 0.5255 data_time: 0.0015 memory: 15575 loss: 0.0035 | |
| 2023/06/06 07:29:32 - mmengine - INFO - Epoch(train) [9][ 500/1969] lr: 3.8626e-05 eta: 0:30:35 time: 0.5147 data_time: 0.0015 memory: 15575 loss: 0.0026 | |
| 2023/06/06 07:30:23 - mmengine - INFO - Epoch(train) [9][ 600/1969] lr: 3.7024e-05 eta: 0:29:41 time: 0.5324 data_time: 0.0015 memory: 15575 loss: 0.0060 | |
| 2023/06/06 07:31:15 - mmengine - INFO - Epoch(train) [9][ 700/1969] lr: 3.5465e-05 eta: 0:28:47 time: 0.5146 data_time: 0.0015 memory: 15575 loss: 0.0054 | |
| 2023/06/06 07:32:07 - mmengine - INFO - Epoch(train) [9][ 800/1969] lr: 3.3950e-05 eta: 0:27:54 time: 0.5209 data_time: 0.0016 memory: 15575 loss: 0.0066 | |
| 2023/06/06 07:32:59 - mmengine - INFO - Epoch(train) [9][ 900/1969] lr: 3.2478e-05 eta: 0:27:00 time: 0.5150 data_time: 0.0017 memory: 15575 loss: 0.0030 | |
| 2023/06/06 07:33:51 - mmengine - INFO - Epoch(train) [9][1000/1969] lr: 3.1049e-05 eta: 0:26:06 time: 0.5389 data_time: 0.0015 memory: 15575 loss: 0.0032 | |
| 2023/06/06 07:34:42 - mmengine - INFO - Epoch(train) [9][1100/1969] lr: 2.9666e-05 eta: 0:25:13 time: 0.5170 data_time: 0.0017 memory: 15575 loss: 0.0047 | |
| 2023/06/06 07:35:34 - mmengine - INFO - Epoch(train) [9][1200/1969] lr: 2.8326e-05 eta: 0:24:19 time: 0.5318 data_time: 0.0017 memory: 15575 loss: 0.0032 | |
| 2023/06/06 07:35:59 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_1e-1_20230606_050018 | |
| 2023/06/06 07:36:26 - mmengine - INFO - Epoch(train) [9][1300/1969] lr: 2.7032e-05 eta: 0:23:26 time: 0.5228 data_time: 0.0016 memory: 15575 loss: 0.0058 | |
| 2023/06/06 07:37:18 - mmengine - INFO - Epoch(train) [9][1400/1969] lr: 2.5783e-05 eta: 0:22:32 time: 0.5210 data_time: 0.0017 memory: 15575 loss: 0.0050 | |
| 2023/06/06 07:38:10 - mmengine - INFO - Epoch(train) [9][1500/1969] lr: 2.4580e-05 eta: 0:21:39 time: 0.5191 data_time: 0.0015 memory: 15575 loss: 0.0072 | |
| 2023/06/06 07:39:02 - mmengine - INFO - Epoch(train) [9][1600/1969] lr: 2.3422e-05 eta: 0:20:45 time: 0.5155 data_time: 0.0015 memory: 15575 loss: 0.0028 | |
| 2023/06/06 07:39:53 - mmengine - INFO - Epoch(train) [9][1700/1969] lr: 2.2311e-05 eta: 0:19:52 time: 0.5212 data_time: 0.0016 memory: 15575 loss: 0.0031 | |
| 2023/06/06 07:40:45 - mmengine - INFO - Epoch(train) [9][1800/1969] lr: 2.1246e-05 eta: 0:18:58 time: 0.5150 data_time: 0.0016 memory: 15575 loss: 0.0047 | |
| 2023/06/06 07:41:37 - mmengine - INFO - Epoch(train) [9][1900/1969] lr: 2.0229e-05 eta: 0:18:05 time: 0.5147 data_time: 0.0015 memory: 15575 loss: 0.0027 | |
| 2023/06/06 07:42:12 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_1e-1_20230606_050018 | |
| 2023/06/06 07:42:12 - mmengine - INFO - Saving checkpoint at 9 epochs | |
| 2023/06/06 07:42:43 - mmengine - INFO - Epoch(val) [9][29/29] accuracy/top1: 99.7878 single-label/precision_classwise: [99.66012573242188, 99.94554138183594] single-label/recall_classwise: [99.955810546875, 99.5813980102539] single-label/f1-score_classwise: [99.80774688720703, 99.76313781738281] data_time: 0.1560 time: 0.5419 | |
| 2023/06/06 07:43:41 - mmengine - INFO - Epoch(train) [10][ 100/1969] lr: 1.8615e-05 eta: 0:16:35 time: 0.5160 data_time: 0.0016 memory: 15575 loss: 0.0077 | |
| 2023/06/06 07:44:33 - mmengine - INFO - Epoch(train) [10][ 200/1969] lr: 1.7725e-05 eta: 0:15:42 time: 0.5250 data_time: 0.0015 memory: 15575 loss: 0.0054 | |
| 2023/06/06 07:45:13 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_1e-1_20230606_050018 | |
| 2023/06/06 07:45:24 - mmengine - INFO - Epoch(train) [10][ 300/1969] lr: 1.6881e-05 eta: 0:14:48 time: 0.5152 data_time: 0.0015 memory: 15575 loss: 0.0073 | |
| 2023/06/06 07:46:16 - mmengine - INFO - Epoch(train) [10][ 400/1969] lr: 1.6086e-05 eta: 0:13:55 time: 0.5257 data_time: 0.0019 memory: 15575 loss: 0.0048 | |
| 2023/06/06 07:47:09 - mmengine - INFO - Epoch(train) [10][ 500/1969] lr: 1.5339e-05 eta: 0:13:02 time: 0.5185 data_time: 0.0023 memory: 15575 loss: 0.0087 | |
| 2023/06/06 07:48:00 - mmengine - INFO - Epoch(train) [10][ 600/1969] lr: 1.4640e-05 eta: 0:12:08 time: 0.5172 data_time: 0.0016 memory: 15575 loss: 0.0069 | |
| 2023/06/06 07:48:52 - mmengine - INFO - Epoch(train) [10][ 700/1969] lr: 1.3990e-05 eta: 0:11:15 time: 0.5169 data_time: 0.0017 memory: 15575 loss: 0.0027 | |
| 2023/06/06 07:49:44 - mmengine - INFO - Epoch(train) [10][ 800/1969] lr: 1.3388e-05 eta: 0:10:22 time: 0.5187 data_time: 0.0015 memory: 15575 loss: 0.0065 | |
| 2023/06/06 07:50:36 - mmengine - INFO - Epoch(train) [10][ 900/1969] lr: 1.2835e-05 eta: 0:09:28 time: 0.5152 data_time: 0.0015 memory: 15575 loss: 0.0061 | |
| 2023/06/06 07:51:28 - mmengine - INFO - Epoch(train) [10][1000/1969] lr: 1.2331e-05 eta: 0:08:35 time: 0.5146 data_time: 0.0015 memory: 15575 loss: 0.0015 | |
| 2023/06/06 07:52:20 - mmengine - INFO - Epoch(train) [10][1100/1969] lr: 1.1876e-05 eta: 0:07:42 time: 0.5165 data_time: 0.0016 memory: 15575 loss: 0.0043 | |
| 2023/06/06 07:53:12 - mmengine - INFO - Epoch(train) [10][1200/1969] lr: 1.1470e-05 eta: 0:06:49 time: 0.5141 data_time: 0.0015 memory: 15575 loss: 0.0031 | |
| 2023/06/06 07:53:53 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_1e-1_20230606_050018 | |
| 2023/06/06 07:54:03 - mmengine - INFO - Epoch(train) [10][1300/1969] lr: 1.1113e-05 eta: 0:05:55 time: 0.5144 data_time: 0.0015 memory: 15575 loss: 0.0063 | |
| 2023/06/06 07:54:55 - mmengine - INFO - Epoch(train) [10][1400/1969] lr: 1.0806e-05 eta: 0:05:02 time: 0.5168 data_time: 0.0015 memory: 15575 loss: 0.0017 | |
| 2023/06/06 07:55:47 - mmengine - INFO - Epoch(train) [10][1500/1969] lr: 1.0548e-05 eta: 0:04:09 time: 0.5162 data_time: 0.0018 memory: 15575 loss: 0.0056 | |
| 2023/06/06 07:56:39 - mmengine - INFO - Epoch(train) [10][1600/1969] lr: 1.0340e-05 eta: 0:03:16 time: 0.5177 data_time: 0.0021 memory: 15575 loss: 0.0032 | |
| 2023/06/06 07:57:31 - mmengine - INFO - Epoch(train) [10][1700/1969] lr: 1.0181e-05 eta: 0:02:22 time: 0.5150 data_time: 0.0018 memory: 15575 loss: 0.0030 | |
| 2023/06/06 07:58:23 - mmengine - INFO - Epoch(train) [10][1800/1969] lr: 1.0072e-05 eta: 0:01:29 time: 0.5157 data_time: 0.0016 memory: 15575 loss: 0.0030 | |
| 2023/06/06 07:59:14 - mmengine - INFO - Epoch(train) [10][1900/1969] lr: 1.0012e-05 eta: 0:00:36 time: 0.5153 data_time: 0.0016 memory: 15575 loss: 0.0025 | |
| 2023/06/06 07:59:50 - mmengine - INFO - Exp name: convnext_small_4xb256_IF_1m_lr4e-4_aug_1e-1_20230606_050018 | |
| 2023/06/06 07:59:50 - mmengine - INFO - Saving checkpoint at 10 epochs | |
| 2023/06/06 08:00:22 - mmengine - INFO - Epoch(val) [10][29/29] accuracy/top1: 99.8330 single-label/precision_classwise: [99.76053619384766, 99.92230987548828] single-label/recall_classwise: [99.93687438964844, 99.70542907714844] single-label/f1-score_classwise: [99.84861755371094, 99.81375122070312] data_time: 0.1844 time: 0.5707 | |