Sentry_image_models
/
convnext_small_4xb256_sdv1_1m_lr4e-4_aug_1e-1
/20230604_170206
/20230604_170206.log
| 2023/06/04 17:02:10 - 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: 70114618 | |
| 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 | |
| ------------------------------------------------------------ | |
| 2023/06/04 17:02:15 - 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='', | |
| ann_file= | |
| '/mnt/petrelfs/luzeyu/workspace/fakebench/dataset/meta/train/stablediffusionV1-5R2-dpmsolver-25-1m.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='', | |
| 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/stablediffusionV1-5R2-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/stablediffusionV1-5R2-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_sdv1_1m_lr4e-4_aug_1e-1' | |
| 2023/06/04 17:02:27 - 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 | |
| -------------------- | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.downsample_layers.2.0.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.downsample_layers.2.0.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.downsample_layers.2.1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.downsample_layers.3.0.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.downsample_layers.3.0.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.downsample_layers.3.1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.0.gamma:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.0.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.0.norm.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.0.norm.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.0.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.0.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.1.gamma:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.1.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.1.norm.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.1.norm.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.1.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.1.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.2.gamma:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.2.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.2.norm.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.2.norm.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.2.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.2.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.3.gamma:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.3.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.3.norm.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.3.norm.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.3.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.3.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.4.gamma:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.4.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.4.norm.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.4.norm.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.4.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.4.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.5.gamma:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.5.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.5.norm.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.5.norm.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.5.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.5.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.6.gamma:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.6.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.6.norm.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.6.norm.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.6.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.6.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.7.gamma:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.7.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.7.norm.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.7.norm.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.7.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.7.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.8.gamma:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.8.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.8.norm.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.8.norm.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.8.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.8.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.9.gamma:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.9.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.9.norm.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.9.norm.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.9.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.9.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.10.gamma:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.10.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.10.norm.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.10.norm.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.10.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.10.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.11.gamma:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.11.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.11.norm.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.11.norm.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.11.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.11.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.12.gamma:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.12.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.12.norm.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.12.norm.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.12.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.12.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.13.gamma:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.13.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.13.norm.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.13.norm.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.13.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.13.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.14.gamma:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.14.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.14.norm.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.14.norm.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.14.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.14.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.15.gamma:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.15.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.15.norm.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.15.norm.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.15.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.15.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.16.gamma:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.16.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.16.norm.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.16.norm.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.16.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.16.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.17.gamma:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.17.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.17.norm.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.17.norm.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.17.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.17.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.18.gamma:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.18.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.18.norm.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.18.norm.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.18.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.18.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.19.gamma:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.19.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.19.norm.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.19.norm.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.19.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.19.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.20.gamma:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.20.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.20.norm.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.20.norm.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.20.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.20.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.21.gamma:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.21.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.21.norm.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.21.norm.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.21.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.21.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.22.gamma:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.22.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.22.norm.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.22.norm.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.22.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.22.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.23.gamma:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.23.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.23.norm.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.23.norm.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.23.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.23.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.24.gamma:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.24.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.24.norm.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.24.norm.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.24.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.24.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.25.gamma:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.25.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.25.norm.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.25.norm.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.25.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.25.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.26.gamma:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.26.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.26.norm.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.26.norm.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.26.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.2.26.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.3.0.gamma:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.3.0.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.3.0.norm.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.3.0.norm.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.3.0.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.3.0.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.3.1.gamma:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.3.1.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.3.1.norm.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.3.1.norm.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.3.1.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.3.1.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.3.2.gamma:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.3.2.depthwise_conv.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.3.2.norm.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.3.2.norm.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.3.2.pointwise_conv1.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.stages.3.2.pointwise_conv2.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.norm3.weight:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- backbone.norm3.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:41 - mmengine - INFO - paramwise_options -- head.fc.bias:weight_decay=0.0 | |
| 2023/06/04 17:02:47 - 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 | |
| 2023/06/04 17:02:47 - mmengine - WARNING - "FileClient" will be deprecated in future. Please use io functions in https://mmengine.readthedocs.io/en/latest/api/fileio.html#file-io | |
| 2023/06/04 17:02:47 - mmengine - WARNING - "HardDiskBackend" is the alias of "LocalBackend" and the former will be deprecated in future. | |
| 2023/06/04 17:02:47 - mmengine - INFO - Checkpoints will be saved to /mnt/petrelfs/luzeyu/workspace/fakebench/mmpretrain/workdir/convnext_small_4xb256_sdv1_1m_lr4e-4_aug_1e-1. | |
| 2023/06/04 17:04:45 - mmengine - INFO - Epoch(train) [1][ 100/1954] lr: 3.9998e-04 eta: 6:23:00 time: 1.0514 data_time: 0.4075 memory: 15587 loss: 0.0172 | |
| 2023/06/04 17:06:31 - mmengine - INFO - Epoch(train) [1][ 200/1954] lr: 3.9990e-04 eta: 6:01:41 time: 1.0496 data_time: 0.3037 memory: 15587 loss: 0.0104 | |
| 2023/06/04 17:08:15 - mmengine - INFO - Epoch(train) [1][ 300/1954] lr: 3.9977e-04 eta: 5:50:13 time: 1.0234 data_time: 0.4091 memory: 15587 loss: 0.0237 | |
| 2023/06/04 17:09:57 - mmengine - INFO - Epoch(train) [1][ 400/1954] lr: 3.9960e-04 eta: 5:42:44 time: 1.0230 data_time: 0.1444 memory: 15587 loss: 0.0210 | |
| 2023/06/04 17:11:39 - mmengine - INFO - Epoch(train) [1][ 500/1954] lr: 3.9937e-04 eta: 5:37:35 time: 0.9647 data_time: 0.0018 memory: 15587 loss: 0.0105 | |
| 2023/06/04 17:13:17 - mmengine - INFO - Epoch(train) [1][ 600/1954] lr: 3.9910e-04 eta: 5:31:29 time: 0.9304 data_time: 0.0013 memory: 15587 loss: 0.0091 | |
| 2023/06/04 17:14:54 - mmengine - INFO - Epoch(train) [1][ 700/1954] lr: 3.9877e-04 eta: 5:26:10 time: 0.9239 data_time: 0.0015 memory: 15587 loss: 0.0079 | |
| 2023/06/04 17:16:28 - mmengine - INFO - Epoch(train) [1][ 800/1954] lr: 3.9839e-04 eta: 5:20:23 time: 0.9333 data_time: 0.0014 memory: 15587 loss: 0.0130 | |
| 2023/06/04 17:18:01 - mmengine - INFO - Epoch(train) [1][ 900/1954] lr: 3.9797e-04 eta: 5:15:40 time: 0.9555 data_time: 0.0015 memory: 15587 loss: 0.0046 | |
| 2023/06/04 17:19:32 - mmengine - INFO - Exp name: convnext_small_4xb256_sdv1_1m_lr4e-4_aug_1e-1_20230604_170206 | |
| 2023/06/04 17:19:32 - mmengine - INFO - Epoch(train) [1][1000/1954] lr: 3.9749e-04 eta: 5:10:34 time: 0.8725 data_time: 0.0016 memory: 15587 loss: 0.0147 | |
| 2023/06/04 17:21:00 - mmengine - INFO - Epoch(train) [1][1100/1954] lr: 3.9696e-04 eta: 5:05:27 time: 0.8296 data_time: 0.0015 memory: 15587 loss: 0.0109 | |
| 2023/06/04 17:22:27 - mmengine - INFO - Epoch(train) [1][1200/1954] lr: 3.9639e-04 eta: 5:00:38 time: 0.8381 data_time: 0.0016 memory: 15587 loss: 0.0034 | |
| 2023/06/04 17:23:54 - mmengine - INFO - Epoch(train) [1][1300/1954] lr: 3.9576e-04 eta: 4:56:14 time: 0.8229 data_time: 0.0016 memory: 15587 loss: 0.0065 | |
| 2023/06/04 17:25:18 - mmengine - INFO - Epoch(train) [1][1400/1954] lr: 3.9509e-04 eta: 4:51:51 time: 0.8561 data_time: 0.0015 memory: 15587 loss: 0.0117 | |
| 2023/06/04 17:26:43 - mmengine - INFO - Epoch(train) [1][1500/1954] lr: 3.9436e-04 eta: 4:47:52 time: 0.8288 data_time: 0.0017 memory: 15587 loss: 0.0098 | |
| 2023/06/04 17:28:09 - mmengine - INFO - Epoch(train) [1][1600/1954] lr: 3.9359e-04 eta: 4:44:31 time: 0.8656 data_time: 0.0016 memory: 15587 loss: 0.0156 | |
| 2023/06/04 17:29:33 - mmengine - INFO - Epoch(train) [1][1700/1954] lr: 3.9277e-04 eta: 4:40:52 time: 0.7898 data_time: 0.0015 memory: 15587 loss: 0.0042 | |
| 2023/06/04 17:30:56 - mmengine - INFO - Epoch(train) [1][1800/1954] lr: 3.9190e-04 eta: 4:37:24 time: 0.8096 data_time: 0.0016 memory: 15587 loss: 0.0065 | |
| 2023/06/04 17:32:18 - mmengine - INFO - Epoch(train) [1][1900/1954] lr: 3.9098e-04 eta: 4:34:03 time: 0.9014 data_time: 0.0019 memory: 15587 loss: 0.0062 | |
| 2023/06/04 17:33:03 - mmengine - INFO - Exp name: convnext_small_4xb256_sdv1_1m_lr4e-4_aug_1e-1_20230604_170206 | |
| 2023/06/04 17:33:03 - mmengine - INFO - Saving checkpoint at 1 epochs | |
| 2023/06/04 17:33:40 - mmengine - INFO - Epoch(val) [1][29/29] accuracy/top1: 90.4666 single-label/precision_classwise: [95.42333984375, 85.47486114501953] single-label/recall_classwise: [86.86951446533203, 94.88372039794922] single-label/f1-score_classwise: [90.94573974609375, 89.93387603759766] data_time: 0.2133 time: 0.6839 | |
| 2023/06/04 17:34:27 - mmengine - INFO - Exp name: convnext_small_4xb256_sdv1_1m_lr4e-4_aug_1e-1_20230604_170206 | |
| 2023/06/04 17:35:11 - mmengine - INFO - Epoch(train) [2][ 100/1954] lr: 3.8947e-04 eta: 4:30:28 time: 0.8505 data_time: 0.1753 memory: 15587 loss: 0.0030 | |
| 2023/06/04 17:36:39 - mmengine - INFO - Epoch(train) [2][ 200/1954] lr: 3.8843e-04 eta: 4:28:20 time: 0.8441 data_time: 0.0022 memory: 15585 loss: 0.0063 | |
| 2023/06/04 17:38:05 - mmengine - INFO - Epoch(train) [2][ 300/1954] lr: 3.8735e-04 eta: 4:25:54 time: 0.8124 data_time: 0.0022 memory: 15585 loss: 0.0033 | |
| 2023/06/04 17:39:29 - mmengine - INFO - Epoch(train) [2][ 400/1954] lr: 3.8621e-04 eta: 4:23:19 time: 0.8673 data_time: 0.0025 memory: 15585 loss: 0.0095 | |
| 2023/06/04 17:40:51 - mmengine - INFO - Epoch(train) [2][ 500/1954] lr: 3.8503e-04 eta: 4:20:43 time: 0.7940 data_time: 0.0016 memory: 15585 loss: 0.0057 | |
| 2023/06/04 17:42:18 - mmengine - INFO - Epoch(train) [2][ 600/1954] lr: 3.8380e-04 eta: 4:18:35 time: 0.8247 data_time: 0.0017 memory: 15585 loss: 0.0085 | |
| 2023/06/04 17:43:43 - mmengine - INFO - Epoch(train) [2][ 700/1954] lr: 3.8253e-04 eta: 4:16:29 time: 0.8231 data_time: 0.0015 memory: 15585 loss: 0.0046 | |
| 2023/06/04 17:45:08 - mmengine - INFO - Epoch(train) [2][ 800/1954] lr: 3.8121e-04 eta: 4:14:18 time: 0.8181 data_time: 0.0016 memory: 15585 loss: 0.0082 | |
| 2023/06/04 17:46:34 - mmengine - INFO - Epoch(train) [2][ 900/1954] lr: 3.7984e-04 eta: 4:12:16 time: 0.8724 data_time: 0.0017 memory: 15585 loss: 0.0080 | |
| 2023/06/04 17:48:00 - mmengine - INFO - Epoch(train) [2][1000/1954] lr: 3.7843e-04 eta: 4:10:21 time: 0.8331 data_time: 0.0020 memory: 15585 loss: 0.0071 | |
| 2023/06/04 17:48:39 - mmengine - INFO - Exp name: convnext_small_4xb256_sdv1_1m_lr4e-4_aug_1e-1_20230604_170206 | |
| 2023/06/04 17:49:25 - mmengine - INFO - Epoch(train) [2][1100/1954] lr: 3.7698e-04 eta: 4:08:23 time: 0.8688 data_time: 0.0025 memory: 15585 loss: 0.0100 | |
| 2023/06/04 17:50:50 - mmengine - INFO - Epoch(train) [2][1200/1954] lr: 3.7548e-04 eta: 4:06:22 time: 0.8495 data_time: 0.0023 memory: 15585 loss: 0.0043 | |
| 2023/06/04 17:52:17 - mmengine - INFO - Epoch(train) [2][1300/1954] lr: 3.7393e-04 eta: 4:04:34 time: 0.9242 data_time: 0.0023 memory: 15585 loss: 0.0035 | |
| 2023/06/04 17:53:42 - mmengine - INFO - Epoch(train) [2][1400/1954] lr: 3.7234e-04 eta: 4:02:41 time: 0.8863 data_time: 0.0025 memory: 15585 loss: 0.0034 | |
| 2023/06/04 17:55:06 - mmengine - INFO - Epoch(train) [2][1500/1954] lr: 3.7071e-04 eta: 4:00:44 time: 0.8628 data_time: 0.0022 memory: 15585 loss: 0.0102 | |
| 2023/06/04 17:56:29 - mmengine - INFO - Epoch(train) [2][1600/1954] lr: 3.6904e-04 eta: 3:58:43 time: 0.8236 data_time: 0.1245 memory: 15585 loss: 0.0058 | |
| 2023/06/04 17:57:53 - mmengine - INFO - Epoch(train) [2][1700/1954] lr: 3.6732e-04 eta: 3:56:49 time: 0.8245 data_time: 0.0766 memory: 15585 loss: 0.0099 | |
| 2023/06/04 17:59:20 - mmengine - INFO - Epoch(train) [2][1800/1954] lr: 3.6557e-04 eta: 3:55:07 time: 0.8435 data_time: 0.0017 memory: 15585 loss: 0.0092 | |
| 2023/06/04 18:00:44 - mmengine - INFO - Epoch(train) [2][1900/1954] lr: 3.6377e-04 eta: 3:53:20 time: 0.8315 data_time: 0.0016 memory: 15585 loss: 0.0033 | |
| 2023/06/04 18:01:28 - mmengine - INFO - Exp name: convnext_small_4xb256_sdv1_1m_lr4e-4_aug_1e-1_20230604_170206 | |
| 2023/06/04 18:01:28 - mmengine - INFO - Saving checkpoint at 2 epochs | |
| 2023/06/04 18:02:04 - mmengine - INFO - Epoch(val) [2][29/29] accuracy/top1: 98.3717 single-label/precision_classwise: [98.14594268798828, 98.65372467041016] single-label/recall_classwise: [98.91421508789062, 97.7054214477539] single-label/f1-score_classwise: [98.5285873413086, 98.17728424072266] data_time: 0.2504 time: 0.6426 | |
| 2023/06/04 18:03:29 - mmengine - INFO - Exp name: convnext_small_4xb256_sdv1_1m_lr4e-4_aug_1e-1_20230604_170206 | |
| 2023/06/04 18:03:34 - mmengine - INFO - Epoch(train) [3][ 100/1954] lr: 3.6091e-04 eta: 3:50:46 time: 0.8195 data_time: 0.1533 memory: 15585 loss: 0.0037 | |
| 2023/06/04 18:05:00 - mmengine - INFO - Epoch(train) [3][ 200/1954] lr: 3.5901e-04 eta: 3:49:08 time: 0.9181 data_time: 0.0023 memory: 15585 loss: 0.0056 | |
| 2023/06/04 18:06:26 - mmengine - INFO - Epoch(train) [3][ 300/1954] lr: 3.5707e-04 eta: 3:47:24 time: 0.8385 data_time: 0.0023 memory: 15585 loss: 0.0063 | |
| 2023/06/04 18:07:54 - mmengine - INFO - Epoch(train) [3][ 400/1954] lr: 3.5509e-04 eta: 3:45:52 time: 0.8655 data_time: 0.0273 memory: 15585 loss: 0.0042 | |
| 2023/06/04 18:09:19 - mmengine - INFO - Epoch(train) [3][ 500/1954] lr: 3.5307e-04 eta: 3:44:10 time: 0.8887 data_time: 0.1688 memory: 15585 loss: 0.0037 | |
| 2023/06/04 18:10:46 - mmengine - INFO - Epoch(train) [3][ 600/1954] lr: 3.5101e-04 eta: 3:42:37 time: 0.8659 data_time: 0.3456 memory: 15585 loss: 0.0037 | |
| 2023/06/04 18:12:10 - mmengine - INFO - Epoch(train) [3][ 700/1954] lr: 3.4891e-04 eta: 3:40:50 time: 0.8163 data_time: 0.2988 memory: 15585 loss: 0.0057 | |
| 2023/06/04 18:13:35 - mmengine - INFO - Epoch(train) [3][ 800/1954] lr: 3.4677e-04 eta: 3:39:11 time: 0.8540 data_time: 0.0027 memory: 15585 loss: 0.0068 | |
| 2023/06/04 18:15:02 - mmengine - INFO - Epoch(train) [3][ 900/1954] lr: 3.4460e-04 eta: 3:37:36 time: 0.8360 data_time: 0.0024 memory: 15585 loss: 0.0072 | |
| 2023/06/04 18:16:28 - mmengine - INFO - Epoch(train) [3][1000/1954] lr: 3.4240e-04 eta: 3:36:01 time: 0.7947 data_time: 0.0023 memory: 15585 loss: 0.0106 | |
| 2023/06/04 18:17:47 - mmengine - INFO - Exp name: convnext_small_4xb256_sdv1_1m_lr4e-4_aug_1e-1_20230604_170206 | |
| 2023/06/04 18:17:51 - mmengine - INFO - Epoch(train) [3][1100/1954] lr: 3.4015e-04 eta: 3:34:15 time: 0.8103 data_time: 0.0020 memory: 15585 loss: 0.0050 | |
| 2023/06/04 18:19:16 - mmengine - INFO - Epoch(train) [3][1200/1954] lr: 3.3788e-04 eta: 3:32:37 time: 0.8360 data_time: 0.0016 memory: 15585 loss: 0.0077 | |
| 2023/06/04 18:20:42 - mmengine - INFO - Epoch(train) [3][1300/1954] lr: 3.3557e-04 eta: 3:31:01 time: 0.8929 data_time: 0.0016 memory: 15585 loss: 0.0054 | |
| 2023/06/04 18:22:07 - mmengine - INFO - Epoch(train) [3][1400/1954] lr: 3.3322e-04 eta: 3:29:25 time: 0.8350 data_time: 0.0024 memory: 15585 loss: 0.0067 | |
| 2023/06/04 18:23:32 - mmengine - INFO - Epoch(train) [3][1500/1954] lr: 3.3084e-04 eta: 3:27:49 time: 0.8931 data_time: 0.0019 memory: 15585 loss: 0.0037 | |
| 2023/06/04 18:24:57 - mmengine - INFO - Epoch(train) [3][1600/1954] lr: 3.2843e-04 eta: 3:26:12 time: 0.8709 data_time: 0.0020 memory: 15585 loss: 0.0053 | |
| 2023/06/04 18:26:22 - mmengine - INFO - Epoch(train) [3][1700/1954] lr: 3.2599e-04 eta: 3:24:35 time: 0.8444 data_time: 0.0017 memory: 15585 loss: 0.0032 | |
| 2023/06/04 18:27:48 - mmengine - INFO - Epoch(train) [3][1800/1954] lr: 3.2351e-04 eta: 3:23:02 time: 0.8666 data_time: 0.0018 memory: 15585 loss: 0.0033 | |
| 2023/06/04 18:29:13 - mmengine - INFO - Epoch(train) [3][1900/1954] lr: 3.2101e-04 eta: 3:21:27 time: 0.8863 data_time: 0.0023 memory: 15585 loss: 0.0049 | |
| 2023/06/04 18:30:00 - mmengine - INFO - Exp name: convnext_small_4xb256_sdv1_1m_lr4e-4_aug_1e-1_20230604_170206 | |
| 2023/06/04 18:30:00 - mmengine - INFO - Saving checkpoint at 3 epochs | |
| 2023/06/04 18:30:36 - mmengine - INFO - Epoch(val) [3][29/29] accuracy/top1: 99.4572 single-label/precision_classwise: [99.23410034179688, 99.734619140625] single-label/recall_classwise: [99.78536987304688, 99.05426788330078] single-label/f1-score_classwise: [99.50897216796875, 99.39328002929688] data_time: 0.2422 time: 0.6293 | |
| 2023/06/04 18:32:06 - mmengine - INFO - Epoch(train) [4][ 100/1954] lr: 3.1709e-04 eta: 3:19:15 time: 0.8580 data_time: 0.3000 memory: 15585 loss: 0.0048 | |
| 2023/06/04 18:32:40 - mmengine - INFO - Exp name: convnext_small_4xb256_sdv1_1m_lr4e-4_aug_1e-1_20230604_170206 | |
| 2023/06/04 18:33:31 - mmengine - INFO - Epoch(train) [4][ 200/1954] lr: 3.1451e-04 eta: 3:17:39 time: 0.7942 data_time: 0.0438 memory: 15585 loss: 0.0059 | |
| 2023/06/04 18:34:54 - mmengine - INFO - Epoch(train) [4][ 300/1954] lr: 3.1190e-04 eta: 3:16:01 time: 0.8303 data_time: 0.1321 memory: 15585 loss: 0.0015 | |
| 2023/06/04 18:36:19 - mmengine - INFO - Epoch(train) [4][ 400/1954] lr: 3.0927e-04 eta: 3:14:28 time: 0.8560 data_time: 0.0363 memory: 15585 loss: 0.0050 | |
| 2023/06/04 18:37:43 - mmengine - INFO - Epoch(train) [4][ 500/1954] lr: 3.0661e-04 eta: 3:12:51 time: 0.8093 data_time: 0.0677 memory: 15585 loss: 0.0058 | |
| 2023/06/04 18:39:09 - mmengine - INFO - Epoch(train) [4][ 600/1954] lr: 3.0392e-04 eta: 3:11:20 time: 0.8326 data_time: 0.0015 memory: 15585 loss: 0.0060 | |
| 2023/06/04 18:40:33 - mmengine - INFO - Epoch(train) [4][ 700/1954] lr: 3.0120e-04 eta: 3:09:45 time: 0.7895 data_time: 0.0016 memory: 15585 loss: 0.0097 | |
| 2023/06/04 18:41:57 - mmengine - INFO - Epoch(train) [4][ 800/1954] lr: 2.9846e-04 eta: 3:08:09 time: 0.8677 data_time: 0.2796 memory: 15585 loss: 0.0061 | |
| 2023/06/04 18:43:21 - mmengine - INFO - Epoch(train) [4][ 900/1954] lr: 2.9570e-04 eta: 3:06:35 time: 0.8668 data_time: 0.3513 memory: 15585 loss: 0.0040 | |
| 2023/06/04 18:44:46 - mmengine - INFO - Epoch(train) [4][1000/1954] lr: 2.9291e-04 eta: 3:05:03 time: 0.8544 data_time: 0.3394 memory: 15585 loss: 0.0084 | |
| 2023/06/04 18:46:12 - mmengine - INFO - Epoch(train) [4][1100/1954] lr: 2.9010e-04 eta: 3:03:31 time: 0.8620 data_time: 0.1649 memory: 15585 loss: 0.0063 | |
| 2023/06/04 18:46:47 - mmengine - INFO - Exp name: convnext_small_4xb256_sdv1_1m_lr4e-4_aug_1e-1_20230604_170206 | |
| 2023/06/04 18:47:40 - mmengine - INFO - Epoch(train) [4][1200/1954] lr: 2.8727e-04 eta: 3:02:06 time: 0.8409 data_time: 0.0015 memory: 15585 loss: 0.0066 | |
| 2023/06/04 18:49:07 - mmengine - INFO - Epoch(train) [4][1300/1954] lr: 2.8442e-04 eta: 3:00:36 time: 0.7618 data_time: 0.0016 memory: 15585 loss: 0.0050 | |
| 2023/06/04 18:50:30 - mmengine - INFO - Epoch(train) [4][1400/1954] lr: 2.8155e-04 eta: 2:59:01 time: 0.7866 data_time: 0.0015 memory: 15585 loss: 0.0054 | |
| 2023/06/04 18:51:53 - mmengine - INFO - Epoch(train) [4][1500/1954] lr: 2.7865e-04 eta: 2:57:26 time: 0.8116 data_time: 0.0018 memory: 15585 loss: 0.0049 | |
| 2023/06/04 18:53:18 - mmengine - INFO - Epoch(train) [4][1600/1954] lr: 2.7574e-04 eta: 2:55:55 time: 0.7899 data_time: 0.0016 memory: 15585 loss: 0.0044 | |
| 2023/06/04 18:54:44 - mmengine - INFO - Epoch(train) [4][1700/1954] lr: 2.7281e-04 eta: 2:54:25 time: 0.8063 data_time: 0.1027 memory: 15585 loss: 0.0094 | |
| 2023/06/04 18:56:12 - mmengine - INFO - Epoch(train) [4][1800/1954] lr: 2.6986e-04 eta: 2:52:58 time: 0.9091 data_time: 0.2126 memory: 15585 loss: 0.0053 | |
| 2023/06/04 18:57:40 - mmengine - INFO - Epoch(train) [4][1900/1954] lr: 2.6690e-04 eta: 2:51:32 time: 0.7987 data_time: 0.2828 memory: 15585 loss: 0.0040 | |
| 2023/06/04 18:58:23 - mmengine - INFO - Exp name: convnext_small_4xb256_sdv1_1m_lr4e-4_aug_1e-1_20230604_170206 | |
| 2023/06/04 18:58:23 - mmengine - INFO - Saving checkpoint at 4 epochs | |
| 2023/06/04 18:59:00 - mmengine - INFO - Epoch(val) [4][29/29] accuracy/top1: 99.7773 single-label/precision_classwise: [99.66630554199219, 99.9144515991211] single-label/recall_classwise: [99.93055725097656, 99.58914184570312] single-label/f1-score_classwise: [99.79824829101562, 99.75152587890625] data_time: 0.2668 time: 0.6511 | |
| 2023/06/04 19:00:29 - mmengine - INFO - Epoch(train) [5][ 100/1954] lr: 2.6230e-04 eta: 2:49:15 time: 0.8457 data_time: 0.2097 memory: 15585 loss: 0.0012 | |
| 2023/06/04 19:01:44 - mmengine - INFO - Exp name: convnext_small_4xb256_sdv1_1m_lr4e-4_aug_1e-1_20230604_170206 | |
| 2023/06/04 19:01:56 - mmengine - INFO - Epoch(train) [5][ 200/1954] lr: 2.5929e-04 eta: 2:47:47 time: 0.8890 data_time: 0.0246 memory: 15585 loss: 0.0033 | |
| 2023/06/04 19:03:22 - mmengine - INFO - Epoch(train) [5][ 300/1954] lr: 2.5628e-04 eta: 2:46:17 time: 0.8516 data_time: 0.0018 memory: 15585 loss: 0.0019 | |
| 2023/06/04 19:04:50 - mmengine - INFO - Epoch(train) [5][ 400/1954] lr: 2.5325e-04 eta: 2:44:50 time: 0.8578 data_time: 0.0020 memory: 15585 loss: 0.0064 | |
| 2023/06/04 19:06:17 - mmengine - INFO - Epoch(train) [5][ 500/1954] lr: 2.5020e-04 eta: 2:43:23 time: 0.9104 data_time: 0.0015 memory: 15585 loss: 0.0039 | |
| 2023/06/04 19:07:44 - mmengine - INFO - Epoch(train) [5][ 600/1954] lr: 2.4715e-04 eta: 2:41:56 time: 0.8483 data_time: 0.0015 memory: 15585 loss: 0.0016 | |
| 2023/06/04 19:09:12 - mmengine - INFO - Epoch(train) [5][ 700/1954] lr: 2.4408e-04 eta: 2:40:28 time: 0.8450 data_time: 0.0018 memory: 15585 loss: 0.0040 | |
| 2023/06/04 19:10:39 - mmengine - INFO - Epoch(train) [5][ 800/1954] lr: 2.4100e-04 eta: 2:39:01 time: 0.8575 data_time: 0.0016 memory: 15585 loss: 0.0020 | |
| 2023/06/04 19:12:06 - mmengine - INFO - Epoch(train) [5][ 900/1954] lr: 2.3792e-04 eta: 2:37:33 time: 0.9226 data_time: 0.0016 memory: 15585 loss: 0.0085 | |
| 2023/06/04 19:13:32 - mmengine - INFO - Epoch(train) [5][1000/1954] lr: 2.3482e-04 eta: 2:36:04 time: 0.8550 data_time: 0.0017 memory: 15585 loss: 0.0074 | |
| 2023/06/04 19:14:59 - mmengine - INFO - Epoch(train) [5][1100/1954] lr: 2.3172e-04 eta: 2:34:36 time: 0.8735 data_time: 0.0016 memory: 15585 loss: 0.0028 | |
| 2023/06/04 19:16:10 - mmengine - INFO - Exp name: convnext_small_4xb256_sdv1_1m_lr4e-4_aug_1e-1_20230604_170206 | |
| 2023/06/04 19:16:26 - mmengine - INFO - Epoch(train) [5][1200/1954] lr: 2.2861e-04 eta: 2:33:08 time: 0.8721 data_time: 0.0017 memory: 15585 loss: 0.0055 | |
| 2023/06/04 19:17:51 - mmengine - INFO - Epoch(train) [5][1300/1954] lr: 2.2550e-04 eta: 2:31:39 time: 0.9107 data_time: 0.0019 memory: 15585 loss: 0.0029 | |
| 2023/06/04 19:19:20 - mmengine - INFO - Epoch(train) [5][1400/1954] lr: 2.2238e-04 eta: 2:30:13 time: 0.8399 data_time: 0.0016 memory: 15585 loss: 0.0038 | |
| 2023/06/04 19:20:45 - mmengine - INFO - Epoch(train) [5][1500/1954] lr: 2.1925e-04 eta: 2:28:44 time: 0.9287 data_time: 0.0016 memory: 15585 loss: 0.0014 | |
| 2023/06/04 19:22:12 - mmengine - INFO - Epoch(train) [5][1600/1954] lr: 2.1612e-04 eta: 2:27:16 time: 0.8815 data_time: 0.0016 memory: 15585 loss: 0.0025 | |
| 2023/06/04 19:23:37 - mmengine - INFO - Epoch(train) [5][1700/1954] lr: 2.1299e-04 eta: 2:25:46 time: 0.8672 data_time: 0.0018 memory: 15585 loss: 0.0035 | |
| 2023/06/04 19:25:06 - mmengine - INFO - Epoch(train) [5][1800/1954] lr: 2.0986e-04 eta: 2:24:21 time: 0.8194 data_time: 0.0018 memory: 15585 loss: 0.0036 | |
| 2023/06/04 19:26:34 - mmengine - INFO - Epoch(train) [5][1900/1954] lr: 2.0672e-04 eta: 2:22:54 time: 0.8633 data_time: 0.0017 memory: 15585 loss: 0.0037 | |
| 2023/06/04 19:27:17 - mmengine - INFO - Exp name: convnext_small_4xb256_sdv1_1m_lr4e-4_aug_1e-1_20230604_170206 | |
| 2023/06/04 19:27:17 - mmengine - INFO - Saving checkpoint at 5 epochs | |
| 2023/06/04 19:27:54 - mmengine - INFO - Epoch(val) [5][29/29] accuracy/top1: 99.8434 single-label/precision_classwise: [99.75431823730469, 99.953369140625] single-label/recall_classwise: [99.96212005615234, 99.69766998291016] single-label/f1-score_classwise: [99.85811614990234, 99.82536315917969] data_time: 0.2372 time: 0.6240 | |
| 2023/06/04 19:29:25 - mmengine - INFO - Epoch(train) [6][ 100/1954] lr: 2.0190e-04 eta: 2:20:40 time: 0.8291 data_time: 0.3125 memory: 15585 loss: 0.0024 | |
| 2023/06/04 19:30:50 - mmengine - INFO - Epoch(train) [6][ 200/1954] lr: 1.9876e-04 eta: 2:19:10 time: 0.8245 data_time: 0.3061 memory: 15585 loss: 0.0024 | |
| 2023/06/04 19:31:15 - mmengine - INFO - Exp name: convnext_small_4xb256_sdv1_1m_lr4e-4_aug_1e-1_20230604_170206 | |
| 2023/06/04 19:32:13 - mmengine - INFO - Epoch(train) [6][ 300/1954] lr: 1.9563e-04 eta: 2:17:39 time: 0.8461 data_time: 0.2992 memory: 15585 loss: 0.0011 | |
| 2023/06/04 19:33:37 - mmengine - INFO - Epoch(train) [6][ 400/1954] lr: 1.9250e-04 eta: 2:16:09 time: 0.8310 data_time: 0.2791 memory: 15585 loss: 0.0015 | |
| 2023/06/04 19:35:07 - mmengine - INFO - Epoch(train) [6][ 500/1954] lr: 1.8937e-04 eta: 2:14:44 time: 0.9613 data_time: 0.0015 memory: 15585 loss: 0.0056 | |
| 2023/06/04 19:36:37 - mmengine - INFO - Epoch(train) [6][ 600/1954] lr: 1.8625e-04 eta: 2:13:19 time: 0.9406 data_time: 0.0016 memory: 15585 loss: 0.0036 | |
| 2023/06/04 19:38:03 - mmengine - INFO - Epoch(train) [6][ 700/1954] lr: 1.8313e-04 eta: 2:11:52 time: 0.8658 data_time: 0.0020 memory: 15585 loss: 0.0054 | |
| 2023/06/04 19:39:31 - mmengine - INFO - Epoch(train) [6][ 800/1954] lr: 1.8002e-04 eta: 2:10:24 time: 0.8828 data_time: 0.0016 memory: 15585 loss: 0.0042 | |
| 2023/06/04 19:40:59 - mmengine - INFO - Epoch(train) [6][ 900/1954] lr: 1.7691e-04 eta: 2:08:58 time: 0.9321 data_time: 0.0017 memory: 15585 loss: 0.0021 | |
| 2023/06/04 19:42:26 - mmengine - INFO - Epoch(train) [6][1000/1954] lr: 1.7381e-04 eta: 2:07:30 time: 0.9093 data_time: 0.0016 memory: 15585 loss: 0.0020 | |
| 2023/06/04 19:43:52 - mmengine - INFO - Epoch(train) [6][1100/1954] lr: 1.7072e-04 eta: 2:06:03 time: 0.8919 data_time: 0.0016 memory: 15585 loss: 0.0021 | |
| 2023/06/04 19:45:17 - mmengine - INFO - Epoch(train) [6][1200/1954] lr: 1.6764e-04 eta: 2:04:33 time: 0.8498 data_time: 0.0021 memory: 15585 loss: 0.0033 | |
| 2023/06/04 19:45:42 - mmengine - INFO - Exp name: convnext_small_4xb256_sdv1_1m_lr4e-4_aug_1e-1_20230604_170206 | |
| 2023/06/04 19:46:39 - mmengine - INFO - Epoch(train) [6][1300/1954] lr: 1.6457e-04 eta: 2:03:02 time: 0.8278 data_time: 0.0017 memory: 15585 loss: 0.0008 | |
| 2023/06/04 19:48:01 - mmengine - INFO - Epoch(train) [6][1400/1954] lr: 1.6151e-04 eta: 2:01:32 time: 0.8337 data_time: 0.0016 memory: 15585 loss: 0.0033 | |
| 2023/06/04 19:49:28 - mmengine - INFO - Epoch(train) [6][1500/1954] lr: 1.5846e-04 eta: 2:00:04 time: 0.8705 data_time: 0.0018 memory: 15585 loss: 0.0008 | |
| 2023/06/04 19:50:54 - mmengine - INFO - Epoch(train) [6][1600/1954] lr: 1.5542e-04 eta: 1:58:36 time: 0.8746 data_time: 0.0015 memory: 15585 loss: 0.0025 | |
| 2023/06/04 19:52:16 - mmengine - INFO - Epoch(train) [6][1700/1954] lr: 1.5239e-04 eta: 1:57:06 time: 0.8247 data_time: 0.0016 memory: 15585 loss: 0.0024 | |
| 2023/06/04 19:53:41 - mmengine - INFO - Epoch(train) [6][1800/1954] lr: 1.4938e-04 eta: 1:55:37 time: 0.8379 data_time: 0.0017 memory: 15585 loss: 0.0022 | |
| 2023/06/04 19:55:05 - mmengine - INFO - Epoch(train) [6][1900/1954] lr: 1.4638e-04 eta: 1:54:08 time: 0.8156 data_time: 0.0016 memory: 15585 loss: 0.0031 | |
| 2023/06/04 19:55:50 - mmengine - INFO - Exp name: convnext_small_4xb256_sdv1_1m_lr4e-4_aug_1e-1_20230604_170206 | |
| 2023/06/04 19:55:50 - mmengine - INFO - Saving checkpoint at 6 epochs | |
| 2023/06/04 19:56:27 - mmengine - INFO - Epoch(val) [6][29/29] accuracy/top1: 99.8747 single-label/precision_classwise: [99.80462646484375, 99.9611587524414] single-label/recall_classwise: [99.96842956542969, 99.75968933105469] single-label/f1-score_classwise: [99.88645935058594, 99.86031341552734] data_time: 0.2480 time: 0.6316 | |
| 2023/06/04 19:57:58 - mmengine - INFO - Epoch(train) [7][ 100/1954] lr: 1.4180e-04 eta: 1:51:55 time: 0.8383 data_time: 0.3229 memory: 15585 loss: 0.0004 | |
| 2023/06/04 19:59:25 - mmengine - INFO - Epoch(train) [7][ 200/1954] lr: 1.3884e-04 eta: 1:50:28 time: 0.8227 data_time: 0.0017 memory: 15585 loss: 0.0021 | |
| 2023/06/04 20:00:30 - mmengine - INFO - Exp name: convnext_small_4xb256_sdv1_1m_lr4e-4_aug_1e-1_20230604_170206 | |
| 2023/06/04 20:00:49 - mmengine - INFO - Epoch(train) [7][ 300/1954] lr: 1.3590e-04 eta: 1:48:59 time: 0.8198 data_time: 0.0016 memory: 15585 loss: 0.0034 | |
| 2023/06/04 20:02:14 - mmengine - INFO - Epoch(train) [7][ 400/1954] lr: 1.3298e-04 eta: 1:47:31 time: 0.8423 data_time: 0.0016 memory: 15585 loss: 0.0017 | |
| 2023/06/04 20:03:38 - mmengine - INFO - Epoch(train) [7][ 500/1954] lr: 1.3007e-04 eta: 1:46:02 time: 0.8357 data_time: 0.0019 memory: 15585 loss: 0.0038 | |
| 2023/06/04 20:05:03 - mmengine - INFO - Epoch(train) [7][ 600/1954] lr: 1.2719e-04 eta: 1:44:34 time: 0.8166 data_time: 0.0019 memory: 15585 loss: 0.0010 | |
| 2023/06/04 20:06:30 - mmengine - INFO - Epoch(train) [7][ 700/1954] lr: 1.2432e-04 eta: 1:43:07 time: 0.8601 data_time: 0.0016 memory: 15585 loss: 0.0013 | |
| 2023/06/04 20:07:56 - mmengine - INFO - Epoch(train) [7][ 800/1954] lr: 1.2148e-04 eta: 1:41:39 time: 0.8406 data_time: 0.0016 memory: 15585 loss: 0.0015 | |
| 2023/06/04 20:09:21 - mmengine - INFO - Epoch(train) [7][ 900/1954] lr: 1.1866e-04 eta: 1:40:12 time: 0.8938 data_time: 0.0018 memory: 15585 loss: 0.0039 | |
| 2023/06/04 20:10:47 - mmengine - INFO - Epoch(train) [7][1000/1954] lr: 1.1586e-04 eta: 1:38:44 time: 0.8393 data_time: 0.0016 memory: 15585 loss: 0.0029 | |
| 2023/06/04 20:12:11 - mmengine - INFO - Epoch(train) [7][1100/1954] lr: 1.1308e-04 eta: 1:37:16 time: 0.8667 data_time: 0.0016 memory: 15585 loss: 0.0026 | |
| 2023/06/04 20:13:36 - mmengine - INFO - Epoch(train) [7][1200/1954] lr: 1.1033e-04 eta: 1:35:48 time: 0.8391 data_time: 0.0016 memory: 15585 loss: 0.0006 | |
| 2023/06/04 20:14:44 - mmengine - INFO - Exp name: convnext_small_4xb256_sdv1_1m_lr4e-4_aug_1e-1_20230604_170206 | |
| 2023/06/04 20:15:04 - mmengine - INFO - Epoch(train) [7][1300/1954] lr: 1.0760e-04 eta: 1:34:21 time: 0.9049 data_time: 0.0018 memory: 15585 loss: 0.0019 | |
| 2023/06/04 20:16:28 - mmengine - INFO - Epoch(train) [7][1400/1954] lr: 1.0490e-04 eta: 1:32:53 time: 0.8195 data_time: 0.0019 memory: 15585 loss: 0.0023 | |
| 2023/06/04 20:17:53 - mmengine - INFO - Epoch(train) [7][1500/1954] lr: 1.0222e-04 eta: 1:31:25 time: 0.8479 data_time: 0.0016 memory: 15585 loss: 0.0046 | |
| 2023/06/04 20:19:20 - mmengine - INFO - Epoch(train) [7][1600/1954] lr: 9.9568e-05 eta: 1:29:58 time: 0.8420 data_time: 0.0015 memory: 15585 loss: 0.0008 | |
| 2023/06/04 20:20:50 - mmengine - INFO - Epoch(train) [7][1700/1954] lr: 9.6944e-05 eta: 1:28:33 time: 0.8856 data_time: 0.0020 memory: 15585 loss: 0.0009 | |
| 2023/06/04 20:22:13 - mmengine - INFO - Epoch(train) [7][1800/1954] lr: 9.4348e-05 eta: 1:27:05 time: 0.8360 data_time: 0.0021 memory: 15585 loss: 0.0006 | |
| 2023/06/04 20:23:37 - mmengine - INFO - Epoch(train) [7][1900/1954] lr: 9.1781e-05 eta: 1:25:36 time: 0.8575 data_time: 0.0018 memory: 15585 loss: 0.0041 | |
| 2023/06/04 20:24:21 - mmengine - INFO - Exp name: convnext_small_4xb256_sdv1_1m_lr4e-4_aug_1e-1_20230604_170206 | |
| 2023/06/04 20:24:21 - mmengine - INFO - Saving checkpoint at 7 epochs | |
| 2023/06/04 20:24:57 - mmengine - INFO - Epoch(val) [7][29/29] accuracy/top1: 99.8921 single-label/precision_classwise: [99.82352447509766, 99.97669982910156] single-label/recall_classwise: [99.98106384277344, 99.78294372558594] single-label/f1-score_classwise: [99.90222930908203, 99.87973022460938] data_time: 0.2443 time: 0.6280 | |
| 2023/06/04 20:26:31 - mmengine - INFO - Epoch(train) [8][ 100/1954] lr: 8.7885e-05 eta: 1:23:24 time: 0.8846 data_time: 0.0018 memory: 15585 loss: 0.0017 | |
| 2023/06/04 20:27:56 - mmengine - INFO - Epoch(train) [8][ 200/1954] lr: 8.5394e-05 eta: 1:21:57 time: 0.8424 data_time: 0.0015 memory: 15585 loss: 0.0024 | |
| 2023/06/04 20:29:23 - mmengine - INFO - Epoch(train) [8][ 300/1954] lr: 8.2933e-05 eta: 1:20:30 time: 0.8495 data_time: 0.0015 memory: 15585 loss: 0.0002 | |
| 2023/06/04 20:29:46 - mmengine - INFO - Exp name: convnext_small_4xb256_sdv1_1m_lr4e-4_aug_1e-1_20230604_170206 | |
| 2023/06/04 20:30:48 - mmengine - INFO - Epoch(train) [8][ 400/1954] lr: 8.0504e-05 eta: 1:19:02 time: 0.8393 data_time: 0.0016 memory: 15585 loss: 0.0004 | |
| 2023/06/04 20:32:12 - mmengine - INFO - Epoch(train) [8][ 500/1954] lr: 7.8107e-05 eta: 1:17:34 time: 0.8204 data_time: 0.0017 memory: 15585 loss: 0.0004 | |
| 2023/06/04 20:33:36 - mmengine - INFO - Epoch(train) [8][ 600/1954] lr: 7.5743e-05 eta: 1:16:07 time: 0.8491 data_time: 0.0175 memory: 15585 loss: 0.0003 | |
| 2023/06/04 20:34:59 - mmengine - INFO - Epoch(train) [8][ 700/1954] lr: 7.3413e-05 eta: 1:14:38 time: 0.7804 data_time: 0.0844 memory: 15585 loss: 0.0019 | |
| 2023/06/04 20:36:23 - mmengine - INFO - Epoch(train) [8][ 800/1954] lr: 7.1116e-05 eta: 1:13:10 time: 0.8845 data_time: 0.1173 memory: 15585 loss: 0.0004 | |
| 2023/06/04 20:37:48 - mmengine - INFO - Epoch(train) [8][ 900/1954] lr: 6.8854e-05 eta: 1:11:43 time: 0.8761 data_time: 0.3358 memory: 15585 loss: 0.0009 | |
| 2023/06/04 20:39:28 - mmengine - INFO - Epoch(train) [8][1000/1954] lr: 6.6627e-05 eta: 1:10:21 time: 1.1074 data_time: 0.5895 memory: 15585 loss: 0.0014 | |
| 2023/06/04 20:41:01 - mmengine - INFO - Epoch(train) [8][1100/1954] lr: 6.4436e-05 eta: 1:08:56 time: 0.7262 data_time: 0.2097 memory: 15585 loss: 0.0008 | |
| 2023/06/04 20:42:16 - mmengine - INFO - Epoch(train) [8][1200/1954] lr: 6.2282e-05 eta: 1:07:25 time: 0.7830 data_time: 0.2032 memory: 15585 loss: 0.0012 | |
| 2023/06/04 20:43:36 - mmengine - INFO - Epoch(train) [8][1300/1954] lr: 6.0164e-05 eta: 1:05:57 time: 0.7770 data_time: 0.0015 memory: 15585 loss: 0.0018 | |
| 2023/06/04 20:43:55 - mmengine - INFO - Exp name: convnext_small_4xb256_sdv1_1m_lr4e-4_aug_1e-1_20230604_170206 | |
| 2023/06/04 20:45:00 - mmengine - INFO - Epoch(train) [8][1400/1954] lr: 5.8083e-05 eta: 1:04:29 time: 0.8211 data_time: 0.0326 memory: 15585 loss: 0.0026 | |
| 2023/06/04 20:46:23 - mmengine - INFO - Epoch(train) [8][1500/1954] lr: 5.6041e-05 eta: 1:03:01 time: 0.8388 data_time: 0.1047 memory: 15585 loss: 0.0008 | |
| 2023/06/04 20:47:48 - mmengine - INFO - Epoch(train) [8][1600/1954] lr: 5.4037e-05 eta: 1:01:34 time: 0.8542 data_time: 0.1727 memory: 15585 loss: 0.0008 | |
| 2023/06/04 20:49:15 - mmengine - INFO - Epoch(train) [8][1700/1954] lr: 5.2072e-05 eta: 1:00:08 time: 0.8717 data_time: 0.3553 memory: 15585 loss: 0.0013 | |
| 2023/06/04 20:50:39 - mmengine - INFO - Epoch(train) [8][1800/1954] lr: 5.0147e-05 eta: 0:58:40 time: 0.8721 data_time: 0.3573 memory: 15585 loss: 0.0007 | |
| 2023/06/04 20:52:04 - mmengine - INFO - Epoch(train) [8][1900/1954] lr: 4.8261e-05 eta: 0:57:13 time: 0.8718 data_time: 0.3548 memory: 15585 loss: 0.0060 | |
| 2023/06/04 20:52:48 - mmengine - INFO - Exp name: convnext_small_4xb256_sdv1_1m_lr4e-4_aug_1e-1_20230604_170206 | |
| 2023/06/04 20:52:48 - mmengine - INFO - Saving checkpoint at 8 epochs | |
| 2023/06/04 20:53:25 - mmengine - INFO - Epoch(val) [8][29/29] accuracy/top1: 99.9235 single-label/precision_classwise: [99.88018035888672, 99.97671508789062] single-label/recall_classwise: [99.98106384277344, 99.85271453857422] single-label/f1-score_classwise: [99.93060302734375, 99.9146728515625] data_time: 0.2632 time: 0.6462 | |
| 2023/06/04 20:54:57 - mmengine - INFO - Epoch(train) [9][ 100/1954] lr: 4.5437e-05 eta: 0:55:00 time: 0.8541 data_time: 0.1202 memory: 15585 loss: 0.0011 | |
| 2023/06/04 20:56:23 - mmengine - INFO - Epoch(train) [9][ 200/1954] lr: 4.3656e-05 eta: 0:53:33 time: 0.7904 data_time: 0.0016 memory: 15585 loss: 0.0006 | |
| 2023/06/04 20:57:51 - mmengine - INFO - Epoch(train) [9][ 300/1954] lr: 4.1916e-05 eta: 0:52:07 time: 0.8504 data_time: 0.0015 memory: 15585 loss: 0.0006 | |
| 2023/06/04 20:58:51 - mmengine - INFO - Exp name: convnext_small_4xb256_sdv1_1m_lr4e-4_aug_1e-1_20230604_170206 | |
| 2023/06/04 20:59:18 - mmengine - INFO - Epoch(train) [9][ 400/1954] lr: 4.0218e-05 eta: 0:50:40 time: 0.8378 data_time: 0.0016 memory: 15585 loss: 0.0007 | |
| 2023/06/04 21:00:47 - mmengine - INFO - Epoch(train) [9][ 500/1954] lr: 3.8563e-05 eta: 0:49:14 time: 0.8297 data_time: 0.0018 memory: 15585 loss: 0.0013 | |
| 2023/06/04 21:02:13 - mmengine - INFO - Epoch(train) [9][ 600/1954] lr: 3.6951e-05 eta: 0:47:47 time: 0.8879 data_time: 0.0018 memory: 15585 loss: 0.0045 | |
| 2023/06/04 21:03:39 - mmengine - INFO - Epoch(train) [9][ 700/1954] lr: 3.5383e-05 eta: 0:46:20 time: 0.8603 data_time: 0.0015 memory: 15585 loss: 0.0007 | |
| 2023/06/04 21:05:05 - mmengine - INFO - Epoch(train) [9][ 800/1954] lr: 3.3858e-05 eta: 0:44:54 time: 0.9071 data_time: 0.0017 memory: 15585 loss: 0.0047 | |
| 2023/06/04 21:06:31 - mmengine - INFO - Epoch(train) [9][ 900/1954] lr: 3.2378e-05 eta: 0:43:27 time: 0.8494 data_time: 0.0843 memory: 15585 loss: 0.0008 | |
| 2023/06/04 21:07:55 - mmengine - INFO - Epoch(train) [9][1000/1954] lr: 3.0942e-05 eta: 0:42:00 time: 0.8001 data_time: 0.0247 memory: 15585 loss: 0.0004 | |
| 2023/06/04 21:09:22 - mmengine - INFO - Epoch(train) [9][1100/1954] lr: 2.9551e-05 eta: 0:40:33 time: 0.9163 data_time: 0.0022 memory: 15585 loss: 0.0003 | |
| 2023/06/04 21:10:49 - mmengine - INFO - Epoch(train) [9][1200/1954] lr: 2.8205e-05 eta: 0:39:07 time: 0.9418 data_time: 0.0019 memory: 15585 loss: 0.0014 | |
| 2023/06/04 21:12:12 - mmengine - INFO - Epoch(train) [9][1300/1954] lr: 2.6905e-05 eta: 0:37:39 time: 0.8361 data_time: 0.0017 memory: 15585 loss: 0.0013 | |
| 2023/06/04 21:13:08 - mmengine - INFO - Exp name: convnext_small_4xb256_sdv1_1m_lr4e-4_aug_1e-1_20230604_170206 | |
| 2023/06/04 21:13:34 - mmengine - INFO - Epoch(train) [9][1400/1954] lr: 2.5652e-05 eta: 0:36:12 time: 0.8759 data_time: 0.0018 memory: 15585 loss: 0.0027 | |
| 2023/06/04 21:14:57 - mmengine - INFO - Epoch(train) [9][1500/1954] lr: 2.4444e-05 eta: 0:34:45 time: 0.8527 data_time: 0.0017 memory: 15585 loss: 0.0007 | |
| 2023/06/04 21:16:23 - mmengine - INFO - Epoch(train) [9][1600/1954] lr: 2.3283e-05 eta: 0:33:18 time: 0.8638 data_time: 0.0020 memory: 15585 loss: 0.0000 | |
| 2023/06/04 21:17:46 - mmengine - INFO - Epoch(train) [9][1700/1954] lr: 2.2170e-05 eta: 0:31:51 time: 0.8282 data_time: 0.0017 memory: 15585 loss: 0.0012 | |
| 2023/06/04 21:19:13 - mmengine - INFO - Epoch(train) [9][1800/1954] lr: 2.1103e-05 eta: 0:30:25 time: 0.9069 data_time: 0.0017 memory: 15585 loss: 0.0033 | |
| 2023/06/04 21:20:38 - mmengine - INFO - Epoch(train) [9][1900/1954] lr: 2.0084e-05 eta: 0:28:58 time: 0.8268 data_time: 0.0017 memory: 15585 loss: 0.0002 | |
| 2023/06/04 21:21:25 - mmengine - INFO - Exp name: convnext_small_4xb256_sdv1_1m_lr4e-4_aug_1e-1_20230604_170206 | |
| 2023/06/04 21:21:25 - mmengine - INFO - Saving checkpoint at 9 epochs | |
| 2023/06/04 21:22:01 - mmengine - INFO - Epoch(val) [9][29/29] accuracy/top1: 99.9478 single-label/precision_classwise: [99.91169738769531, 99.99224090576172] single-label/recall_classwise: [99.99369049072266, 99.89147186279297] single-label/f1-score_classwise: [99.95266723632812, 99.94183349609375] data_time: 0.2645 time: 0.6500 | |
| 2023/06/04 21:23:31 - mmengine - INFO - Epoch(train) [10][ 100/1954] lr: 1.8608e-05 eta: 0:26:45 time: 0.9019 data_time: 0.2041 memory: 15585 loss: 0.0012 | |
| 2023/06/04 21:24:57 - mmengine - INFO - Epoch(train) [10][ 200/1954] lr: 1.7711e-05 eta: 0:25:18 time: 0.8680 data_time: 0.0016 memory: 15585 loss: 0.0020 | |
| 2023/06/04 21:26:22 - mmengine - INFO - Epoch(train) [10][ 300/1954] lr: 1.6863e-05 eta: 0:23:51 time: 0.8528 data_time: 0.0017 memory: 15585 loss: 0.0015 | |
| 2023/06/04 21:27:50 - mmengine - INFO - Epoch(train) [10][ 400/1954] lr: 1.6063e-05 eta: 0:22:25 time: 0.8909 data_time: 0.0016 memory: 15585 loss: 0.0014 | |
| 2023/06/04 21:28:00 - mmengine - INFO - Exp name: convnext_small_4xb256_sdv1_1m_lr4e-4_aug_1e-1_20230604_170206 | |
| 2023/06/04 21:29:17 - mmengine - INFO - Epoch(train) [10][ 500/1954] lr: 1.5311e-05 eta: 0:20:58 time: 0.8886 data_time: 0.0016 memory: 15585 loss: 0.0003 | |
| 2023/06/04 21:30:43 - mmengine - INFO - Epoch(train) [10][ 600/1954] lr: 1.4609e-05 eta: 0:19:32 time: 0.8753 data_time: 0.0015 memory: 15585 loss: 0.0002 | |
| 2023/06/04 21:32:06 - mmengine - INFO - Epoch(train) [10][ 700/1954] lr: 1.3956e-05 eta: 0:18:05 time: 0.8747 data_time: 0.0019 memory: 15585 loss: 0.0004 | |
| 2023/06/04 21:33:30 - mmengine - INFO - Epoch(train) [10][ 800/1954] lr: 1.3353e-05 eta: 0:16:38 time: 0.8568 data_time: 0.0016 memory: 15585 loss: 0.0007 | |
| 2023/06/04 21:34:58 - mmengine - INFO - Epoch(train) [10][ 900/1954] lr: 1.2798e-05 eta: 0:15:12 time: 0.8618 data_time: 0.0018 memory: 15585 loss: 0.0006 | |
| 2023/06/04 21:36:22 - mmengine - INFO - Epoch(train) [10][1000/1954] lr: 1.2294e-05 eta: 0:13:45 time: 0.8307 data_time: 0.0015 memory: 15585 loss: 0.0028 | |
| 2023/06/04 21:37:48 - mmengine - INFO - Epoch(train) [10][1100/1954] lr: 1.1840e-05 eta: 0:12:19 time: 0.8169 data_time: 0.0016 memory: 15585 loss: 0.0003 | |
| 2023/06/04 21:39:11 - mmengine - INFO - Epoch(train) [10][1200/1954] lr: 1.1435e-05 eta: 0:10:52 time: 0.8205 data_time: 0.0018 memory: 15585 loss: 0.0001 | |
| 2023/06/04 21:40:36 - mmengine - INFO - Epoch(train) [10][1300/1954] lr: 1.1080e-05 eta: 0:09:25 time: 0.8638 data_time: 0.0016 memory: 15585 loss: 0.0003 | |
| 2023/06/04 21:41:59 - mmengine - INFO - Epoch(train) [10][1400/1954] lr: 1.0776e-05 eta: 0:07:59 time: 0.8085 data_time: 0.0016 memory: 15585 loss: 0.0006 | |
| 2023/06/04 21:42:09 - mmengine - INFO - Exp name: convnext_small_4xb256_sdv1_1m_lr4e-4_aug_1e-1_20230604_170206 | |
| 2023/06/04 21:43:24 - mmengine - INFO - Epoch(train) [10][1500/1954] lr: 1.0522e-05 eta: 0:06:32 time: 0.8373 data_time: 0.0018 memory: 15585 loss: 0.0005 | |
| 2023/06/04 21:44:51 - mmengine - INFO - Epoch(train) [10][1600/1954] lr: 1.0318e-05 eta: 0:05:06 time: 0.8920 data_time: 0.0016 memory: 15585 loss: 0.0011 | |
| 2023/06/04 21:46:16 - mmengine - INFO - Epoch(train) [10][1700/1954] lr: 1.0164e-05 eta: 0:03:39 time: 0.9105 data_time: 0.0017 memory: 15585 loss: 0.0002 | |
| 2023/06/04 21:47:42 - mmengine - INFO - Epoch(train) [10][1800/1954] lr: 1.0061e-05 eta: 0:02:13 time: 0.8588 data_time: 0.0016 memory: 15585 loss: 0.0003 | |
| 2023/06/04 21:49:09 - mmengine - INFO - Epoch(train) [10][1900/1954] lr: 1.0008e-05 eta: 0:00:46 time: 0.8324 data_time: 0.0019 memory: 15585 loss: 0.0003 | |
| 2023/06/04 21:49:53 - mmengine - INFO - Exp name: convnext_small_4xb256_sdv1_1m_lr4e-4_aug_1e-1_20230604_170206 | |
| 2023/06/04 21:49:53 - mmengine - INFO - Saving checkpoint at 10 epochs | |
| 2023/06/04 21:50:29 - mmengine - INFO - Epoch(val) [10][29/29] accuracy/top1: 99.9478 single-label/precision_classwise: [99.9242935180664, 99.97673034667969] single-label/recall_classwise: [99.98106384277344, 99.90697479248047] single-label/f1-score_classwise: [99.95266723632812, 99.94184875488281] data_time: 0.2430 time: 0.6269 | |