convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1/20230606_005643/20230606_005643.log

2023/06/06 00:56:47 - 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: 545223607
    GPU 0,1,2,3: NVIDIA A100-SXM4-80GB
    CUDA_HOME: /mnt/petrelfs/share/cuda-11.6
    NVCC: Cuda compilation tools, release 11.6, V11.6.124
    GCC: gcc (GCC) 7.5.0
    PyTorch: 1.13.1
    PyTorch compiling details: PyTorch built with:
  - GCC 9.3
  - C++ Version: 201402
  - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications
  - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815)
  - OpenMP 201511 (a.k.a. OpenMP 4.5)
  - LAPACK is enabled (usually provided by MKL)
  - NNPACK is enabled
  - CPU capability usage: AVX2
  - CUDA Runtime 11.6
  - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37
  - CuDNN 8.3.2  (built against CUDA 11.5)
  - Magma 2.6.1
  - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, 

    TorchVision: 0.14.1
    OpenCV: 4.7.0
    MMEngine: 0.7.3

Runtime environment:
    cudnn_benchmark: True
    mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0}
    dist_cfg: {'backend': 'nccl'}
    seed: None
    deterministic: False
    Distributed launcher: slurm
    Distributed training: True
    GPU number: 4
------------------------------------------------------------

2023/06/06 00:56:51 - mmengine - INFO - Config:
optim_wrapper = dict(
    optimizer=dict(
        type='AdamW',
        lr=0.0004,
        weight_decay=0.05,
        eps=1e-08,
        betas=(0.9, 0.999),
        _scope_='mmpretrain'),
    paramwise_cfg=dict(
        norm_decay_mult=0.0,
        bias_decay_mult=0.0,
        flat_decay_mult=0.0,
        custom_keys=dict({
            '.absolute_pos_embed': dict(decay_mult=0.0),
            '.relative_position_bias_table': dict(decay_mult=0.0)
        })),
    type='AmpOptimWrapper',
    dtype='bfloat16',
    clip_grad=None)
param_scheduler = [
    dict(type='CosineAnnealingLR', eta_min=1e-05, by_epoch=False, begin=0)
]
train_cfg = dict(by_epoch=True, max_epochs=10, val_interval=1)
val_cfg = dict()
test_cfg = dict()
auto_scale_lr = dict(base_batch_size=4096)
model = dict(
    type='ImageClassifier',
    backbone=dict(
        frozen_stages=2,
        type='ConvNeXt',
        arch='small',
        drop_path_rate=0.4,
        init_cfg=dict(
            type='Pretrained',
            checkpoint=
            'https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth',
            prefix='backbone')),
    head=dict(
        type='LinearClsHead',
        num_classes=2,
        in_channels=768,
        loss=dict(type='CrossEntropyLoss', loss_weight=1.0),
        init_cfg=None),
    init_cfg=dict(
        type='TruncNormal', layer=['Conv2d', 'Linear'], std=0.02, bias=0.0),
    train_cfg=None)
dataset_type = 'CustomDataset'
data_preprocessor = dict(
    num_classes=2,
    mean=[123.675, 116.28, 103.53],
    std=[58.395, 57.12, 57.375],
    to_rgb=True)
bgr_mean = [103.53, 116.28, 123.675]
bgr_std = [57.375, 57.12, 58.395]
train_pipeline = [
    dict(type='LoadImageFromFile'),
    dict(
        type='RandomResizedCrop',
        scale=224,
        backend='pillow',
        interpolation='bicubic'),
    dict(type='RandomFlip', prob=0.5, direction='horizontal'),
    dict(type='JPEG', compress_val=65, prob=0.1),
    dict(type='GaussianBlur', radius=1.5, prob=0.1),
    dict(type='PackInputs')
]
test_pipeline = [
    dict(type='LoadImageFromFile'),
    dict(
        type='ResizeEdge',
        scale=256,
        edge='short',
        backend='pillow',
        interpolation='bicubic'),
    dict(type='CenterCrop', crop_size=224),
    dict(type='PackInputs')
]
train_dataloader = dict(
    pin_memory=True,
    persistent_workers=True,
    collate_fn=dict(type='default_collate'),
    batch_size=256,
    num_workers=10,
    dataset=dict(
        type='ConcatDataset',
        datasets=[
            dict(
                type='CustomDataset',
                data_root='/mnt/petrelfs/luzeyu/workspace/fakebench/dataset',
                ann_file=
                '/mnt/petrelfs/luzeyu/workspace/fakebench/dataset/meta/train/all_0.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/all_1.csv',
                pipeline=[
                    dict(type='LoadImageFromFile'),
                    dict(
                        type='RandomResizedCrop',
                        scale=224,
                        backend='pillow',
                        interpolation='bicubic'),
                    dict(type='RandomFlip', prob=0.5, direction='horizontal'),
                    dict(type='JPEG', compress_val=65, prob=0.1),
                    dict(type='GaussianBlur', radius=1.5, prob=0.1),
                    dict(type='PackInputs')
                ]),
            dict(
                type='CustomDataset',
                data_root='/mnt/petrelfs/luzeyu/workspace/fakebench/dataset',
                ann_file=
                '/mnt/petrelfs/luzeyu/workspace/fakebench/dataset/meta/train/stylegan3fake8w.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')
                ]),
            dict(
                type='CustomDataset',
                data_root='/mnt/petrelfs/luzeyu/workspace/fakebench/dataset',
                ann_file=
                '/mnt/petrelfs/luzeyu/workspace/fakebench/dataset/meta/train/stylegan3real8w.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/stablediffusionV2-1-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='/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='/mnt/petrelfs/luzeyu/workspace/fakebench/dataset',
                ann_file=
                '/mnt/petrelfs/luzeyu/workspace/fakebench/dataset/meta/val/if-dpmsolver++-25-1w.tsv',
                pipeline=[
                    dict(type='LoadImageFromFile'),
                    dict(
                        type='RandomResizedCrop',
                        scale=224,
                        backend='pillow',
                        interpolation='bicubic'),
                    dict(type='RandomFlip', prob=0.5, direction='horizontal'),
                    dict(type='JPEG', compress_val=65, prob=0.1),
                    dict(type='GaussianBlur', radius=1.5, prob=0.1),
                    dict(type='PackInputs')
                ]),
            dict(
                type='CustomDataset',
                data_root='',
                ann_file=
                '/mnt/petrelfs/luzeyu/workspace/fakebench/dataset/meta/val/cc1w.csv',
                pipeline=[
                    dict(type='LoadImageFromFile'),
                    dict(
                        type='RandomResizedCrop',
                        scale=224,
                        backend='pillow',
                        interpolation='bicubic'),
                    dict(type='RandomFlip', prob=0.5, direction='horizontal'),
                    dict(type='JPEG', compress_val=65, prob=0.1),
                    dict(type='GaussianBlur', radius=1.5, prob=0.1),
                    dict(type='PackInputs')
                ])
        ]),
    sampler=dict(type='DefaultSampler', shuffle=False))
val_evaluator = [
    dict(type='Accuracy', topk=1),
    dict(type='SingleLabelMetric', average=None)
]
test_dataloader = dict(
    pin_memory=True,
    persistent_workers=True,
    collate_fn=dict(type='default_collate'),
    batch_size=256,
    num_workers=10,
    dataset=dict(
        type='ConcatDataset',
        datasets=[
            dict(
                type='CustomDataset',
                data_root='/mnt/petrelfs/luzeyu/workspace/fakebench/dataset',
                ann_file=
                '/mnt/petrelfs/luzeyu/workspace/fakebench/dataset/meta/val/stablediffusionV2-1-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='/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='/mnt/petrelfs/luzeyu/workspace/fakebench/dataset',
                ann_file=
                '/mnt/petrelfs/luzeyu/workspace/fakebench/dataset/meta/val/if-dpmsolver++-25-1w.tsv',
                pipeline=[
                    dict(type='LoadImageFromFile'),
                    dict(
                        type='RandomResizedCrop',
                        scale=224,
                        backend='pillow',
                        interpolation='bicubic'),
                    dict(type='RandomFlip', prob=0.5, direction='horizontal'),
                    dict(type='JPEG', compress_val=65, prob=0.1),
                    dict(type='GaussianBlur', radius=1.5, prob=0.1),
                    dict(type='PackInputs')
                ]),
            dict(
                type='CustomDataset',
                data_root='',
                ann_file=
                '/mnt/petrelfs/luzeyu/workspace/fakebench/dataset/meta/val/cc1w.csv',
                pipeline=[
                    dict(type='LoadImageFromFile'),
                    dict(
                        type='RandomResizedCrop',
                        scale=224,
                        backend='pillow',
                        interpolation='bicubic'),
                    dict(type='RandomFlip', prob=0.5, direction='horizontal'),
                    dict(type='JPEG', compress_val=65, prob=0.1),
                    dict(type='GaussianBlur', radius=1.5, prob=0.1),
                    dict(type='PackInputs')
                ])
        ]),
    sampler=dict(type='DefaultSampler', shuffle=False))
test_evaluator = [
    dict(type='Accuracy', topk=1),
    dict(type='SingleLabelMetric', average=None)
]
custom_hooks = [dict(type='EMAHook', momentum=0.0001, priority='ABOVE_NORMAL')]
default_scope = 'mmpretrain'
default_hooks = dict(
    timer=dict(type='IterTimerHook'),
    logger=dict(type='LoggerHook', interval=100),
    param_scheduler=dict(type='ParamSchedulerHook'),
    checkpoint=dict(type='CheckpointHook', interval=1),
    sampler_seed=dict(type='DistSamplerSeedHook'),
    visualization=dict(type='VisualizationHook', enable=True))
env_cfg = dict(
    cudnn_benchmark=True,
    mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0),
    dist_cfg=dict(backend='nccl'))
vis_backends = [dict(type='LocalVisBackend')]
visualizer = dict(
    type='UniversalVisualizer',
    vis_backends=[
        dict(type='LocalVisBackend'),
        dict(type='TensorboardVisBackend')
    ])
log_level = 'INFO'
load_from = None
resume = False
randomness = dict(seed=None, deterministic=False)
launcher = 'slurm'
work_dir = 'workdir/convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1'

2023/06/06 00:57:03 - mmengine - INFO - Hooks will be executed in the following order:
before_run:
(VERY_HIGH   ) RuntimeInfoHook                    
(ABOVE_NORMAL) EMAHook                            
(BELOW_NORMAL) LoggerHook                         
 -------------------- 
after_load_checkpoint:
(ABOVE_NORMAL) EMAHook                            
 -------------------- 
before_train:
(VERY_HIGH   ) RuntimeInfoHook                    
(ABOVE_NORMAL) EMAHook                            
(NORMAL      ) IterTimerHook                      
(VERY_LOW    ) CheckpointHook                     
 -------------------- 
before_train_epoch:
(VERY_HIGH   ) RuntimeInfoHook                    
(NORMAL      ) IterTimerHook                      
(NORMAL      ) DistSamplerSeedHook                
 -------------------- 
before_train_iter:
(VERY_HIGH   ) RuntimeInfoHook                    
(NORMAL      ) IterTimerHook                      
 -------------------- 
after_train_iter:
(VERY_HIGH   ) RuntimeInfoHook                    
(ABOVE_NORMAL) EMAHook                            
(NORMAL      ) IterTimerHook                      
(BELOW_NORMAL) LoggerHook                         
(LOW         ) ParamSchedulerHook                 
(VERY_LOW    ) CheckpointHook                     
 -------------------- 
after_train_epoch:
(NORMAL      ) IterTimerHook                      
(LOW         ) ParamSchedulerHook                 
(VERY_LOW    ) CheckpointHook                     
 -------------------- 
before_val_epoch:
(ABOVE_NORMAL) EMAHook                            
(NORMAL      ) IterTimerHook                      
 -------------------- 
before_val_iter:
(NORMAL      ) IterTimerHook                      
 -------------------- 
after_val_iter:
(NORMAL      ) IterTimerHook                      
(NORMAL      ) VisualizationHook                  
(BELOW_NORMAL) LoggerHook                         
 -------------------- 
after_val_epoch:
(VERY_HIGH   ) RuntimeInfoHook                    
(ABOVE_NORMAL) EMAHook                            
(NORMAL      ) IterTimerHook                      
(BELOW_NORMAL) LoggerHook                         
(LOW         ) ParamSchedulerHook                 
(VERY_LOW    ) CheckpointHook                     
 -------------------- 
before_save_checkpoint:
(ABOVE_NORMAL) EMAHook                            
 -------------------- 
after_train:
(VERY_LOW    ) CheckpointHook                     
 -------------------- 
before_test_epoch:
(ABOVE_NORMAL) EMAHook                            
(NORMAL      ) IterTimerHook                      
 -------------------- 
before_test_iter:
(NORMAL      ) IterTimerHook                      
 -------------------- 
after_test_iter:
(NORMAL      ) IterTimerHook                      
(NORMAL      ) VisualizationHook                  
(BELOW_NORMAL) LoggerHook                         
 -------------------- 
after_test_epoch:
(VERY_HIGH   ) RuntimeInfoHook                    
(ABOVE_NORMAL) EMAHook                            
(NORMAL      ) IterTimerHook                      
(BELOW_NORMAL) LoggerHook                         
 -------------------- 
after_run:
(BELOW_NORMAL) LoggerHook                         
 -------------------- 
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.downsample_layers.2.0.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.downsample_layers.2.0.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.downsample_layers.2.1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.downsample_layers.3.0.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.downsample_layers.3.0.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.downsample_layers.3.1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.0.gamma:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.0.depthwise_conv.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.0.norm.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.0.norm.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.0.pointwise_conv1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.0.pointwise_conv2.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.1.gamma:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.1.depthwise_conv.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.1.norm.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.1.norm.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.1.pointwise_conv1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.1.pointwise_conv2.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.2.gamma:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.2.depthwise_conv.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.2.norm.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.2.norm.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.2.pointwise_conv1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.2.pointwise_conv2.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.3.gamma:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.3.depthwise_conv.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.3.norm.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.3.norm.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.3.pointwise_conv1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.3.pointwise_conv2.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.4.gamma:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.4.depthwise_conv.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.4.norm.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.4.norm.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.4.pointwise_conv1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.4.pointwise_conv2.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.5.gamma:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.5.depthwise_conv.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.5.norm.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.5.norm.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.5.pointwise_conv1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.5.pointwise_conv2.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.6.gamma:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.6.depthwise_conv.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.6.norm.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.6.norm.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.6.pointwise_conv1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.6.pointwise_conv2.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.7.gamma:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.7.depthwise_conv.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.7.norm.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.7.norm.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.7.pointwise_conv1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.7.pointwise_conv2.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.8.gamma:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.8.depthwise_conv.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.8.norm.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.8.norm.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.8.pointwise_conv1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.8.pointwise_conv2.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.9.gamma:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.9.depthwise_conv.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.9.norm.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.9.norm.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.9.pointwise_conv1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.9.pointwise_conv2.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.10.gamma:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.10.depthwise_conv.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.10.norm.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.10.norm.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.10.pointwise_conv1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.10.pointwise_conv2.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.11.gamma:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.11.depthwise_conv.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.11.norm.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.11.norm.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.11.pointwise_conv1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.11.pointwise_conv2.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.12.gamma:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.12.depthwise_conv.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.12.norm.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.12.norm.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.12.pointwise_conv1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.12.pointwise_conv2.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.13.gamma:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.13.depthwise_conv.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.13.norm.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.13.norm.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.13.pointwise_conv1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.13.pointwise_conv2.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.14.gamma:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.14.depthwise_conv.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.14.norm.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.14.norm.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.14.pointwise_conv1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.14.pointwise_conv2.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.15.gamma:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.15.depthwise_conv.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.15.norm.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.15.norm.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.15.pointwise_conv1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.15.pointwise_conv2.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.16.gamma:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.16.depthwise_conv.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.16.norm.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.16.norm.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.16.pointwise_conv1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.16.pointwise_conv2.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.17.gamma:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.17.depthwise_conv.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.17.norm.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.17.norm.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.17.pointwise_conv1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.17.pointwise_conv2.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.18.gamma:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.18.depthwise_conv.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.18.norm.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.18.norm.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.18.pointwise_conv1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.18.pointwise_conv2.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.19.gamma:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.19.depthwise_conv.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.19.norm.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.19.norm.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.19.pointwise_conv1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.19.pointwise_conv2.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.20.gamma:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.20.depthwise_conv.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.20.norm.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.20.norm.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.20.pointwise_conv1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.20.pointwise_conv2.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.21.gamma:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.21.depthwise_conv.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.21.norm.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.21.norm.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.21.pointwise_conv1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.21.pointwise_conv2.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.22.gamma:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.22.depthwise_conv.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.22.norm.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.22.norm.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.22.pointwise_conv1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.22.pointwise_conv2.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.23.gamma:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.23.depthwise_conv.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.23.norm.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.23.norm.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.23.pointwise_conv1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.23.pointwise_conv2.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.24.gamma:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.24.depthwise_conv.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.24.norm.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.24.norm.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.24.pointwise_conv1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.24.pointwise_conv2.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.25.gamma:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.25.depthwise_conv.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.25.norm.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.25.norm.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.25.pointwise_conv1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.25.pointwise_conv2.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.26.gamma:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.26.depthwise_conv.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.26.norm.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.26.norm.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.26.pointwise_conv1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.26.pointwise_conv2.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.3.0.gamma:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.3.0.depthwise_conv.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.3.0.norm.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.3.0.norm.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.3.0.pointwise_conv1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.3.0.pointwise_conv2.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.3.1.gamma:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.3.1.depthwise_conv.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.3.1.norm.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.3.1.norm.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.3.1.pointwise_conv1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.3.1.pointwise_conv2.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.3.2.gamma:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.3.2.depthwise_conv.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.3.2.norm.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.3.2.norm.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.3.2.pointwise_conv1.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.3.2.pointwise_conv2.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.norm3.weight:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.norm3.bias:weight_decay=0.0
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- head.fc.bias:weight_decay=0.0
2023/06/06 00:57:22 - mmengine - INFO - load backbone in model from: https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth
Name of parameter - Initialization information

backbone.downsample_layers.0.0.weight - torch.Size([96, 3, 4, 4]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.downsample_layers.0.0.bias - torch.Size([96]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.downsample_layers.0.1.weight - torch.Size([96]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.downsample_layers.0.1.bias - torch.Size([96]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.downsample_layers.1.0.weight - torch.Size([96]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.downsample_layers.1.0.bias - torch.Size([96]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.downsample_layers.1.1.weight - torch.Size([192, 96, 2, 2]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.downsample_layers.1.1.bias - torch.Size([192]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.downsample_layers.2.0.weight - torch.Size([192]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.downsample_layers.2.0.bias - torch.Size([192]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.downsample_layers.2.1.weight - torch.Size([384, 192, 2, 2]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.downsample_layers.2.1.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.downsample_layers.3.0.weight - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.downsample_layers.3.0.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.downsample_layers.3.1.weight - torch.Size([768, 384, 2, 2]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.downsample_layers.3.1.bias - torch.Size([768]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.0.0.gamma - torch.Size([96]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.0.0.depthwise_conv.weight - torch.Size([96, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.0.0.depthwise_conv.bias - torch.Size([96]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.0.0.norm.weight - torch.Size([96]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.0.0.norm.bias - torch.Size([96]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.0.0.pointwise_conv1.weight - torch.Size([384, 96]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.0.0.pointwise_conv1.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.0.0.pointwise_conv2.weight - torch.Size([96, 384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.0.0.pointwise_conv2.bias - torch.Size([96]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.0.1.gamma - torch.Size([96]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.0.1.depthwise_conv.weight - torch.Size([96, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.0.1.depthwise_conv.bias - torch.Size([96]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.0.1.norm.weight - torch.Size([96]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.0.1.norm.bias - torch.Size([96]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.0.1.pointwise_conv1.weight - torch.Size([384, 96]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.0.1.pointwise_conv1.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.0.1.pointwise_conv2.weight - torch.Size([96, 384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.0.1.pointwise_conv2.bias - torch.Size([96]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.0.2.gamma - torch.Size([96]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.0.2.depthwise_conv.weight - torch.Size([96, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.0.2.depthwise_conv.bias - torch.Size([96]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.0.2.norm.weight - torch.Size([96]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.0.2.norm.bias - torch.Size([96]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.0.2.pointwise_conv1.weight - torch.Size([384, 96]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.0.2.pointwise_conv1.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.0.2.pointwise_conv2.weight - torch.Size([96, 384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.0.2.pointwise_conv2.bias - torch.Size([96]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.1.0.gamma - torch.Size([192]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.1.0.depthwise_conv.weight - torch.Size([192, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.1.0.depthwise_conv.bias - torch.Size([192]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.1.0.norm.weight - torch.Size([192]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.1.0.norm.bias - torch.Size([192]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.1.0.pointwise_conv1.weight - torch.Size([768, 192]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.1.0.pointwise_conv1.bias - torch.Size([768]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.1.0.pointwise_conv2.weight - torch.Size([192, 768]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.1.0.pointwise_conv2.bias - torch.Size([192]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.1.1.gamma - torch.Size([192]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.1.1.depthwise_conv.weight - torch.Size([192, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.1.1.depthwise_conv.bias - torch.Size([192]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.1.1.norm.weight - torch.Size([192]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.1.1.norm.bias - torch.Size([192]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.1.1.pointwise_conv1.weight - torch.Size([768, 192]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.1.1.pointwise_conv1.bias - torch.Size([768]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.1.1.pointwise_conv2.weight - torch.Size([192, 768]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.1.1.pointwise_conv2.bias - torch.Size([192]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.1.2.gamma - torch.Size([192]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.1.2.depthwise_conv.weight - torch.Size([192, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.1.2.depthwise_conv.bias - torch.Size([192]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.1.2.norm.weight - torch.Size([192]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.1.2.norm.bias - torch.Size([192]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.1.2.pointwise_conv1.weight - torch.Size([768, 192]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.1.2.pointwise_conv1.bias - torch.Size([768]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.1.2.pointwise_conv2.weight - torch.Size([192, 768]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.1.2.pointwise_conv2.bias - torch.Size([192]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.0.gamma - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.0.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.0.depthwise_conv.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.0.norm.weight - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.0.norm.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.0.pointwise_conv1.weight - torch.Size([1536, 384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.0.pointwise_conv1.bias - torch.Size([1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.0.pointwise_conv2.weight - torch.Size([384, 1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.0.pointwise_conv2.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.1.gamma - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.1.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.1.depthwise_conv.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.1.norm.weight - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.1.norm.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.1.pointwise_conv1.weight - torch.Size([1536, 384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.1.pointwise_conv1.bias - torch.Size([1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.1.pointwise_conv2.weight - torch.Size([384, 1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.1.pointwise_conv2.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.2.gamma - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.2.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.2.depthwise_conv.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.2.norm.weight - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.2.norm.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.2.pointwise_conv1.weight - torch.Size([1536, 384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.2.pointwise_conv1.bias - torch.Size([1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.2.pointwise_conv2.weight - torch.Size([384, 1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.2.pointwise_conv2.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.3.gamma - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.3.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.3.depthwise_conv.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.3.norm.weight - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.3.norm.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.3.pointwise_conv1.weight - torch.Size([1536, 384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.3.pointwise_conv1.bias - torch.Size([1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.3.pointwise_conv2.weight - torch.Size([384, 1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.3.pointwise_conv2.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.4.gamma - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.4.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.4.depthwise_conv.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.4.norm.weight - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.4.norm.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.4.pointwise_conv1.weight - torch.Size([1536, 384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.4.pointwise_conv1.bias - torch.Size([1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.4.pointwise_conv2.weight - torch.Size([384, 1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.4.pointwise_conv2.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.5.gamma - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.5.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.5.depthwise_conv.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.5.norm.weight - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.5.norm.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.5.pointwise_conv1.weight - torch.Size([1536, 384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.5.pointwise_conv1.bias - torch.Size([1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.5.pointwise_conv2.weight - torch.Size([384, 1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.5.pointwise_conv2.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.6.gamma - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.6.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.6.depthwise_conv.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.6.norm.weight - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.6.norm.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.6.pointwise_conv1.weight - torch.Size([1536, 384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.6.pointwise_conv1.bias - torch.Size([1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.6.pointwise_conv2.weight - torch.Size([384, 1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.6.pointwise_conv2.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.7.gamma - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.7.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.7.depthwise_conv.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.7.norm.weight - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.7.norm.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.7.pointwise_conv1.weight - torch.Size([1536, 384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.7.pointwise_conv1.bias - torch.Size([1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.7.pointwise_conv2.weight - torch.Size([384, 1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.7.pointwise_conv2.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.8.gamma - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.8.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.8.depthwise_conv.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.8.norm.weight - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.8.norm.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.8.pointwise_conv1.weight - torch.Size([1536, 384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.8.pointwise_conv1.bias - torch.Size([1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.8.pointwise_conv2.weight - torch.Size([384, 1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.8.pointwise_conv2.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.9.gamma - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.9.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.9.depthwise_conv.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.9.norm.weight - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.9.norm.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.9.pointwise_conv1.weight - torch.Size([1536, 384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.9.pointwise_conv1.bias - torch.Size([1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.9.pointwise_conv2.weight - torch.Size([384, 1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.9.pointwise_conv2.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.10.gamma - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.10.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.10.depthwise_conv.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.10.norm.weight - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.10.norm.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.10.pointwise_conv1.weight - torch.Size([1536, 384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.10.pointwise_conv1.bias - torch.Size([1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.10.pointwise_conv2.weight - torch.Size([384, 1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.10.pointwise_conv2.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.11.gamma - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.11.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.11.depthwise_conv.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.11.norm.weight - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.11.norm.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.11.pointwise_conv1.weight - torch.Size([1536, 384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.11.pointwise_conv1.bias - torch.Size([1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.11.pointwise_conv2.weight - torch.Size([384, 1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.11.pointwise_conv2.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.12.gamma - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.12.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.12.depthwise_conv.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.12.norm.weight - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.12.norm.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.12.pointwise_conv1.weight - torch.Size([1536, 384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.12.pointwise_conv1.bias - torch.Size([1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.12.pointwise_conv2.weight - torch.Size([384, 1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.12.pointwise_conv2.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.13.gamma - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.13.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.13.depthwise_conv.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.13.norm.weight - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.13.norm.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.13.pointwise_conv1.weight - torch.Size([1536, 384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.13.pointwise_conv1.bias - torch.Size([1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.13.pointwise_conv2.weight - torch.Size([384, 1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.13.pointwise_conv2.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.14.gamma - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.14.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.14.depthwise_conv.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.14.norm.weight - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.14.norm.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.14.pointwise_conv1.weight - torch.Size([1536, 384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.14.pointwise_conv1.bias - torch.Size([1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.14.pointwise_conv2.weight - torch.Size([384, 1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.14.pointwise_conv2.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.15.gamma - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.15.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.15.depthwise_conv.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.15.norm.weight - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.15.norm.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.15.pointwise_conv1.weight - torch.Size([1536, 384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.15.pointwise_conv1.bias - torch.Size([1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.15.pointwise_conv2.weight - torch.Size([384, 1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.15.pointwise_conv2.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.16.gamma - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.16.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.16.depthwise_conv.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.16.norm.weight - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.16.norm.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.16.pointwise_conv1.weight - torch.Size([1536, 384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.16.pointwise_conv1.bias - torch.Size([1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.16.pointwise_conv2.weight - torch.Size([384, 1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.16.pointwise_conv2.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.17.gamma - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.17.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.17.depthwise_conv.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.17.norm.weight - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.17.norm.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.17.pointwise_conv1.weight - torch.Size([1536, 384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.17.pointwise_conv1.bias - torch.Size([1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.17.pointwise_conv2.weight - torch.Size([384, 1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.17.pointwise_conv2.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.18.gamma - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.18.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.18.depthwise_conv.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.18.norm.weight - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.18.norm.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.18.pointwise_conv1.weight - torch.Size([1536, 384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.18.pointwise_conv1.bias - torch.Size([1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.18.pointwise_conv2.weight - torch.Size([384, 1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.18.pointwise_conv2.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.19.gamma - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.19.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.19.depthwise_conv.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.19.norm.weight - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.19.norm.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.19.pointwise_conv1.weight - torch.Size([1536, 384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.19.pointwise_conv1.bias - torch.Size([1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.19.pointwise_conv2.weight - torch.Size([384, 1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.19.pointwise_conv2.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.20.gamma - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.20.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.20.depthwise_conv.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.20.norm.weight - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.20.norm.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.20.pointwise_conv1.weight - torch.Size([1536, 384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.20.pointwise_conv1.bias - torch.Size([1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.20.pointwise_conv2.weight - torch.Size([384, 1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.20.pointwise_conv2.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.21.gamma - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.21.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.21.depthwise_conv.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.21.norm.weight - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.21.norm.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.21.pointwise_conv1.weight - torch.Size([1536, 384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.21.pointwise_conv1.bias - torch.Size([1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.21.pointwise_conv2.weight - torch.Size([384, 1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.21.pointwise_conv2.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.22.gamma - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.22.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.22.depthwise_conv.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.22.norm.weight - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.22.norm.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.22.pointwise_conv1.weight - torch.Size([1536, 384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.22.pointwise_conv1.bias - torch.Size([1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.22.pointwise_conv2.weight - torch.Size([384, 1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.22.pointwise_conv2.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.23.gamma - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.23.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.23.depthwise_conv.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.23.norm.weight - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.23.norm.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.23.pointwise_conv1.weight - torch.Size([1536, 384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.23.pointwise_conv1.bias - torch.Size([1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.23.pointwise_conv2.weight - torch.Size([384, 1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.23.pointwise_conv2.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.24.gamma - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.24.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.24.depthwise_conv.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.24.norm.weight - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.24.norm.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.24.pointwise_conv1.weight - torch.Size([1536, 384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.24.pointwise_conv1.bias - torch.Size([1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.24.pointwise_conv2.weight - torch.Size([384, 1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.24.pointwise_conv2.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.25.gamma - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.25.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.25.depthwise_conv.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.25.norm.weight - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.25.norm.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.25.pointwise_conv1.weight - torch.Size([1536, 384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.25.pointwise_conv1.bias - torch.Size([1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.25.pointwise_conv2.weight - torch.Size([384, 1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.25.pointwise_conv2.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.26.gamma - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.26.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.26.depthwise_conv.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.26.norm.weight - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.26.norm.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.26.pointwise_conv1.weight - torch.Size([1536, 384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.26.pointwise_conv1.bias - torch.Size([1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.26.pointwise_conv2.weight - torch.Size([384, 1536]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.2.26.pointwise_conv2.bias - torch.Size([384]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.3.0.gamma - torch.Size([768]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.3.0.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.3.0.depthwise_conv.bias - torch.Size([768]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.3.0.norm.weight - torch.Size([768]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.3.0.norm.bias - torch.Size([768]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.3.0.pointwise_conv1.weight - torch.Size([3072, 768]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.3.0.pointwise_conv1.bias - torch.Size([3072]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.3.0.pointwise_conv2.weight - torch.Size([768, 3072]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.3.0.pointwise_conv2.bias - torch.Size([768]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.3.1.gamma - torch.Size([768]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.3.1.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.3.1.depthwise_conv.bias - torch.Size([768]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.3.1.norm.weight - torch.Size([768]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.3.1.norm.bias - torch.Size([768]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.3.1.pointwise_conv1.weight - torch.Size([3072, 768]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.3.1.pointwise_conv1.bias - torch.Size([3072]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.3.1.pointwise_conv2.weight - torch.Size([768, 3072]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.3.1.pointwise_conv2.bias - torch.Size([768]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.3.2.gamma - torch.Size([768]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.3.2.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.3.2.depthwise_conv.bias - torch.Size([768]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.3.2.norm.weight - torch.Size([768]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.3.2.norm.bias - torch.Size([768]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.3.2.pointwise_conv1.weight - torch.Size([3072, 768]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.3.2.pointwise_conv1.bias - torch.Size([3072]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.3.2.pointwise_conv2.weight - torch.Size([768, 3072]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.stages.3.2.pointwise_conv2.bias - torch.Size([768]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.norm3.weight - torch.Size([768]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

backbone.norm3.bias - torch.Size([768]): 
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth 

head.fc.weight - torch.Size([2, 768]): 
TruncNormalInit: a=-2, b=2, mean=0, std=0.02, bias=0.0 

head.fc.bias - torch.Size([2]): 
TruncNormalInit: a=-2, b=2, mean=0, std=0.02, bias=0.0 
2023/06/06 00:57:23 - mmengine - WARNING - "FileClient" will be deprecated in future. Please use io functions in https://mmengine.readthedocs.io/en/latest/api/fileio.html#file-io
2023/06/06 00:57:23 - mmengine - WARNING - "HardDiskBackend" is the alias of "LocalBackend" and the former will be deprecated in future.
2023/06/06 00:57:23 - mmengine - INFO - Checkpoints will be saved to /mnt/petrelfs/luzeyu/workspace/fakebench/mmpretrain/workdir/convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1.
2023/06/06 00:58:47 - mmengine - INFO - Epoch(train)  [1][ 100/2046]  lr: 3.9998e-04  eta: 4:47:46  time: 0.7797  data_time: 0.0017  memory: 15587  loss: 0.0458
2023/06/06 01:00:07 - mmengine - INFO - Epoch(train)  [1][ 200/2046]  lr: 3.9991e-04  eta: 4:36:56  time: 0.7382  data_time: 0.0018  memory: 15587  loss: 0.0491
2023/06/06 01:01:22 - mmengine - INFO - Epoch(train)  [1][ 300/2046]  lr: 3.9979e-04  eta: 4:27:45  time: 0.7866  data_time: 0.1939  memory: 15587  loss: 0.0337
2023/06/06 01:02:41 - mmengine - INFO - Epoch(train)  [1][ 400/2046]  lr: 3.9963e-04  eta: 4:25:58  time: 0.8206  data_time: 0.0015  memory: 15587  loss: 0.0264
2023/06/06 01:04:00 - mmengine - INFO - Epoch(train)  [1][ 500/2046]  lr: 3.9943e-04  eta: 4:24:12  time: 0.7349  data_time: 0.0017  memory: 15587  loss: 0.0323
2023/06/06 01:05:18 - mmengine - INFO - Epoch(train)  [1][ 600/2046]  lr: 3.9918e-04  eta: 4:22:16  time: 0.8030  data_time: 0.0016  memory: 15587  loss: 0.0361
2023/06/06 01:06:35 - mmengine - INFO - Epoch(train)  [1][ 700/2046]  lr: 3.9888e-04  eta: 4:19:53  time: 0.7368  data_time: 0.0016  memory: 15587  loss: 0.0309
2023/06/06 01:07:53 - mmengine - INFO - Epoch(train)  [1][ 800/2046]  lr: 3.9853e-04  eta: 4:18:11  time: 0.7841  data_time: 0.0016  memory: 15587  loss: 0.0283
2023/06/06 01:09:12 - mmengine - INFO - Epoch(train)  [1][ 900/2046]  lr: 3.9815e-04  eta: 4:16:49  time: 0.7561  data_time: 0.0017  memory: 15587  loss: 0.0323
2023/06/06 01:10:30 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643
2023/06/06 01:10:30 - mmengine - INFO - Epoch(train)  [1][1000/2046]  lr: 3.9771e-04  eta: 4:15:16  time: 0.7418  data_time: 0.0015  memory: 15587  loss: 0.0242
2023/06/06 01:11:47 - mmengine - INFO - Epoch(train)  [1][1100/2046]  lr: 3.9723e-04  eta: 4:13:33  time: 0.7945  data_time: 0.0016  memory: 15587  loss: 0.0282
2023/06/06 01:13:03 - mmengine - INFO - Epoch(train)  [1][1200/2046]  lr: 3.9670e-04  eta: 4:11:29  time: 0.7638  data_time: 0.0016  memory: 15587  loss: 0.0250
2023/06/06 01:14:19 - mmengine - INFO - Epoch(train)  [1][1300/2046]  lr: 3.9613e-04  eta: 4:09:32  time: 0.8598  data_time: 0.0024  memory: 15587  loss: 0.0172
2023/06/06 01:15:36 - mmengine - INFO - Epoch(train)  [1][1400/2046]  lr: 3.9552e-04  eta: 4:07:58  time: 0.7743  data_time: 0.0015  memory: 15587  loss: 0.0270
2023/06/06 01:16:52 - mmengine - INFO - Epoch(train)  [1][1500/2046]  lr: 3.9486e-04  eta: 4:06:23  time: 0.8124  data_time: 0.0017  memory: 15587  loss: 0.0190
2023/06/06 01:18:10 - mmengine - INFO - Epoch(train)  [1][1600/2046]  lr: 3.9415e-04  eta: 4:04:58  time: 0.7806  data_time: 0.0014  memory: 15587  loss: 0.0246
2023/06/06 01:19:24 - mmengine - INFO - Epoch(train)  [1][1700/2046]  lr: 3.9340e-04  eta: 4:03:02  time: 0.7742  data_time: 0.0014  memory: 15587  loss: 0.0195
2023/06/06 01:20:41 - mmengine - INFO - Epoch(train)  [1][1800/2046]  lr: 3.9261e-04  eta: 4:01:40  time: 0.7816  data_time: 0.0014  memory: 15587  loss: 0.0189
2023/06/06 01:21:57 - mmengine - INFO - Epoch(train)  [1][1900/2046]  lr: 3.9177e-04  eta: 4:00:02  time: 0.7651  data_time: 0.0014  memory: 15587  loss: 0.0173
2023/06/06 01:23:13 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643
2023/06/06 01:23:13 - mmengine - INFO - Epoch(train)  [1][2000/2046]  lr: 3.9089e-04  eta: 3:58:28  time: 0.7751  data_time: 0.0015  memory: 15587  loss: 0.0145
2023/06/06 01:23:45 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643
2023/06/06 01:23:45 - mmengine - INFO - Saving checkpoint at 1 epochs
2023/06/06 01:24:45 - mmengine - INFO - Epoch(val) [1][60/60]    accuracy/top1: 50.6926  single-label/precision_classwise: [99.60828399658203, 30.150636672973633]  single-label/recall_classwise: [37.45554733276367, 99.45736694335938]  single-label/f1-score_classwise: [54.44007873535156, 46.27342224121094]  data_time: 0.1255  time: 0.5631
2023/06/06 01:26:03 - mmengine - INFO - Epoch(train)  [2][ 100/2046]  lr: 3.8952e-04  eta: 3:56:09  time: 0.7574  data_time: 0.0352  memory: 15587  loss: 0.0203
2023/06/06 01:28:51 - mmengine - INFO - Epoch(train)  [2][ 200/2046]  lr: 3.8853e-04  eta: 4:07:02  time: 0.7844  data_time: 0.0185  memory: 15585  loss: 0.0246
2023/06/06 01:30:06 - mmengine - INFO - Epoch(train)  [2][ 300/2046]  lr: 3.8750e-04  eta: 4:04:49  time: 0.7823  data_time: 0.0015  memory: 15585  loss: 0.0142
2023/06/06 01:31:21 - mmengine - INFO - Epoch(train)  [2][ 400/2046]  lr: 3.8642e-04  eta: 4:02:48  time: 0.7561  data_time: 0.0019  memory: 15585  loss: 0.0222
2023/06/06 01:32:37 - mmengine - INFO - Epoch(train)  [2][ 500/2046]  lr: 3.8530e-04  eta: 4:00:53  time: 0.7986  data_time: 0.0015  memory: 15585  loss: 0.0148
2023/06/06 01:33:54 - mmengine - INFO - Epoch(train)  [2][ 600/2046]  lr: 3.8414e-04  eta: 3:59:06  time: 0.7966  data_time: 0.0015  memory: 15585  loss: 0.0155
2023/06/06 01:35:09 - mmengine - INFO - Epoch(train)  [2][ 700/2046]  lr: 3.8293e-04  eta: 3:57:08  time: 0.7410  data_time: 0.0014  memory: 15585  loss: 0.0125
2023/06/06 01:36:23 - mmengine - INFO - Epoch(train)  [2][ 800/2046]  lr: 3.8169e-04  eta: 3:55:07  time: 0.7098  data_time: 0.0016  memory: 15585  loss: 0.0159
2023/06/06 01:37:36 - mmengine - INFO - Epoch(train)  [2][ 900/2046]  lr: 3.8040e-04  eta: 3:53:10  time: 0.7683  data_time: 0.0015  memory: 15585  loss: 0.0207
2023/06/06 01:38:16 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643
2023/06/06 01:38:50 - mmengine - INFO - Epoch(train)  [2][1000/2046]  lr: 3.7907e-04  eta: 3:51:12  time: 0.7313  data_time: 0.0016  memory: 15585  loss: 0.0197
2023/06/06 01:40:06 - mmengine - INFO - Epoch(train)  [2][1100/2046]  lr: 3.7770e-04  eta: 3:49:36  time: 0.7730  data_time: 0.0016  memory: 15585  loss: 0.0212
2023/06/06 01:41:23 - mmengine - INFO - Epoch(train)  [2][1200/2046]  lr: 3.7629e-04  eta: 3:48:04  time: 0.7195  data_time: 0.0016  memory: 15585  loss: 0.0191
2023/06/06 01:42:39 - mmengine - INFO - Epoch(train)  [2][1300/2046]  lr: 3.7484e-04  eta: 3:46:24  time: 0.7650  data_time: 0.0015  memory: 15585  loss: 0.0165
2023/06/06 01:43:55 - mmengine - INFO - Epoch(train)  [2][1400/2046]  lr: 3.7335e-04  eta: 3:44:49  time: 0.7551  data_time: 0.0014  memory: 15585  loss: 0.0138
2023/06/06 01:45:11 - mmengine - INFO - Epoch(train)  [2][1500/2046]  lr: 3.7182e-04  eta: 3:43:14  time: 0.7818  data_time: 0.0018  memory: 15585  loss: 0.0191
2023/06/06 01:46:28 - mmengine - INFO - Epoch(train)  [2][1600/2046]  lr: 3.7025e-04  eta: 3:41:41  time: 0.8163  data_time: 0.0016  memory: 15585  loss: 0.0148
2023/06/06 01:47:49 - mmengine - INFO - Epoch(train)  [2][1700/2046]  lr: 3.6864e-04  eta: 3:40:31  time: 0.7613  data_time: 0.0015  memory: 15585  loss: 0.0122
2023/06/06 01:49:06 - mmengine - INFO - Epoch(train)  [2][1800/2046]  lr: 3.6699e-04  eta: 3:39:03  time: 0.7514  data_time: 0.0016  memory: 15585  loss: 0.0146
2023/06/06 01:50:18 - mmengine - INFO - Epoch(train)  [2][1900/2046]  lr: 3.6531e-04  eta: 3:37:13  time: 0.6864  data_time: 0.0016  memory: 15585  loss: 0.0081
2023/06/06 01:50:54 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643
2023/06/06 01:51:30 - mmengine - INFO - Epoch(train)  [2][2000/2046]  lr: 3.6358e-04  eta: 3:35:27  time: 0.7499  data_time: 0.0019  memory: 15585  loss: 0.0160
2023/06/06 01:52:04 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643
2023/06/06 01:52:04 - mmengine - INFO - Saving checkpoint at 2 epochs
2023/06/06 01:53:01 - mmengine - INFO - Epoch(val) [2][60/60]    accuracy/top1: 82.2932  single-label/precision_classwise: [99.82679748535156, 54.68876266479492]  single-label/recall_classwise: [77.62136840820312, 99.50387573242188]  single-label/f1-score_classwise: [87.334716796875, 70.58370208740234]  data_time: 0.1093  time: 0.5076
2023/06/06 01:54:19 - mmengine - INFO - Epoch(train)  [3][ 100/2046]  lr: 3.6100e-04  eta: 3:33:21  time: 0.7322  data_time: 0.0628  memory: 15585  loss: 0.0193
2023/06/06 01:55:35 - mmengine - INFO - Epoch(train)  [3][ 200/2046]  lr: 3.5918e-04  eta: 3:31:51  time: 0.7675  data_time: 0.0019  memory: 15585  loss: 0.0135
2023/06/06 01:56:48 - mmengine - INFO - Epoch(train)  [3][ 300/2046]  lr: 3.5733e-04  eta: 3:30:14  time: 0.7365  data_time: 0.0016  memory: 15585  loss: 0.0184
2023/06/06 01:58:04 - mmengine - INFO - Epoch(train)  [3][ 400/2046]  lr: 3.5544e-04  eta: 3:28:45  time: 0.7499  data_time: 0.0016  memory: 15585  loss: 0.0132
2023/06/06 01:59:20 - mmengine - INFO - Epoch(train)  [3][ 500/2046]  lr: 3.5352e-04  eta: 3:27:19  time: 0.7414  data_time: 0.0015  memory: 15585  loss: 0.0153
2023/06/06 02:00:36 - mmengine - INFO - Epoch(train)  [3][ 600/2046]  lr: 3.5156e-04  eta: 3:25:50  time: 0.7465  data_time: 0.0015  memory: 15585  loss: 0.0100
2023/06/06 02:01:50 - mmengine - INFO - Epoch(train)  [3][ 700/2046]  lr: 3.4957e-04  eta: 3:24:19  time: 0.7002  data_time: 0.0016  memory: 15585  loss: 0.0143
2023/06/06 02:03:06 - mmengine - INFO - Epoch(train)  [3][ 800/2046]  lr: 3.4755e-04  eta: 3:22:53  time: 0.7270  data_time: 0.0016  memory: 15585  loss: 0.0122
2023/06/06 02:04:23 - mmengine - INFO - Epoch(train)  [3][ 900/2046]  lr: 3.4549e-04  eta: 3:21:31  time: 0.7481  data_time: 0.0015  memory: 15585  loss: 0.0170
2023/06/06 02:04:29 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643
2023/06/06 02:05:39 - mmengine - INFO - Epoch(train)  [3][1000/2046]  lr: 3.4339e-04  eta: 3:20:07  time: 0.7832  data_time: 0.0015  memory: 15585  loss: 0.0125
2023/06/06 02:06:51 - mmengine - INFO - Epoch(train)  [3][1100/2046]  lr: 3.4127e-04  eta: 3:18:32  time: 0.7109  data_time: 0.0017  memory: 15585  loss: 0.0122
2023/06/06 02:08:04 - mmengine - INFO - Epoch(train)  [3][1200/2046]  lr: 3.3911e-04  eta: 3:16:58  time: 0.7497  data_time: 0.0018  memory: 15585  loss: 0.0105
2023/06/06 02:09:13 - mmengine - INFO - Epoch(train)  [3][1300/2046]  lr: 3.3692e-04  eta: 3:15:16  time: 0.7058  data_time: 0.0015  memory: 15585  loss: 0.0105
2023/06/06 02:10:22 - mmengine - INFO - Epoch(train)  [3][1400/2046]  lr: 3.3470e-04  eta: 3:13:34  time: 0.6669  data_time: 0.0015  memory: 15585  loss: 0.0115
2023/06/06 02:11:34 - mmengine - INFO - Epoch(train)  [3][1500/2046]  lr: 3.3245e-04  eta: 3:12:01  time: 0.7419  data_time: 0.0015  memory: 15585  loss: 0.0173
2023/06/06 02:12:45 - mmengine - INFO - Epoch(train)  [3][1600/2046]  lr: 3.3017e-04  eta: 3:10:28  time: 0.7054  data_time: 0.0017  memory: 15585  loss: 0.0083
2023/06/06 02:14:03 - mmengine - INFO - Epoch(train)  [3][1700/2046]  lr: 3.2786e-04  eta: 3:09:12  time: 0.8213  data_time: 0.0016  memory: 15585  loss: 0.0104
2023/06/06 02:15:13 - mmengine - INFO - Epoch(train)  [3][1800/2046]  lr: 3.2552e-04  eta: 3:07:36  time: 0.7036  data_time: 0.0015  memory: 15585  loss: 0.0135
2023/06/06 02:16:24 - mmengine - INFO - Epoch(train)  [3][1900/2046]  lr: 3.2315e-04  eta: 3:06:03  time: 0.7210  data_time: 0.0016  memory: 15585  loss: 0.0127
2023/06/06 02:16:30 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643
2023/06/06 02:17:36 - mmengine - INFO - Epoch(train)  [3][2000/2046]  lr: 3.2075e-04  eta: 3:04:33  time: 0.7016  data_time: 0.0015  memory: 15585  loss: 0.0097
2023/06/06 02:18:08 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643
2023/06/06 02:18:08 - mmengine - INFO - Saving checkpoint at 3 epochs
2023/06/06 02:19:06 - mmengine - INFO - Epoch(val) [3][60/60]    accuracy/top1: 86.2817  single-label/precision_classwise: [99.9312744140625, 60.908443450927734]  single-label/recall_classwise: [82.61473083496094, 99.79069519042969]  single-label/f1-score_classwise: [90.45166015625, 75.6456527709961]  data_time: 0.1113  time: 0.5069
2023/06/06 02:20:24 - mmengine - INFO - Epoch(train)  [4][ 100/2046]  lr: 3.1721e-04  eta: 3:02:36  time: 0.7208  data_time: 0.2000  memory: 15585  loss: 0.0105
2023/06/06 02:21:35 - mmengine - INFO - Epoch(train)  [4][ 200/2046]  lr: 3.1474e-04  eta: 3:01:05  time: 0.7366  data_time: 0.1850  memory: 15585  loss: 0.0112
2023/06/06 02:22:48 - mmengine - INFO - Epoch(train)  [4][ 300/2046]  lr: 3.1226e-04  eta: 2:59:40  time: 0.7972  data_time: 0.0301  memory: 15585  loss: 0.0111
2023/06/06 02:24:00 - mmengine - INFO - Epoch(train)  [4][ 400/2046]  lr: 3.0974e-04  eta: 2:58:14  time: 0.7285  data_time: 0.0015  memory: 15585  loss: 0.0200
2023/06/06 02:25:11 - mmengine - INFO - Epoch(train)  [4][ 500/2046]  lr: 3.0721e-04  eta: 2:56:44  time: 0.7132  data_time: 0.0016  memory: 15585  loss: 0.0110
2023/06/06 02:26:23 - mmengine - INFO - Epoch(train)  [4][ 600/2046]  lr: 3.0464e-04  eta: 2:55:18  time: 0.7079  data_time: 0.0017  memory: 15585  loss: 0.0242
2023/06/06 02:27:35 - mmengine - INFO - Epoch(train)  [4][ 700/2046]  lr: 3.0206e-04  eta: 2:53:52  time: 0.7495  data_time: 0.0020  memory: 15585  loss: 0.0082
2023/06/06 02:28:49 - mmengine - INFO - Epoch(train)  [4][ 800/2046]  lr: 2.9945e-04  eta: 2:52:29  time: 0.7136  data_time: 0.0015  memory: 15585  loss: 0.0105
2023/06/06 02:29:35 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643
2023/06/06 02:30:00 - mmengine - INFO - Epoch(train)  [4][ 900/2046]  lr: 2.9682e-04  eta: 2:51:04  time: 0.7208  data_time: 0.0016  memory: 15585  loss: 0.0111
2023/06/06 02:31:13 - mmengine - INFO - Epoch(train)  [4][1000/2046]  lr: 2.9417e-04  eta: 2:49:40  time: 0.7220  data_time: 0.0015  memory: 15585  loss: 0.0153
2023/06/06 02:32:27 - mmengine - INFO - Epoch(train)  [4][1100/2046]  lr: 2.9149e-04  eta: 2:48:20  time: 0.7023  data_time: 0.0016  memory: 15585  loss: 0.0111
2023/06/06 02:33:43 - mmengine - INFO - Epoch(train)  [4][1200/2046]  lr: 2.8880e-04  eta: 2:47:03  time: 0.7223  data_time: 0.0017  memory: 15585  loss: 0.0069
2023/06/06 02:35:03 - mmengine - INFO - Epoch(train)  [4][1300/2046]  lr: 2.8609e-04  eta: 2:45:53  time: 0.7889  data_time: 0.0019  memory: 15585  loss: 0.0085
2023/06/06 02:36:19 - mmengine - INFO - Epoch(train)  [4][1400/2046]  lr: 2.8336e-04  eta: 2:44:35  time: 0.9031  data_time: 0.0016  memory: 15585  loss: 0.0123
2023/06/06 02:37:38 - mmengine - INFO - Epoch(train)  [4][1500/2046]  lr: 2.8060e-04  eta: 2:43:22  time: 0.7258  data_time: 0.0015  memory: 15585  loss: 0.0113
2023/06/06 02:38:50 - mmengine - INFO - Epoch(train)  [4][1600/2046]  lr: 2.7784e-04  eta: 2:41:59  time: 0.7605  data_time: 0.0019  memory: 15585  loss: 0.0109
2023/06/06 02:40:01 - mmengine - INFO - Epoch(train)  [4][1700/2046]  lr: 2.7505e-04  eta: 2:40:34  time: 0.6591  data_time: 0.0018  memory: 15585  loss: 0.0160
2023/06/06 02:41:16 - mmengine - INFO - Epoch(train)  [4][1800/2046]  lr: 2.7225e-04  eta: 2:39:15  time: 0.7746  data_time: 0.0017  memory: 15585  loss: 0.0174
2023/06/06 02:42:02 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643
2023/06/06 02:42:30 - mmengine - INFO - Epoch(train)  [4][1900/2046]  lr: 2.6943e-04  eta: 2:37:56  time: 0.7723  data_time: 0.0016  memory: 15585  loss: 0.0188
2023/06/06 02:43:43 - mmengine - INFO - Epoch(train)  [4][2000/2046]  lr: 2.6660e-04  eta: 2:36:34  time: 0.7511  data_time: 0.0016  memory: 15585  loss: 0.0119
2023/06/06 02:44:15 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643
2023/06/06 02:44:15 - mmengine - INFO - Saving checkpoint at 4 epochs
2023/06/06 02:45:15 - mmengine - INFO - Epoch(val) [4][60/60]    accuracy/top1: 85.9673  single-label/precision_classwise: [99.93093872070312, 60.36576461791992]  single-label/recall_classwise: [82.21492767333984, 99.79069519042969]  single-label/f1-score_classwise: [90.21137237548828, 75.2257080078125]  data_time: 0.1060  time: 0.5014
2023/06/06 02:46:35 - mmengine - INFO - Epoch(train)  [5][ 100/2046]  lr: 2.6243e-04  eta: 2:34:45  time: 0.7169  data_time: 0.1993  memory: 15585  loss: 0.0108
2023/06/06 02:47:47 - mmengine - INFO - Epoch(train)  [5][ 200/2046]  lr: 2.5956e-04  eta: 2:33:23  time: 0.6787  data_time: 0.1657  memory: 15585  loss: 0.0131
2023/06/06 02:49:00 - mmengine - INFO - Epoch(train)  [5][ 300/2046]  lr: 2.5668e-04  eta: 2:32:01  time: 0.7334  data_time: 0.2105  memory: 15585  loss: 0.0080
2023/06/06 02:50:12 - mmengine - INFO - Epoch(train)  [5][ 400/2046]  lr: 2.5379e-04  eta: 2:30:40  time: 0.7105  data_time: 0.1912  memory: 15585  loss: 0.0067
2023/06/06 02:51:24 - mmengine - INFO - Epoch(train)  [5][ 500/2046]  lr: 2.5089e-04  eta: 2:29:18  time: 0.7173  data_time: 0.1859  memory: 15585  loss: 0.0128
2023/06/06 02:52:36 - mmengine - INFO - Epoch(train)  [5][ 600/2046]  lr: 2.4797e-04  eta: 2:27:56  time: 0.7288  data_time: 0.2084  memory: 15585  loss: 0.0167
2023/06/06 02:53:48 - mmengine - INFO - Epoch(train)  [5][ 700/2046]  lr: 2.4504e-04  eta: 2:26:34  time: 0.7263  data_time: 0.2089  memory: 15585  loss: 0.0111
2023/06/06 02:55:01 - mmengine - INFO - Epoch(train)  [5][ 800/2046]  lr: 2.4211e-04  eta: 2:25:16  time: 0.6963  data_time: 0.0016  memory: 15585  loss: 0.0126
2023/06/06 02:55:15 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643
2023/06/06 02:56:14 - mmengine - INFO - Epoch(train)  [5][ 900/2046]  lr: 2.3917e-04  eta: 2:23:55  time: 0.7081  data_time: 0.0676  memory: 15585  loss: 0.0116
2023/06/06 02:57:26 - mmengine - INFO - Epoch(train)  [5][1000/2046]  lr: 2.3621e-04  eta: 2:22:35  time: 0.7398  data_time: 0.1405  memory: 15585  loss: 0.0085
2023/06/06 02:58:44 - mmengine - INFO - Epoch(train)  [5][1100/2046]  lr: 2.3326e-04  eta: 2:21:21  time: 0.7699  data_time: 0.1513  memory: 15585  loss: 0.0118
2023/06/06 02:59:56 - mmengine - INFO - Epoch(train)  [5][1200/2046]  lr: 2.3029e-04  eta: 2:20:01  time: 0.7450  data_time: 0.2086  memory: 15585  loss: 0.0078
2023/06/06 03:01:10 - mmengine - INFO - Epoch(train)  [5][1300/2046]  lr: 2.2732e-04  eta: 2:18:43  time: 0.7762  data_time: 0.0874  memory: 15585  loss: 0.0093
2023/06/06 03:02:18 - mmengine - INFO - Epoch(train)  [5][1400/2046]  lr: 2.2434e-04  eta: 2:17:18  time: 0.6896  data_time: 0.0015  memory: 15585  loss: 0.0123
2023/06/06 03:03:30 - mmengine - INFO - Epoch(train)  [5][1500/2046]  lr: 2.2136e-04  eta: 2:15:58  time: 0.7268  data_time: 0.0016  memory: 15585  loss: 0.0073
2023/06/06 03:04:44 - mmengine - INFO - Epoch(train)  [5][1600/2046]  lr: 2.1837e-04  eta: 2:14:41  time: 0.7389  data_time: 0.0015  memory: 15585  loss: 0.0089
2023/06/06 03:06:00 - mmengine - INFO - Epoch(train)  [5][1700/2046]  lr: 2.1538e-04  eta: 2:13:26  time: 0.7554  data_time: 0.0017  memory: 15585  loss: 0.0123
2023/06/06 03:07:17 - mmengine - INFO - Epoch(train)  [5][1800/2046]  lr: 2.1239e-04  eta: 2:12:11  time: 0.7416  data_time: 0.0016  memory: 15585  loss: 0.0074
2023/06/06 03:07:28 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643
2023/06/06 03:08:34 - mmengine - INFO - Epoch(train)  [5][1900/2046]  lr: 2.0940e-04  eta: 2:10:57  time: 0.7387  data_time: 0.0016  memory: 15585  loss: 0.0103
2023/06/06 03:09:50 - mmengine - INFO - Epoch(train)  [5][2000/2046]  lr: 2.0641e-04  eta: 2:09:41  time: 0.8017  data_time: 0.0016  memory: 15585  loss: 0.0129
2023/06/06 03:10:24 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643
2023/06/06 03:10:24 - mmengine - INFO - Saving checkpoint at 5 epochs
2023/06/06 03:11:21 - mmengine - INFO - Epoch(val) [5][60/60]    accuracy/top1: 85.7604  single-label/precision_classwise: [99.95892333984375, 60.003726959228516]  single-label/recall_classwise: [81.92874908447266, 99.87596893310547]  single-label/f1-score_classwise: [90.0501937866211, 74.9679946899414]  data_time: 0.1039  time: 0.5004
2023/06/06 03:12:41 - mmengine - INFO - Epoch(train)  [6][ 100/2046]  lr: 2.0204e-04  eta: 2:07:53  time: 0.6941  data_time: 0.0337  memory: 15585  loss: 0.0068
2023/06/06 03:14:00 - mmengine - INFO - Epoch(train)  [6][ 200/2046]  lr: 1.9904e-04  eta: 2:06:41  time: 0.7269  data_time: 0.0016  memory: 15585  loss: 0.0091
2023/06/06 03:15:16 - mmengine - INFO - Epoch(train)  [6][ 300/2046]  lr: 1.9605e-04  eta: 2:05:25  time: 0.7452  data_time: 0.0015  memory: 15585  loss: 0.0099
2023/06/06 03:16:32 - mmengine - INFO - Epoch(train)  [6][ 400/2046]  lr: 1.9306e-04  eta: 2:04:10  time: 0.7591  data_time: 0.0015  memory: 15585  loss: 0.0139
2023/06/06 03:17:49 - mmengine - INFO - Epoch(train)  [6][ 500/2046]  lr: 1.9007e-04  eta: 2:02:55  time: 0.7070  data_time: 0.0016  memory: 15585  loss: 0.0069
2023/06/06 03:19:04 - mmengine - INFO - Epoch(train)  [6][ 600/2046]  lr: 1.8709e-04  eta: 2:01:39  time: 0.7734  data_time: 0.0017  memory: 15585  loss: 0.0077
2023/06/06 03:20:20 - mmengine - INFO - Epoch(train)  [6][ 700/2046]  lr: 1.8411e-04  eta: 2:00:23  time: 0.7779  data_time: 0.0015  memory: 15585  loss: 0.0125
2023/06/06 03:21:15 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643
2023/06/06 03:21:37 - mmengine - INFO - Epoch(train)  [6][ 800/2046]  lr: 1.8114e-04  eta: 1:59:09  time: 0.7920  data_time: 0.0018  memory: 15585  loss: 0.0078
2023/06/06 03:22:56 - mmengine - INFO - Epoch(train)  [6][ 900/2046]  lr: 1.7817e-04  eta: 1:57:55  time: 0.7732  data_time: 0.0016  memory: 15585  loss: 0.0096
2023/06/06 03:24:20 - mmengine - INFO - Epoch(train)  [6][1000/2046]  lr: 1.7521e-04  eta: 1:56:46  time: 0.7342  data_time: 0.0016  memory: 15585  loss: 0.0062
2023/06/06 03:25:39 - mmengine - INFO - Epoch(train)  [6][1100/2046]  lr: 1.7225e-04  eta: 1:55:32  time: 0.8174  data_time: 0.0018  memory: 15585  loss: 0.0094
2023/06/06 03:26:56 - mmengine - INFO - Epoch(train)  [6][1200/2046]  lr: 1.6930e-04  eta: 1:54:18  time: 0.7791  data_time: 0.0018  memory: 15585  loss: 0.0091
2023/06/06 03:28:14 - mmengine - INFO - Epoch(train)  [6][1300/2046]  lr: 1.6636e-04  eta: 1:53:03  time: 0.8271  data_time: 0.0015  memory: 15585  loss: 0.0123
2023/06/06 03:29:33 - mmengine - INFO - Epoch(train)  [6][1400/2046]  lr: 1.6343e-04  eta: 1:51:49  time: 0.6922  data_time: 0.0015  memory: 15585  loss: 0.0087
2023/06/06 03:30:46 - mmengine - INFO - Epoch(train)  [6][1500/2046]  lr: 1.6051e-04  eta: 1:50:31  time: 0.7868  data_time: 0.0015  memory: 15585  loss: 0.0038
2023/06/06 03:32:00 - mmengine - INFO - Epoch(train)  [6][1600/2046]  lr: 1.5760e-04  eta: 1:49:14  time: 0.7386  data_time: 0.0016  memory: 15585  loss: 0.0109
2023/06/06 03:33:14 - mmengine - INFO - Epoch(train)  [6][1700/2046]  lr: 1.5470e-04  eta: 1:47:57  time: 0.7590  data_time: 0.0016  memory: 15585  loss: 0.0093
2023/06/06 03:34:07 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643
2023/06/06 03:34:29 - mmengine - INFO - Epoch(train)  [6][1800/2046]  lr: 1.5182e-04  eta: 1:46:40  time: 0.6745  data_time: 0.0016  memory: 15585  loss: 0.0080
2023/06/06 03:35:43 - mmengine - INFO - Epoch(train)  [6][1900/2046]  lr: 1.4894e-04  eta: 1:45:23  time: 0.7071  data_time: 0.0015  memory: 15585  loss: 0.0120
2023/06/06 03:36:55 - mmengine - INFO - Epoch(train)  [6][2000/2046]  lr: 1.4608e-04  eta: 1:44:04  time: 0.6970  data_time: 0.0016  memory: 15585  loss: 0.0037
2023/06/06 03:37:28 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643
2023/06/06 03:37:28 - mmengine - INFO - Saving checkpoint at 6 epochs
2023/06/06 03:38:26 - mmengine - INFO - Epoch(val) [6][60/60]    accuracy/top1: 85.7836  single-label/precision_classwise: [99.95637512207031, 60.0438117980957]  single-label/recall_classwise: [81.96031188964844, 99.86821746826172]  single-label/f1-score_classwise: [90.06822204589844, 74.99708557128906]  data_time: 0.1129  time: 0.5116
2023/06/06 03:39:50 - mmengine - INFO - Epoch(train)  [7][ 100/2046]  lr: 1.4193e-04  eta: 1:42:17  time: 0.7381  data_time: 0.0916  memory: 15585  loss: 0.0052
2023/06/06 03:41:03 - mmengine - INFO - Epoch(train)  [7][ 200/2046]  lr: 1.3910e-04  eta: 1:41:00  time: 0.7429  data_time: 0.2282  memory: 15585  loss: 0.0080
2023/06/06 03:42:20 - mmengine - INFO - Epoch(train)  [7][ 300/2046]  lr: 1.3629e-04  eta: 1:39:45  time: 0.8034  data_time: 0.0015  memory: 15585  loss: 0.0072
2023/06/06 03:43:37 - mmengine - INFO - Epoch(train)  [7][ 400/2046]  lr: 1.3350e-04  eta: 1:38:29  time: 0.7963  data_time: 0.0016  memory: 15585  loss: 0.0103
2023/06/06 03:44:52 - mmengine - INFO - Epoch(train)  [7][ 500/2046]  lr: 1.3072e-04  eta: 1:37:13  time: 0.7438  data_time: 0.0017  memory: 15585  loss: 0.0059
2023/06/06 03:46:05 - mmengine - INFO - Epoch(train)  [7][ 600/2046]  lr: 1.2796e-04  eta: 1:35:55  time: 0.7304  data_time: 0.0015  memory: 15585  loss: 0.0080
2023/06/06 03:47:20 - mmengine - INFO - Epoch(train)  [7][ 700/2046]  lr: 1.2522e-04  eta: 1:34:39  time: 0.7707  data_time: 0.0017  memory: 15585  loss: 0.0085
2023/06/06 03:47:38 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643
2023/06/06 03:48:36 - mmengine - INFO - Epoch(train)  [7][ 800/2046]  lr: 1.2250e-04  eta: 1:33:23  time: 0.7316  data_time: 0.0015  memory: 15585  loss: 0.0044
2023/06/06 03:49:56 - mmengine - INFO - Epoch(train)  [7][ 900/2046]  lr: 1.1980e-04  eta: 1:32:09  time: 0.7846  data_time: 0.0015  memory: 15585  loss: 0.0054
2023/06/06 03:51:09 - mmengine - INFO - Epoch(train)  [7][1000/2046]  lr: 1.1711e-04  eta: 1:30:52  time: 0.7386  data_time: 0.0015  memory: 15585  loss: 0.0100
2023/06/06 03:52:24 - mmengine - INFO - Epoch(train)  [7][1100/2046]  lr: 1.1445e-04  eta: 1:29:36  time: 0.7163  data_time: 0.0016  memory: 15585  loss: 0.0089
2023/06/06 03:53:39 - mmengine - INFO - Epoch(train)  [7][1200/2046]  lr: 1.1181e-04  eta: 1:28:19  time: 0.7818  data_time: 0.0016  memory: 15585  loss: 0.0036
2023/06/06 03:54:52 - mmengine - INFO - Epoch(train)  [7][1300/2046]  lr: 1.0919e-04  eta: 1:27:02  time: 0.6835  data_time: 0.0016  memory: 15585  loss: 0.0053
2023/06/06 03:56:06 - mmengine - INFO - Epoch(train)  [7][1400/2046]  lr: 1.0659e-04  eta: 1:25:45  time: 0.7692  data_time: 0.0018  memory: 15585  loss: 0.0058
2023/06/06 03:57:24 - mmengine - INFO - Epoch(train)  [7][1500/2046]  lr: 1.0402e-04  eta: 1:24:30  time: 0.7656  data_time: 0.0017  memory: 15585  loss: 0.0096
2023/06/06 03:58:38 - mmengine - INFO - Epoch(train)  [7][1600/2046]  lr: 1.0147e-04  eta: 1:23:13  time: 0.7026  data_time: 0.0016  memory: 15585  loss: 0.0060
2023/06/06 03:59:51 - mmengine - INFO - Epoch(train)  [7][1700/2046]  lr: 9.8946e-05  eta: 1:21:56  time: 0.6843  data_time: 0.0017  memory: 15585  loss: 0.0073
2023/06/06 04:00:08 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643
2023/06/06 04:01:04 - mmengine - INFO - Epoch(train)  [7][1800/2046]  lr: 9.6446e-05  eta: 1:20:39  time: 0.7048  data_time: 0.0017  memory: 15585  loss: 0.0078
2023/06/06 04:02:15 - mmengine - INFO - Epoch(train)  [7][1900/2046]  lr: 9.3972e-05  eta: 1:19:21  time: 0.7080  data_time: 0.0015  memory: 15585  loss: 0.0089
2023/06/06 04:03:28 - mmengine - INFO - Epoch(train)  [7][2000/2046]  lr: 9.1523e-05  eta: 1:18:04  time: 0.7416  data_time: 0.0017  memory: 15585  loss: 0.0046
2023/06/06 04:03:59 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643
2023/06/06 04:03:59 - mmengine - INFO - Saving checkpoint at 7 epochs
2023/06/06 04:04:57 - mmengine - INFO - Epoch(val) [7][60/60]    accuracy/top1: 86.3115  single-label/precision_classwise: [99.93638610839844, 60.958290100097656]  single-label/recall_classwise: [82.64839935302734, 99.80619812011719]  single-label/f1-score_classwise: [90.47393798828125, 75.68854522705078]  data_time: 0.1092  time: 0.5069
2023/06/06 04:06:15 - mmengine - INFO - Epoch(train)  [8][ 100/2046]  lr: 8.7997e-05  eta: 1:16:13  time: 0.7495  data_time: 0.1354  memory: 15585  loss: 0.0069
2023/06/06 04:07:28 - mmengine - INFO - Epoch(train)  [8][ 200/2046]  lr: 8.5616e-05  eta: 1:14:56  time: 0.7030  data_time: 0.0343  memory: 15585  loss: 0.0072
2023/06/06 04:08:42 - mmengine - INFO - Epoch(train)  [8][ 300/2046]  lr: 8.3262e-05  eta: 1:13:40  time: 0.7513  data_time: 0.0018  memory: 15585  loss: 0.0047
2023/06/06 04:09:57 - mmengine - INFO - Epoch(train)  [8][ 400/2046]  lr: 8.0938e-05  eta: 1:12:24  time: 0.6823  data_time: 0.0016  memory: 15585  loss: 0.0036
2023/06/06 04:11:11 - mmengine - INFO - Epoch(train)  [8][ 500/2046]  lr: 7.8642e-05  eta: 1:11:07  time: 0.7327  data_time: 0.0015  memory: 15585  loss: 0.0043
2023/06/06 04:12:24 - mmengine - INFO - Epoch(train)  [8][ 600/2046]  lr: 7.6377e-05  eta: 1:09:51  time: 0.7514  data_time: 0.0018  memory: 15585  loss: 0.0091
2023/06/06 04:13:21 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643
2023/06/06 04:13:39 - mmengine - INFO - Epoch(train)  [8][ 700/2046]  lr: 7.4142e-05  eta: 1:08:35  time: 0.9306  data_time: 0.0014  memory: 15585  loss: 0.0046
2023/06/06 04:14:59 - mmengine - INFO - Epoch(train)  [8][ 800/2046]  lr: 7.1937e-05  eta: 1:07:21  time: 0.7215  data_time: 0.0017  memory: 15585  loss: 0.0048
2023/06/06 04:16:13 - mmengine - INFO - Epoch(train)  [8][ 900/2046]  lr: 6.9764e-05  eta: 1:06:04  time: 0.7434  data_time: 0.0018  memory: 15585  loss: 0.0061
2023/06/06 04:17:25 - mmengine - INFO - Epoch(train)  [8][1000/2046]  lr: 6.7623e-05  eta: 1:04:48  time: 0.7571  data_time: 0.0017  memory: 15585  loss: 0.0095
2023/06/06 04:18:40 - mmengine - INFO - Epoch(train)  [8][1100/2046]  lr: 6.5515e-05  eta: 1:03:32  time: 0.7015  data_time: 0.0016  memory: 15585  loss: 0.0069
2023/06/06 04:19:53 - mmengine - INFO - Epoch(train)  [8][1200/2046]  lr: 6.3439e-05  eta: 1:02:15  time: 0.7101  data_time: 0.0016  memory: 15585  loss: 0.0062
2023/06/06 04:21:06 - mmengine - INFO - Epoch(train)  [8][1300/2046]  lr: 6.1396e-05  eta: 1:00:59  time: 0.7369  data_time: 0.0015  memory: 15585  loss: 0.0051
2023/06/06 04:22:21 - mmengine - INFO - Epoch(train)  [8][1400/2046]  lr: 5.9388e-05  eta: 0:59:43  time: 0.7467  data_time: 0.0021  memory: 15585  loss: 0.0039
2023/06/06 04:23:36 - mmengine - INFO - Epoch(train)  [8][1500/2046]  lr: 5.7413e-05  eta: 0:58:27  time: 0.7236  data_time: 0.0018  memory: 15585  loss: 0.0059
2023/06/06 04:24:51 - mmengine - INFO - Epoch(train)  [8][1600/2046]  lr: 5.5474e-05  eta: 0:57:11  time: 0.6820  data_time: 0.0018  memory: 15585  loss: 0.0043
2023/06/06 04:25:51 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643
2023/06/06 04:26:07 - mmengine - INFO - Epoch(train)  [8][1700/2046]  lr: 5.3570e-05  eta: 0:55:56  time: 0.7614  data_time: 0.0016  memory: 15585  loss: 0.0069
2023/06/06 04:27:26 - mmengine - INFO - Epoch(train)  [8][1800/2046]  lr: 5.1701e-05  eta: 0:54:41  time: 0.8009  data_time: 0.0016  memory: 15585  loss: 0.0071
2023/06/06 04:28:42 - mmengine - INFO - Epoch(train)  [8][1900/2046]  lr: 4.9869e-05  eta: 0:53:25  time: 0.7648  data_time: 0.0016  memory: 15585  loss: 0.0051
2023/06/06 04:30:00 - mmengine - INFO - Epoch(train)  [8][2000/2046]  lr: 4.8073e-05  eta: 0:52:10  time: 0.7756  data_time: 0.0017  memory: 15585  loss: 0.0070
2023/06/06 04:30:33 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643
2023/06/06 04:30:33 - mmengine - INFO - Saving checkpoint at 8 epochs
2023/06/06 04:31:31 - mmengine - INFO - Epoch(val) [8][60/60]    accuracy/top1: 86.8858  single-label/precision_classwise: [99.95963287353516, 61.96614074707031]  single-label/recall_classwise: [83.35963439941406, 99.87596893310547]  single-label/f1-score_classwise: [90.90805053710938, 76.48106384277344]  data_time: 0.1137  time: 0.5121
2023/06/06 04:32:49 - mmengine - INFO - Epoch(train)  [9][ 100/2046]  lr: 4.5518e-05  eta: 0:50:20  time: 0.7079  data_time: 0.1924  memory: 15585  loss: 0.0042
2023/06/06 04:34:07 - mmengine - INFO - Epoch(train)  [9][ 200/2046]  lr: 4.3814e-05  eta: 0:49:05  time: 0.8093  data_time: 0.0017  memory: 15585  loss: 0.0065
2023/06/06 04:35:25 - mmengine - INFO - Epoch(train)  [9][ 300/2046]  lr: 4.2148e-05  eta: 0:47:50  time: 0.7897  data_time: 0.0015  memory: 15585  loss: 0.0056
2023/06/06 04:36:54 - mmengine - INFO - Epoch(train)  [9][ 400/2046]  lr: 4.0520e-05  eta: 0:46:37  time: 0.7985  data_time: 0.0015  memory: 15585  loss: 0.0033
2023/06/06 04:38:10 - mmengine - INFO - Epoch(train)  [9][ 500/2046]  lr: 3.8931e-05  eta: 0:45:21  time: 0.7752  data_time: 0.0016  memory: 15585  loss: 0.0058
2023/06/06 04:39:27 - mmengine - INFO - Epoch(train)  [9][ 600/2046]  lr: 3.7381e-05  eta: 0:44:06  time: 0.7823  data_time: 0.0017  memory: 15585  loss: 0.0076
2023/06/06 04:39:51 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643
2023/06/06 04:40:43 - mmengine - INFO - Epoch(train)  [9][ 700/2046]  lr: 3.5871e-05  eta: 0:42:50  time: 0.7845  data_time: 0.0017  memory: 15585  loss: 0.0065
2023/06/06 04:41:59 - mmengine - INFO - Epoch(train)  [9][ 800/2046]  lr: 3.4401e-05  eta: 0:41:34  time: 0.7427  data_time: 0.0015  memory: 15585  loss: 0.0056
2023/06/06 04:43:15 - mmengine - INFO - Epoch(train)  [9][ 900/2046]  lr: 3.2971e-05  eta: 0:40:19  time: 0.7652  data_time: 0.0015  memory: 15585  loss: 0.0051
2023/06/06 04:44:32 - mmengine - INFO - Epoch(train)  [9][1000/2046]  lr: 3.1581e-05  eta: 0:39:03  time: 0.7513  data_time: 0.0016  memory: 15585  loss: 0.0048
2023/06/06 04:45:48 - mmengine - INFO - Epoch(train)  [9][1100/2046]  lr: 3.0232e-05  eta: 0:37:47  time: 0.7822  data_time: 0.0015  memory: 15585  loss: 0.0049
2023/06/06 04:47:05 - mmengine - INFO - Epoch(train)  [9][1200/2046]  lr: 2.8925e-05  eta: 0:36:32  time: 0.7657  data_time: 0.0015  memory: 15585  loss: 0.0055
2023/06/06 04:48:24 - mmengine - INFO - Epoch(train)  [9][1300/2046]  lr: 2.7659e-05  eta: 0:35:16  time: 0.7962  data_time: 0.0016  memory: 15585  loss: 0.0071
2023/06/06 04:49:40 - mmengine - INFO - Epoch(train)  [9][1400/2046]  lr: 2.6435e-05  eta: 0:34:00  time: 0.7714  data_time: 0.0016  memory: 15585  loss: 0.0060
2023/06/06 04:50:55 - mmengine - INFO - Epoch(train)  [9][1500/2046]  lr: 2.5253e-05  eta: 0:32:45  time: 0.7584  data_time: 0.0017  memory: 15585  loss: 0.0090
2023/06/06 04:52:11 - mmengine - INFO - Epoch(train)  [9][1600/2046]  lr: 2.4113e-05  eta: 0:31:29  time: 0.7131  data_time: 0.0017  memory: 15585  loss: 0.0073
2023/06/06 04:52:34 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643
2023/06/06 04:53:27 - mmengine - INFO - Epoch(train)  [9][1700/2046]  lr: 2.3016e-05  eta: 0:30:13  time: 0.7824  data_time: 0.0016  memory: 15585  loss: 0.0069
2023/06/06 04:54:49 - mmengine - INFO - Epoch(train)  [9][1800/2046]  lr: 2.1962e-05  eta: 0:28:58  time: 0.7645  data_time: 0.0016  memory: 15585  loss: 0.0031
2023/06/06 04:56:05 - mmengine - INFO - Epoch(train)  [9][1900/2046]  lr: 2.0951e-05  eta: 0:27:42  time: 0.7386  data_time: 0.0015  memory: 15585  loss: 0.0032
2023/06/06 04:57:21 - mmengine - INFO - Epoch(train)  [9][2000/2046]  lr: 1.9984e-05  eta: 0:26:26  time: 0.7436  data_time: 0.0016  memory: 15585  loss: 0.0059
2023/06/06 04:57:54 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643
2023/06/06 04:57:54 - mmengine - INFO - Saving checkpoint at 9 epochs
2023/06/06 04:58:52 - mmengine - INFO - Epoch(val) [9][60/60]    accuracy/top1: 87.1456  single-label/precision_classwise: [99.94973754882812, 62.44242858886719]  single-label/recall_classwise: [83.69842529296875, 99.84496307373047]  single-label/f1-score_classwise: [91.10503387451172, 76.83360290527344]  data_time: 0.1032  time: 0.5024
2023/06/06 05:00:10 - mmengine - INFO - Epoch(train) [10][ 100/2046]  lr: 1.8649e-05  eta: 0:24:36  time: 0.7176  data_time: 0.0015  memory: 15585  loss: 0.0068
2023/06/06 05:01:23 - mmengine - INFO - Epoch(train) [10][ 200/2046]  lr: 1.7790e-05  eta: 0:23:20  time: 0.7045  data_time: 0.0017  memory: 15585  loss: 0.0076
2023/06/06 05:02:43 - mmengine - INFO - Epoch(train) [10][ 300/2046]  lr: 1.6974e-05  eta: 0:22:04  time: 0.7591  data_time: 0.0016  memory: 15585  loss: 0.0031
2023/06/06 05:03:59 - mmengine - INFO - Epoch(train) [10][ 400/2046]  lr: 1.6202e-05  eta: 0:20:48  time: 0.7902  data_time: 0.0016  memory: 15585  loss: 0.0018
2023/06/06 05:05:15 - mmengine - INFO - Epoch(train) [10][ 500/2046]  lr: 1.5476e-05  eta: 0:19:32  time: 0.7735  data_time: 0.0018  memory: 15585  loss: 0.0035
2023/06/06 05:06:19 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643
2023/06/06 05:06:31 - mmengine - INFO - Epoch(train) [10][ 600/2046]  lr: 1.4793e-05  eta: 0:18:17  time: 0.7880  data_time: 0.0015  memory: 15585  loss: 0.0075
2023/06/06 05:07:47 - mmengine - INFO - Epoch(train) [10][ 700/2046]  lr: 1.4156e-05  eta: 0:17:01  time: 0.7852  data_time: 0.0016  memory: 15585  loss: 0.0054
2023/06/06 05:09:04 - mmengine - INFO - Epoch(train) [10][ 800/2046]  lr: 1.3564e-05  eta: 0:15:45  time: 0.7876  data_time: 0.0016  memory: 15585  loss: 0.0046
2023/06/06 05:10:21 - mmengine - INFO - Epoch(train) [10][ 900/2046]  lr: 1.3016e-05  eta: 0:14:29  time: 0.8062  data_time: 0.0018  memory: 15585  loss: 0.0086
2023/06/06 05:11:35 - mmengine - INFO - Epoch(train) [10][1000/2046]  lr: 1.2514e-05  eta: 0:13:13  time: 0.8434  data_time: 0.0019  memory: 15585  loss: 0.0064
2023/06/06 05:12:49 - mmengine - INFO - Epoch(train) [10][1100/2046]  lr: 1.2058e-05  eta: 0:11:57  time: 0.7644  data_time: 0.0015  memory: 15585  loss: 0.0061
2023/06/06 05:14:07 - mmengine - INFO - Epoch(train) [10][1200/2046]  lr: 1.1647e-05  eta: 0:10:41  time: 0.8092  data_time: 0.0016  memory: 15585  loss: 0.0047
2023/06/06 05:15:23 - mmengine - INFO - Epoch(train) [10][1300/2046]  lr: 1.1281e-05  eta: 0:09:25  time: 0.7980  data_time: 0.0017  memory: 15585  loss: 0.0061
2023/06/06 05:16:39 - mmengine - INFO - Epoch(train) [10][1400/2046]  lr: 1.0961e-05  eta: 0:08:10  time: 0.7399  data_time: 0.0018  memory: 15585  loss: 0.0083
2023/06/06 05:17:57 - mmengine - INFO - Epoch(train) [10][1500/2046]  lr: 1.0687e-05  eta: 0:06:54  time: 0.7104  data_time: 0.0015  memory: 15585  loss: 0.0065
2023/06/06 05:19:07 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643
2023/06/06 05:19:20 - mmengine - INFO - Epoch(train) [10][1600/2046]  lr: 1.0459e-05  eta: 0:05:38  time: 0.8109  data_time: 0.0017  memory: 15585  loss: 0.0043
2023/06/06 05:20:44 - mmengine - INFO - Epoch(train) [10][1700/2046]  lr: 1.0277e-05  eta: 0:04:22  time: 0.7935  data_time: 0.0015  memory: 15585  loss: 0.0023
2023/06/06 05:22:02 - mmengine - INFO - Epoch(train) [10][1800/2046]  lr: 1.0140e-05  eta: 0:03:06  time: 0.7602  data_time: 0.0016  memory: 15585  loss: 0.0034
2023/06/06 05:23:19 - mmengine - INFO - Epoch(train) [10][1900/2046]  lr: 1.0050e-05  eta: 0:01:50  time: 0.7593  data_time: 0.0016  memory: 15585  loss: 0.0048
2023/06/06 05:24:43 - mmengine - INFO - Epoch(train) [10][2000/2046]  lr: 1.0005e-05  eta: 0:00:34  time: 0.7175  data_time: 0.0017  memory: 15585  loss: 0.0061
2023/06/06 05:25:20 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643
2023/06/06 05:25:20 - mmengine - INFO - Saving checkpoint at 10 epochs
2023/06/06 05:26:18 - mmengine - INFO - Epoch(val) [10][60/60]    accuracy/top1: 87.4832  single-label/precision_classwise: [99.93502044677734, 63.07383346557617]  single-label/recall_classwise: [84.14031219482422, 99.79844665527344]  single-label/f1-score_classwise: [91.36002349853516, 77.29578399658203]  data_time: 0.1258  time: 0.5219