2023/07/29 00:40:43 - mmengine - INFO - ------------------------------------------------------------ System environment: sys.platform: linux Python: 3.9.0 (default, Nov 15 2020, 14:28:56) [GCC 7.3.0] CUDA available: True numpy_random_seed: 797829110 GPU 0,1,2,3: NVIDIA GeForce RTX 3090 CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.3, V11.3.109 GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0 PyTorch: 1.12.1+cu113 PyTorch compiling details: PyTorch built with: - GCC 9.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 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 11.3 - 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_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 - CuDNN 8.2 - Built with CuDNN 8.3.2 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, 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 -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -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=1.12.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.13.1+cu102 OpenCV: 4.7.0 MMEngine: 0.7.3 Runtime environment: cudnn_benchmark: False mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} dist_cfg: {'backend': 'nccl'} seed: None Distributed launcher: pytorch Distributed training: True GPU number: 4 ------------------------------------------------------------ 2023/07/29 00:40:44 - mmengine - INFO - Config: preprocess_cfg = dict( mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375]) checkpoint = 'https://download.openmmlab.com/mmclassification/v0/mobileone/mobileone-s4_8xb32_in1k_20221110-28d888cb.pth' model = dict( type='Recognizer2D', backbone=dict( type='MobileOneTSM', arch='s4', shift_div=8, num_segments=8, is_shift=True, init_cfg=dict( type='Pretrained', checkpoint= 'https://download.openmmlab.com/mmclassification/v0/mobileone/mobileone-s4_8xb32_in1k_20221110-28d888cb.pth', prefix='backbone')), cls_head=dict( type='TSMHead', num_segments=16, num_classes=400, in_channels=2048, spatial_type='avg', consensus=dict(type='AvgConsensus', dim=1), dropout_ratio=0.5, init_std=0.001, is_shift=True, average_clips='prob'), data_preprocessor=dict( type='ActionDataPreprocessor', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375]), train_cfg=None, test_cfg=None) default_scope = 'mmaction' default_hooks = dict( runtime_info=dict(type='RuntimeInfoHook'), timer=dict(type='IterTimerHook'), logger=dict(type='LoggerHook', interval=20, ignore_last=False), param_scheduler=dict(type='ParamSchedulerHook'), checkpoint=dict( type='CheckpointHook', interval=3, save_best='auto', max_keep_ckpts=3), sampler_seed=dict(type='DistSamplerSeedHook'), sync_buffers=dict(type='SyncBuffersHook')) env_cfg = dict( cudnn_benchmark=False, mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0), dist_cfg=dict(backend='nccl')) log_processor = dict(type='LogProcessor', window_size=20, by_epoch=True) vis_backends = [dict(type='LocalVisBackend')] visualizer = dict( type='ActionVisualizer', vis_backends=[dict(type='LocalVisBackend')]) log_level = 'INFO' load_from = 'work_dirs/support_mobileone/tsm_imagenet-pretrained-mobilenetones4_8xb16-1x1x16-50e_kinetics400-rgb/best_acc_top1_epoch_48.pth' resume = False dataset_type = 'VideoDataset' data_root = 'data/kinetics400/videos_train' data_root_val = 'data/kinetics400/videos_val' ann_file_train = 'data/kinetics400/kinetics400_train_list_videos.txt' ann_file_val = 'data/kinetics400/kinetics400_val_list_videos.txt' file_client_args = dict(io_backend='disk') train_pipeline = [ dict(type='DecordInit', io_backend='disk'), dict(type='SampleFrames', clip_len=1, frame_interval=1, num_clips=16), dict(type='DecordDecode'), dict(type='Resize', scale=(-1, 256)), dict( type='MultiScaleCrop', input_size=224, scales=(1, 0.875, 0.75, 0.66), random_crop=False, max_wh_scale_gap=1, num_fixed_crops=13), dict(type='Resize', scale=(224, 224), keep_ratio=False), dict(type='Flip', flip_ratio=0.5), dict(type='FormatShape', input_format='NCHW'), dict(type='PackActionInputs') ] val_pipeline = [ dict(type='DecordInit', io_backend='disk'), dict( type='SampleFrames', clip_len=1, frame_interval=1, num_clips=16, test_mode=True), dict(type='DecordDecode'), dict(type='Resize', scale=(-1, 256)), dict(type='CenterCrop', crop_size=224), dict(type='FormatShape', input_format='NCHW'), dict(type='PackActionInputs') ] test_pipeline = [ dict(type='DecordInit', io_backend='disk'), dict( type='SampleFrames', clip_len=1, frame_interval=1, num_clips=16, test_mode=True), dict(type='DecordDecode'), dict(type='Resize', scale=(-1, 256)), dict(type='ThreeCrop', crop_size=256), dict(type='FormatShape', input_format='NCHW'), dict(type='PackActionInputs') ] train_dataloader = dict( batch_size=8, num_workers=8, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=True), dataset=dict( type='VideoDataset', ann_file='data/kinetics400/kinetics400_train_list_videos.txt', data_prefix=dict(video='data/kinetics400/videos_train'), pipeline=[ dict(type='DecordInit', io_backend='disk'), dict( type='SampleFrames', clip_len=1, frame_interval=1, num_clips=16), dict(type='DecordDecode'), dict(type='Resize', scale=(-1, 256)), dict( type='MultiScaleCrop', input_size=224, scales=(1, 0.875, 0.75, 0.66), random_crop=False, max_wh_scale_gap=1, num_fixed_crops=13), dict(type='Resize', scale=(224, 224), keep_ratio=False), dict(type='Flip', flip_ratio=0.5), dict(type='FormatShape', input_format='NCHW'), dict(type='PackActionInputs') ])) val_dataloader = dict( batch_size=8, num_workers=8, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='VideoDataset', ann_file='data/kinetics400/kinetics400_val_list_videos.txt', data_prefix=dict(video='data/kinetics400/videos_val'), pipeline=[ dict(type='DecordInit', io_backend='disk'), dict( type='SampleFrames', clip_len=1, frame_interval=1, num_clips=16, test_mode=True), dict(type='DecordDecode'), dict(type='Resize', scale=(-1, 256)), dict(type='CenterCrop', crop_size=224), dict(type='FormatShape', input_format='NCHW'), dict(type='PackActionInputs') ], test_mode=True)) test_dataloader = dict( batch_size=1, num_workers=8, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='VideoDataset', ann_file='data/kinetics400/kinetics400_val_list_videos.txt', data_prefix=dict(video='data/kinetics400/videos_val'), pipeline=[ dict(type='DecordInit', io_backend='disk'), dict( type='SampleFrames', clip_len=1, frame_interval=1, num_clips=16, test_mode=True), dict(type='DecordDecode'), dict(type='Resize', scale=(-1, 256)), dict(type='ThreeCrop', crop_size=256), dict(type='FormatShape', input_format='NCHW'), dict(type='PackActionInputs') ], test_mode=True)) val_evaluator = dict(type='AccMetric') test_evaluator = dict(type='AccMetric') train_cfg = dict( type='EpochBasedTrainLoop', max_epochs=50, val_begin=1, val_interval=1) val_cfg = dict(type='ValLoop') test_cfg = dict(type='TestLoop') param_scheduler = [ dict(type='LinearLR', start_factor=0.1, by_epoch=True, begin=0, end=5), dict( type='MultiStepLR', begin=0, end=50, by_epoch=True, milestones=[25, 45], gamma=0.1) ] optim_wrapper = dict( constructor='TSMOptimWrapperConstructor', paramwise_cfg=dict(fc_lr5=True), optimizer=dict(type='SGD', lr=0.02, momentum=0.9, weight_decay=2e-05), clip_grad=dict(max_norm=20, norm_type=2)) auto_scale_lr = dict(enable=True, base_batch_size=128) launcher = 'pytorch' work_dir = 'work_dirs/support_mobileone/tsm_imagenet-pretrained-mobilenetones4_8xb16-1x1x16-50e_kinetics400-rgb' 2023/07/29 00:40:54 - mmengine - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) RuntimeInfoHook (BELOW_NORMAL) LoggerHook -------------------- before_train: (VERY_HIGH ) RuntimeInfoHook (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 (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- after_train_epoch: (NORMAL ) IterTimerHook (NORMAL ) SyncBuffersHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- before_val_epoch: (NORMAL ) IterTimerHook (NORMAL ) SyncBuffersHook -------------------- before_val_iter: (NORMAL ) IterTimerHook -------------------- after_val_iter: (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook -------------------- after_val_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- after_train: (VERY_LOW ) CheckpointHook -------------------- before_test_epoch: (NORMAL ) IterTimerHook -------------------- before_test_iter: (NORMAL ) IterTimerHook -------------------- after_test_iter: (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook -------------------- after_test_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook -------------------- after_run: (BELOW_NORMAL) LoggerHook -------------------- 2023/07/29 00:40:56 - mmengine - INFO - Load checkpoint from work_dirs/support_mobileone/tsm_imagenet-pretrained-mobilenetones4_8xb16-1x1x16-50e_kinetics400-rgb/best_acc_top1_epoch_48.pth 2023/07/29 00:40:57 - mmengine - WARNING - "FileClient" will be deprecated in future. Please use io functions in https://mmengine.readthedocs.io/en/latest/api/fileio.html#file-io 2023/07/29 00:40:57 - mmengine - WARNING - "FileClient" will be deprecated in future. Please use io functions in https://mmengine.readthedocs.io/en/latest/api/fileio.html#file-io 2023/07/29 00:40:57 - mmengine - WARNING - "HardDiskBackend" is the alias of "LocalBackend" and the former will be deprecated in future. 2023/07/29 00:40:57 - mmengine - WARNING - "HardDiskBackend" is the alias of "LocalBackend" and the former will be deprecated in future. 2023/07/29 00:40:57 - mmengine - WARNING - "FileClient" will be deprecated in future. Please use io functions in https://mmengine.readthedocs.io/en/latest/api/fileio.html#file-io 2023/07/29 00:40:57 - mmengine - WARNING - "FileClient" will be deprecated in future. Please use io functions in https://mmengine.readthedocs.io/en/latest/api/fileio.html#file-io 2023/07/29 00:40:57 - mmengine - WARNING - "FileClient" will be deprecated in future. Please use io functions in https://mmengine.readthedocs.io/en/latest/api/fileio.html#file-io 2023/07/29 00:40:57 - mmengine - WARNING - "FileClient" will be deprecated in future. Please use io functions in https://mmengine.readthedocs.io/en/latest/api/fileio.html#file-io 2023/07/29 00:40:57 - mmengine - WARNING - "FileClient" will be deprecated in future. Please use io functions in https://mmengine.readthedocs.io/en/latest/api/fileio.html#file-io 2023/07/29 00:40:57 - mmengine - WARNING - "FileClient" will be deprecated in future. Please use io functions in https://mmengine.readthedocs.io/en/latest/api/fileio.html#file-io 2023/07/29 00:40:57 - mmengine - WARNING - "HardDiskBackend" is the alias of "LocalBackend" and the former will be deprecated in future. 2023/07/29 00:40:57 - mmengine - WARNING - "HardDiskBackend" is the alias of "LocalBackend" and the former will be deprecated in future. 2023/07/29 00:40:57 - mmengine - WARNING - "HardDiskBackend" is the alias of "LocalBackend" and the former will be deprecated in future. 2023/07/29 00:40:57 - mmengine - WARNING - "HardDiskBackend" is the alias of "LocalBackend" and the former will be deprecated in future. 2023/07/29 00:40:57 - mmengine - WARNING - "HardDiskBackend" is the alias of "LocalBackend" and the former will be deprecated in future. 2023/07/29 00:40:57 - mmengine - WARNING - "HardDiskBackend" is the alias of "LocalBackend" and the former will be deprecated in future. 2023/07/29 00:41:02 - mmengine - INFO - Epoch(test) [ 20/4949] eta: 0:22:20 time: 0.2719 data_time: 0.0575 memory: 1054 2023/07/29 00:41:03 - mmengine - INFO - Epoch(test) [ 40/4949] eta: 0:14:44 time: 0.0884 data_time: 0.0023 memory: 1054 2023/07/29 00:41:05 - mmengine - INFO - Epoch(test) [ 60/4949] eta: 0:12:10 time: 0.0882 data_time: 0.0022 memory: 1054 2023/07/29 00:41:07 - mmengine - INFO - Epoch(test) [ 80/4949] eta: 0:10:53 time: 0.0882 data_time: 0.0022 memory: 1054 2023/07/29 00:41:09 - mmengine - INFO - Epoch(test) [ 100/4949] eta: 0:10:06 time: 0.0884 data_time: 0.0022 memory: 1054 2023/07/29 00:41:10 - mmengine - INFO - Epoch(test) [ 120/4949] eta: 0:09:34 time: 0.0885 data_time: 0.0023 memory: 1054 2023/07/29 00:41:12 - mmengine - INFO - Epoch(test) [ 140/4949] eta: 0:09:11 time: 0.0887 data_time: 0.0022 memory: 1054 2023/07/29 00:41:14 - mmengine - INFO - Epoch(test) [ 160/4949] eta: 0:08:53 time: 0.0887 data_time: 0.0022 memory: 1054 2023/07/29 00:41:16 - mmengine - INFO - Epoch(test) [ 180/4949] eta: 0:08:39 time: 0.0886 data_time: 0.0022 memory: 1054 2023/07/29 00:41:17 - mmengine - INFO - Epoch(test) [ 200/4949] eta: 0:08:27 time: 0.0888 data_time: 0.0023 memory: 1054 2023/07/29 00:41:19 - 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mmengine - INFO - Epoch(test) [ 940/4949] eta: 0:06:12 time: 0.0895 data_time: 0.0024 memory: 1054 2023/07/29 00:42:25 - mmengine - INFO - Epoch(test) [ 960/4949] eta: 0:06:10 time: 0.0897 data_time: 0.0026 memory: 1054 2023/07/29 00:42:27 - mmengine - INFO - Epoch(test) [ 980/4949] eta: 0:06:07 time: 0.0894 data_time: 0.0023 memory: 1054 2023/07/29 00:42:29 - mmengine - INFO - Epoch(test) [1000/4949] eta: 0:06:05 time: 0.0895 data_time: 0.0024 memory: 1054 2023/07/29 00:42:31 - mmengine - INFO - Epoch(test) [1020/4949] eta: 0:06:03 time: 0.0897 data_time: 0.0025 memory: 1054 2023/07/29 00:42:32 - mmengine - INFO - Epoch(test) [1040/4949] eta: 0:06:01 time: 0.0895 data_time: 0.0024 memory: 1054 2023/07/29 00:42:34 - mmengine - INFO - Epoch(test) [1060/4949] eta: 0:05:59 time: 0.0895 data_time: 0.0023 memory: 1054 2023/07/29 00:42:36 - mmengine - INFO - Epoch(test) [1080/4949] eta: 0:05:57 time: 0.0898 data_time: 0.0025 memory: 1054 2023/07/29 00:42:38 - mmengine - INFO - Epoch(test) [1100/4949] eta: 0:05:55 time: 0.0896 data_time: 0.0024 memory: 1054 2023/07/29 00:42:40 - mmengine - INFO - Epoch(test) [1120/4949] eta: 0:05:53 time: 0.0897 data_time: 0.0024 memory: 1054 2023/07/29 00:42:41 - mmengine - INFO - Epoch(test) [1140/4949] eta: 0:05:51 time: 0.0898 data_time: 0.0026 memory: 1054 2023/07/29 00:42:43 - mmengine - INFO - Epoch(test) [1160/4949] eta: 0:05:49 time: 0.0896 data_time: 0.0023 memory: 1054 2023/07/29 00:42:45 - mmengine - INFO - Epoch(test) [1180/4949] eta: 0:05:47 time: 0.0901 data_time: 0.0028 memory: 1054 2023/07/29 00:42:47 - mmengine - INFO - Epoch(test) [1200/4949] eta: 0:05:45 time: 0.0896 data_time: 0.0023 memory: 1054 2023/07/29 00:42:49 - mmengine - INFO - Epoch(test) [1220/4949] eta: 0:05:43 time: 0.0896 data_time: 0.0024 memory: 1054 2023/07/29 00:42:50 - mmengine - INFO - Epoch(test) [1240/4949] eta: 0:05:41 time: 0.0896 data_time: 0.0024 memory: 1054 2023/07/29 00:42:52 - mmengine - INFO - Epoch(test) [1260/4949] eta: 0:05:39 time: 0.0899 data_time: 0.0026 memory: 1054 2023/07/29 00:42:54 - mmengine - INFO - Epoch(test) [1280/4949] eta: 0:05:37 time: 0.0898 data_time: 0.0024 memory: 1054 2023/07/29 00:42:56 - mmengine - INFO - Epoch(test) [1300/4949] eta: 0:05:35 time: 0.0898 data_time: 0.0025 memory: 1054 2023/07/29 00:42:58 - mmengine - INFO - Epoch(test) [1320/4949] eta: 0:05:33 time: 0.0898 data_time: 0.0025 memory: 1054 2023/07/29 00:42:59 - mmengine - INFO - Epoch(test) [1340/4949] eta: 0:05:31 time: 0.0899 data_time: 0.0025 memory: 1054 2023/07/29 00:43:01 - mmengine - INFO - Epoch(test) [1360/4949] eta: 0:05:29 time: 0.0901 data_time: 0.0025 memory: 1054 2023/07/29 00:43:03 - mmengine - INFO - Epoch(test) [1380/4949] eta: 0:05:27 time: 0.0902 data_time: 0.0027 memory: 1054 2023/07/29 00:43:05 - mmengine - INFO - Epoch(test) [1400/4949] eta: 0:05:25 time: 0.0900 data_time: 0.0026 memory: 1054 2023/07/29 00:43:07 - mmengine - INFO - Epoch(test) [1420/4949] eta: 0:05:23 time: 0.0898 data_time: 0.0025 memory: 1054 2023/07/29 00:43:08 - mmengine - INFO - Epoch(test) [1440/4949] eta: 0:05:22 time: 0.0901 data_time: 0.0028 memory: 1054 2023/07/29 00:43:10 - mmengine - INFO - Epoch(test) [1460/4949] eta: 0:05:20 time: 0.0897 data_time: 0.0024 memory: 1054 2023/07/29 00:43:12 - mmengine - INFO - Epoch(test) [1480/4949] eta: 0:05:18 time: 0.0898 data_time: 0.0025 memory: 1054 2023/07/29 00:43:14 - mmengine - INFO - Epoch(test) [1500/4949] eta: 0:05:16 time: 0.0898 data_time: 0.0025 memory: 1054 2023/07/29 00:43:16 - mmengine - INFO - Epoch(test) [1520/4949] eta: 0:05:14 time: 0.0898 data_time: 0.0024 memory: 1054 2023/07/29 00:43:17 - mmengine - INFO - Epoch(test) [1540/4949] eta: 0:05:12 time: 0.0898 data_time: 0.0025 memory: 1054 2023/07/29 00:43:19 - mmengine - INFO - Epoch(test) [1560/4949] eta: 0:05:10 time: 0.0898 data_time: 0.0025 memory: 1054 2023/07/29 00:43:21 - mmengine - INFO - Epoch(test) [1580/4949] eta: 0:05:08 time: 0.0897 data_time: 0.0024 memory: 1054 2023/07/29 00:43:23 - mmengine - INFO - Epoch(test) [1600/4949] eta: 0:05:06 time: 0.0899 data_time: 0.0025 memory: 1054 2023/07/29 00:43:25 - mmengine - INFO - Epoch(test) [1620/4949] eta: 0:05:04 time: 0.0899 data_time: 0.0026 memory: 1054 2023/07/29 00:43:26 - mmengine - INFO - Epoch(test) [1640/4949] eta: 0:05:02 time: 0.0899 data_time: 0.0025 memory: 1054 2023/07/29 00:43:28 - mmengine - INFO - Epoch(test) [1660/4949] eta: 0:05:01 time: 0.0899 data_time: 0.0025 memory: 1054 2023/07/29 00:43:30 - mmengine - INFO - Epoch(test) [1680/4949] eta: 0:04:59 time: 0.0900 data_time: 0.0025 memory: 1054 2023/07/29 00:43:32 - mmengine - INFO - Epoch(test) [1700/4949] eta: 0:04:57 time: 0.0899 data_time: 0.0025 memory: 1054 2023/07/29 00:43:34 - mmengine - INFO - Epoch(test) [1720/4949] eta: 0:04:55 time: 0.0898 data_time: 0.0025 memory: 1054 2023/07/29 00:43:35 - mmengine - INFO - Epoch(test) [1740/4949] eta: 0:04:53 time: 0.0899 data_time: 0.0024 memory: 1054 2023/07/29 00:43:37 - mmengine - INFO - Epoch(test) [1760/4949] eta: 0:04:51 time: 0.0899 data_time: 0.0024 memory: 1054 2023/07/29 00:43:39 - mmengine - INFO - Epoch(test) [1780/4949] eta: 0:04:49 time: 0.0901 data_time: 0.0026 memory: 1054 2023/07/29 00:43:41 - mmengine - INFO - Epoch(test) [1800/4949] eta: 0:04:47 time: 0.0900 data_time: 0.0024 memory: 1054 2023/07/29 00:43:43 - mmengine - INFO - Epoch(test) [1820/4949] eta: 0:04:45 time: 0.0899 data_time: 0.0024 memory: 1054 2023/07/29 00:43:44 - mmengine - INFO - Epoch(test) [1840/4949] eta: 0:04:44 time: 0.0905 data_time: 0.0028 memory: 1054 2023/07/29 00:43:46 - mmengine - INFO - Epoch(test) [1860/4949] eta: 0:04:42 time: 0.0912 data_time: 0.0033 memory: 1054 2023/07/29 00:43:48 - mmengine - INFO - Epoch(test) [1880/4949] eta: 0:04:40 time: 0.0914 data_time: 0.0033 memory: 1054 2023/07/29 00:43:50 - mmengine - INFO - Epoch(test) [1900/4949] eta: 0:04:38 time: 0.0912 data_time: 0.0034 memory: 1054 2023/07/29 00:43:52 - mmengine - INFO - Epoch(test) [1920/4949] eta: 0:04:36 time: 0.0911 data_time: 0.0033 memory: 1054 2023/07/29 00:43:53 - mmengine - INFO - Epoch(test) [1940/4949] eta: 0:04:34 time: 0.0910 data_time: 0.0032 memory: 1054 2023/07/29 00:43:55 - mmengine - INFO - Epoch(test) [1960/4949] eta: 0:04:33 time: 0.0901 data_time: 0.0025 memory: 1054 2023/07/29 00:43:57 - mmengine - INFO - Epoch(test) [1980/4949] eta: 0:04:31 time: 0.0900 data_time: 0.0025 memory: 1054 2023/07/29 00:43:59 - mmengine - INFO - Epoch(test) [2000/4949] eta: 0:04:29 time: 0.0899 data_time: 0.0025 memory: 1054 2023/07/29 00:44:01 - mmengine - INFO - Epoch(test) [2020/4949] eta: 0:04:27 time: 0.0903 data_time: 0.0028 memory: 1054 2023/07/29 00:44:02 - mmengine - INFO - Epoch(test) [2040/4949] eta: 0:04:25 time: 0.0901 data_time: 0.0025 memory: 1054 2023/07/29 00:44:04 - mmengine - INFO - Epoch(test) [2060/4949] eta: 0:04:23 time: 0.0903 data_time: 0.0026 memory: 1054 2023/07/29 00:44:06 - mmengine - INFO - Epoch(test) [2080/4949] eta: 0:04:21 time: 0.0903 data_time: 0.0028 memory: 1054 2023/07/29 00:44:08 - mmengine - INFO - Epoch(test) [2100/4949] eta: 0:04:20 time: 0.0901 data_time: 0.0026 memory: 1054 2023/07/29 00:44:10 - mmengine - INFO - Epoch(test) [2120/4949] eta: 0:04:18 time: 0.0902 data_time: 0.0025 memory: 1054 2023/07/29 00:44:12 - mmengine - INFO - Epoch(test) [2140/4949] eta: 0:04:16 time: 0.0899 data_time: 0.0024 memory: 1054 2023/07/29 00:44:13 - mmengine - INFO - Epoch(test) [2160/4949] eta: 0:04:14 time: 0.0899 data_time: 0.0025 memory: 1054 2023/07/29 00:44:15 - mmengine - INFO - Epoch(test) [2180/4949] eta: 0:04:12 time: 0.0900 data_time: 0.0025 memory: 1054 2023/07/29 00:44:17 - mmengine - INFO - Epoch(test) [2200/4949] eta: 0:04:10 time: 0.0900 data_time: 0.0025 memory: 1054 2023/07/29 00:44:19 - mmengine - INFO - Epoch(test) [2220/4949] eta: 0:04:08 time: 0.0900 data_time: 0.0025 memory: 1054 2023/07/29 00:44:21 - mmengine - INFO - Epoch(test) [2240/4949] eta: 0:04:07 time: 0.0901 data_time: 0.0026 memory: 1054 2023/07/29 00:44:22 - mmengine - INFO - Epoch(test) [2260/4949] eta: 0:04:05 time: 0.0899 data_time: 0.0024 memory: 1054 2023/07/29 00:44:24 - mmengine - INFO - Epoch(test) [2280/4949] eta: 0:04:03 time: 0.0901 data_time: 0.0026 memory: 1054 2023/07/29 00:44:26 - mmengine - INFO - Epoch(test) [2300/4949] eta: 0:04:01 time: 0.0899 data_time: 0.0025 memory: 1054 2023/07/29 00:44:28 - mmengine - INFO - Epoch(test) [2320/4949] eta: 0:03:59 time: 0.0901 data_time: 0.0026 memory: 1054 2023/07/29 00:44:30 - mmengine - INFO - Epoch(test) [2340/4949] eta: 0:03:57 time: 0.0900 data_time: 0.0025 memory: 1054 2023/07/29 00:44:31 - mmengine - INFO - Epoch(test) [2360/4949] eta: 0:03:55 time: 0.0900 data_time: 0.0025 memory: 1054 2023/07/29 00:44:33 - mmengine - INFO - Epoch(test) [2380/4949] eta: 0:03:54 time: 0.0899 data_time: 0.0024 memory: 1054 2023/07/29 00:44:35 - mmengine - INFO - Epoch(test) [2400/4949] eta: 0:03:52 time: 0.0901 data_time: 0.0025 memory: 1054 2023/07/29 00:44:37 - mmengine - INFO - Epoch(test) [2420/4949] eta: 0:03:50 time: 0.0900 data_time: 0.0025 memory: 1054 2023/07/29 00:44:39 - mmengine - INFO - Epoch(test) [2440/4949] eta: 0:03:48 time: 0.0901 data_time: 0.0024 memory: 1054 2023/07/29 00:44:40 - mmengine - INFO - Epoch(test) [2460/4949] eta: 0:03:46 time: 0.0899 data_time: 0.0025 memory: 1054 2023/07/29 00:44:42 - mmengine - INFO - Epoch(test) [2480/4949] eta: 0:03:44 time: 0.0900 data_time: 0.0024 memory: 1054 2023/07/29 00:44:44 - mmengine - INFO - Epoch(test) [2500/4949] eta: 0:03:43 time: 0.0900 data_time: 0.0024 memory: 1054 2023/07/29 00:44:46 - mmengine - INFO - Epoch(test) [2520/4949] eta: 0:03:41 time: 0.0902 data_time: 0.0026 memory: 1054 2023/07/29 00:44:48 - mmengine - INFO - Epoch(test) [2540/4949] eta: 0:03:39 time: 0.0900 data_time: 0.0024 memory: 1054 2023/07/29 00:44:49 - mmengine - INFO - Epoch(test) [2560/4949] eta: 0:03:37 time: 0.0900 data_time: 0.0025 memory: 1054 2023/07/29 00:44:51 - mmengine - INFO - Epoch(test) [2580/4949] eta: 0:03:35 time: 0.0898 data_time: 0.0023 memory: 1054 2023/07/29 00:44:53 - mmengine - INFO - Epoch(test) [2600/4949] eta: 0:03:33 time: 0.0903 data_time: 0.0029 memory: 1054 2023/07/29 00:44:55 - mmengine - INFO - Epoch(test) [2620/4949] eta: 0:03:31 time: 0.0900 data_time: 0.0025 memory: 1054 2023/07/29 00:44:57 - mmengine - INFO - Epoch(test) [2640/4949] eta: 0:03:30 time: 0.0901 data_time: 0.0027 memory: 1054 2023/07/29 00:44:58 - mmengine - INFO - Epoch(test) [2660/4949] eta: 0:03:28 time: 0.0898 data_time: 0.0024 memory: 1054 2023/07/29 00:45:00 - mmengine - INFO - Epoch(test) [2680/4949] eta: 0:03:26 time: 0.0899 data_time: 0.0025 memory: 1054 2023/07/29 00:45:02 - mmengine - INFO - Epoch(test) [2700/4949] eta: 0:03:24 time: 0.0899 data_time: 0.0024 memory: 1054 2023/07/29 00:45:04 - mmengine - INFO - Epoch(test) [2720/4949] eta: 0:03:22 time: 0.0898 data_time: 0.0024 memory: 1054 2023/07/29 00:45:06 - mmengine - INFO - Epoch(test) [2740/4949] eta: 0:03:20 time: 0.0897 data_time: 0.0023 memory: 1054 2023/07/29 00:45:07 - mmengine - INFO - Epoch(test) [2760/4949] eta: 0:03:19 time: 0.0898 data_time: 0.0024 memory: 1054 2023/07/29 00:45:09 - mmengine - INFO - Epoch(test) [2780/4949] eta: 0:03:17 time: 0.0899 data_time: 0.0024 memory: 1054 2023/07/29 00:45:11 - mmengine - INFO - Epoch(test) [2800/4949] eta: 0:03:15 time: 0.0898 data_time: 0.0023 memory: 1054 2023/07/29 00:45:13 - mmengine - INFO - Epoch(test) [2820/4949] eta: 0:03:13 time: 0.0897 data_time: 0.0023 memory: 1054 2023/07/29 00:45:15 - mmengine - INFO - Epoch(test) [2840/4949] eta: 0:03:11 time: 0.0896 data_time: 0.0023 memory: 1054 2023/07/29 00:45:16 - mmengine - INFO - Epoch(test) [2860/4949] eta: 0:03:09 time: 0.0899 data_time: 0.0024 memory: 1054 2023/07/29 00:45:18 - mmengine - INFO - Epoch(test) [2880/4949] eta: 0:03:08 time: 0.0898 data_time: 0.0024 memory: 1054 2023/07/29 00:45:20 - mmengine - INFO - Epoch(test) [2900/4949] eta: 0:03:06 time: 0.0898 data_time: 0.0024 memory: 1054 2023/07/29 00:45:22 - mmengine - INFO - Epoch(test) [2920/4949] eta: 0:03:04 time: 0.0899 data_time: 0.0024 memory: 1054 2023/07/29 00:45:24 - mmengine - INFO - Epoch(test) [2940/4949] eta: 0:03:02 time: 0.0898 data_time: 0.0023 memory: 1054 2023/07/29 00:45:25 - mmengine - INFO - Epoch(test) [2960/4949] eta: 0:03:00 time: 0.0897 data_time: 0.0023 memory: 1054 2023/07/29 00:45:27 - mmengine - INFO - Epoch(test) [2980/4949] eta: 0:02:58 time: 0.0898 data_time: 0.0023 memory: 1054 2023/07/29 00:45:29 - mmengine - INFO - Epoch(test) [3000/4949] eta: 0:02:57 time: 0.0898 data_time: 0.0024 memory: 1054 2023/07/29 00:45:31 - mmengine - INFO - Epoch(test) [3020/4949] eta: 0:02:55 time: 0.0901 data_time: 0.0025 memory: 1054 2023/07/29 00:45:32 - mmengine - INFO - Epoch(test) [3040/4949] eta: 0:02:53 time: 0.0900 data_time: 0.0025 memory: 1054 2023/07/29 00:45:34 - mmengine - INFO - Epoch(test) [3060/4949] eta: 0:02:51 time: 0.0900 data_time: 0.0025 memory: 1054 2023/07/29 00:45:36 - mmengine - INFO - Epoch(test) [3080/4949] eta: 0:02:49 time: 0.0900 data_time: 0.0025 memory: 1054 2023/07/29 00:45:38 - mmengine - INFO - Epoch(test) [3100/4949] eta: 0:02:47 time: 0.0900 data_time: 0.0025 memory: 1054 2023/07/29 00:45:40 - mmengine - INFO - Epoch(test) [3120/4949] eta: 0:02:46 time: 0.0900 data_time: 0.0025 memory: 1054 2023/07/29 00:45:42 - mmengine - INFO - Epoch(test) [3140/4949] eta: 0:02:44 time: 0.0898 data_time: 0.0023 memory: 1054 2023/07/29 00:45:43 - mmengine - INFO - Epoch(test) [3160/4949] eta: 0:02:42 time: 0.0898 data_time: 0.0024 memory: 1054 2023/07/29 00:45:45 - mmengine - INFO - Epoch(test) [3180/4949] eta: 0:02:40 time: 0.0898 data_time: 0.0024 memory: 1054 2023/07/29 00:45:47 - mmengine - INFO - Epoch(test) [3200/4949] eta: 0:02:38 time: 0.0900 data_time: 0.0025 memory: 1054 2023/07/29 00:45:49 - mmengine - INFO - Epoch(test) [3220/4949] eta: 0:02:36 time: 0.0900 data_time: 0.0024 memory: 1054 2023/07/29 00:45:50 - mmengine - INFO - Epoch(test) [3240/4949] eta: 0:02:35 time: 0.0900 data_time: 0.0025 memory: 1054 2023/07/29 00:45:52 - mmengine - INFO - Epoch(test) [3260/4949] eta: 0:02:33 time: 0.0900 data_time: 0.0024 memory: 1054 2023/07/29 00:45:54 - mmengine - INFO - Epoch(test) [3280/4949] eta: 0:02:31 time: 0.0900 data_time: 0.0025 memory: 1054 2023/07/29 00:45:56 - mmengine - INFO - Epoch(test) [3300/4949] eta: 0:02:29 time: 0.0900 data_time: 0.0024 memory: 1054 2023/07/29 00:45:58 - mmengine - INFO - Epoch(test) [3320/4949] eta: 0:02:27 time: 0.0900 data_time: 0.0026 memory: 1054 2023/07/29 00:46:00 - mmengine - INFO - Epoch(test) [3340/4949] eta: 0:02:26 time: 0.0898 data_time: 0.0024 memory: 1054 2023/07/29 00:46:01 - mmengine - INFO - Epoch(test) [3360/4949] eta: 0:02:24 time: 0.0901 data_time: 0.0025 memory: 1054 2023/07/29 00:46:03 - mmengine - INFO - Epoch(test) [3380/4949] eta: 0:02:22 time: 0.0899 data_time: 0.0024 memory: 1054 2023/07/29 00:46:05 - mmengine - INFO - Epoch(test) [3400/4949] eta: 0:02:20 time: 0.0899 data_time: 0.0025 memory: 1054 2023/07/29 00:46:07 - mmengine - INFO - Epoch(test) [3420/4949] eta: 0:02:18 time: 0.0899 data_time: 0.0024 memory: 1054 2023/07/29 00:46:09 - mmengine - INFO - Epoch(test) [3440/4949] eta: 0:02:16 time: 0.0898 data_time: 0.0024 memory: 1054 2023/07/29 00:46:10 - mmengine - INFO - Epoch(test) [3460/4949] eta: 0:02:15 time: 0.0898 data_time: 0.0024 memory: 1054 2023/07/29 00:46:12 - mmengine - INFO - Epoch(test) [3480/4949] eta: 0:02:13 time: 0.0901 data_time: 0.0025 memory: 1054 2023/07/29 00:46:14 - mmengine - INFO - Epoch(test) [3500/4949] eta: 0:02:11 time: 0.0900 data_time: 0.0025 memory: 1054 2023/07/29 00:46:16 - mmengine - INFO - Epoch(test) [3520/4949] eta: 0:02:09 time: 0.0899 data_time: 0.0024 memory: 1054 2023/07/29 00:46:18 - mmengine - INFO - Epoch(test) [3540/4949] eta: 0:02:07 time: 0.0899 data_time: 0.0024 memory: 1054 2023/07/29 00:46:19 - mmengine - INFO - Epoch(test) [3560/4949] eta: 0:02:06 time: 0.0900 data_time: 0.0024 memory: 1054 2023/07/29 00:46:21 - mmengine - INFO - Epoch(test) [3580/4949] eta: 0:02:04 time: 0.0900 data_time: 0.0024 memory: 1054 2023/07/29 00:46:23 - mmengine - INFO - Epoch(test) [3600/4949] eta: 0:02:02 time: 0.0901 data_time: 0.0025 memory: 1054 2023/07/29 00:46:25 - mmengine - INFO - Epoch(test) [3620/4949] eta: 0:02:00 time: 0.0900 data_time: 0.0025 memory: 1054 2023/07/29 00:46:27 - mmengine - INFO - Epoch(test) [3640/4949] eta: 0:01:58 time: 0.0899 data_time: 0.0024 memory: 1054 2023/07/29 00:46:28 - mmengine - INFO - Epoch(test) [3660/4949] eta: 0:01:56 time: 0.0900 data_time: 0.0025 memory: 1054 2023/07/29 00:46:30 - mmengine - INFO - Epoch(test) [3680/4949] eta: 0:01:55 time: 0.0900 data_time: 0.0024 memory: 1054 2023/07/29 00:46:32 - mmengine - INFO - Epoch(test) [3700/4949] eta: 0:01:53 time: 0.0901 data_time: 0.0025 memory: 1054 2023/07/29 00:46:34 - mmengine - INFO - Epoch(test) [3720/4949] eta: 0:01:51 time: 0.0901 data_time: 0.0025 memory: 1054 2023/07/29 00:46:36 - mmengine - INFO - Epoch(test) [3740/4949] eta: 0:01:49 time: 0.0898 data_time: 0.0023 memory: 1054 2023/07/29 00:46:37 - mmengine - INFO - Epoch(test) [3760/4949] eta: 0:01:47 time: 0.0902 data_time: 0.0026 memory: 1054 2023/07/29 00:46:39 - mmengine - INFO - Epoch(test) [3780/4949] eta: 0:01:46 time: 0.0899 data_time: 0.0024 memory: 1054 2023/07/29 00:46:41 - mmengine - INFO - Epoch(test) [3800/4949] eta: 0:01:44 time: 0.0901 data_time: 0.0025 memory: 1054 2023/07/29 00:46:43 - mmengine - INFO - Epoch(test) [3820/4949] eta: 0:01:42 time: 0.0900 data_time: 0.0024 memory: 1054 2023/07/29 00:46:45 - mmengine - INFO - Epoch(test) [3840/4949] eta: 0:01:40 time: 0.0901 data_time: 0.0025 memory: 1054 2023/07/29 00:46:46 - mmengine - INFO - Epoch(test) [3860/4949] eta: 0:01:38 time: 0.0900 data_time: 0.0024 memory: 1054 2023/07/29 00:46:48 - mmengine - INFO - Epoch(test) [3880/4949] eta: 0:01:36 time: 0.0901 data_time: 0.0025 memory: 1054 2023/07/29 00:46:50 - mmengine - INFO - Epoch(test) [3900/4949] eta: 0:01:35 time: 0.0905 data_time: 0.0029 memory: 1054 2023/07/29 00:46:52 - mmengine - INFO - Epoch(test) [3920/4949] eta: 0:01:33 time: 0.0901 data_time: 0.0025 memory: 1054 2023/07/29 00:46:54 - mmengine - INFO - Epoch(test) [3940/4949] eta: 0:01:31 time: 0.0902 data_time: 0.0025 memory: 1054 2023/07/29 00:46:55 - mmengine - INFO - Epoch(test) [3960/4949] eta: 0:01:29 time: 0.0902 data_time: 0.0026 memory: 1054 2023/07/29 00:46:57 - mmengine - INFO - Epoch(test) [3980/4949] eta: 0:01:27 time: 0.0901 data_time: 0.0025 memory: 1054 2023/07/29 00:46:59 - mmengine - INFO - Epoch(test) [4000/4949] eta: 0:01:26 time: 0.0902 data_time: 0.0025 memory: 1054 2023/07/29 00:47:01 - mmengine - INFO - Epoch(test) [4020/4949] eta: 0:01:24 time: 0.0903 data_time: 0.0026 memory: 1054 2023/07/29 00:47:03 - mmengine - INFO - Epoch(test) [4040/4949] eta: 0:01:22 time: 0.0902 data_time: 0.0026 memory: 1054 2023/07/29 00:47:04 - mmengine - INFO - Epoch(test) [4060/4949] eta: 0:01:20 time: 0.0903 data_time: 0.0027 memory: 1054 2023/07/29 00:47:06 - mmengine - INFO - Epoch(test) [4080/4949] eta: 0:01:18 time: 0.0901 data_time: 0.0025 memory: 1054 2023/07/29 00:47:08 - mmengine - INFO - Epoch(test) [4100/4949] eta: 0:01:16 time: 0.0901 data_time: 0.0025 memory: 1054 2023/07/29 00:47:10 - mmengine - INFO - Epoch(test) [4120/4949] eta: 0:01:15 time: 0.0901 data_time: 0.0025 memory: 1054 2023/07/29 00:47:12 - mmengine - INFO - Epoch(test) [4140/4949] eta: 0:01:13 time: 0.0901 data_time: 0.0025 memory: 1054 2023/07/29 00:47:13 - mmengine - INFO - Epoch(test) [4160/4949] eta: 0:01:11 time: 0.0902 data_time: 0.0025 memory: 1054 2023/07/29 00:47:15 - mmengine - INFO - Epoch(test) [4180/4949] eta: 0:01:09 time: 0.0901 data_time: 0.0025 memory: 1054 2023/07/29 00:47:17 - mmengine - INFO - Epoch(test) [4200/4949] eta: 0:01:07 time: 0.0902 data_time: 0.0025 memory: 1054 2023/07/29 00:47:19 - mmengine - INFO - Epoch(test) [4220/4949] eta: 0:01:06 time: 0.0900 data_time: 0.0024 memory: 1054 2023/07/29 00:47:21 - mmengine - INFO - Epoch(test) [4240/4949] eta: 0:01:04 time: 0.0901 data_time: 0.0025 memory: 1054 2023/07/29 00:47:22 - mmengine - INFO - Epoch(test) [4260/4949] eta: 0:01:02 time: 0.0900 data_time: 0.0024 memory: 1054 2023/07/29 00:47:24 - mmengine - INFO - Epoch(test) [4280/4949] eta: 0:01:00 time: 0.0903 data_time: 0.0026 memory: 1054 2023/07/29 00:47:26 - mmengine - INFO - Epoch(test) [4300/4949] eta: 0:00:58 time: 0.0901 data_time: 0.0025 memory: 1054 2023/07/29 00:47:28 - mmengine - INFO - Epoch(test) [4320/4949] eta: 0:00:56 time: 0.0902 data_time: 0.0026 memory: 1054 2023/07/29 00:47:30 - mmengine - INFO - Epoch(test) [4340/4949] eta: 0:00:55 time: 0.0902 data_time: 0.0026 memory: 1054 2023/07/29 00:47:31 - mmengine - INFO - Epoch(test) [4360/4949] eta: 0:00:53 time: 0.0900 data_time: 0.0025 memory: 1054 2023/07/29 00:47:33 - mmengine - INFO - Epoch(test) [4380/4949] eta: 0:00:51 time: 0.0901 data_time: 0.0024 memory: 1054 2023/07/29 00:47:35 - mmengine - INFO - Epoch(test) [4400/4949] eta: 0:00:49 time: 0.0902 data_time: 0.0026 memory: 1054 2023/07/29 00:47:37 - mmengine - INFO - Epoch(test) [4420/4949] eta: 0:00:47 time: 0.0901 data_time: 0.0025 memory: 1054 2023/07/29 00:47:39 - mmengine - INFO - Epoch(test) [4440/4949] eta: 0:00:46 time: 0.0900 data_time: 0.0024 memory: 1054 2023/07/29 00:47:40 - mmengine - INFO - Epoch(test) [4460/4949] eta: 0:00:44 time: 0.0902 data_time: 0.0025 memory: 1054 2023/07/29 00:47:42 - mmengine - INFO - Epoch(test) [4480/4949] eta: 0:00:42 time: 0.0901 data_time: 0.0025 memory: 1054 2023/07/29 00:47:44 - mmengine - INFO - Epoch(test) [4500/4949] eta: 0:00:40 time: 0.0901 data_time: 0.0025 memory: 1054 2023/07/29 00:47:46 - mmengine - INFO - Epoch(test) [4520/4949] eta: 0:00:38 time: 0.0901 data_time: 0.0025 memory: 1054 2023/07/29 00:47:48 - mmengine - INFO - Epoch(test) [4540/4949] eta: 0:00:37 time: 0.0901 data_time: 0.0026 memory: 1054 2023/07/29 00:47:49 - mmengine - INFO - Epoch(test) [4560/4949] eta: 0:00:35 time: 0.0901 data_time: 0.0025 memory: 1054 2023/07/29 00:47:51 - mmengine - INFO - Epoch(test) [4580/4949] eta: 0:00:33 time: 0.0899 data_time: 0.0024 memory: 1054 2023/07/29 00:47:53 - mmengine - INFO - Epoch(test) [4600/4949] eta: 0:00:31 time: 0.0901 data_time: 0.0025 memory: 1054 2023/07/29 00:47:55 - mmengine - INFO - Epoch(test) [4620/4949] eta: 0:00:29 time: 0.0901 data_time: 0.0025 memory: 1054 2023/07/29 00:47:57 - mmengine - INFO - Epoch(test) [4640/4949] eta: 0:00:27 time: 0.0900 data_time: 0.0024 memory: 1054 2023/07/29 00:47:58 - mmengine - INFO - Epoch(test) [4660/4949] eta: 0:00:26 time: 0.0898 data_time: 0.0023 memory: 1054 2023/07/29 00:48:00 - mmengine - INFO - Epoch(test) [4680/4949] eta: 0:00:24 time: 0.0901 data_time: 0.0025 memory: 1054 2023/07/29 00:48:02 - mmengine - INFO - Epoch(test) [4700/4949] eta: 0:00:22 time: 0.0901 data_time: 0.0024 memory: 1054 2023/07/29 00:48:04 - mmengine - INFO - Epoch(test) [4720/4949] eta: 0:00:20 time: 0.0902 data_time: 0.0025 memory: 1054 2023/07/29 00:48:06 - mmengine - INFO - Epoch(test) [4740/4949] eta: 0:00:18 time: 0.0900 data_time: 0.0024 memory: 1054 2023/07/29 00:48:07 - mmengine - INFO - Epoch(test) [4760/4949] eta: 0:00:17 time: 0.0899 data_time: 0.0024 memory: 1054 2023/07/29 00:48:09 - mmengine - INFO - Epoch(test) [4780/4949] eta: 0:00:15 time: 0.0900 data_time: 0.0025 memory: 1054 2023/07/29 00:48:11 - mmengine - INFO - Epoch(test) [4800/4949] eta: 0:00:13 time: 0.0900 data_time: 0.0025 memory: 1054 2023/07/29 00:48:13 - mmengine - INFO - Epoch(test) [4820/4949] eta: 0:00:11 time: 0.0900 data_time: 0.0025 memory: 1054 2023/07/29 00:48:15 - mmengine - INFO - Epoch(test) [4840/4949] eta: 0:00:09 time: 0.0902 data_time: 0.0026 memory: 1054 2023/07/29 00:48:17 - mmengine - INFO - Epoch(test) [4860/4949] eta: 0:00:08 time: 0.0901 data_time: 0.0026 memory: 1054 2023/07/29 00:48:18 - mmengine - INFO - Epoch(test) [4880/4949] eta: 0:00:06 time: 0.0900 data_time: 0.0024 memory: 1054 2023/07/29 00:48:20 - mmengine - INFO - Epoch(test) [4900/4949] eta: 0:00:04 time: 0.0897 data_time: 0.0022 memory: 1054 2023/07/29 00:48:22 - mmengine - INFO - Epoch(test) [4920/4949] eta: 0:00:02 time: 0.0898 data_time: 0.0023 memory: 1054 2023/07/29 00:48:24 - mmengine - INFO - Epoch(test) [4940/4949] eta: 0:00:00 time: 0.0898 data_time: 0.0023 memory: 1054 2023/07/29 00:48:26 - mmengine - INFO - Epoch(test) [4949/4949] acc/top1: 0.7438 acc/top5: 0.9171 acc/mean1: 0.7437 data_time: 0.0027 time: 0.0905