2021-09-18 17:51:46,495 - mmaction - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0] CUDA available: True GPU 0,1,2,3,4,5,6,7: TITAN Xp CUDA_HOME: /usr/local/cuda NVCC: GCC: gcc (GCC) 7.3.1 20180303 (Red Hat 7.3.1-5) PyTorch: 1.9.0+cu102 PyTorch compiling details: PyTorch built with: - GCC 7.3 - 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 v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) - OpenMP 201511 (a.k.a. OpenMP 4.5) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 10.2 - 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 - CuDNN 7.6.5 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=10.2, CUDNN_VERSION=7.6.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -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 -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.0, 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, TorchVision: 0.10.0+cu102 OpenCV: 4.5.3 MMCV: 1.3.13 MMCV Compiler: GCC 7.3 MMCV CUDA Compiler: 10.2 MMAction2: 0.18.0+fa01496 ------------------------------------------------------------ 2021-09-18 17:51:46,495 - mmaction - INFO - Distributed training: True 2021-09-18 17:51:47,045 - mmaction - INFO - Config: model = dict( type='Recognizer3D', backbone=dict( type='ResNet3dSlowOnly', depth=50, pretrained=None, in_channels=17, base_channels=32, num_stages=3, out_indices=(2, ), stage_blocks=(3, 4, 6), conv1_stride_s=1, pool1_stride_s=1, inflate=(0, 1, 1), spatial_strides=(2, 2, 2), temporal_strides=(1, 1, 2), dilations=(1, 1, 1)), cls_head=dict( type='I3DHead', in_channels=512, num_classes=51, spatial_type='avg', dropout_ratio=0.5), train_cfg=dict(), test_cfg=dict(average_clips='prob')) dataset_type = 'PoseDataset' ann_file_train = 'data/posec3d/hmdb51_train1.pkl' ann_file_val = 'data/posec3d/hmdb51_val1.pkl' left_kp = [1, 3, 5, 7, 9, 11, 13, 15] right_kp = [2, 4, 6, 8, 10, 12, 14, 16] train_pipeline = [ dict(type='UniformSampleFrames', clip_len=48), dict(type='PoseDecode'), dict(type='PoseCompact', hw_ratio=1.0, allow_imgpad=True), dict(type='Resize', scale=(-1, 64)), dict(type='RandomResizedCrop', area_range=(0.56, 1.0)), dict(type='Resize', scale=(48, 48), keep_ratio=False), dict( type='Flip', flip_ratio=0.5, left_kp=[1, 3, 5, 7, 9, 11, 13, 15], right_kp=[2, 4, 6, 8, 10, 12, 14, 16]), dict( type='GeneratePoseTarget', sigma=0.6, use_score=True, with_kp=True, with_limb=False), dict(type='FormatShape', input_format='NCTHW'), dict(type='Collect', keys=['imgs', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['imgs', 'label']) ] val_pipeline = [ dict(type='UniformSampleFrames', clip_len=48, num_clips=1, test_mode=True), dict(type='PoseDecode'), dict(type='PoseCompact', hw_ratio=1.0, allow_imgpad=True), dict(type='Resize', scale=(-1, 56)), dict(type='CenterCrop', crop_size=56), dict( type='GeneratePoseTarget', sigma=0.6, use_score=True, with_kp=True, with_limb=False), dict(type='FormatShape', input_format='NCTHW'), dict(type='Collect', keys=['imgs', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['imgs']) ] test_pipeline = [ dict( type='UniformSampleFrames', clip_len=48, num_clips=10, test_mode=True), dict(type='PoseDecode'), dict(type='PoseCompact', hw_ratio=1.0, allow_imgpad=True), dict(type='Resize', scale=(-1, 56)), dict(type='CenterCrop', crop_size=56), dict( type='GeneratePoseTarget', sigma=0.6, use_score=True, with_kp=True, with_limb=False, double=True, left_kp=[1, 3, 5, 7, 9, 11, 13, 15], right_kp=[2, 4, 6, 8, 10, 12, 14, 16]), dict(type='FormatShape', input_format='NCTHW'), dict(type='Collect', keys=['imgs', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['imgs']) ] data = dict( videos_per_gpu=16, workers_per_gpu=2, test_dataloader=dict(videos_per_gpu=1), train=dict( type='RepeatDataset', times=10, dataset=dict( type='PoseDataset', ann_file='data/posec3d/hmdb51_train1.pkl', data_prefix='', pipeline=[ dict(type='UniformSampleFrames', clip_len=48), dict(type='PoseDecode'), dict(type='PoseCompact', hw_ratio=1.0, allow_imgpad=True), dict(type='Resize', scale=(-1, 64)), dict(type='RandomResizedCrop', area_range=(0.56, 1.0)), dict(type='Resize', scale=(48, 48), keep_ratio=False), dict( type='Flip', flip_ratio=0.5, left_kp=[1, 3, 5, 7, 9, 11, 13, 15], right_kp=[2, 4, 6, 8, 10, 12, 14, 16]), dict( type='GeneratePoseTarget', sigma=0.6, use_score=True, with_kp=True, with_limb=False), dict(type='FormatShape', input_format='NCTHW'), dict(type='Collect', keys=['imgs', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['imgs', 'label']) ])), val=dict( type='PoseDataset', ann_file='data/posec3d/hmdb51_val1.pkl', data_prefix='', pipeline=[ dict( type='UniformSampleFrames', clip_len=48, num_clips=1, test_mode=True), dict(type='PoseDecode'), dict(type='PoseCompact', hw_ratio=1.0, allow_imgpad=True), dict(type='Resize', scale=(-1, 56)), dict(type='CenterCrop', crop_size=56), dict( type='GeneratePoseTarget', sigma=0.6, use_score=True, with_kp=True, with_limb=False), dict(type='FormatShape', input_format='NCTHW'), dict(type='Collect', keys=['imgs', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['imgs']) ]), test=dict( type='PoseDataset', ann_file='data/posec3d/hmdb51_val1.pkl', data_prefix='', pipeline=[ dict( type='UniformSampleFrames', clip_len=48, num_clips=10, test_mode=True), dict(type='PoseDecode'), dict(type='PoseCompact', hw_ratio=1.0, allow_imgpad=True), dict(type='Resize', scale=(-1, 56)), dict(type='CenterCrop', crop_size=56), dict( type='GeneratePoseTarget', sigma=0.6, use_score=True, with_kp=True, with_limb=False, double=True, left_kp=[1, 3, 5, 7, 9, 11, 13, 15], right_kp=[2, 4, 6, 8, 10, 12, 14, 16]), dict(type='FormatShape', input_format='NCTHW'), dict(type='Collect', keys=['imgs', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['imgs']) ])) optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0001) optimizer_config = dict(grad_clip=dict(max_norm=40, norm_type=2)) lr_config = dict(policy='step', step=[9, 11]) total_epochs = 12 checkpoint_config = dict(interval=1) workflow = [('train', 1)] evaluation = dict( interval=1, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5)) log_config = dict(interval=20, hooks=[dict(type='TextLoggerHook')]) dist_params = dict(backend='nccl') log_level = 'INFO' load_from = 'k400_slowonly346.pth' resume_from = None find_unused_parameters = True work_dir = './work_dirs/posec3d_iclr/slowonly_r50_346_finetune_u48_step_120e_hmdb51_keypoint_search_optimizer.lr_0.01_optimizer.weight_decay_0.0001' gpu_ids = range(0, 8) omnisource = False module_hooks = [] 2021-09-18 17:51:47,627 - mmaction - INFO - 3570 videos remain after valid thresholding 2021-09-18 17:51:53,455 - mmaction - INFO - 1530 videos remain after valid thresholding 2021-09-18 17:51:53,457 - mmaction - INFO - load checkpoint from k400_slowonly346.pth 2021-09-18 17:51:53,457 - mmaction - INFO - Use load_from_local loader 2021-09-18 17:51:53,498 - mmaction - WARNING - The model and loaded state dict do not match exactly missing keys in source state_dict: cls_head.fc_cls.weight, cls_head.fc_cls.bias 2021-09-18 17:51:53,498 - mmaction - INFO - Start running, host: duanhaodong@BJ-IDC1-10-53-21-15, work_dir: /mnt/ssd2/dhd/mmaction2/work_dirs/posec3d_iclr/slowonly_r50_346_finetune_u48_step_120e_hmdb51_keypoint_search_optimizer.lr_0.01_optimizer.weight_decay_0.0001 2021-09-18 17:51:53,499 - mmaction - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) StepLrUpdaterHook (NORMAL ) CheckpointHook (NORMAL ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_epoch: (VERY_HIGH ) StepLrUpdaterHook (NORMAL ) DistSamplerSeedHook (NORMAL ) DistEvalHook (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- before_train_iter: (VERY_HIGH ) StepLrUpdaterHook (NORMAL ) DistEvalHook (LOW ) IterTimerHook -------------------- after_train_iter: (ABOVE_NORMAL) OptimizerHook (NORMAL ) CheckpointHook (NORMAL ) DistEvalHook (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- after_train_epoch: (NORMAL ) CheckpointHook (NORMAL ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_val_epoch: (NORMAL ) DistSamplerSeedHook (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- before_val_iter: (LOW ) IterTimerHook -------------------- after_val_iter: (LOW ) IterTimerHook -------------------- after_val_epoch: (VERY_LOW ) TextLoggerHook -------------------- 2021-09-18 17:51:53,499 - mmaction - INFO - workflow: [('train', 1)], max: 12 epochs 2021-09-18 17:52:38,218 - mmaction - INFO - Epoch [1][20/279] lr: 1.000e-02, eta: 2:04:00, time: 2.236, data_time: 1.197, memory: 5975, top1_acc: 0.1383, top5_acc: 0.3332, loss_cls: 3.6776, loss: 3.6776, grad_norm: 1.9297 2021-09-18 17:53:02,185 - mmaction - INFO - Epoch [1][40/279] lr: 1.000e-02, eta: 1:34:40, time: 1.198, data_time: 0.048, memory: 5975, top1_acc: 0.4000, top5_acc: 0.6840, loss_cls: 2.6871, loss: 2.6871, grad_norm: 1.9991 2021-09-18 17:53:23,766 - mmaction - INFO - Epoch [1][60/279] lr: 1.000e-02, eta: 1:22:25, time: 1.079, data_time: 0.347, memory: 5975, top1_acc: 0.5293, top5_acc: 0.8129, loss_cls: 1.9399, loss: 1.9399, grad_norm: 1.9939 2021-09-18 17:53:46,150 - mmaction - INFO - Epoch [1][80/279] lr: 1.000e-02, eta: 1:16:41, time: 1.120, data_time: 0.001, memory: 5975, top1_acc: 0.6141, top5_acc: 0.8789, loss_cls: 1.5791, loss: 1.5791, grad_norm: 2.1436 2021-09-18 17:54:09,729 - mmaction - INFO - Epoch [1][100/279] lr: 1.000e-02, eta: 1:13:44, time: 1.178, data_time: 0.057, memory: 5975, top1_acc: 0.6723, top5_acc: 0.9184, loss_cls: 1.2957, loss: 1.2957, grad_norm: 2.2637 2021-09-18 17:54:31,313 - mmaction - INFO - Epoch [1][120/279] lr: 1.000e-02, eta: 1:10:43, time: 1.077, data_time: 0.032, memory: 5975, top1_acc: 0.6820, top5_acc: 0.9203, loss_cls: 1.1744, loss: 1.1744, grad_norm: 2.4660 2021-09-18 17:54:53,988 - mmaction - INFO - Epoch [1][140/279] lr: 1.000e-02, eta: 1:08:54, time: 1.133, data_time: 0.079, memory: 5975, top1_acc: 0.7324, top5_acc: 0.9398, loss_cls: 0.9897, loss: 0.9897, grad_norm: 2.3950 2021-09-18 17:55:16,038 - mmaction - INFO - Epoch [1][160/279] lr: 1.000e-02, eta: 1:07:14, time: 1.103, data_time: 0.009, memory: 5975, top1_acc: 0.7297, top5_acc: 0.9418, loss_cls: 0.9707, loss: 0.9707, grad_norm: 2.5371 2021-09-18 17:55:38,411 - mmaction - INFO - Epoch [1][180/279] lr: 1.000e-02, eta: 1:05:58, time: 1.120, data_time: 0.002, memory: 5975, top1_acc: 0.7672, top5_acc: 0.9523, loss_cls: 0.8436, loss: 0.8436, grad_norm: 2.5739 2021-09-18 17:56:02,158 - mmaction - INFO - Epoch [1][200/279] lr: 1.000e-02, eta: 1:05:13, time: 1.188, data_time: 0.001, memory: 5975, top1_acc: 0.7672, top5_acc: 0.9559, loss_cls: 0.8168, loss: 0.8168, grad_norm: 2.6674 2021-09-18 17:56:23,699 - mmaction - INFO - Epoch [1][220/279] lr: 1.000e-02, eta: 1:04:00, time: 1.074, data_time: 0.086, memory: 5975, top1_acc: 0.7867, top5_acc: 0.9527, loss_cls: 0.7619, loss: 0.7619, grad_norm: 2.7107 2021-09-18 17:56:45,909 - mmaction - INFO - Epoch [1][240/279] lr: 1.000e-02, eta: 1:03:06, time: 1.113, data_time: 0.030, memory: 5975, top1_acc: 0.8137, top5_acc: 0.9730, loss_cls: 0.6820, loss: 0.6820, grad_norm: 2.7670 2021-09-18 17:57:09,430 - mmaction - INFO - Epoch [1][260/279] lr: 1.000e-02, eta: 1:02:32, time: 1.176, data_time: 0.001, memory: 5975, top1_acc: 0.8145, top5_acc: 0.9699, loss_cls: 0.6496, loss: 0.6496, grad_norm: 2.7604 2021-09-18 17:57:30,338 - mmaction - INFO - Saving checkpoint at 1 epochs 2021-09-18 17:58:04,202 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-09-18 17:58:04,209 - mmaction - INFO - top1_acc 0.6732 top5_acc 0.9176 2021-09-18 17:58:04,210 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-09-18 17:58:04,211 - mmaction - INFO - mean_acc 0.6732 2021-09-18 17:58:04,270 - mmaction - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. 2021-09-18 17:58:04,270 - mmaction - INFO - Best top1_acc is 0.6732 at 1 epoch. 2021-09-18 17:58:04,270 - mmaction - INFO - Epoch(val) [1][12] top1_acc: 0.6732, top5_acc: 0.9176, mean_class_accuracy: 0.6732 2021-09-18 17:58:29,840 - mmaction - INFO - Epoch [2][20/279] lr: 1.000e-02, eta: 0:58:02, time: 1.278, data_time: 0.165, memory: 5975, top1_acc: 0.8559, top5_acc: 0.9812, loss_cls: 0.5210, loss: 0.5210, grad_norm: 2.7139 2021-09-18 17:58:52,079 - mmaction - INFO - Epoch [2][40/279] lr: 1.000e-02, eta: 0:57:33, time: 1.111, data_time: 0.005, memory: 5975, top1_acc: 0.8680, top5_acc: 0.9805, loss_cls: 0.4930, loss: 0.4930, grad_norm: 2.6500 2021-09-18 17:59:14,576 - mmaction - INFO - Epoch [2][60/279] lr: 1.000e-02, eta: 0:57:08, time: 1.125, data_time: 0.002, memory: 5975, top1_acc: 0.8660, top5_acc: 0.9887, loss_cls: 0.4711, loss: 0.4711, grad_norm: 2.6938 2021-09-18 17:59:36,970 - mmaction - INFO - Epoch [2][80/279] lr: 1.000e-02, eta: 0:56:42, time: 1.121, data_time: 0.001, memory: 5975, top1_acc: 0.8789, top5_acc: 0.9863, loss_cls: 0.4347, loss: 0.4347, grad_norm: 2.8070 2021-09-18 17:59:59,209 - mmaction - INFO - Epoch [2][100/279] lr: 1.000e-02, eta: 0:56:15, time: 1.111, data_time: 0.194, memory: 5975, top1_acc: 0.8902, top5_acc: 0.9898, loss_cls: 0.3969, loss: 0.3969, grad_norm: 2.6183 2021-09-18 18:00:21,893 - mmaction - INFO - Epoch [2][120/279] lr: 1.000e-02, eta: 0:55:52, time: 1.135, data_time: 0.283, memory: 5975, top1_acc: 0.8973, top5_acc: 0.9922, loss_cls: 0.3801, loss: 0.3801, grad_norm: 2.8256 2021-09-18 18:00:44,965 - mmaction - INFO - Epoch [2][140/279] lr: 1.000e-02, eta: 0:55:31, time: 1.152, data_time: 0.615, memory: 5975, top1_acc: 0.9062, top5_acc: 0.9918, loss_cls: 0.3375, loss: 0.3375, grad_norm: 2.7341 2021-09-18 18:01:07,825 - mmaction - INFO - Epoch [2][160/279] lr: 1.000e-02, eta: 0:55:09, time: 1.144, data_time: 0.503, memory: 5975, top1_acc: 0.9059, top5_acc: 0.9941, loss_cls: 0.3370, loss: 0.3370, grad_norm: 2.7020 2021-09-18 18:01:29,977 - mmaction - INFO - Epoch [2][180/279] lr: 1.000e-02, eta: 0:54:43, time: 1.108, data_time: 0.001, memory: 5975, top1_acc: 0.9094, top5_acc: 0.9902, loss_cls: 0.3319, loss: 0.3319, grad_norm: 2.7033 2021-09-18 18:01:53,377 - mmaction - INFO - Epoch [2][200/279] lr: 1.000e-02, eta: 0:54:24, time: 1.170, data_time: 0.001, memory: 5975, top1_acc: 0.9258, top5_acc: 0.9945, loss_cls: 0.2831, loss: 0.2831, grad_norm: 2.5676 2021-09-18 18:02:16,082 - mmaction - INFO - Epoch [2][220/279] lr: 1.000e-02, eta: 0:54:01, time: 1.136, data_time: 0.001, memory: 5975, top1_acc: 0.9191, top5_acc: 0.9957, loss_cls: 0.2957, loss: 0.2957, grad_norm: 2.7798 2021-09-18 18:02:39,683 - mmaction - INFO - Epoch [2][240/279] lr: 1.000e-02, eta: 0:53:43, time: 1.180, data_time: 0.000, memory: 5975, top1_acc: 0.9332, top5_acc: 0.9953, loss_cls: 0.2696, loss: 0.2696, grad_norm: 2.5237 2021-09-18 18:03:03,978 - mmaction - INFO - Epoch [2][260/279] lr: 1.000e-02, eta: 0:53:28, time: 1.214, data_time: 0.001, memory: 5975, top1_acc: 0.9352, top5_acc: 0.9953, loss_cls: 0.2589, loss: 0.2589, grad_norm: 2.5689 2021-09-18 18:03:25,973 - mmaction - INFO - Saving checkpoint at 2 epochs 2021-09-18 18:03:41,084 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-09-18 18:03:41,091 - mmaction - INFO - top1_acc 0.6405 top5_acc 0.9111 2021-09-18 18:03:41,091 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-09-18 18:03:41,092 - mmaction - INFO - mean_acc 0.6405 2021-09-18 18:03:41,093 - mmaction - INFO - Epoch(val) [2][12] top1_acc: 0.6405, top5_acc: 0.9111, mean_class_accuracy: 0.6405 2021-09-18 18:04:06,571 - mmaction - INFO - Epoch [3][20/279] lr: 1.000e-02, eta: 0:51:12, time: 1.273, data_time: 0.462, memory: 5975, top1_acc: 0.9492, top5_acc: 0.9980, loss_cls: 0.2107, loss: 0.2107, grad_norm: 2.4945 2021-09-18 18:04:29,749 - mmaction - INFO - Epoch [3][40/279] lr: 1.000e-02, eta: 0:50:54, time: 1.159, data_time: 0.034, memory: 5975, top1_acc: 0.9543, top5_acc: 0.9980, loss_cls: 0.1990, loss: 0.1990, grad_norm: 2.4183 2021-09-18 18:04:54,842 - mmaction - INFO - Epoch [3][60/279] lr: 1.000e-02, eta: 0:50:45, time: 1.255, data_time: 0.001, memory: 5975, top1_acc: 0.9535, top5_acc: 0.9980, loss_cls: 0.1883, loss: 0.1883, grad_norm: 2.4396 2021-09-18 18:05:17,621 - mmaction - INFO - Epoch [3][80/279] lr: 1.000e-02, eta: 0:50:24, time: 1.139, data_time: 0.001, memory: 5975, top1_acc: 0.9496, top5_acc: 0.9965, loss_cls: 0.1978, loss: 0.1978, grad_norm: 2.4305 2021-09-18 18:05:40,419 - mmaction - INFO - Epoch [3][100/279] lr: 1.000e-02, eta: 0:50:04, time: 1.139, data_time: 0.193, memory: 5975, top1_acc: 0.9613, top5_acc: 0.9984, loss_cls: 0.1735, loss: 0.1735, grad_norm: 2.4425 2021-09-18 18:06:02,650 - mmaction - INFO - Epoch [3][120/279] lr: 1.000e-02, eta: 0:49:41, time: 1.113, data_time: 0.002, memory: 5975, top1_acc: 0.9652, top5_acc: 0.9980, loss_cls: 0.1596, loss: 0.1596, grad_norm: 2.2824 2021-09-18 18:06:26,067 - mmaction - INFO - Epoch [3][140/279] lr: 1.000e-02, eta: 0:49:23, time: 1.171, data_time: 0.139, memory: 5975, top1_acc: 0.9715, top5_acc: 0.9980, loss_cls: 0.1408, loss: 0.1408, grad_norm: 2.0925 2021-09-18 18:06:47,699 - mmaction - INFO - Epoch [3][160/279] lr: 1.000e-02, eta: 0:48:58, time: 1.080, data_time: 0.376, memory: 5975, top1_acc: 0.9613, top5_acc: 0.9977, loss_cls: 0.1623, loss: 0.1623, grad_norm: 2.5214 2021-09-18 18:07:11,656 - mmaction - INFO - Epoch [3][180/279] lr: 1.000e-02, eta: 0:48:41, time: 1.197, data_time: 0.007, memory: 5975, top1_acc: 0.9645, top5_acc: 0.9984, loss_cls: 0.1485, loss: 0.1485, grad_norm: 2.2955 2021-09-18 18:07:35,148 - mmaction - INFO - Epoch [3][200/279] lr: 1.000e-02, eta: 0:48:23, time: 1.176, data_time: 0.002, memory: 5975, top1_acc: 0.9711, top5_acc: 1.0000, loss_cls: 0.1332, loss: 0.1332, grad_norm: 2.3021 2021-09-18 18:07:56,987 - mmaction - INFO - Epoch [3][220/279] lr: 1.000e-02, eta: 0:47:58, time: 1.092, data_time: 0.001, memory: 5975, top1_acc: 0.9742, top5_acc: 0.9988, loss_cls: 0.1179, loss: 0.1179, grad_norm: 2.0991 2021-09-18 18:08:18,769 - mmaction - INFO - Epoch [3][240/279] lr: 1.000e-02, eta: 0:47:34, time: 1.089, data_time: 0.024, memory: 5975, top1_acc: 0.9730, top5_acc: 0.9988, loss_cls: 0.1224, loss: 0.1224, grad_norm: 2.2478 2021-09-18 18:08:41,203 - mmaction - INFO - Epoch [3][260/279] lr: 1.000e-02, eta: 0:47:12, time: 1.122, data_time: 0.026, memory: 5975, top1_acc: 0.9746, top5_acc: 0.9988, loss_cls: 0.1095, loss: 0.1095, grad_norm: 2.1724 2021-09-18 18:09:00,626 - mmaction - INFO - Saving checkpoint at 3 epochs 2021-09-18 18:09:15,672 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-09-18 18:09:15,678 - mmaction - INFO - top1_acc 0.6549 top5_acc 0.9013 2021-09-18 18:09:15,678 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-09-18 18:09:15,680 - mmaction - INFO - mean_acc 0.6549 2021-09-18 18:09:15,680 - mmaction - INFO - Epoch(val) [3][12] top1_acc: 0.6549, top5_acc: 0.9013, mean_class_accuracy: 0.6549 2021-09-18 18:09:40,607 - mmaction - INFO - Epoch [4][20/279] lr: 1.000e-02, eta: 0:45:33, time: 1.245, data_time: 0.301, memory: 5975, top1_acc: 0.9793, top5_acc: 0.9992, loss_cls: 0.0945, loss: 0.0945, grad_norm: 1.9722 2021-09-18 18:10:04,382 - mmaction - INFO - Epoch [4][40/279] lr: 1.000e-02, eta: 0:45:17, time: 1.189, data_time: 0.031, memory: 5975, top1_acc: 0.9785, top5_acc: 0.9996, loss_cls: 0.0969, loss: 0.0969, grad_norm: 1.9390 2021-09-18 18:10:26,319 - mmaction - INFO - Epoch [4][60/279] lr: 1.000e-02, eta: 0:44:55, time: 1.098, data_time: 0.005, memory: 5975, top1_acc: 0.9754, top5_acc: 0.9992, loss_cls: 0.1014, loss: 0.1014, grad_norm: 2.0261 2021-09-18 18:10:48,689 - mmaction - INFO - Epoch [4][80/279] lr: 1.000e-02, eta: 0:44:34, time: 1.119, data_time: 0.019, memory: 5975, top1_acc: 0.9828, top5_acc: 0.9996, loss_cls: 0.0848, loss: 0.0848, grad_norm: 1.7659 2021-09-18 18:11:10,521 - mmaction - INFO - Epoch [4][100/279] lr: 1.000e-02, eta: 0:44:11, time: 1.091, data_time: 0.011, memory: 5975, top1_acc: 0.9852, top5_acc: 0.9992, loss_cls: 0.0783, loss: 0.0783, grad_norm: 1.6584 2021-09-18 18:11:31,897 - mmaction - INFO - Epoch [4][120/279] lr: 1.000e-02, eta: 0:43:48, time: 1.069, data_time: 0.027, memory: 5975, top1_acc: 0.9824, top5_acc: 0.9973, loss_cls: 0.0911, loss: 0.0911, grad_norm: 1.7934 2021-09-18 18:11:55,487 - mmaction - INFO - Epoch [4][140/279] lr: 1.000e-02, eta: 0:43:30, time: 1.179, data_time: 0.019, memory: 5975, top1_acc: 0.9770, top5_acc: 0.9988, loss_cls: 0.0947, loss: 0.0947, grad_norm: 2.1403 2021-09-18 18:12:17,443 - mmaction - INFO - Epoch [4][160/279] lr: 1.000e-02, eta: 0:43:07, time: 1.097, data_time: 0.032, memory: 5975, top1_acc: 0.9816, top5_acc: 0.9996, loss_cls: 0.0850, loss: 0.0850, grad_norm: 1.9348 2021-09-18 18:12:40,652 - mmaction - INFO - Epoch [4][180/279] lr: 1.000e-02, eta: 0:42:48, time: 1.161, data_time: 0.002, memory: 5975, top1_acc: 0.9848, top5_acc: 0.9988, loss_cls: 0.0750, loss: 0.0750, grad_norm: 1.7289 2021-09-18 18:13:01,973 - mmaction - INFO - Epoch [4][200/279] lr: 1.000e-02, eta: 0:42:24, time: 1.066, data_time: 0.014, memory: 5975, top1_acc: 0.9801, top5_acc: 0.9984, loss_cls: 0.0939, loss: 0.0939, grad_norm: 2.0551 2021-09-18 18:13:24,367 - mmaction - INFO - Epoch [4][220/279] lr: 1.000e-02, eta: 0:42:03, time: 1.119, data_time: 0.001, memory: 5975, top1_acc: 0.9797, top5_acc: 0.9996, loss_cls: 0.0802, loss: 0.0802, grad_norm: 2.0988 2021-09-18 18:13:47,746 - mmaction - INFO - Epoch [4][240/279] lr: 1.000e-02, eta: 0:41:44, time: 1.169, data_time: 0.001, memory: 5975, top1_acc: 0.9855, top5_acc: 0.9984, loss_cls: 0.0775, loss: 0.0775, grad_norm: 1.8492 2021-09-18 18:14:09,454 - mmaction - INFO - Epoch [4][260/279] lr: 1.000e-02, eta: 0:41:21, time: 1.086, data_time: 0.001, memory: 5975, top1_acc: 0.9867, top5_acc: 0.9992, loss_cls: 0.0706, loss: 0.0706, grad_norm: 1.7789 2021-09-18 18:14:29,961 - mmaction - INFO - Saving checkpoint at 4 epochs 2021-09-18 18:14:45,409 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-09-18 18:14:45,416 - mmaction - INFO - top1_acc 0.6634 top5_acc 0.9000 2021-09-18 18:14:45,416 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-09-18 18:14:45,418 - mmaction - INFO - mean_acc 0.6634 2021-09-18 18:14:45,418 - mmaction - INFO - Epoch(val) [4][12] top1_acc: 0.6634, top5_acc: 0.9000, mean_class_accuracy: 0.6634 2021-09-18 18:15:11,014 - mmaction - INFO - Epoch [5][20/279] lr: 1.000e-02, eta: 0:40:04, time: 1.278, data_time: 0.584, memory: 5975, top1_acc: 0.9875, top5_acc: 0.9996, loss_cls: 0.0663, loss: 0.0663, grad_norm: 1.8358 2021-09-18 18:15:34,335 - mmaction - INFO - Epoch [5][40/279] lr: 1.000e-02, eta: 0:39:46, time: 1.167, data_time: 0.488, memory: 5975, top1_acc: 0.9863, top5_acc: 0.9992, loss_cls: 0.0691, loss: 0.0691, grad_norm: 1.9147 2021-09-18 18:15:55,987 - mmaction - INFO - Epoch [5][60/279] lr: 1.000e-02, eta: 0:39:24, time: 1.081, data_time: 0.245, memory: 5975, top1_acc: 0.9875, top5_acc: 0.9992, loss_cls: 0.0632, loss: 0.0632, grad_norm: 1.7198 2021-09-18 18:16:18,292 - mmaction - INFO - Epoch [5][80/279] lr: 1.000e-02, eta: 0:39:03, time: 1.117, data_time: 0.030, memory: 5975, top1_acc: 0.9859, top5_acc: 0.9996, loss_cls: 0.0713, loss: 0.0713, grad_norm: 1.8244 2021-09-18 18:16:41,286 - mmaction - INFO - Epoch [5][100/279] lr: 1.000e-02, eta: 0:38:43, time: 1.150, data_time: 0.035, memory: 5975, top1_acc: 0.9840, top5_acc: 0.9992, loss_cls: 0.0751, loss: 0.0751, grad_norm: 1.9556 2021-09-18 18:17:04,331 - mmaction - INFO - Epoch [5][120/279] lr: 1.000e-02, eta: 0:38:24, time: 1.152, data_time: 0.171, memory: 5975, top1_acc: 0.9840, top5_acc: 0.9996, loss_cls: 0.0714, loss: 0.0714, grad_norm: 2.0700 2021-09-18 18:17:27,127 - mmaction - INFO - Epoch [5][140/279] lr: 1.000e-02, eta: 0:38:03, time: 1.140, data_time: 0.077, memory: 5975, top1_acc: 0.9840, top5_acc: 0.9992, loss_cls: 0.0754, loss: 0.0754, grad_norm: 2.0197 2021-09-18 18:17:48,292 - mmaction - INFO - Epoch [5][160/279] lr: 1.000e-02, eta: 0:37:40, time: 1.058, data_time: 0.001, memory: 5975, top1_acc: 0.9879, top5_acc: 0.9992, loss_cls: 0.0633, loss: 0.0633, grad_norm: 1.8578 2021-09-18 18:18:09,393 - mmaction - INFO - Epoch [5][180/279] lr: 1.000e-02, eta: 0:37:17, time: 1.055, data_time: 0.093, memory: 5975, top1_acc: 0.9863, top5_acc: 0.9996, loss_cls: 0.0635, loss: 0.0635, grad_norm: 1.8932 2021-09-18 18:18:33,425 - mmaction - INFO - Epoch [5][200/279] lr: 1.000e-02, eta: 0:36:59, time: 1.202, data_time: 0.001, memory: 5975, top1_acc: 0.9863, top5_acc: 0.9996, loss_cls: 0.0631, loss: 0.0631, grad_norm: 1.9906 2021-09-18 18:18:55,751 - mmaction - INFO - Epoch [5][220/279] lr: 1.000e-02, eta: 0:36:38, time: 1.114, data_time: 0.000, memory: 5975, top1_acc: 0.9840, top5_acc: 0.9988, loss_cls: 0.0697, loss: 0.0697, grad_norm: 2.0917 2021-09-18 18:19:18,043 - mmaction - INFO - Epoch [5][240/279] lr: 1.000e-02, eta: 0:36:17, time: 1.117, data_time: 0.185, memory: 5975, top1_acc: 0.9855, top5_acc: 0.9988, loss_cls: 0.0687, loss: 0.0687, grad_norm: 1.7113 2021-09-18 18:19:39,863 - mmaction - INFO - Epoch [5][260/279] lr: 1.000e-02, eta: 0:35:55, time: 1.091, data_time: 0.006, memory: 5975, top1_acc: 0.9836, top5_acc: 1.0000, loss_cls: 0.0654, loss: 0.0654, grad_norm: 1.9758 2021-09-18 18:20:00,904 - mmaction - INFO - Saving checkpoint at 5 epochs 2021-09-18 18:20:16,184 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-09-18 18:20:16,192 - mmaction - INFO - top1_acc 0.6444 top5_acc 0.8732 2021-09-18 18:20:16,192 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-09-18 18:20:16,194 - mmaction - INFO - mean_acc 0.6444 2021-09-18 18:20:16,194 - mmaction - INFO - Epoch(val) [5][12] top1_acc: 0.6444, top5_acc: 0.8732, mean_class_accuracy: 0.6444 2021-09-18 18:20:42,039 - mmaction - INFO - Epoch [6][20/279] lr: 1.000e-02, eta: 0:34:49, time: 1.292, data_time: 0.457, memory: 5975, top1_acc: 0.9879, top5_acc: 0.9996, loss_cls: 0.0577, loss: 0.0577, grad_norm: 1.9044 2021-09-18 18:21:05,172 - mmaction - INFO - Epoch [6][40/279] lr: 1.000e-02, eta: 0:34:30, time: 1.157, data_time: 0.027, memory: 5975, top1_acc: 0.9859, top5_acc: 0.9988, loss_cls: 0.0594, loss: 0.0594, grad_norm: 1.9129 2021-09-18 18:21:28,180 - mmaction - INFO - Epoch [6][60/279] lr: 1.000e-02, eta: 0:34:10, time: 1.151, data_time: 0.003, memory: 5975, top1_acc: 0.9895, top5_acc: 0.9992, loss_cls: 0.0529, loss: 0.0529, grad_norm: 1.5178 2021-09-18 18:21:49,841 - mmaction - INFO - Epoch [6][80/279] lr: 1.000e-02, eta: 0:33:48, time: 1.083, data_time: 0.021, memory: 5975, top1_acc: 0.9828, top5_acc: 0.9984, loss_cls: 0.0704, loss: 0.0704, grad_norm: 1.9008 2021-09-18 18:22:12,708 - mmaction - INFO - Epoch [6][100/279] lr: 1.000e-02, eta: 0:33:28, time: 1.143, data_time: 0.001, memory: 5975, top1_acc: 0.9914, top5_acc: 0.9988, loss_cls: 0.0468, loss: 0.0468, grad_norm: 1.4419 2021-09-18 18:22:34,500 - mmaction - INFO - Epoch [6][120/279] lr: 1.000e-02, eta: 0:33:06, time: 1.090, data_time: 0.006, memory: 5975, top1_acc: 0.9898, top5_acc: 0.9996, loss_cls: 0.0501, loss: 0.0501, grad_norm: 1.7108 2021-09-18 18:22:56,983 - mmaction - INFO - Epoch [6][140/279] lr: 1.000e-02, eta: 0:32:46, time: 1.122, data_time: 0.001, memory: 5975, top1_acc: 0.9891, top5_acc: 0.9992, loss_cls: 0.0505, loss: 0.0505, grad_norm: 1.8208 2021-09-18 18:23:17,716 - mmaction - INFO - Epoch [6][160/279] lr: 1.000e-02, eta: 0:32:23, time: 1.038, data_time: 0.003, memory: 5975, top1_acc: 0.9871, top5_acc: 1.0000, loss_cls: 0.0489, loss: 0.0489, grad_norm: 1.6746 2021-09-18 18:23:41,288 - mmaction - INFO - Epoch [6][180/279] lr: 1.000e-02, eta: 0:32:03, time: 1.179, data_time: 0.332, memory: 5975, top1_acc: 0.9891, top5_acc: 0.9992, loss_cls: 0.0484, loss: 0.0484, grad_norm: 1.5311 2021-09-18 18:24:05,125 - mmaction - INFO - Epoch [6][200/279] lr: 1.000e-02, eta: 0:31:44, time: 1.191, data_time: 0.305, memory: 5975, top1_acc: 0.9879, top5_acc: 0.9996, loss_cls: 0.0557, loss: 0.0557, grad_norm: 1.9189 2021-09-18 18:24:26,841 - mmaction - INFO - Epoch [6][220/279] lr: 1.000e-02, eta: 0:31:22, time: 1.086, data_time: 0.001, memory: 5975, top1_acc: 0.9879, top5_acc: 0.9996, loss_cls: 0.0536, loss: 0.0536, grad_norm: 1.6973 2021-09-18 18:24:47,900 - mmaction - INFO - Epoch [6][240/279] lr: 1.000e-02, eta: 0:31:00, time: 1.053, data_time: 0.037, memory: 5975, top1_acc: 0.9898, top5_acc: 0.9996, loss_cls: 0.0591, loss: 0.0591, grad_norm: 1.7090 2021-09-18 18:25:10,550 - mmaction - INFO - Epoch [6][260/279] lr: 1.000e-02, eta: 0:30:39, time: 1.133, data_time: 0.410, memory: 5975, top1_acc: 0.9883, top5_acc: 0.9996, loss_cls: 0.0515, loss: 0.0515, grad_norm: 1.6983 2021-09-18 18:25:31,334 - mmaction - INFO - Saving checkpoint at 6 epochs 2021-09-18 18:25:46,564 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-09-18 18:25:46,571 - mmaction - INFO - top1_acc 0.6667 top5_acc 0.8987 2021-09-18 18:25:46,571 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-09-18 18:25:46,573 - mmaction - INFO - mean_acc 0.6667 2021-09-18 18:25:46,574 - mmaction - INFO - Epoch(val) [6][12] top1_acc: 0.6667, top5_acc: 0.8987, mean_class_accuracy: 0.6667 2021-09-18 18:26:13,531 - mmaction - INFO - Epoch [7][20/279] lr: 1.000e-02, eta: 0:29:42, time: 1.347, data_time: 0.189, memory: 5975, top1_acc: 0.9922, top5_acc: 0.9992, loss_cls: 0.0390, loss: 0.0390, grad_norm: 1.3062 2021-09-18 18:26:36,436 - mmaction - INFO - Epoch [7][40/279] lr: 1.000e-02, eta: 0:29:21, time: 1.144, data_time: 0.001, memory: 5975, top1_acc: 0.9918, top5_acc: 0.9996, loss_cls: 0.0390, loss: 0.0390, grad_norm: 1.3740 2021-09-18 18:26:58,428 - mmaction - INFO - Epoch [7][60/279] lr: 1.000e-02, eta: 0:29:00, time: 1.101, data_time: 0.002, memory: 5975, top1_acc: 0.9930, top5_acc: 1.0000, loss_cls: 0.0367, loss: 0.0367, grad_norm: 1.3337 2021-09-18 18:27:20,737 - mmaction - INFO - Epoch [7][80/279] lr: 1.000e-02, eta: 0:28:39, time: 1.115, data_time: 0.000, memory: 5975, top1_acc: 0.9883, top5_acc: 0.9996, loss_cls: 0.0454, loss: 0.0454, grad_norm: 1.5196 2021-09-18 18:27:43,853 - mmaction - INFO - Epoch [7][100/279] lr: 1.000e-02, eta: 0:28:19, time: 1.156, data_time: 0.048, memory: 5975, top1_acc: 0.9875, top5_acc: 0.9977, loss_cls: 0.0543, loss: 0.0543, grad_norm: 1.6340 2021-09-18 18:28:04,783 - mmaction - INFO - Epoch [7][120/279] lr: 1.000e-02, eta: 0:27:57, time: 1.047, data_time: 0.005, memory: 5975, top1_acc: 0.9910, top5_acc: 0.9996, loss_cls: 0.0376, loss: 0.0376, grad_norm: 1.5546 2021-09-18 18:28:27,015 - mmaction - INFO - Epoch [7][140/279] lr: 1.000e-02, eta: 0:27:36, time: 1.111, data_time: 0.017, memory: 5975, top1_acc: 0.9902, top5_acc: 1.0000, loss_cls: 0.0425, loss: 0.0425, grad_norm: 1.8040 2021-09-18 18:28:50,290 - mmaction - INFO - Epoch [7][160/279] lr: 1.000e-02, eta: 0:27:16, time: 1.164, data_time: 0.001, memory: 5975, top1_acc: 0.9914, top5_acc: 1.0000, loss_cls: 0.0395, loss: 0.0395, grad_norm: 1.4301 2021-09-18 18:29:11,560 - mmaction - INFO - Epoch [7][180/279] lr: 1.000e-02, eta: 0:26:54, time: 1.061, data_time: 0.001, memory: 5975, top1_acc: 0.9934, top5_acc: 0.9992, loss_cls: 0.0417, loss: 0.0417, grad_norm: 1.4053 2021-09-18 18:29:34,114 - mmaction - INFO - Epoch [7][200/279] lr: 1.000e-02, eta: 0:26:33, time: 1.130, data_time: 0.003, memory: 5975, top1_acc: 0.9863, top5_acc: 0.9992, loss_cls: 0.0539, loss: 0.0539, grad_norm: 1.8195 2021-09-18 18:29:56,793 - mmaction - INFO - Epoch [7][220/279] lr: 1.000e-02, eta: 0:26:12, time: 1.134, data_time: 0.164, memory: 5975, top1_acc: 0.9934, top5_acc: 0.9992, loss_cls: 0.0401, loss: 0.0401, grad_norm: 1.4094 2021-09-18 18:30:18,792 - mmaction - INFO - Epoch [7][240/279] lr: 1.000e-02, eta: 0:25:51, time: 1.100, data_time: 0.177, memory: 5975, top1_acc: 0.9898, top5_acc: 0.9984, loss_cls: 0.0439, loss: 0.0439, grad_norm: 1.6909 2021-09-18 18:30:42,558 - mmaction - INFO - Epoch [7][260/279] lr: 1.000e-02, eta: 0:25:31, time: 1.188, data_time: 0.001, memory: 5975, top1_acc: 0.9898, top5_acc: 0.9984, loss_cls: 0.0492, loss: 0.0492, grad_norm: 1.7424 2021-09-18 18:31:03,421 - mmaction - INFO - Saving checkpoint at 7 epochs 2021-09-18 18:31:18,530 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-09-18 18:31:18,536 - mmaction - INFO - top1_acc 0.6693 top5_acc 0.9039 2021-09-18 18:31:18,536 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-09-18 18:31:18,538 - mmaction - INFO - mean_acc 0.6693 2021-09-18 18:31:18,538 - mmaction - INFO - Epoch(val) [7][12] top1_acc: 0.6693, top5_acc: 0.9039, mean_class_accuracy: 0.6693 2021-09-18 18:31:45,235 - mmaction - INFO - Epoch [8][20/279] lr: 1.000e-02, eta: 0:24:38, time: 1.333, data_time: 0.655, memory: 5975, top1_acc: 0.9938, top5_acc: 0.9996, loss_cls: 0.0353, loss: 0.0353, grad_norm: 1.2958 2021-09-18 18:32:08,165 - mmaction - INFO - Epoch [8][40/279] lr: 1.000e-02, eta: 0:24:17, time: 1.148, data_time: 0.471, memory: 5975, top1_acc: 0.9938, top5_acc: 0.9996, loss_cls: 0.0313, loss: 0.0313, grad_norm: 1.2701 2021-09-18 18:32:30,590 - mmaction - INFO - Epoch [8][60/279] lr: 1.000e-02, eta: 0:23:56, time: 1.121, data_time: 0.014, memory: 5975, top1_acc: 0.9918, top5_acc: 0.9992, loss_cls: 0.0374, loss: 0.0374, grad_norm: 1.4440 2021-09-18 18:32:53,366 - mmaction - INFO - Epoch [8][80/279] lr: 1.000e-02, eta: 0:23:35, time: 1.139, data_time: 0.353, memory: 5975, top1_acc: 0.9914, top5_acc: 0.9992, loss_cls: 0.0362, loss: 0.0362, grad_norm: 1.4037 2021-09-18 18:33:16,612 - mmaction - INFO - Epoch [8][100/279] lr: 1.000e-02, eta: 0:23:15, time: 1.162, data_time: 0.218, memory: 5975, top1_acc: 0.9906, top5_acc: 0.9992, loss_cls: 0.0366, loss: 0.0366, grad_norm: 1.3769 2021-09-18 18:33:38,017 - mmaction - INFO - Epoch [8][120/279] lr: 1.000e-02, eta: 0:22:53, time: 1.070, data_time: 0.001, memory: 5975, top1_acc: 0.9941, top5_acc: 0.9984, loss_cls: 0.0368, loss: 0.0368, grad_norm: 1.3428 2021-09-18 18:34:01,541 - mmaction - INFO - Epoch [8][140/279] lr: 1.000e-02, eta: 0:22:33, time: 1.176, data_time: 0.001, memory: 5975, top1_acc: 0.9879, top5_acc: 1.0000, loss_cls: 0.0434, loss: 0.0434, grad_norm: 2.0127 2021-09-18 18:34:24,793 - mmaction - INFO - Epoch [8][160/279] lr: 1.000e-02, eta: 0:22:12, time: 1.163, data_time: 0.012, memory: 5975, top1_acc: 0.9867, top5_acc: 0.9996, loss_cls: 0.0566, loss: 0.0566, grad_norm: 1.8651 2021-09-18 18:34:46,928 - mmaction - INFO - Epoch [8][180/279] lr: 1.000e-02, eta: 0:21:51, time: 1.106, data_time: 0.408, memory: 5975, top1_acc: 0.9938, top5_acc: 0.9996, loss_cls: 0.0399, loss: 0.0399, grad_norm: 1.4554 2021-09-18 18:35:09,894 - mmaction - INFO - Epoch [8][200/279] lr: 1.000e-02, eta: 0:21:30, time: 1.148, data_time: 0.078, memory: 5975, top1_acc: 0.9957, top5_acc: 1.0000, loss_cls: 0.0270, loss: 0.0270, grad_norm: 1.1288 2021-09-18 18:35:33,104 - mmaction - INFO - Epoch [8][220/279] lr: 1.000e-02, eta: 0:21:10, time: 1.161, data_time: 0.254, memory: 5975, top1_acc: 0.9941, top5_acc: 0.9996, loss_cls: 0.0291, loss: 0.0291, grad_norm: 1.2339 2021-09-18 18:35:55,591 - mmaction - INFO - Epoch [8][240/279] lr: 1.000e-02, eta: 0:20:48, time: 1.124, data_time: 0.248, memory: 5975, top1_acc: 0.9977, top5_acc: 1.0000, loss_cls: 0.0213, loss: 0.0213, grad_norm: 0.8936 2021-09-18 18:36:18,768 - mmaction - INFO - Epoch [8][260/279] lr: 1.000e-02, eta: 0:20:28, time: 1.159, data_time: 0.428, memory: 5975, top1_acc: 0.9914, top5_acc: 0.9996, loss_cls: 0.0399, loss: 0.0399, grad_norm: 1.5486 2021-09-18 18:36:38,901 - mmaction - INFO - Saving checkpoint at 8 epochs 2021-09-18 18:36:53,953 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-09-18 18:36:53,960 - mmaction - INFO - top1_acc 0.6863 top5_acc 0.8987 2021-09-18 18:36:53,960 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-09-18 18:36:53,962 - mmaction - INFO - mean_acc 0.6863 2021-09-18 18:36:54,020 - mmaction - INFO - Now best checkpoint is saved as best_top1_acc_epoch_8.pth. 2021-09-18 18:36:54,020 - mmaction - INFO - Best top1_acc is 0.6863 at 8 epoch. 2021-09-18 18:36:54,021 - mmaction - INFO - Epoch(val) [8][12] top1_acc: 0.6863, top5_acc: 0.8987, mean_class_accuracy: 0.6863 2021-09-18 18:37:20,070 - mmaction - INFO - Epoch [9][20/279] lr: 1.000e-02, eta: 0:19:37, time: 1.302, data_time: 0.297, memory: 5975, top1_acc: 0.9945, top5_acc: 0.9988, loss_cls: 0.0313, loss: 0.0313, grad_norm: 1.1321 2021-09-18 18:37:42,453 - mmaction - INFO - Epoch [9][40/279] lr: 1.000e-02, eta: 0:19:16, time: 1.119, data_time: 0.001, memory: 5975, top1_acc: 0.9926, top5_acc: 0.9996, loss_cls: 0.0324, loss: 0.0324, grad_norm: 1.4831 2021-09-18 18:38:03,072 - mmaction - INFO - Epoch [9][60/279] lr: 1.000e-02, eta: 0:18:55, time: 1.031, data_time: 0.264, memory: 5975, top1_acc: 0.9938, top5_acc: 0.9996, loss_cls: 0.0390, loss: 0.0390, grad_norm: 1.4115 2021-09-18 18:38:27,466 - mmaction - INFO - Epoch [9][80/279] lr: 1.000e-02, eta: 0:18:34, time: 1.218, data_time: 0.606, memory: 5975, top1_acc: 0.9934, top5_acc: 1.0000, loss_cls: 0.0309, loss: 0.0309, grad_norm: 1.4484 2021-09-18 18:38:49,254 - mmaction - INFO - Epoch [9][100/279] lr: 1.000e-02, eta: 0:18:13, time: 1.091, data_time: 0.196, memory: 5975, top1_acc: 0.9930, top5_acc: 0.9996, loss_cls: 0.0332, loss: 0.0332, grad_norm: 1.3483 2021-09-18 18:39:13,749 - mmaction - INFO - Epoch [9][120/279] lr: 1.000e-02, eta: 0:17:53, time: 1.223, data_time: 0.001, memory: 5975, top1_acc: 0.9945, top5_acc: 1.0000, loss_cls: 0.0271, loss: 0.0271, grad_norm: 1.1374 2021-09-18 18:39:36,500 - mmaction - INFO - Epoch [9][140/279] lr: 1.000e-02, eta: 0:17:32, time: 1.139, data_time: 0.002, memory: 5975, top1_acc: 0.9930, top5_acc: 0.9996, loss_cls: 0.0316, loss: 0.0316, grad_norm: 1.3365 2021-09-18 18:39:59,761 - mmaction - INFO - Epoch [9][160/279] lr: 1.000e-02, eta: 0:17:11, time: 1.162, data_time: 0.001, memory: 5975, top1_acc: 0.9934, top5_acc: 1.0000, loss_cls: 0.0323, loss: 0.0323, grad_norm: 1.2584 2021-09-18 18:40:20,631 - mmaction - INFO - Epoch [9][180/279] lr: 1.000e-02, eta: 0:16:49, time: 1.045, data_time: 0.030, memory: 5975, top1_acc: 0.9930, top5_acc: 0.9996, loss_cls: 0.0346, loss: 0.0346, grad_norm: 1.4985 2021-09-18 18:40:42,947 - mmaction - INFO - Epoch [9][200/279] lr: 1.000e-02, eta: 0:16:28, time: 1.114, data_time: 0.011, memory: 5975, top1_acc: 0.9914, top5_acc: 1.0000, loss_cls: 0.0357, loss: 0.0357, grad_norm: 1.5813 2021-09-18 18:41:05,565 - mmaction - INFO - Epoch [9][220/279] lr: 1.000e-02, eta: 0:16:06, time: 1.132, data_time: 0.359, memory: 5975, top1_acc: 0.9953, top5_acc: 1.0000, loss_cls: 0.0260, loss: 0.0260, grad_norm: 1.2550 2021-09-18 18:41:28,320 - mmaction - INFO - Epoch [9][240/279] lr: 1.000e-02, eta: 0:15:45, time: 1.138, data_time: 0.382, memory: 5975, top1_acc: 0.9945, top5_acc: 1.0000, loss_cls: 0.0282, loss: 0.0282, grad_norm: 1.3406 2021-09-18 18:41:50,508 - mmaction - INFO - Epoch [9][260/279] lr: 1.000e-02, eta: 0:15:24, time: 1.109, data_time: 0.001, memory: 5975, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0290, loss: 0.0290, grad_norm: 1.4229 2021-09-18 18:42:11,695 - mmaction - INFO - Saving checkpoint at 9 epochs 2021-09-18 18:42:26,639 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-09-18 18:42:26,645 - mmaction - INFO - top1_acc 0.6693 top5_acc 0.8908 2021-09-18 18:42:26,646 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-09-18 18:42:26,647 - mmaction - INFO - mean_acc 0.6693 2021-09-18 18:42:26,647 - mmaction - INFO - Epoch(val) [9][12] top1_acc: 0.6693, top5_acc: 0.8908, mean_class_accuracy: 0.6693 2021-09-18 18:42:53,565 - mmaction - INFO - Epoch [10][20/279] lr: 1.000e-03, eta: 0:14:37, time: 1.345, data_time: 0.234, memory: 5975, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0314, loss: 0.0314, grad_norm: 1.4240 2021-09-18 18:43:16,222 - mmaction - INFO - Epoch [10][40/279] lr: 1.000e-03, eta: 0:14:16, time: 1.131, data_time: 0.001, memory: 5975, top1_acc: 0.9953, top5_acc: 0.9996, loss_cls: 0.0258, loss: 0.0258, grad_norm: 1.2094 2021-09-18 18:43:36,641 - mmaction - INFO - Epoch [10][60/279] lr: 1.000e-03, eta: 0:13:54, time: 1.022, data_time: 0.002, memory: 5975, top1_acc: 0.9941, top5_acc: 1.0000, loss_cls: 0.0232, loss: 0.0232, grad_norm: 1.1710 2021-09-18 18:43:58,542 - mmaction - INFO - Epoch [10][80/279] lr: 1.000e-03, eta: 0:13:33, time: 1.095, data_time: 0.001, memory: 5975, top1_acc: 0.9949, top5_acc: 0.9996, loss_cls: 0.0250, loss: 0.0250, grad_norm: 1.2261 2021-09-18 18:44:22,327 - mmaction - INFO - Epoch [10][100/279] lr: 1.000e-03, eta: 0:13:12, time: 1.189, data_time: 0.001, memory: 5975, top1_acc: 0.9992, top5_acc: 1.0000, loss_cls: 0.0167, loss: 0.0167, grad_norm: 0.7945 2021-09-18 18:44:45,210 - mmaction - INFO - Epoch [10][120/279] lr: 1.000e-03, eta: 0:12:51, time: 1.143, data_time: 0.001, memory: 5975, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0289, loss: 0.0289, grad_norm: 1.2222 2021-09-18 18:45:07,177 - mmaction - INFO - Epoch [10][140/279] lr: 1.000e-03, eta: 0:12:29, time: 1.099, data_time: 0.002, memory: 5975, top1_acc: 0.9949, top5_acc: 1.0000, loss_cls: 0.0206, loss: 0.0206, grad_norm: 0.9373 2021-09-18 18:45:29,803 - mmaction - INFO - Epoch [10][160/279] lr: 1.000e-03, eta: 0:12:08, time: 1.130, data_time: 0.008, memory: 5975, top1_acc: 0.9969, top5_acc: 0.9988, loss_cls: 0.0215, loss: 0.0215, grad_norm: 0.8975 2021-09-18 18:45:52,885 - mmaction - INFO - Epoch [10][180/279] lr: 1.000e-03, eta: 0:11:47, time: 1.155, data_time: 0.029, memory: 5975, top1_acc: 0.9957, top5_acc: 0.9996, loss_cls: 0.0246, loss: 0.0246, grad_norm: 0.9992 2021-09-18 18:46:16,807 - mmaction - INFO - Epoch [10][200/279] lr: 1.000e-03, eta: 0:11:26, time: 1.196, data_time: 0.410, memory: 5975, top1_acc: 0.9965, top5_acc: 0.9992, loss_cls: 0.0187, loss: 0.0187, grad_norm: 0.8019 2021-09-18 18:46:38,576 - mmaction - INFO - Epoch [10][220/279] lr: 1.000e-03, eta: 0:11:04, time: 1.088, data_time: 0.001, memory: 5975, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 0.0133, loss: 0.0133, grad_norm: 0.7664 2021-09-18 18:47:01,687 - mmaction - INFO - Epoch [10][240/279] lr: 1.000e-03, eta: 0:10:43, time: 1.156, data_time: 0.001, memory: 5975, top1_acc: 0.9969, top5_acc: 0.9996, loss_cls: 0.0188, loss: 0.0188, grad_norm: 0.8224 2021-09-18 18:47:23,665 - mmaction - INFO - Epoch [10][260/279] lr: 1.000e-03, eta: 0:10:22, time: 1.099, data_time: 0.001, memory: 5975, top1_acc: 0.9965, top5_acc: 1.0000, loss_cls: 0.0175, loss: 0.0175, grad_norm: 0.9461 2021-09-18 18:47:43,595 - mmaction - INFO - Saving checkpoint at 10 epochs 2021-09-18 18:47:58,487 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-09-18 18:47:58,492 - mmaction - INFO - top1_acc 0.6732 top5_acc 0.9007 2021-09-18 18:47:58,492 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-09-18 18:47:58,494 - mmaction - INFO - mean_acc 0.6732 2021-09-18 18:47:58,494 - mmaction - INFO - Epoch(val) [10][12] top1_acc: 0.6732, top5_acc: 0.9007, mean_class_accuracy: 0.6732 2021-09-18 18:48:24,799 - mmaction - INFO - Epoch [11][20/279] lr: 1.000e-03, eta: 0:09:37, time: 1.315, data_time: 0.413, memory: 5975, top1_acc: 0.9973, top5_acc: 1.0000, loss_cls: 0.0176, loss: 0.0176, grad_norm: 0.8928 2021-09-18 18:48:47,645 - mmaction - INFO - Epoch [11][40/279] lr: 1.000e-03, eta: 0:09:15, time: 1.142, data_time: 0.120, memory: 5975, top1_acc: 0.9973, top5_acc: 0.9996, loss_cls: 0.0161, loss: 0.0161, grad_norm: 0.7225 2021-09-18 18:49:10,654 - mmaction - INFO - Epoch [11][60/279] lr: 1.000e-03, eta: 0:08:54, time: 1.151, data_time: 0.001, memory: 5975, top1_acc: 0.9980, top5_acc: 1.0000, loss_cls: 0.0146, loss: 0.0146, grad_norm: 0.7053 2021-09-18 18:49:33,414 - mmaction - INFO - Epoch [11][80/279] lr: 1.000e-03, eta: 0:08:33, time: 1.136, data_time: 0.073, memory: 5975, top1_acc: 0.9965, top5_acc: 0.9992, loss_cls: 0.0189, loss: 0.0189, grad_norm: 0.8116 2021-09-18 18:49:55,723 - mmaction - INFO - Epoch [11][100/279] lr: 1.000e-03, eta: 0:08:12, time: 1.117, data_time: 0.017, memory: 5975, top1_acc: 0.9980, top5_acc: 0.9996, loss_cls: 0.0184, loss: 0.0184, grad_norm: 0.7093 2021-09-18 18:50:17,361 - mmaction - INFO - Epoch [11][120/279] lr: 1.000e-03, eta: 0:07:50, time: 1.081, data_time: 0.206, memory: 5975, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 0.0137, loss: 0.0137, grad_norm: 0.6501 2021-09-18 18:50:39,158 - mmaction - INFO - Epoch [11][140/279] lr: 1.000e-03, eta: 0:07:29, time: 1.091, data_time: 0.494, memory: 5975, top1_acc: 0.9973, top5_acc: 1.0000, loss_cls: 0.0149, loss: 0.0149, grad_norm: 0.7228 2021-09-18 18:51:02,554 - mmaction - INFO - Epoch [11][160/279] lr: 1.000e-03, eta: 0:07:07, time: 1.170, data_time: 0.017, memory: 5975, top1_acc: 0.9961, top5_acc: 0.9996, loss_cls: 0.0184, loss: 0.0184, grad_norm: 0.7505 2021-09-18 18:51:24,305 - mmaction - INFO - Epoch [11][180/279] lr: 1.000e-03, eta: 0:06:46, time: 1.088, data_time: 0.137, memory: 5975, top1_acc: 0.9965, top5_acc: 0.9996, loss_cls: 0.0166, loss: 0.0166, grad_norm: 0.8684 2021-09-18 18:51:46,799 - mmaction - INFO - Epoch [11][200/279] lr: 1.000e-03, eta: 0:06:25, time: 1.124, data_time: 0.181, memory: 5975, top1_acc: 0.9969, top5_acc: 0.9996, loss_cls: 0.0193, loss: 0.0193, grad_norm: 0.8878 2021-09-18 18:52:09,280 - mmaction - INFO - Epoch [11][220/279] lr: 1.000e-03, eta: 0:06:03, time: 1.124, data_time: 0.071, memory: 5975, top1_acc: 0.9965, top5_acc: 0.9996, loss_cls: 0.0177, loss: 0.0177, grad_norm: 0.8517 2021-09-18 18:52:31,850 - mmaction - INFO - Epoch [11][240/279] lr: 1.000e-03, eta: 0:05:42, time: 1.127, data_time: 0.001, memory: 5975, top1_acc: 0.9980, top5_acc: 1.0000, loss_cls: 0.0171, loss: 0.0171, grad_norm: 0.7581 2021-09-18 18:52:54,415 - mmaction - INFO - Epoch [11][260/279] lr: 1.000e-03, eta: 0:05:20, time: 1.128, data_time: 0.006, memory: 5975, top1_acc: 0.9973, top5_acc: 0.9996, loss_cls: 0.0139, loss: 0.0139, grad_norm: 0.7101 2021-09-18 18:53:13,908 - mmaction - INFO - Saving checkpoint at 11 epochs 2021-09-18 18:53:28,704 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-09-18 18:53:28,710 - mmaction - INFO - top1_acc 0.6739 top5_acc 0.9046 2021-09-18 18:53:28,710 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-09-18 18:53:28,712 - mmaction - INFO - mean_acc 0.6739 2021-09-18 18:53:28,712 - mmaction - INFO - Epoch(val) [11][12] top1_acc: 0.6739, top5_acc: 0.9046, mean_class_accuracy: 0.6739 2021-09-18 18:53:55,442 - mmaction - INFO - Epoch [12][20/279] lr: 1.000e-04, eta: 0:04:37, time: 1.335, data_time: 0.349, memory: 5975, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0173, loss: 0.0173, grad_norm: 0.9316 2021-09-18 18:54:16,911 - mmaction - INFO - Epoch [12][40/279] lr: 1.000e-04, eta: 0:04:16, time: 1.074, data_time: 0.002, memory: 5975, top1_acc: 0.9973, top5_acc: 0.9996, loss_cls: 0.0158, loss: 0.0158, grad_norm: 0.7255 2021-09-18 18:54:40,873 - mmaction - INFO - Epoch [12][60/279] lr: 1.000e-04, eta: 0:03:54, time: 1.196, data_time: 0.080, memory: 5975, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 0.0137, loss: 0.0137, grad_norm: 0.6372 2021-09-18 18:55:02,944 - mmaction - INFO - Epoch [12][80/279] lr: 1.000e-04, eta: 0:03:33, time: 1.106, data_time: 0.003, memory: 5975, top1_acc: 0.9973, top5_acc: 0.9996, loss_cls: 0.0150, loss: 0.0150, grad_norm: 0.7650 2021-09-18 18:55:25,951 - mmaction - INFO - Epoch [12][100/279] lr: 1.000e-04, eta: 0:03:12, time: 1.150, data_time: 0.000, memory: 5975, top1_acc: 0.9996, top5_acc: 1.0000, loss_cls: 0.0109, loss: 0.0109, grad_norm: 0.5371 2021-09-18 18:55:49,834 - mmaction - INFO - Epoch [12][120/279] lr: 1.000e-04, eta: 0:02:50, time: 1.192, data_time: 0.001, memory: 5975, top1_acc: 0.9980, top5_acc: 0.9996, loss_cls: 0.0138, loss: 0.0138, grad_norm: 0.6929 2021-09-18 18:56:11,636 - mmaction - INFO - Epoch [12][140/279] lr: 1.000e-04, eta: 0:02:29, time: 1.092, data_time: 0.282, memory: 5975, top1_acc: 0.9969, top5_acc: 0.9996, loss_cls: 0.0203, loss: 0.0203, grad_norm: 0.8781 2021-09-18 18:56:34,509 - mmaction - INFO - Epoch [12][160/279] lr: 1.000e-04, eta: 0:02:07, time: 1.144, data_time: 0.163, memory: 5975, top1_acc: 0.9980, top5_acc: 0.9996, loss_cls: 0.0171, loss: 0.0171, grad_norm: 0.7017 2021-09-18 18:56:56,637 - mmaction - INFO - Epoch [12][180/279] lr: 1.000e-04, eta: 0:01:46, time: 1.106, data_time: 0.001, memory: 5975, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 0.0157, loss: 0.0157, grad_norm: 0.8158 2021-09-18 18:57:18,751 - mmaction - INFO - Epoch [12][200/279] lr: 1.000e-04, eta: 0:01:24, time: 1.104, data_time: 0.052, memory: 5975, top1_acc: 0.9965, top5_acc: 0.9996, loss_cls: 0.0170, loss: 0.0170, grad_norm: 0.7162 2021-09-18 18:57:42,053 - mmaction - INFO - Epoch [12][220/279] lr: 1.000e-04, eta: 0:01:03, time: 1.167, data_time: 0.003, memory: 5975, top1_acc: 0.9965, top5_acc: 0.9996, loss_cls: 0.0173, loss: 0.0173, grad_norm: 0.7866 2021-09-18 18:58:03,238 - mmaction - INFO - Epoch [12][240/279] lr: 1.000e-04, eta: 0:00:41, time: 1.060, data_time: 0.001, memory: 5975, top1_acc: 0.9969, top5_acc: 0.9992, loss_cls: 0.0168, loss: 0.0168, grad_norm: 0.6727 2021-09-18 18:58:25,651 - mmaction - INFO - Epoch [12][260/279] lr: 1.000e-04, eta: 0:00:20, time: 1.119, data_time: 0.006, memory: 5975, top1_acc: 0.9980, top5_acc: 1.0000, loss_cls: 0.0118, loss: 0.0118, grad_norm: 0.6369 2021-09-18 18:58:45,901 - mmaction - INFO - Saving checkpoint at 12 epochs 2021-09-18 18:59:00,689 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-09-18 18:59:00,695 - mmaction - INFO - top1_acc 0.6817 top5_acc 0.9052 2021-09-18 18:59:00,695 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-09-18 18:59:00,697 - mmaction - INFO - mean_acc 0.6817 2021-09-18 18:59:00,697 - mmaction - INFO - Epoch(val) [12][12] top1_acc: 0.6817, top5_acc: 0.9052, mean_class_accuracy: 0.6817 2021-09-18 18:59:01,874 - mmaction - INFO - 1530 videos remain after valid thresholding 2021-09-18 19:04:05,210 - mmaction - INFO - Testing results of the last checkpoint 2021-09-18 19:04:05,210 - mmaction - INFO - top1_acc: 0.6928 2021-09-18 19:04:05,211 - mmaction - INFO - top5_acc: 0.9124 2021-09-18 19:04:05,211 - mmaction - INFO - mean_class_accuracy: 0.6928