2020-10-21 14:04:29,612 - mmaction - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.7.7 (default, May 7 2020, 21:25:33) [GCC 7.3.0] CUDA available: True GPU 0,1,2,3,4,5,6,7: Tesla V100-SXM2-32GB CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 10.1, V10.1.243 GCC: gcc (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0 PyTorch: 1.6.0 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.1 Product Build 20200208 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v1.5.0 (Git Hash e2ac1fac44c5078ca927cb9b90e1b3066a0b2ed0) - OpenMP 201511 (a.k.a. OpenMP 4.5) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 10.1 - 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_37,code=compute_37 - CuDNN 7.6.3 - Magma 2.5.2 - Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_VULKAN_WRAPPER -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-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, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=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_STATIC_DISPATCH=OFF, TorchVision: 0.7.0 OpenCV: 4.4.0 MMCV: 1.1.4 MMCV Compiler: GCC 7.5 MMCV CUDA Compiler: 10.1 MMAction2: 0.7.0+badcb77 ------------------------------------------------------------ 2020-10-21 14:04:29,613 - mmaction - INFO - Distributed training: True 2020-10-21 14:04:29,613 - mmaction - INFO - Config: /home/bkhuang/project/mmaction2/configs/recognition/c3d/c3d_sports1m_16x1x1_45e_ucf101_rgb.py # model settings model = dict( type='Recognizer3D', backbone=dict( type='C3D', pretrained= # noqa: E251 'https://download.openmmlab.com/mmaction/recognition/c3d/c3d_sports1m_pretrain_20201016-dcc47ddc.pth', # noqa: E501 style='pytorch', conv_cfg=dict(type='Conv3d'), norm_cfg=None, act_cfg=dict(type='ReLU'), dropout_ratio=0.5, init_std=0.005), cls_head=dict( type='I3DHead', num_classes=101, in_channels=4096, spatial_type=None, dropout_ratio=0.5, init_std=0.01)) # model training and testing settings train_cfg = None test_cfg = dict(average_clips='score') # dataset settings dataset_type = 'RawframeDataset' data_root = 'data/ucf101/rawframes' data_root_val = 'data/ucf101/rawframes' split = 1 # official train/test splits. valid numbers: 1, 2, 3 ann_file_train = f'data/ucf101/ucf101_train_split_{split}_rawframes.txt' ann_file_val = f'data/ucf101/ucf101_val_split_{split}_rawframes.txt' ann_file_test = f'data/ucf101/ucf101_val_split_{split}_rawframes.txt' img_norm_cfg = dict(mean=[104, 117, 128], std=[1, 1, 1], to_bgr=False) train_pipeline = [ dict(type='SampleFrames', clip_len=16, frame_interval=1, num_clips=1), dict(type='RawFrameDecode'), dict(type='Resize', scale=(128, 171)), dict(type='RandomCrop', size=112), dict(type='Flip', flip_ratio=0.5), dict(type='Normalize', **img_norm_cfg), dict(type='FormatShape', input_format='NCTHW'), dict(type='Collect', keys=['imgs', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['imgs', 'label']) ] val_pipeline = [ dict( type='SampleFrames', clip_len=16, frame_interval=1, num_clips=1, test_mode=True), dict(type='RawFrameDecode'), dict(type='Resize', scale=(128, 171)), dict(type='CenterCrop', crop_size=112), dict(type='Flip', flip_ratio=0), dict(type='Normalize', **img_norm_cfg), dict(type='FormatShape', input_format='NCTHW'), dict(type='Collect', keys=['imgs', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['imgs', 'label']) ] test_pipeline = [ dict( type='SampleFrames', clip_len=16, frame_interval=1, num_clips=10, test_mode=True), dict(type='RawFrameDecode'), dict(type='Resize', scale=(128, 171)), dict(type='CenterCrop', crop_size=112), dict(type='Flip', flip_ratio=0), dict(type='Normalize', **img_norm_cfg), dict(type='FormatShape', input_format='NCTHW'), dict(type='Collect', keys=['imgs', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['imgs', 'label']) ] data = dict( videos_per_gpu=30, workers_per_gpu=2, test_dataloader=dict(videos_per_gpu=1), train=dict( type=dataset_type, ann_file=ann_file_train, data_prefix=data_root, pipeline=train_pipeline), val=dict( type=dataset_type, ann_file=ann_file_val, data_prefix=data_root_val, pipeline=val_pipeline), test=dict( type=dataset_type, ann_file=ann_file_test, data_prefix=data_root_val, pipeline=test_pipeline)) # optimizer optimizer = dict( type='SGD', lr=0.001, momentum=0.9, weight_decay=0.0005) # this lr is used for 8 gpus optimizer_config = dict(grad_clip=dict(max_norm=40, norm_type=2)) # learning policy lr_config = dict(policy='step', step=[20, 40]) total_epochs = 45 checkpoint_config = dict(interval=5) evaluation = dict( interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5)) log_config = dict( interval=20, hooks=[ dict(type='TextLoggerHook'), # dict(type='TensorboardLoggerHook'), ]) # runtime settings dist_params = dict(backend='nccl') log_level = 'INFO' work_dir = f'./work_dirs/c3d_sports1m_16x1x1_45e_ucf101_split_{split}_rgb/' load_from = None resume_from = None workflow = [('train', 1)] 2020-10-21 14:04:29,614 - mmaction - INFO - Set random seed to 0, deterministic: True 2020-10-21 14:04:30,716 - mmaction - INFO - load model from: https://download.openmmlab.com/mmaction/recognition/c3d/c3d_sports1m_pretrain_20201016-dcc47ddc.pth 2020-10-21 14:04:48,727 - mmaction - INFO - Start running, host: bkhuang@ubuntu, work_dir: /home/bkhuang/project/mmaction2/work_dirs/c3d_sports1m_16x1x1_45e_ucf101_split_1_rgb 2020-10-21 14:04:48,729 - mmaction - INFO - workflow: [('train', 1)], max: 45 epochs 2020-10-21 14:05:29,192 - mmaction - INFO - Epoch [1][20/40] lr: 1.000e-03, eta: 0:59:56, time: 2.021, data_time: 0.503, memory: 6053, top1_acc: 0.0519, top5_acc: 0.1458, loss_cls: 4.4943, loss: 4.4943, grad_norm: 7.7942 2020-10-21 14:05:57,526 - mmaction - INFO - Epoch [1][40/40] lr: 1.000e-03, eta: 0:50:25, time: 1.418, data_time: 0.003, memory: 6053, top1_acc: 0.2626, top5_acc: 0.4876, loss_cls: 3.2977, loss: 3.2977, grad_norm: 13.2076 2020-10-21 14:06:35,539 - mmaction - INFO - Epoch [2][20/40] lr: 1.000e-03, eta: 0:51:11, time: 1.858, data_time: 0.446, memory: 6053, top1_acc: 0.5252, top5_acc: 0.8042, loss_cls: 1.7916, loss: 1.7916, grad_norm: 17.4771 2020-10-21 14:07:02,637 - mmaction - INFO - Epoch [2][40/40] lr: 1.000e-03, eta: 0:47:40, time: 1.356, data_time: 0.005, memory: 6053, top1_acc: 0.6473, top5_acc: 0.9054, loss_cls: 1.2285, loss: 1.2285, grad_norm: 16.2866 2020-10-21 14:07:41,399 - mmaction - INFO - Epoch [3][20/40] lr: 1.000e-03, eta: 0:48:26, time: 1.896, data_time: 0.498, memory: 6053, top1_acc: 0.7358, top5_acc: 0.9452, loss_cls: 0.8977, loss: 0.8977, grad_norm: 14.9017 2020-10-21 14:08:08,611 - mmaction - INFO - Epoch [3][40/40] lr: 1.000e-03, eta: 0:46:15, time: 1.363, data_time: 0.002, memory: 6053, top1_acc: 0.7671, top5_acc: 0.9568, loss_cls: 0.7979, loss: 0.7979, grad_norm: 15.0498 2020-10-21 14:08:48,443 - mmaction - INFO - Epoch [4][20/40] lr: 1.000e-03, eta: 0:46:50, time: 1.939, data_time: 0.423, memory: 6053, top1_acc: 0.8200, top5_acc: 0.9704, loss_cls: 0.6106, loss: 0.6106, grad_norm: 13.7042 2020-10-21 14:09:15,747 - mmaction - INFO - Epoch [4][40/40] lr: 1.000e-03, eta: 0:45:08, time: 1.364, data_time: 0.003, memory: 6053, top1_acc: 0.8250, top5_acc: 0.9770, loss_cls: 0.5843, loss: 0.5843, grad_norm: 13.5664 2020-10-21 14:09:47,547 - mmaction - INFO - Epoch [5][20/40] lr: 1.000e-03, eta: 0:44:16, time: 1.546, data_time: 0.461, memory: 6053, top1_acc: 0.8529, top5_acc: 0.9823, loss_cls: 0.4874, loss: 0.4874, grad_norm: 12.6743 2020-10-21 14:10:10,510 - mmaction - INFO - Epoch [5][40/40] lr: 1.000e-03, eta: 0:42:25, time: 1.148, data_time: 0.001, memory: 6053, top1_acc: 0.8624, top5_acc: 0.9863, loss_cls: 0.4481, loss: 0.4481, grad_norm: 12.5169 2020-10-21 14:10:11,158 - mmaction - INFO - Saving checkpoint at 5 epochs 2020-10-21 14:10:32,688 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-21 14:10:32,719 - mmaction - INFO - top1_acc 0.7595 top5_acc 0.9400 2020-10-21 14:10:32,719 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-21 14:10:32,726 - mmaction - INFO - mean_acc 0.7583 2020-10-21 14:10:32,726 - mmaction - INFO - Now best checkpoint is epoch_5.pth 2020-10-21 14:10:32,728 - mmaction - INFO - Epoch(val) [5][40] top1_acc: 0.7595, top5_acc: 0.9400, mean_class_accuracy: 0.7583 2020-10-21 14:11:07,555 - mmaction - INFO - Epoch [6][20/40] lr: 1.000e-03, eta: 0:42:14, time: 1.740, data_time: 0.434, memory: 6053, top1_acc: 0.8852, top5_acc: 0.9875, loss_cls: 0.4021, loss: 0.4021, grad_norm: 12.0408 2020-10-21 14:11:30,576 - mmaction - INFO - Epoch [6][40/40] lr: 1.000e-03, eta: 0:40:43, time: 1.151, data_time: 0.001, memory: 6053, top1_acc: 0.8927, top5_acc: 0.9890, loss_cls: 0.3561, loss: 0.3561, grad_norm: 11.0191 2020-10-21 14:12:07,237 - mmaction - INFO - Epoch [7][20/40] lr: 1.000e-03, eta: 0:40:40, time: 1.800, data_time: 0.540, memory: 6053, top1_acc: 0.9042, top5_acc: 0.9917, loss_cls: 0.3138, loss: 0.3138, grad_norm: 11.0346 2020-10-21 14:12:31,525 - mmaction - INFO - Epoch [7][40/40] lr: 1.000e-03, eta: 0:39:28, time: 1.214, data_time: 0.001, memory: 6053, top1_acc: 0.8967, top5_acc: 0.9920, loss_cls: 0.3263, loss: 0.3263, grad_norm: 11.5897 2020-10-21 14:13:08,516 - mmaction - INFO - Epoch [8][20/40] lr: 1.000e-03, eta: 0:39:22, time: 1.814, data_time: 0.501, memory: 6053, top1_acc: 0.9148, top5_acc: 0.9946, loss_cls: 0.2701, loss: 0.2701, grad_norm: 10.3361 2020-10-21 14:13:31,565 - mmaction - INFO - Epoch [8][40/40] lr: 1.000e-03, eta: 0:38:12, time: 1.152, data_time: 0.000, memory: 6053, top1_acc: 0.9129, top5_acc: 0.9947, loss_cls: 0.2829, loss: 0.2829, grad_norm: 11.0215 2020-10-21 14:14:08,136 - mmaction - INFO - Epoch [9][20/40] lr: 1.000e-03, eta: 0:38:03, time: 1.807, data_time: 0.508, memory: 6053, top1_acc: 0.9290, top5_acc: 0.9952, loss_cls: 0.2296, loss: 0.2296, grad_norm: 9.5130 2020-10-21 14:14:31,836 - mmaction - INFO - Epoch [9][40/40] lr: 1.000e-03, eta: 0:37:01, time: 1.185, data_time: 0.001, memory: 6053, top1_acc: 0.9262, top5_acc: 0.9935, loss_cls: 0.2390, loss: 0.2390, grad_norm: 10.0571 2020-10-21 14:15:09,300 - mmaction - INFO - Epoch [10][20/40] lr: 1.000e-03, eta: 0:36:53, time: 1.841, data_time: 0.489, memory: 6053, top1_acc: 0.9400, top5_acc: 0.9960, loss_cls: 0.1988, loss: 0.1988, grad_norm: 9.4408 2020-10-21 14:15:32,607 - mmaction - INFO - Epoch [10][40/40] lr: 1.000e-03, eta: 0:35:54, time: 1.165, data_time: 0.000, memory: 6053, top1_acc: 0.9359, top5_acc: 0.9956, loss_cls: 0.2084, loss: 0.2084, grad_norm: 9.5452 2020-10-21 14:15:33,304 - mmaction - INFO - Saving checkpoint at 10 epochs 2020-10-21 14:15:52,944 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-21 14:15:52,986 - mmaction - INFO - top1_acc 0.7708 top5_acc 0.9434 2020-10-21 14:15:52,988 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-21 14:15:52,999 - mmaction - INFO - mean_acc 0.7701 2020-10-21 14:15:53,001 - mmaction - INFO - Now best checkpoint is epoch_10.pth 2020-10-21 14:15:53,007 - mmaction - INFO - Epoch(val) [10][40] top1_acc: 0.7708, top5_acc: 0.9434, mean_class_accuracy: 0.7701 2020-10-21 14:16:28,148 - mmaction - INFO - Epoch [11][20/40] lr: 1.000e-03, eta: 0:35:37, time: 1.756, data_time: 0.517, memory: 6053, top1_acc: 0.9465, top5_acc: 0.9960, loss_cls: 0.1641, loss: 0.1641, grad_norm: 8.9358 2020-10-21 14:16:52,245 - mmaction - INFO - Epoch [11][40/40] lr: 1.000e-03, eta: 0:34:45, time: 1.205, data_time: 0.001, memory: 6053, top1_acc: 0.9452, top5_acc: 0.9962, loss_cls: 0.1813, loss: 0.1813, grad_norm: 8.9860 2020-10-21 14:17:30,135 - mmaction - INFO - Epoch [12][20/40] lr: 1.000e-03, eta: 0:34:33, time: 1.859, data_time: 0.440, memory: 6053, top1_acc: 0.9494, top5_acc: 0.9973, loss_cls: 0.1702, loss: 0.1702, grad_norm: 8.6368 2020-10-21 14:17:53,182 - mmaction - INFO - Epoch [12][40/40] lr: 1.000e-03, eta: 0:33:41, time: 1.152, data_time: 0.001, memory: 6053, top1_acc: 0.9507, top5_acc: 0.9975, loss_cls: 0.1630, loss: 0.1630, grad_norm: 8.4811 2020-10-21 14:18:31,435 - mmaction - INFO - Epoch [13][20/40] lr: 1.000e-03, eta: 0:33:28, time: 1.879, data_time: 0.491, memory: 6053, top1_acc: 0.9575, top5_acc: 0.9983, loss_cls: 0.1345, loss: 0.1345, grad_norm: 8.2521 2020-10-21 14:18:54,502 - mmaction - INFO - Epoch [13][40/40] lr: 1.000e-03, eta: 0:32:38, time: 1.153, data_time: 0.001, memory: 6053, top1_acc: 0.9547, top5_acc: 0.9977, loss_cls: 0.1513, loss: 0.1513, grad_norm: 8.3469 2020-10-21 14:19:31,789 - mmaction - INFO - Epoch [14][20/40] lr: 1.000e-03, eta: 0:32:21, time: 1.828, data_time: 0.485, memory: 6053, top1_acc: 0.9565, top5_acc: 0.9969, loss_cls: 0.1397, loss: 0.1397, grad_norm: 8.0577 2020-10-21 14:19:55,330 - mmaction - INFO - Epoch [14][40/40] lr: 1.000e-03, eta: 0:31:34, time: 1.177, data_time: 0.001, memory: 6053, top1_acc: 0.9648, top5_acc: 0.9985, loss_cls: 0.1145, loss: 0.1145, grad_norm: 7.6629 2020-10-21 14:20:32,627 - mmaction - INFO - Epoch [15][20/40] lr: 1.000e-03, eta: 0:31:16, time: 1.824, data_time: 0.484, memory: 6053, top1_acc: 0.9635, top5_acc: 0.9977, loss_cls: 0.1235, loss: 0.1235, grad_norm: 7.9435 2020-10-21 14:20:55,822 - mmaction - INFO - Epoch [15][40/40] lr: 1.000e-03, eta: 0:30:30, time: 1.160, data_time: 0.000, memory: 6053, top1_acc: 0.9570, top5_acc: 0.9983, loss_cls: 0.1368, loss: 0.1368, grad_norm: 8.5860 2020-10-21 14:20:56,509 - mmaction - INFO - Saving checkpoint at 15 epochs 2020-10-21 14:21:18,198 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-21 14:21:18,229 - mmaction - INFO - top1_acc 0.7740 top5_acc 0.9445 2020-10-21 14:21:18,230 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-21 14:21:18,237 - mmaction - INFO - mean_acc 0.7714 2020-10-21 14:21:18,237 - mmaction - INFO - Now best checkpoint is epoch_15.pth 2020-10-21 14:21:18,239 - mmaction - INFO - Epoch(val) [15][40] top1_acc: 0.7740, top5_acc: 0.9445, mean_class_accuracy: 0.7714 2020-10-21 14:21:53,491 - mmaction - INFO - Epoch [16][20/40] lr: 1.000e-03, eta: 0:30:09, time: 1.761, data_time: 0.484, memory: 6053, top1_acc: 0.9608, top5_acc: 0.9981, loss_cls: 0.1296, loss: 0.1296, grad_norm: 7.6668 2020-10-21 14:22:16,154 - mmaction - INFO - Epoch [16][40/40] lr: 1.000e-03, eta: 0:29:24, time: 1.134, data_time: 0.001, memory: 6053, top1_acc: 0.9610, top5_acc: 0.9977, loss_cls: 0.1246, loss: 0.1246, grad_norm: 7.9461 2020-10-21 14:22:52,904 - mmaction - INFO - Epoch [17][20/40] lr: 1.000e-03, eta: 0:29:03, time: 1.798, data_time: 0.510, memory: 6053, top1_acc: 0.9685, top5_acc: 0.9985, loss_cls: 0.1016, loss: 0.1016, grad_norm: 7.3458 2020-10-21 14:23:15,537 - mmaction - INFO - Epoch [17][40/40] lr: 1.000e-03, eta: 0:28:19, time: 1.132, data_time: 0.001, memory: 6053, top1_acc: 0.9659, top5_acc: 0.9985, loss_cls: 0.1092, loss: 0.1092, grad_norm: 7.9946 2020-10-21 14:23:51,802 - mmaction - INFO - Epoch [18][20/40] lr: 1.000e-03, eta: 0:27:57, time: 1.775, data_time: 0.533, memory: 6053, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 0.0928, loss: 0.0928, grad_norm: 6.5751 2020-10-21 14:24:15,001 - mmaction - INFO - Epoch [18][40/40] lr: 1.000e-03, eta: 0:27:15, time: 1.160, data_time: 0.001, memory: 6053, top1_acc: 0.9728, top5_acc: 0.9994, loss_cls: 0.0852, loss: 0.0852, grad_norm: 7.1942 2020-10-21 14:24:52,149 - mmaction - INFO - Epoch [19][20/40] lr: 1.000e-03, eta: 0:26:54, time: 1.824, data_time: 0.539, memory: 6053, top1_acc: 0.9721, top5_acc: 0.9985, loss_cls: 0.0937, loss: 0.0937, grad_norm: 7.0367 2020-10-21 14:25:15,128 - mmaction - INFO - Epoch [19][40/40] lr: 1.000e-03, eta: 0:26:13, time: 1.149, data_time: 0.000, memory: 6053, top1_acc: 0.9745, top5_acc: 0.9989, loss_cls: 0.0879, loss: 0.0879, grad_norm: 7.0032 2020-10-21 14:25:53,622 - mmaction - INFO - Epoch [20][20/40] lr: 1.000e-03, eta: 0:25:53, time: 1.886, data_time: 0.554, memory: 6053, top1_acc: 0.9746, top5_acc: 0.9992, loss_cls: 0.0900, loss: 0.0900, grad_norm: 7.0456 2020-10-21 14:26:16,842 - mmaction - INFO - Epoch [20][40/40] lr: 1.000e-03, eta: 0:25:13, time: 1.161, data_time: 0.001, memory: 6053, top1_acc: 0.9734, top5_acc: 0.9987, loss_cls: 0.0825, loss: 0.0825, grad_norm: 6.8970 2020-10-21 14:26:17,541 - mmaction - INFO - Saving checkpoint at 20 epochs 2020-10-21 14:26:38,693 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-21 14:26:38,729 - mmaction - INFO - top1_acc 0.7888 top5_acc 0.9503 2020-10-21 14:26:38,730 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-21 14:26:38,738 - mmaction - INFO - mean_acc 0.7881 2020-10-21 14:26:38,738 - mmaction - INFO - Now best checkpoint is epoch_20.pth 2020-10-21 14:26:38,741 - mmaction - INFO - Epoch(val) [20][40] top1_acc: 0.7888, top5_acc: 0.9503, mean_class_accuracy: 0.7881 2020-10-21 14:27:13,364 - mmaction - INFO - Epoch [21][20/40] lr: 1.000e-04, eta: 0:24:48, time: 1.730, data_time: 0.488, memory: 6053, top1_acc: 0.9802, top5_acc: 0.9998, loss_cls: 0.0658, loss: 0.0658, grad_norm: 5.7656 2020-10-21 14:27:36,268 - mmaction - INFO - Epoch [21][40/40] lr: 1.000e-04, eta: 0:24:09, time: 1.145, data_time: 0.001, memory: 6053, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.0619, loss: 0.0619, grad_norm: 5.6771 2020-10-21 14:28:13,465 - mmaction - INFO - Epoch [22][20/40] lr: 1.000e-04, eta: 0:23:46, time: 1.826, data_time: 0.561, memory: 6053, top1_acc: 0.9802, top5_acc: 1.0000, loss_cls: 0.0591, loss: 0.0591, grad_norm: 5.4768 2020-10-21 14:28:37,399 - mmaction - INFO - Epoch [22][40/40] lr: 1.000e-04, eta: 0:23:09, time: 1.197, data_time: 0.001, memory: 6053, top1_acc: 0.9829, top5_acc: 0.9998, loss_cls: 0.0570, loss: 0.0570, grad_norm: 5.7912 2020-10-21 14:29:15,501 - mmaction - INFO - Epoch [23][20/40] lr: 1.000e-04, eta: 0:22:46, time: 1.873, data_time: 0.553, memory: 6053, top1_acc: 0.9825, top5_acc: 0.9992, loss_cls: 0.0555, loss: 0.0555, grad_norm: 5.4550 2020-10-21 14:29:38,799 - mmaction - INFO - Epoch [23][40/40] lr: 1.000e-04, eta: 0:22:09, time: 1.165, data_time: 0.001, memory: 6053, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0548, loss: 0.0548, grad_norm: 5.3130 2020-10-21 14:30:15,737 - mmaction - INFO - Epoch [24][20/40] lr: 1.000e-04, eta: 0:21:44, time: 1.808, data_time: 0.508, memory: 6053, top1_acc: 0.9848, top5_acc: 0.9998, loss_cls: 0.0447, loss: 0.0447, grad_norm: 4.9054 2020-10-21 14:30:39,779 - mmaction - INFO - Epoch [24][40/40] lr: 1.000e-04, eta: 0:21:08, time: 1.203, data_time: 0.001, memory: 6053, top1_acc: 0.9829, top5_acc: 0.9992, loss_cls: 0.0570, loss: 0.0570, grad_norm: 5.6753 2020-10-21 14:31:17,418 - mmaction - INFO - Epoch [25][20/40] lr: 1.000e-04, eta: 0:20:44, time: 1.855, data_time: 0.501, memory: 6053, top1_acc: 0.9827, top5_acc: 0.9994, loss_cls: 0.0552, loss: 0.0552, grad_norm: 5.5496 2020-10-21 14:31:40,530 - mmaction - INFO - Epoch [25][40/40] lr: 1.000e-04, eta: 0:20:08, time: 1.156, data_time: 0.001, memory: 6053, top1_acc: 0.9825, top5_acc: 0.9996, loss_cls: 0.0572, loss: 0.0572, grad_norm: 5.6257 2020-10-21 14:31:41,246 - mmaction - INFO - Saving checkpoint at 25 epochs 2020-10-21 14:32:01,778 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-21 14:32:01,811 - mmaction - INFO - top1_acc 0.7933 top5_acc 0.9516 2020-10-21 14:32:01,811 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-21 14:32:01,818 - mmaction - INFO - mean_acc 0.7929 2020-10-21 14:32:01,819 - mmaction - INFO - Now best checkpoint is epoch_25.pth 2020-10-21 14:32:01,821 - mmaction - INFO - Epoch(val) [25][40] top1_acc: 0.7933, top5_acc: 0.9516, mean_class_accuracy: 0.7929 2020-10-21 14:32:38,343 - mmaction - INFO - Epoch [26][20/40] lr: 1.000e-04, eta: 0:19:42, time: 1.825, data_time: 0.481, memory: 6053, top1_acc: 0.9848, top5_acc: 0.9990, loss_cls: 0.0530, loss: 0.0530, grad_norm: 5.3418 2020-10-21 14:33:02,249 - mmaction - INFO - Epoch [26][40/40] lr: 1.000e-04, eta: 0:19:07, time: 1.196, data_time: 0.001, memory: 6053, top1_acc: 0.9842, top5_acc: 0.9992, loss_cls: 0.0528, loss: 0.0528, grad_norm: 5.3838 2020-10-21 14:33:39,249 - mmaction - INFO - Epoch [27][20/40] lr: 1.000e-04, eta: 0:18:41, time: 1.818, data_time: 0.505, memory: 6053, top1_acc: 0.9875, top5_acc: 0.9998, loss_cls: 0.0462, loss: 0.0462, grad_norm: 4.9790 2020-10-21 14:34:02,163 - mmaction - INFO - Epoch [27][40/40] lr: 1.000e-04, eta: 0:18:06, time: 1.146, data_time: 0.001, memory: 6053, top1_acc: 0.9857, top5_acc: 0.9996, loss_cls: 0.0471, loss: 0.0471, grad_norm: 5.1341 2020-10-21 14:34:38,957 - mmaction - INFO - Epoch [28][20/40] lr: 1.000e-04, eta: 0:17:40, time: 1.803, data_time: 0.487, memory: 6053, top1_acc: 0.9848, top5_acc: 0.9994, loss_cls: 0.0528, loss: 0.0528, grad_norm: 5.2943 2020-10-21 14:35:03,289 - mmaction - INFO - Epoch [28][40/40] lr: 1.000e-04, eta: 0:17:06, time: 1.216, data_time: 0.001, memory: 6053, top1_acc: 0.9850, top5_acc: 0.9996, loss_cls: 0.0447, loss: 0.0447, grad_norm: 5.2170 2020-10-21 14:35:40,988 - mmaction - INFO - Epoch [29][20/40] lr: 1.000e-04, eta: 0:16:39, time: 1.850, data_time: 0.521, memory: 6053, top1_acc: 0.9867, top5_acc: 0.9996, loss_cls: 0.0444, loss: 0.0444, grad_norm: 5.2027 2020-10-21 14:36:04,123 - mmaction - INFO - Epoch [29][40/40] lr: 1.000e-04, eta: 0:16:05, time: 1.157, data_time: 0.001, memory: 6053, top1_acc: 0.9871, top5_acc: 0.9998, loss_cls: 0.0400, loss: 0.0400, grad_norm: 4.7205 2020-10-21 14:36:41,367 - mmaction - INFO - Epoch [30][20/40] lr: 1.000e-04, eta: 0:15:38, time: 1.822, data_time: 0.551, memory: 6053, top1_acc: 0.9871, top5_acc: 0.9998, loss_cls: 0.0390, loss: 0.0390, grad_norm: 4.7297 2020-10-21 14:37:05,689 - mmaction - INFO - Epoch [30][40/40] lr: 1.000e-04, eta: 0:15:05, time: 1.216, data_time: 0.001, memory: 6053, top1_acc: 0.9852, top5_acc: 1.0000, loss_cls: 0.0457, loss: 0.0457, grad_norm: 5.2739 2020-10-21 14:37:06,353 - mmaction - INFO - Saving checkpoint at 30 epochs 2020-10-21 14:37:28,196 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-21 14:37:28,229 - mmaction - INFO - top1_acc 0.7930 top5_acc 0.9516 2020-10-21 14:37:28,229 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-21 14:37:28,236 - mmaction - INFO - mean_acc 0.7934 2020-10-21 14:37:28,238 - mmaction - INFO - Epoch(val) [30][40] top1_acc: 0.7930, top5_acc: 0.9516, mean_class_accuracy: 0.7934 2020-10-21 14:38:04,266 - mmaction - INFO - Epoch [31][20/40] lr: 1.000e-04, eta: 0:14:38, time: 1.800, data_time: 0.437, memory: 6053, top1_acc: 0.9858, top5_acc: 0.9994, loss_cls: 0.0427, loss: 0.0427, grad_norm: 5.1471 2020-10-21 14:38:27,669 - mmaction - INFO - Epoch [31][40/40] lr: 1.000e-04, eta: 0:14:04, time: 1.170, data_time: 0.001, memory: 6053, top1_acc: 0.9863, top5_acc: 0.9996, loss_cls: 0.0480, loss: 0.0480, grad_norm: 5.4723 2020-10-21 14:39:05,215 - mmaction - INFO - Epoch [32][20/40] lr: 1.000e-04, eta: 0:13:37, time: 1.844, data_time: 0.434, memory: 6053, top1_acc: 0.9854, top5_acc: 0.9994, loss_cls: 0.0448, loss: 0.0448, grad_norm: 5.0971 2020-10-21 14:39:28,285 - mmaction - INFO - Epoch [32][40/40] lr: 1.000e-04, eta: 0:13:04, time: 1.154, data_time: 0.001, memory: 6053, top1_acc: 0.9899, top5_acc: 0.9998, loss_cls: 0.0392, loss: 0.0392, grad_norm: 4.7542 2020-10-21 14:40:05,547 - mmaction - INFO - Epoch [33][20/40] lr: 1.000e-04, eta: 0:12:36, time: 1.828, data_time: 0.400, memory: 6053, top1_acc: 0.9860, top5_acc: 0.9992, loss_cls: 0.0426, loss: 0.0426, grad_norm: 4.9756 2020-10-21 14:40:28,546 - mmaction - INFO - Epoch [33][40/40] lr: 1.000e-04, eta: 0:12:03, time: 1.150, data_time: 0.001, memory: 6053, top1_acc: 0.9876, top5_acc: 0.9992, loss_cls: 0.0433, loss: 0.0433, grad_norm: 4.8584 2020-10-21 14:41:06,714 - mmaction - INFO - Epoch [34][20/40] lr: 1.000e-04, eta: 0:11:35, time: 1.870, data_time: 0.469, memory: 6053, top1_acc: 0.9869, top5_acc: 0.9996, loss_cls: 0.0414, loss: 0.0414, grad_norm: 5.0456 2020-10-21 14:41:29,736 - mmaction - INFO - Epoch [34][40/40] lr: 1.000e-04, eta: 0:11:03, time: 1.151, data_time: 0.001, memory: 6053, top1_acc: 0.9846, top5_acc: 0.9989, loss_cls: 0.0506, loss: 0.0506, grad_norm: 5.5098 2020-10-21 14:42:06,283 - mmaction - INFO - Epoch [35][20/40] lr: 1.000e-04, eta: 0:10:34, time: 1.789, data_time: 0.429, memory: 6053, top1_acc: 0.9869, top5_acc: 0.9996, loss_cls: 0.0431, loss: 0.0431, grad_norm: 5.1241 2020-10-21 14:42:29,310 - mmaction - INFO - Epoch [35][40/40] lr: 1.000e-04, eta: 0:10:02, time: 1.151, data_time: 0.001, memory: 6053, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0366, loss: 0.0366, grad_norm: 4.7769 2020-10-21 14:42:29,946 - mmaction - INFO - Saving checkpoint at 35 epochs 2020-10-21 14:42:51,502 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-21 14:42:51,536 - mmaction - INFO - top1_acc 0.7965 top5_acc 0.9519 2020-10-21 14:42:51,536 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-21 14:42:51,544 - mmaction - INFO - mean_acc 0.7972 2020-10-21 14:42:51,544 - mmaction - INFO - Now best checkpoint is epoch_35.pth 2020-10-21 14:42:51,547 - mmaction - INFO - Epoch(val) [35][40] top1_acc: 0.7965, top5_acc: 0.9519, mean_class_accuracy: 0.7972 2020-10-21 14:43:28,177 - mmaction - INFO - Epoch [36][20/40] lr: 1.000e-04, eta: 0:09:34, time: 1.830, data_time: 0.499, memory: 6053, top1_acc: 0.9848, top5_acc: 0.9996, loss_cls: 0.0441, loss: 0.0441, grad_norm: 5.2734 2020-10-21 14:43:52,318 - mmaction - INFO - Epoch [36][40/40] lr: 1.000e-04, eta: 0:09:02, time: 1.208, data_time: 0.001, memory: 6053, top1_acc: 0.9840, top5_acc: 0.9998, loss_cls: 0.0487, loss: 0.0487, grad_norm: 5.6799 2020-10-21 14:44:30,391 - mmaction - INFO - Epoch [37][20/40] lr: 1.000e-04, eta: 0:08:34, time: 1.872, data_time: 0.561, memory: 6053, top1_acc: 0.9846, top5_acc: 0.9996, loss_cls: 0.0455, loss: 0.0455, grad_norm: 5.4618 2020-10-21 14:44:53,745 - mmaction - INFO - Epoch [37][40/40] lr: 1.000e-04, eta: 0:08:02, time: 1.168, data_time: 0.000, memory: 6053, top1_acc: 0.9874, top5_acc: 0.9998, loss_cls: 0.0407, loss: 0.0407, grad_norm: 5.1549 2020-10-21 14:45:31,319 - mmaction - INFO - Epoch [38][20/40] lr: 1.000e-04, eta: 0:07:33, time: 1.843, data_time: 0.518, memory: 6053, top1_acc: 0.9848, top5_acc: 0.9994, loss_cls: 0.0449, loss: 0.0449, grad_norm: 5.5163 2020-10-21 14:45:55,333 - mmaction - INFO - Epoch [38][40/40] lr: 1.000e-04, eta: 0:07:02, time: 1.201, data_time: 0.000, memory: 6053, top1_acc: 0.9869, top5_acc: 0.9992, loss_cls: 0.0419, loss: 0.0419, grad_norm: 5.0920 2020-10-21 14:46:32,763 - mmaction - INFO - Epoch [39][20/40] lr: 1.000e-04, eta: 0:06:33, time: 1.834, data_time: 0.528, memory: 6053, top1_acc: 0.9844, top5_acc: 0.9996, loss_cls: 0.0521, loss: 0.0521, grad_norm: 5.7438 2020-10-21 14:46:55,836 - mmaction - INFO - Epoch [39][40/40] lr: 1.000e-04, eta: 0:06:01, time: 1.154, data_time: 0.001, memory: 6053, top1_acc: 0.9867, top5_acc: 0.9998, loss_cls: 0.0429, loss: 0.0429, grad_norm: 5.0349 2020-10-21 14:47:33,280 - mmaction - INFO - Epoch [40][20/40] lr: 1.000e-04, eta: 0:05:32, time: 1.835, data_time: 0.550, memory: 6053, top1_acc: 0.9890, top5_acc: 1.0000, loss_cls: 0.0385, loss: 0.0385, grad_norm: 4.7954 2020-10-21 14:47:57,221 - mmaction - INFO - Epoch [40][40/40] lr: 1.000e-04, eta: 0:05:01, time: 1.196, data_time: 0.000, memory: 6053, top1_acc: 0.9859, top5_acc: 0.9985, loss_cls: 0.0467, loss: 0.0467, grad_norm: 5.2127 2020-10-21 14:47:58,043 - mmaction - INFO - Saving checkpoint at 40 epochs 2020-10-21 14:48:18,195 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-21 14:48:18,229 - mmaction - INFO - top1_acc 0.7957 top5_acc 0.9519 2020-10-21 14:48:18,229 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-21 14:48:18,236 - mmaction - INFO - mean_acc 0.7959 2020-10-21 14:48:18,240 - mmaction - INFO - Epoch(val) [40][40] top1_acc: 0.7957, top5_acc: 0.9519, mean_class_accuracy: 0.7959 2020-10-21 14:48:53,581 - mmaction - INFO - Epoch [41][20/40] lr: 1.000e-05, eta: 0:04:31, time: 1.767, data_time: 0.434, memory: 6053, top1_acc: 0.9881, top5_acc: 0.9998, loss_cls: 0.0417, loss: 0.0417, grad_norm: 5.1089 2020-10-21 14:49:16,759 - mmaction - INFO - Epoch [41][40/40] lr: 1.000e-05, eta: 0:04:01, time: 1.159, data_time: 0.000, memory: 6053, top1_acc: 0.9857, top5_acc: 0.9992, loss_cls: 0.0478, loss: 0.0478, grad_norm: 5.5136 2020-10-21 14:49:53,784 - mmaction - INFO - Epoch [42][20/40] lr: 1.000e-05, eta: 0:03:31, time: 1.815, data_time: 0.528, memory: 6053, top1_acc: 0.9883, top5_acc: 0.9998, loss_cls: 0.0394, loss: 0.0394, grad_norm: 4.5521 2020-10-21 14:50:19,036 - mmaction - INFO - Epoch [42][40/40] lr: 1.000e-05, eta: 0:03:00, time: 1.262, data_time: 0.000, memory: 6053, top1_acc: 0.9867, top5_acc: 0.9987, loss_cls: 0.0464, loss: 0.0464, grad_norm: 5.4110 2020-10-21 14:50:55,965 - mmaction - INFO - Epoch [43][20/40] lr: 1.000e-05, eta: 0:02:31, time: 1.813, data_time: 0.557, memory: 6053, top1_acc: 0.9873, top5_acc: 0.9998, loss_cls: 0.0394, loss: 0.0394, grad_norm: 4.8607 2020-10-21 14:51:19,113 - mmaction - INFO - Epoch [43][40/40] lr: 1.000e-05, eta: 0:02:00, time: 1.157, data_time: 0.001, memory: 6053, top1_acc: 0.9878, top5_acc: 0.9996, loss_cls: 0.0393, loss: 0.0393, grad_norm: 4.6079 2020-10-21 14:51:56,590 - mmaction - INFO - Epoch [44][20/40] lr: 1.000e-05, eta: 0:01:30, time: 1.845, data_time: 0.462, memory: 6053, top1_acc: 0.9852, top5_acc: 0.9996, loss_cls: 0.0429, loss: 0.0429, grad_norm: 5.4217 2020-10-21 14:52:19,489 - mmaction - INFO - Epoch [44][40/40] lr: 1.000e-05, eta: 0:01:00, time: 1.145, data_time: 0.001, memory: 6053, top1_acc: 0.9882, top5_acc: 1.0000, loss_cls: 0.0344, loss: 0.0344, grad_norm: 4.6762 2020-10-21 14:52:55,815 - mmaction - INFO - Epoch [45][20/40] lr: 1.000e-05, eta: 0:00:30, time: 1.782, data_time: 0.512, memory: 6053, top1_acc: 0.9873, top5_acc: 0.9998, loss_cls: 0.0465, loss: 0.0465, grad_norm: 5.1646 2020-10-21 14:53:19,005 - mmaction - INFO - Epoch [45][40/40] lr: 1.000e-05, eta: 0:00:00, time: 1.159, data_time: 0.000, memory: 6053, top1_acc: 0.9878, top5_acc: 0.9996, loss_cls: 0.0435, loss: 0.0435, grad_norm: 4.8821 2020-10-21 14:53:19,732 - mmaction - INFO - Saving checkpoint at 45 epochs 2020-10-21 14:53:39,257 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-21 14:53:39,290 - mmaction - INFO - top1_acc 0.7962 top5_acc 0.9519 2020-10-21 14:53:39,291 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-21 14:53:39,298 - mmaction - INFO - mean_acc 0.7965 2020-10-21 14:53:39,301 - mmaction - INFO - Epoch(val) [45][40] top1_acc: 0.7962, top5_acc: 0.9519, mean_class_accuracy: 0.7965