2022/09/08 03:05:43 - mmengine - INFO - ------------------------------------------------------------ System environment: sys.platform: linux Python: 3.7.13 (default, Mar 29 2022, 02:18:16) [GCC 7.5.0] CUDA available: True numpy_random_seed: 868759926 GPU 0,1,2,3: Tesla V100-DGXS-32GB CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.4, V11.4.100 GCC: gcc (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0 PyTorch: 1.10.0 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.2.3 (Git Hash 7336ca9f055cf1bfa13efb658fe15dc9b41f0740) - 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_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 - CuDNN 8.2 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, 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 -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-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=1.10.0, 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: 0.11.0 OpenCV: 4.6.0 MMEngine: 0.1.0 Runtime environment: cudnn_benchmark: False mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} dist_cfg: {'backend': 'nccl'} seed: None Distributed launcher: none Distributed training: False GPU number: 1 ------------------------------------------------------------ 2022/09/08 03:05:47 - mmengine - INFO - Config: model = dict( type='PEM', pem_feat_dim=32, pem_hidden_dim=256, pem_u_ratio_m=1, pem_u_ratio_l=2, pem_high_temporal_iou_threshold=0.6, pem_low_temporal_iou_threshold=0.2, soft_nms_alpha=0.75, soft_nms_low_threshold=0.65, soft_nms_high_threshold=0.9, post_process_top_k=100) train_cfg = dict( type='EpochBasedTrainLoop', max_epochs=20, val_begin=1, val_interval=20) val_cfg = dict(type='ValLoop') test_cfg = dict(type='TestLoop') param_scheduler = [ dict( type='MultiStepLR', begin=0, end=20, by_epoch=True, milestones=[10], gamma=0.1) ] optimizer = dict(type='Adam', lr=0.01, weight_decay=1e-05) optim_wrapper = dict( optimizer=dict(type='Adam', lr=0.01, weight_decay=1e-05), clip_grad=dict(max_norm=40, norm_type=2)) 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=1, save_best='auto'), sampler_seed=dict(type='DistSamplerSeedHook')) 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 = None resume = False dataset_type = 'ActivityNetDataset' data_root = 'data/ActivityNet/activitynet_feature_cuhk/csv_mean_100/' data_root_val = 'data/ActivityNet/activitynet_feature_cuhk/csv_mean_100/' ann_file_train = 'data/ActivityNet/anet_anno_train.json' ann_file_val = 'data/ActivityNet/anet_anno_val.json' ann_file_test = 'data/ActivityNet/anet_anno_val.json' work_dir = 'work_dirs/bsn_400x100_20e_1x16_activitynet_feature/' pgm_proposals_dir = 'work_dirs/bsn_400x100_20e_1x16_activitynet_feature//pgm_proposals/' pgm_features_dir = 'work_dirs/bsn_400x100_20e_1x16_activitynet_feature//pgm_features/' train_pipeline = [ dict( type='LoadProposals', top_k=500, pgm_proposals_dir= 'work_dirs/bsn_400x100_20e_1x16_activitynet_feature//pgm_proposals/', pgm_features_dir= 'work_dirs/bsn_400x100_20e_1x16_activitynet_feature//pgm_features/'), dict( type='PackLocalizationInputs', keys=('reference_temporal_iou', 'bsp_feature'), meta_keys=()) ] val_pipeline = [ dict( type='LoadProposals', top_k=1000, pgm_proposals_dir= 'work_dirs/bsn_400x100_20e_1x16_activitynet_feature//pgm_proposals/', pgm_features_dir= 'work_dirs/bsn_400x100_20e_1x16_activitynet_feature//pgm_features/'), dict( type='PackLocalizationInputs', keys=('tmin', 'tmax', 'tmin_score', 'tmax_score', 'bsp_feature'), meta_keys=('video_name', 'duration_second', 'duration_frame', 'annotations', 'feature_frame')) ] test_pipeline = [ dict( type='LoadProposals', top_k=1000, pgm_proposals_dir= 'work_dirs/bsn_400x100_20e_1x16_activitynet_feature//pgm_proposals/', pgm_features_dir= 'work_dirs/bsn_400x100_20e_1x16_activitynet_feature//pgm_features/'), dict( type='PackLocalizationInputs', keys=('tmin', 'tmax', 'tmin_score', 'tmax_score', 'bsp_feature'), meta_keys=('video_name', 'duration_second', 'duration_frame', 'annotations', 'feature_frame')) ] train_dataloader = dict( batch_size=16, num_workers=8, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=True), dataset=dict( type='ActivityNetDataset', ann_file='data/ActivityNet/anet_anno_train.json', data_prefix=dict( video='data/ActivityNet/activitynet_feature_cuhk/csv_mean_100/'), pipeline=[ dict( type='LoadProposals', top_k=500, pgm_proposals_dir= 'work_dirs/bsn_400x100_20e_1x16_activitynet_feature//pgm_proposals/', pgm_features_dir= 'work_dirs/bsn_400x100_20e_1x16_activitynet_feature//pgm_features/' ), dict( type='PackLocalizationInputs', keys=('reference_temporal_iou', 'bsp_feature'), meta_keys=()) ])) val_dataloader = dict( batch_size=1, num_workers=8, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='ActivityNetDataset', ann_file='data/ActivityNet/anet_anno_val.json', data_prefix=dict( video='data/ActivityNet/activitynet_feature_cuhk/csv_mean_100/'), pipeline=[ dict( type='LoadProposals', top_k=1000, pgm_proposals_dir= 'work_dirs/bsn_400x100_20e_1x16_activitynet_feature//pgm_proposals/', pgm_features_dir= 'work_dirs/bsn_400x100_20e_1x16_activitynet_feature//pgm_features/' ), dict( type='PackLocalizationInputs', keys=('tmin', 'tmax', 'tmin_score', 'tmax_score', 'bsp_feature'), meta_keys=('video_name', 'duration_second', 'duration_frame', 'annotations', 'feature_frame')) ], test_mode=True)) test_dataloader = dict( batch_size=1, num_workers=8, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='ActivityNetDataset', ann_file='data/ActivityNet/anet_anno_val.json', data_prefix=dict( video='data/ActivityNet/activitynet_feature_cuhk/csv_mean_100/'), pipeline=[ dict( type='LoadProposals', top_k=1000, pgm_proposals_dir= 'work_dirs/bsn_400x100_20e_1x16_activitynet_feature//pgm_proposals/', pgm_features_dir= 'work_dirs/bsn_400x100_20e_1x16_activitynet_feature//pgm_features/' ), dict( type='PackLocalizationInputs', keys=('tmin', 'tmax', 'tmin_score', 'tmax_score', 'bsp_feature'), meta_keys=('video_name', 'duration_second', 'duration_frame', 'annotations', 'feature_frame')) ], test_mode=True)) test_evaluator = dict( type='ANetMetric', metric_type='AR@AN', dump_config=dict( out='work_dirs/bsn_400x100_20e_1x16_activitynet_feature//results.json', output_format='json')) val_evaluator = dict( type='ANetMetric', metric_type='AR@AN', dump_config=dict( out='work_dirs/bsn_400x100_20e_1x16_activitynet_feature//results.json', output_format='json')) launcher = 'none' 2022/09/08 03:05:51 - mmengine - INFO - Distributed training is not used, all SyncBatchNorm (SyncBN) layers in the model will be automatically reverted to BatchNormXd layers if they are used. 2022/09/08 03:05:57 - mmengine - INFO - Checkpoints will be saved to /home/Kai.Hu/bsn/20/mmaction2/work_dirs/bsn_400x100_20e_1x16_activitynet_feature by HardDiskBackend. 2022/09/08 03:06:00 - mmengine - INFO - Epoch(train) [1][20/604] lr: 1.0000e-02 eta: 0:24:48 time: 0.1235 data_time: 0.0868 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0395 loss: 0.0435 2022/09/08 03:06:01 - mmengine - INFO - Epoch(train) [1][40/604] lr: 1.0000e-02 eta: 0:15:51 time: 0.0346 data_time: 0.0252 memory: 25 grad_norm: 0.0017 temporal_iou_loss: 0.0362 loss: 0.0392 2022/09/08 03:06:01 - mmengine - INFO - Epoch(train) [1][60/604] lr: 1.0000e-02 eta: 0:12:48 time: 0.0338 data_time: 0.0247 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0261 loss: 0.0320 2022/09/08 03:06:02 - mmengine - INFO - Epoch(train) [1][80/604] lr: 1.0000e-02 eta: 0:11:16 time: 0.0336 data_time: 0.0245 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0288 loss: 0.0290 2022/09/08 03:06:03 - mmengine - INFO - Epoch(train) [1][100/604] lr: 1.0000e-02 eta: 0:10:42 time: 0.0427 data_time: 0.0332 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0245 loss: 0.0267 2022/09/08 03:06:03 - mmengine - INFO - Epoch(train) [1][120/604] lr: 1.0000e-02 eta: 0:09:54 time: 0.0301 data_time: 0.0211 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0236 loss: 0.0254 2022/09/08 03:06:04 - mmengine - INFO - Epoch(train) [1][140/604] lr: 1.0000e-02 eta: 0:09:25 time: 0.0331 data_time: 0.0241 memory: 25 grad_norm: 0.0030 temporal_iou_loss: 0.0231 loss: 0.0245 2022/09/08 03:06:05 - mmengine - INFO - Epoch(train) [1][160/604] lr: 1.0000e-02 eta: 0:09:08 time: 0.0370 data_time: 0.0278 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0215 loss: 0.0254 2022/09/08 03:06:05 - mmengine - INFO - Epoch(train) [1][180/604] lr: 1.0000e-02 eta: 0:08:47 time: 0.0304 data_time: 0.0215 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0266 loss: 0.0256 2022/09/08 03:06:06 - mmengine - INFO - Epoch(train) [1][200/604] lr: 1.0000e-02 eta: 0:08:31 time: 0.0323 data_time: 0.0229 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0227 loss: 0.0254 2022/09/08 03:06:07 - mmengine - INFO - Epoch(train) [1][220/604] lr: 1.0000e-02 eta: 0:08:23 time: 0.0359 data_time: 0.0268 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0239 loss: 0.0244 2022/09/08 03:06:07 - mmengine - INFO - Epoch(train) [1][240/604] lr: 1.0000e-02 eta: 0:08:12 time: 0.0327 data_time: 0.0236 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0296 loss: 0.0253 2022/09/08 03:06:08 - mmengine - INFO - Epoch(train) [1][260/604] lr: 1.0000e-02 eta: 0:08:14 time: 0.0445 data_time: 0.0356 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0208 loss: 0.0250 2022/09/08 03:06:09 - mmengine - INFO - Epoch(train) [1][280/604] lr: 1.0000e-02 eta: 0:08:10 time: 0.0374 data_time: 0.0283 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0254 loss: 0.0256 2022/09/08 03:06:10 - mmengine - INFO - Epoch(train) [1][300/604] lr: 1.0000e-02 eta: 0:08:08 time: 0.0404 data_time: 0.0314 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0231 loss: 0.0243 2022/09/08 03:06:11 - mmengine - INFO - Epoch(train) [1][320/604] lr: 1.0000e-02 eta: 0:08:09 time: 0.0437 data_time: 0.0348 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0271 loss: 0.0254 2022/09/08 03:06:11 - mmengine - INFO - Epoch(train) [1][340/604] lr: 1.0000e-02 eta: 0:08:06 time: 0.0394 data_time: 0.0305 memory: 25 grad_norm: 0.0032 temporal_iou_loss: 0.0267 loss: 0.0257 2022/09/08 03:06:12 - mmengine - INFO - Epoch(train) [1][360/604] lr: 1.0000e-02 eta: 0:08:03 time: 0.0373 data_time: 0.0284 memory: 25 grad_norm: 0.0033 temporal_iou_loss: 0.0241 loss: 0.0243 2022/09/08 03:06:13 - mmengine - INFO - Epoch(train) [1][380/604] lr: 1.0000e-02 eta: 0:07:58 time: 0.0352 data_time: 0.0262 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0254 loss: 0.0247 2022/09/08 03:06:14 - mmengine - INFO - Epoch(train) [1][400/604] lr: 1.0000e-02 eta: 0:07:56 time: 0.0380 data_time: 0.0290 memory: 25 grad_norm: 0.0029 temporal_iou_loss: 0.0211 loss: 0.0252 2022/09/08 03:06:14 - mmengine - INFO - Epoch(train) [1][420/604] lr: 1.0000e-02 eta: 0:07:50 time: 0.0327 data_time: 0.0237 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0299 loss: 0.0256 2022/09/08 03:06:15 - mmengine - INFO - Epoch(train) [1][440/604] lr: 1.0000e-02 eta: 0:07:48 time: 0.0369 data_time: 0.0280 memory: 25 grad_norm: 0.0030 temporal_iou_loss: 0.0247 loss: 0.0256 2022/09/08 03:06:16 - mmengine - INFO - Epoch(train) [1][460/604] lr: 1.0000e-02 eta: 0:07:44 time: 0.0350 data_time: 0.0261 memory: 25 grad_norm: 0.0030 temporal_iou_loss: 0.0301 loss: 0.0254 2022/09/08 03:06:16 - mmengine - INFO - Epoch(train) [1][480/604] lr: 1.0000e-02 eta: 0:07:40 time: 0.0324 data_time: 0.0235 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0221 loss: 0.0254 2022/09/08 03:06:17 - mmengine - INFO - Epoch(train) [1][500/604] lr: 1.0000e-02 eta: 0:07:35 time: 0.0317 data_time: 0.0228 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0234 loss: 0.0261 2022/09/08 03:06:18 - mmengine - INFO - Epoch(train) [1][520/604] lr: 1.0000e-02 eta: 0:07:32 time: 0.0326 data_time: 0.0237 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0249 loss: 0.0251 2022/09/08 03:06:18 - mmengine - INFO - Epoch(train) [1][540/604] lr: 1.0000e-02 eta: 0:07:28 time: 0.0337 data_time: 0.0248 memory: 25 grad_norm: 0.0041 temporal_iou_loss: 0.0257 loss: 0.0254 2022/09/08 03:06:19 - mmengine - INFO - Epoch(train) [1][560/604] lr: 1.0000e-02 eta: 0:07:25 time: 0.0325 data_time: 0.0236 memory: 25 grad_norm: 0.0031 temporal_iou_loss: 0.0312 loss: 0.0245 2022/09/08 03:06:20 - mmengine - INFO - Epoch(train) [1][580/604] lr: 1.0000e-02 eta: 0:07:24 time: 0.0392 data_time: 0.0290 memory: 25 grad_norm: 0.0031 temporal_iou_loss: 0.0258 loss: 0.0252 2022/09/08 03:06:20 - mmengine - INFO - Epoch(train) [1][600/604] lr: 1.0000e-02 eta: 0:07:20 time: 0.0287 data_time: 0.0199 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0241 loss: 0.0256 2022/09/08 03:06:20 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:06:20 - mmengine - INFO - Epoch(train) [1][604/604] lr: 1.0000e-02 eta: 0:07:20 time: 0.0292 data_time: 0.0207 memory: 25 grad_norm: 0.0032 temporal_iou_loss: 0.0445 loss: 0.0263 2022/09/08 03:06:20 - mmengine - INFO - Saving checkpoint at 1 epochs 2022/09/08 03:06:25 - mmengine - INFO - Epoch(train) [2][20/604] lr: 1.0000e-02 eta: 0:07:27 time: 0.0672 data_time: 0.0581 memory: 25 grad_norm: 0.0056 temporal_iou_loss: 0.0244 loss: 0.0263 2022/09/08 03:06:26 - mmengine - INFO - Epoch(train) [2][40/604] lr: 1.0000e-02 eta: 0:07:25 time: 0.0361 data_time: 0.0267 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0190 loss: 0.0255 2022/09/08 03:06:26 - mmengine - INFO - Epoch(train) [2][60/604] lr: 1.0000e-02 eta: 0:07:21 time: 0.0307 data_time: 0.0213 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0273 loss: 0.0243 2022/09/08 03:06:27 - mmengine - INFO - Epoch(train) [2][80/604] lr: 1.0000e-02 eta: 0:07:20 time: 0.0385 data_time: 0.0297 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0258 loss: 0.0245 2022/09/08 03:06:28 - mmengine - INFO - Epoch(train) [2][100/604] lr: 1.0000e-02 eta: 0:07:17 time: 0.0298 data_time: 0.0206 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0279 loss: 0.0247 2022/09/08 03:06:28 - mmengine - INFO - Epoch(train) [2][120/604] lr: 1.0000e-02 eta: 0:07:14 time: 0.0311 data_time: 0.0214 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0242 loss: 0.0254 2022/09/08 03:06:29 - mmengine - INFO - Epoch(train) [2][140/604] lr: 1.0000e-02 eta: 0:07:13 time: 0.0372 data_time: 0.0281 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0224 loss: 0.0252 2022/09/08 03:06:30 - mmengine - INFO - Epoch(train) [2][160/604] lr: 1.0000e-02 eta: 0:07:10 time: 0.0309 data_time: 0.0220 memory: 25 grad_norm: 0.0032 temporal_iou_loss: 0.0255 loss: 0.0252 2022/09/08 03:06:31 - mmengine - INFO - Epoch(train) [2][180/604] lr: 1.0000e-02 eta: 0:07:09 time: 0.0395 data_time: 0.0291 memory: 25 grad_norm: 0.0031 temporal_iou_loss: 0.0217 loss: 0.0245 2022/09/08 03:06:31 - mmengine - INFO - Epoch(train) [2][200/604] lr: 1.0000e-02 eta: 0:07:07 time: 0.0340 data_time: 0.0242 memory: 25 grad_norm: 0.0039 temporal_iou_loss: 0.0250 loss: 0.0264 2022/09/08 03:06:32 - mmengine - INFO - Epoch(train) [2][220/604] lr: 1.0000e-02 eta: 0:07:05 time: 0.0315 data_time: 0.0225 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0211 loss: 0.0244 2022/09/08 03:06:33 - mmengine - INFO - Epoch(train) [2][240/604] lr: 1.0000e-02 eta: 0:07:04 time: 0.0376 data_time: 0.0287 memory: 25 grad_norm: 0.0031 temporal_iou_loss: 0.0301 loss: 0.0245 2022/09/08 03:06:33 - mmengine - INFO - Epoch(train) [2][260/604] lr: 1.0000e-02 eta: 0:07:02 time: 0.0312 data_time: 0.0223 memory: 25 grad_norm: 0.0032 temporal_iou_loss: 0.0236 loss: 0.0244 2022/09/08 03:06:34 - mmengine - INFO - Epoch(train) [2][280/604] lr: 1.0000e-02 eta: 0:06:59 time: 0.0311 data_time: 0.0222 memory: 25 grad_norm: 0.0035 temporal_iou_loss: 0.0214 loss: 0.0249 2022/09/08 03:06:34 - mmengine - INFO - Epoch(train) [2][300/604] lr: 1.0000e-02 eta: 0:06:57 time: 0.0296 data_time: 0.0207 memory: 25 grad_norm: 0.0030 temporal_iou_loss: 0.0265 loss: 0.0256 2022/09/08 03:06:35 - mmengine - INFO - Epoch(train) [2][320/604] lr: 1.0000e-02 eta: 0:06:55 time: 0.0343 data_time: 0.0254 memory: 25 grad_norm: 0.0039 temporal_iou_loss: 0.0203 loss: 0.0239 2022/09/08 03:06:36 - mmengine - INFO - Epoch(train) [2][340/604] lr: 1.0000e-02 eta: 0:06:53 time: 0.0326 data_time: 0.0233 memory: 25 grad_norm: 0.0033 temporal_iou_loss: 0.0252 loss: 0.0247 2022/09/08 03:06:36 - mmengine - INFO - Epoch(train) [2][360/604] lr: 1.0000e-02 eta: 0:06:52 time: 0.0339 data_time: 0.0239 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0262 loss: 0.0259 2022/09/08 03:06:37 - mmengine - INFO - Epoch(train) [2][380/604] lr: 1.0000e-02 eta: 0:06:51 time: 0.0356 data_time: 0.0269 memory: 25 grad_norm: 0.0054 temporal_iou_loss: 0.0240 loss: 0.0257 2022/09/08 03:06:38 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:06:38 - mmengine - INFO - Epoch(train) [2][400/604] lr: 1.0000e-02 eta: 0:06:49 time: 0.0306 data_time: 0.0208 memory: 25 grad_norm: 0.0038 temporal_iou_loss: 0.0215 loss: 0.0253 2022/09/08 03:06:38 - mmengine - INFO - Epoch(train) [2][420/604] lr: 1.0000e-02 eta: 0:06:47 time: 0.0331 data_time: 0.0238 memory: 25 grad_norm: 0.0034 temporal_iou_loss: 0.0233 loss: 0.0254 2022/09/08 03:06:39 - mmengine - INFO - Epoch(train) [2][440/604] lr: 1.0000e-02 eta: 0:06:46 time: 0.0336 data_time: 0.0241 memory: 25 grad_norm: 0.0041 temporal_iou_loss: 0.0215 loss: 0.0245 2022/09/08 03:06:40 - mmengine - INFO - Epoch(train) [2][460/604] lr: 1.0000e-02 eta: 0:06:45 time: 0.0357 data_time: 0.0263 memory: 25 grad_norm: 0.0029 temporal_iou_loss: 0.0308 loss: 0.0250 2022/09/08 03:06:41 - mmengine - INFO - Epoch(train) [2][480/604] lr: 1.0000e-02 eta: 0:06:43 time: 0.0337 data_time: 0.0245 memory: 25 grad_norm: 0.0033 temporal_iou_loss: 0.0279 loss: 0.0252 2022/09/08 03:06:41 - mmengine - INFO - Epoch(train) [2][500/604] lr: 1.0000e-02 eta: 0:06:42 time: 0.0339 data_time: 0.0237 memory: 25 grad_norm: 0.0052 temporal_iou_loss: 0.0275 loss: 0.0256 2022/09/08 03:06:42 - mmengine - INFO - Epoch(train) [2][520/604] lr: 1.0000e-02 eta: 0:06:40 time: 0.0315 data_time: 0.0221 memory: 25 grad_norm: 0.0037 temporal_iou_loss: 0.0240 loss: 0.0258 2022/09/08 03:06:43 - mmengine - INFO - Epoch(train) [2][540/604] lr: 1.0000e-02 eta: 0:06:39 time: 0.0355 data_time: 0.0265 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0202 loss: 0.0239 2022/09/08 03:06:43 - mmengine - INFO - Epoch(train) [2][560/604] lr: 1.0000e-02 eta: 0:06:38 time: 0.0312 data_time: 0.0222 memory: 25 grad_norm: 0.0032 temporal_iou_loss: 0.0283 loss: 0.0246 2022/09/08 03:06:44 - mmengine - INFO - Epoch(train) [2][580/604] lr: 1.0000e-02 eta: 0:06:36 time: 0.0345 data_time: 0.0254 memory: 25 grad_norm: 0.0046 temporal_iou_loss: 0.0238 loss: 0.0250 2022/09/08 03:06:44 - mmengine - INFO - Epoch(train) [2][600/604] lr: 1.0000e-02 eta: 0:06:34 time: 0.0295 data_time: 0.0204 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0243 loss: 0.0250 2022/09/08 03:06:45 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:06:45 - mmengine - INFO - Epoch(train) [2][604/604] lr: 1.0000e-02 eta: 0:06:34 time: 0.0279 data_time: 0.0193 memory: 25 grad_norm: 0.0029 temporal_iou_loss: 0.0246 loss: 0.0247 2022/09/08 03:06:45 - mmengine - INFO - Saving checkpoint at 2 epochs 2022/09/08 03:06:49 - mmengine - INFO - Epoch(train) [3][20/604] lr: 1.0000e-02 eta: 0:06:39 time: 0.0748 data_time: 0.0648 memory: 25 grad_norm: 0.0040 temporal_iou_loss: 0.0248 loss: 0.0251 2022/09/08 03:06:50 - mmengine - INFO - Epoch(train) [3][40/604] lr: 1.0000e-02 eta: 0:06:38 time: 0.0375 data_time: 0.0273 memory: 25 grad_norm: 0.0031 temporal_iou_loss: 0.0216 loss: 0.0246 2022/09/08 03:06:51 - mmengine - INFO - Epoch(train) [3][60/604] lr: 1.0000e-02 eta: 0:06:37 time: 0.0326 data_time: 0.0233 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0234 loss: 0.0246 2022/09/08 03:06:51 - mmengine - INFO - Epoch(train) [3][80/604] lr: 1.0000e-02 eta: 0:06:35 time: 0.0319 data_time: 0.0224 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0212 loss: 0.0240 2022/09/08 03:06:52 - mmengine - INFO - Epoch(train) [3][100/604] lr: 1.0000e-02 eta: 0:06:34 time: 0.0311 data_time: 0.0221 memory: 25 grad_norm: 0.0035 temporal_iou_loss: 0.0236 loss: 0.0255 2022/09/08 03:06:53 - mmengine - INFO - Epoch(train) [3][120/604] lr: 1.0000e-02 eta: 0:06:33 time: 0.0370 data_time: 0.0280 memory: 25 grad_norm: 0.0030 temporal_iou_loss: 0.0275 loss: 0.0257 2022/09/08 03:06:53 - mmengine - INFO - Epoch(train) [3][140/604] lr: 1.0000e-02 eta: 0:06:32 time: 0.0319 data_time: 0.0230 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0252 loss: 0.0250 2022/09/08 03:06:54 - mmengine - INFO - Epoch(train) [3][160/604] lr: 1.0000e-02 eta: 0:06:31 time: 0.0394 data_time: 0.0295 memory: 25 grad_norm: 0.0020 temporal_iou_loss: 0.0300 loss: 0.0257 2022/09/08 03:06:55 - mmengine - INFO - Epoch(train) [3][180/604] lr: 1.0000e-02 eta: 0:06:30 time: 0.0322 data_time: 0.0233 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0283 loss: 0.0249 2022/09/08 03:06:55 - mmengine - INFO - Epoch(train) [3][200/604] lr: 1.0000e-02 eta: 0:06:28 time: 0.0294 data_time: 0.0205 memory: 25 grad_norm: 0.0033 temporal_iou_loss: 0.0218 loss: 0.0255 2022/09/08 03:06:56 - mmengine - INFO - Epoch(train) [3][220/604] lr: 1.0000e-02 eta: 0:06:27 time: 0.0319 data_time: 0.0231 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0237 loss: 0.0233 2022/09/08 03:06:57 - mmengine - INFO - Epoch(train) [3][240/604] lr: 1.0000e-02 eta: 0:06:26 time: 0.0335 data_time: 0.0247 memory: 25 grad_norm: 0.0044 temporal_iou_loss: 0.0255 loss: 0.0255 2022/09/08 03:06:57 - mmengine - INFO - Epoch(train) [3][260/604] lr: 1.0000e-02 eta: 0:06:25 time: 0.0346 data_time: 0.0257 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0240 loss: 0.0244 2022/09/08 03:06:58 - mmengine - INFO - Epoch(train) [3][280/604] lr: 1.0000e-02 eta: 0:06:23 time: 0.0323 data_time: 0.0234 memory: 25 grad_norm: 0.0040 temporal_iou_loss: 0.0287 loss: 0.0257 2022/09/08 03:06:59 - mmengine - INFO - Epoch(train) [3][300/604] lr: 1.0000e-02 eta: 0:06:23 time: 0.0363 data_time: 0.0272 memory: 25 grad_norm: 0.0039 temporal_iou_loss: 0.0270 loss: 0.0258 2022/09/08 03:06:59 - mmengine - INFO - Epoch(train) [3][320/604] lr: 1.0000e-02 eta: 0:06:22 time: 0.0337 data_time: 0.0245 memory: 25 grad_norm: 0.0038 temporal_iou_loss: 0.0240 loss: 0.0259 2022/09/08 03:07:00 - mmengine - INFO - Epoch(train) [3][340/604] lr: 1.0000e-02 eta: 0:06:21 time: 0.0373 data_time: 0.0281 memory: 25 grad_norm: 0.0032 temporal_iou_loss: 0.0245 loss: 0.0252 2022/09/08 03:07:01 - mmengine - INFO - Epoch(train) [3][360/604] lr: 1.0000e-02 eta: 0:06:20 time: 0.0346 data_time: 0.0255 memory: 25 grad_norm: 0.0044 temporal_iou_loss: 0.0233 loss: 0.0250 2022/09/08 03:07:02 - mmengine - INFO - Epoch(train) [3][380/604] lr: 1.0000e-02 eta: 0:06:19 time: 0.0345 data_time: 0.0252 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0243 loss: 0.0240 2022/09/08 03:07:02 - mmengine - INFO - Epoch(train) [3][400/604] lr: 1.0000e-02 eta: 0:06:18 time: 0.0319 data_time: 0.0220 memory: 25 grad_norm: 0.0030 temporal_iou_loss: 0.0216 loss: 0.0252 2022/09/08 03:07:03 - mmengine - INFO - Epoch(train) [3][420/604] lr: 1.0000e-02 eta: 0:06:17 time: 0.0342 data_time: 0.0242 memory: 25 grad_norm: 0.0031 temporal_iou_loss: 0.0246 loss: 0.0254 2022/09/08 03:07:04 - mmengine - INFO - Epoch(train) [3][440/604] lr: 1.0000e-02 eta: 0:06:16 time: 0.0339 data_time: 0.0238 memory: 25 grad_norm: 0.0038 temporal_iou_loss: 0.0264 loss: 0.0252 2022/09/08 03:07:04 - mmengine - INFO - Epoch(train) [3][460/604] lr: 1.0000e-02 eta: 0:06:15 time: 0.0328 data_time: 0.0238 memory: 25 grad_norm: 0.0039 temporal_iou_loss: 0.0265 loss: 0.0244 2022/09/08 03:07:05 - mmengine - INFO - Epoch(train) [3][480/604] lr: 1.0000e-02 eta: 0:06:14 time: 0.0402 data_time: 0.0312 memory: 25 grad_norm: 0.0047 temporal_iou_loss: 0.0309 loss: 0.0269 2022/09/08 03:07:06 - mmengine - INFO - Epoch(train) [3][500/604] lr: 1.0000e-02 eta: 0:06:13 time: 0.0321 data_time: 0.0231 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0231 loss: 0.0246 2022/09/08 03:07:06 - mmengine - INFO - Epoch(train) [3][520/604] lr: 1.0000e-02 eta: 0:06:13 time: 0.0408 data_time: 0.0319 memory: 25 grad_norm: 0.0041 temporal_iou_loss: 0.0255 loss: 0.0246 2022/09/08 03:07:07 - mmengine - INFO - Epoch(train) [3][540/604] lr: 1.0000e-02 eta: 0:06:12 time: 0.0300 data_time: 0.0210 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0252 loss: 0.0244 2022/09/08 03:07:08 - mmengine - INFO - Epoch(train) [3][560/604] lr: 1.0000e-02 eta: 0:06:10 time: 0.0316 data_time: 0.0226 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0262 loss: 0.0242 2022/09/08 03:07:08 - mmengine - INFO - Epoch(train) [3][580/604] lr: 1.0000e-02 eta: 0:06:09 time: 0.0302 data_time: 0.0213 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0214 loss: 0.0255 2022/09/08 03:07:09 - mmengine - INFO - Epoch(train) [3][600/604] lr: 1.0000e-02 eta: 0:06:08 time: 0.0316 data_time: 0.0228 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0220 loss: 0.0243 2022/09/08 03:07:09 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:07:09 - mmengine - INFO - Epoch(train) [3][604/604] lr: 1.0000e-02 eta: 0:06:08 time: 0.0297 data_time: 0.0211 memory: 25 grad_norm: 0.0032 temporal_iou_loss: 0.0118 loss: 0.0237 2022/09/08 03:07:09 - mmengine - INFO - Saving checkpoint at 3 epochs 2022/09/08 03:07:14 - mmengine - INFO - Epoch(train) [4][20/604] lr: 1.0000e-02 eta: 0:06:10 time: 0.0673 data_time: 0.0545 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0250 loss: 0.0240 2022/09/08 03:07:15 - mmengine - INFO - Epoch(train) [4][40/604] lr: 1.0000e-02 eta: 0:06:10 time: 0.0427 data_time: 0.0327 memory: 25 grad_norm: 0.0030 temporal_iou_loss: 0.0251 loss: 0.0250 2022/09/08 03:07:15 - mmengine - INFO - Epoch(train) [4][60/604] lr: 1.0000e-02 eta: 0:06:09 time: 0.0362 data_time: 0.0265 memory: 25 grad_norm: 0.0035 temporal_iou_loss: 0.0235 loss: 0.0259 2022/09/08 03:07:16 - mmengine - INFO - Epoch(train) [4][80/604] lr: 1.0000e-02 eta: 0:06:09 time: 0.0404 data_time: 0.0292 memory: 25 grad_norm: 0.0040 temporal_iou_loss: 0.0255 loss: 0.0251 2022/09/08 03:07:17 - mmengine - INFO - Epoch(train) [4][100/604] lr: 1.0000e-02 eta: 0:06:08 time: 0.0377 data_time: 0.0288 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0234 loss: 0.0240 2022/09/08 03:07:18 - mmengine - INFO - Epoch(train) [4][120/604] lr: 1.0000e-02 eta: 0:06:07 time: 0.0340 data_time: 0.0251 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0274 loss: 0.0257 2022/09/08 03:07:18 - mmengine - INFO - Epoch(train) [4][140/604] lr: 1.0000e-02 eta: 0:06:06 time: 0.0305 data_time: 0.0216 memory: 25 grad_norm: 0.0033 temporal_iou_loss: 0.0221 loss: 0.0237 2022/09/08 03:07:19 - mmengine - INFO - Epoch(train) [4][160/604] lr: 1.0000e-02 eta: 0:06:05 time: 0.0304 data_time: 0.0216 memory: 25 grad_norm: 0.0029 temporal_iou_loss: 0.0284 loss: 0.0256 2022/09/08 03:07:19 - mmengine - INFO - Epoch(train) [4][180/604] lr: 1.0000e-02 eta: 0:06:04 time: 0.0355 data_time: 0.0266 memory: 25 grad_norm: 0.0042 temporal_iou_loss: 0.0286 loss: 0.0254 2022/09/08 03:07:20 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:07:20 - mmengine - INFO - Epoch(train) [4][200/604] lr: 1.0000e-02 eta: 0:06:03 time: 0.0330 data_time: 0.0241 memory: 25 grad_norm: 0.0029 temporal_iou_loss: 0.0265 loss: 0.0244 2022/09/08 03:07:21 - mmengine - INFO - Epoch(train) [4][220/604] lr: 1.0000e-02 eta: 0:06:02 time: 0.0331 data_time: 0.0234 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0263 loss: 0.0247 2022/09/08 03:07:21 - mmengine - INFO - Epoch(train) [4][240/604] lr: 1.0000e-02 eta: 0:06:01 time: 0.0313 data_time: 0.0225 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0248 loss: 0.0246 2022/09/08 03:07:22 - mmengine - INFO - Epoch(train) [4][260/604] lr: 1.0000e-02 eta: 0:05:59 time: 0.0315 data_time: 0.0227 memory: 25 grad_norm: 0.0018 temporal_iou_loss: 0.0274 loss: 0.0248 2022/09/08 03:07:23 - mmengine - INFO - Epoch(train) [4][280/604] lr: 1.0000e-02 eta: 0:05:59 time: 0.0371 data_time: 0.0274 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0211 loss: 0.0240 2022/09/08 03:07:23 - mmengine - INFO - Epoch(train) [4][300/604] lr: 1.0000e-02 eta: 0:05:58 time: 0.0334 data_time: 0.0244 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0235 loss: 0.0254 2022/09/08 03:07:24 - mmengine - INFO - Epoch(train) [4][320/604] lr: 1.0000e-02 eta: 0:05:58 time: 0.0413 data_time: 0.0322 memory: 25 grad_norm: 0.0038 temporal_iou_loss: 0.0240 loss: 0.0268 2022/09/08 03:07:25 - mmengine - INFO - Epoch(train) [4][340/604] lr: 1.0000e-02 eta: 0:05:56 time: 0.0311 data_time: 0.0221 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0297 loss: 0.0238 2022/09/08 03:07:26 - mmengine - INFO - Epoch(train) [4][360/604] lr: 1.0000e-02 eta: 0:05:55 time: 0.0317 data_time: 0.0226 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0216 loss: 0.0251 2022/09/08 03:07:26 - mmengine - INFO - Epoch(train) [4][380/604] lr: 1.0000e-02 eta: 0:05:55 time: 0.0372 data_time: 0.0281 memory: 25 grad_norm: 0.0036 temporal_iou_loss: 0.0303 loss: 0.0258 2022/09/08 03:07:27 - mmengine - INFO - Epoch(train) [4][400/604] lr: 1.0000e-02 eta: 0:05:54 time: 0.0329 data_time: 0.0237 memory: 25 grad_norm: 0.0036 temporal_iou_loss: 0.0230 loss: 0.0258 2022/09/08 03:07:28 - mmengine - INFO - Epoch(train) [4][420/604] lr: 1.0000e-02 eta: 0:05:52 time: 0.0304 data_time: 0.0214 memory: 25 grad_norm: 0.0036 temporal_iou_loss: 0.0234 loss: 0.0250 2022/09/08 03:07:28 - mmengine - INFO - Epoch(train) [4][440/604] lr: 1.0000e-02 eta: 0:05:52 time: 0.0338 data_time: 0.0244 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0219 loss: 0.0244 2022/09/08 03:07:29 - mmengine - INFO - Epoch(train) [4][460/604] lr: 1.0000e-02 eta: 0:05:51 time: 0.0360 data_time: 0.0263 memory: 25 grad_norm: 0.0032 temporal_iou_loss: 0.0224 loss: 0.0249 2022/09/08 03:07:30 - mmengine - INFO - Epoch(train) [4][480/604] lr: 1.0000e-02 eta: 0:05:50 time: 0.0296 data_time: 0.0203 memory: 25 grad_norm: 0.0037 temporal_iou_loss: 0.0298 loss: 0.0246 2022/09/08 03:07:30 - mmengine - INFO - Epoch(train) [4][500/604] lr: 1.0000e-02 eta: 0:05:49 time: 0.0351 data_time: 0.0257 memory: 25 grad_norm: 0.0032 temporal_iou_loss: 0.0220 loss: 0.0240 2022/09/08 03:07:31 - mmengine - INFO - Epoch(train) [4][520/604] lr: 1.0000e-02 eta: 0:05:48 time: 0.0344 data_time: 0.0246 memory: 25 grad_norm: 0.0035 temporal_iou_loss: 0.0223 loss: 0.0246 2022/09/08 03:07:32 - mmengine - INFO - Epoch(train) [4][540/604] lr: 1.0000e-02 eta: 0:05:47 time: 0.0324 data_time: 0.0229 memory: 25 grad_norm: 0.0029 temporal_iou_loss: 0.0261 loss: 0.0248 2022/09/08 03:07:32 - mmengine - INFO - Epoch(train) [4][560/604] lr: 1.0000e-02 eta: 0:05:46 time: 0.0300 data_time: 0.0207 memory: 25 grad_norm: 0.0030 temporal_iou_loss: 0.0231 loss: 0.0250 2022/09/08 03:07:33 - mmengine - INFO - Epoch(train) [4][580/604] lr: 1.0000e-02 eta: 0:05:45 time: 0.0365 data_time: 0.0267 memory: 25 grad_norm: 0.0030 temporal_iou_loss: 0.0259 loss: 0.0245 2022/09/08 03:07:33 - mmengine - INFO - Epoch(train) [4][600/604] lr: 1.0000e-02 eta: 0:05:44 time: 0.0288 data_time: 0.0194 memory: 25 grad_norm: 0.0043 temporal_iou_loss: 0.0227 loss: 0.0256 2022/09/08 03:07:34 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:07:34 - mmengine - INFO - Epoch(train) [4][604/604] lr: 1.0000e-02 eta: 0:05:44 time: 0.0272 data_time: 0.0182 memory: 24 grad_norm: 0.0043 temporal_iou_loss: 0.0144 loss: 0.0247 2022/09/08 03:07:34 - mmengine - INFO - Saving checkpoint at 4 epochs 2022/09/08 03:07:38 - mmengine - INFO - Epoch(train) [5][20/604] lr: 1.0000e-02 eta: 0:05:44 time: 0.0585 data_time: 0.0485 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0205 loss: 0.0245 2022/09/08 03:07:39 - mmengine - INFO - Epoch(train) [5][40/604] lr: 1.0000e-02 eta: 0:05:43 time: 0.0308 data_time: 0.0214 memory: 25 grad_norm: 0.0031 temporal_iou_loss: 0.0242 loss: 0.0242 2022/09/08 03:07:40 - mmengine - INFO - Epoch(train) [5][60/604] lr: 1.0000e-02 eta: 0:05:43 time: 0.0429 data_time: 0.0336 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0279 loss: 0.0252 2022/09/08 03:07:40 - mmengine - INFO - Epoch(train) [5][80/604] lr: 1.0000e-02 eta: 0:05:43 time: 0.0379 data_time: 0.0287 memory: 25 grad_norm: 0.0032 temporal_iou_loss: 0.0266 loss: 0.0251 2022/09/08 03:07:41 - mmengine - INFO - Epoch(train) [5][100/604] lr: 1.0000e-02 eta: 0:05:42 time: 0.0345 data_time: 0.0239 memory: 25 grad_norm: 0.0017 temporal_iou_loss: 0.0233 loss: 0.0243 2022/09/08 03:07:42 - mmengine - INFO - Epoch(train) [5][120/604] lr: 1.0000e-02 eta: 0:05:41 time: 0.0322 data_time: 0.0232 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0241 loss: 0.0239 2022/09/08 03:07:42 - mmengine - INFO - Epoch(train) [5][140/604] lr: 1.0000e-02 eta: 0:05:40 time: 0.0355 data_time: 0.0266 memory: 25 grad_norm: 0.0032 temporal_iou_loss: 0.0223 loss: 0.0251 2022/09/08 03:07:43 - mmengine - INFO - Epoch(train) [5][160/604] lr: 1.0000e-02 eta: 0:05:39 time: 0.0312 data_time: 0.0218 memory: 25 grad_norm: 0.0017 temporal_iou_loss: 0.0228 loss: 0.0247 2022/09/08 03:07:44 - mmengine - INFO - Epoch(train) [5][180/604] lr: 1.0000e-02 eta: 0:05:38 time: 0.0305 data_time: 0.0214 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0232 loss: 0.0248 2022/09/08 03:07:44 - mmengine - INFO - Epoch(train) [5][200/604] lr: 1.0000e-02 eta: 0:05:37 time: 0.0352 data_time: 0.0261 memory: 25 grad_norm: 0.0033 temporal_iou_loss: 0.0267 loss: 0.0254 2022/09/08 03:07:45 - mmengine - INFO - Epoch(train) [5][220/604] lr: 1.0000e-02 eta: 0:05:36 time: 0.0368 data_time: 0.0277 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0228 loss: 0.0254 2022/09/08 03:07:46 - mmengine - INFO - Epoch(train) [5][240/604] lr: 1.0000e-02 eta: 0:05:35 time: 0.0300 data_time: 0.0210 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0227 loss: 0.0249 2022/09/08 03:07:46 - mmengine - INFO - Epoch(train) [5][260/604] lr: 1.0000e-02 eta: 0:05:35 time: 0.0355 data_time: 0.0264 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0237 loss: 0.0251 2022/09/08 03:07:47 - mmengine - INFO - Epoch(train) [5][280/604] lr: 1.0000e-02 eta: 0:05:34 time: 0.0297 data_time: 0.0208 memory: 25 grad_norm: 0.0029 temporal_iou_loss: 0.0212 loss: 0.0252 2022/09/08 03:07:48 - mmengine - INFO - Epoch(train) [5][300/604] lr: 1.0000e-02 eta: 0:05:33 time: 0.0326 data_time: 0.0237 memory: 25 grad_norm: 0.0057 temporal_iou_loss: 0.0249 loss: 0.0252 2022/09/08 03:07:48 - mmengine - INFO - Epoch(train) [5][320/604] lr: 1.0000e-02 eta: 0:05:32 time: 0.0329 data_time: 0.0240 memory: 25 grad_norm: 0.0044 temporal_iou_loss: 0.0288 loss: 0.0263 2022/09/08 03:07:49 - mmengine - INFO - Epoch(train) [5][340/604] lr: 1.0000e-02 eta: 0:05:31 time: 0.0327 data_time: 0.0238 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0225 loss: 0.0249 2022/09/08 03:07:50 - mmengine - INFO - Epoch(train) [5][360/604] lr: 1.0000e-02 eta: 0:05:30 time: 0.0377 data_time: 0.0286 memory: 25 grad_norm: 0.0035 temporal_iou_loss: 0.0267 loss: 0.0250 2022/09/08 03:07:50 - mmengine - INFO - Epoch(train) [5][380/604] lr: 1.0000e-02 eta: 0:05:29 time: 0.0331 data_time: 0.0230 memory: 25 grad_norm: 0.0055 temporal_iou_loss: 0.0293 loss: 0.0254 2022/09/08 03:07:51 - mmengine - INFO - Epoch(train) [5][400/604] lr: 1.0000e-02 eta: 0:05:29 time: 0.0392 data_time: 0.0299 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0253 loss: 0.0247 2022/09/08 03:07:52 - mmengine - INFO - Epoch(train) [5][420/604] lr: 1.0000e-02 eta: 0:05:28 time: 0.0318 data_time: 0.0223 memory: 25 grad_norm: 0.0032 temporal_iou_loss: 0.0253 loss: 0.0247 2022/09/08 03:07:52 - mmengine - INFO - Epoch(train) [5][440/604] lr: 1.0000e-02 eta: 0:05:27 time: 0.0307 data_time: 0.0211 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0234 loss: 0.0244 2022/09/08 03:07:53 - mmengine - INFO - Epoch(train) [5][460/604] lr: 1.0000e-02 eta: 0:05:27 time: 0.0454 data_time: 0.0345 memory: 25 grad_norm: 0.0029 temporal_iou_loss: 0.0226 loss: 0.0248 2022/09/08 03:07:54 - mmengine - INFO - Epoch(train) [5][480/604] lr: 1.0000e-02 eta: 0:05:26 time: 0.0353 data_time: 0.0251 memory: 25 grad_norm: 0.0033 temporal_iou_loss: 0.0242 loss: 0.0243 2022/09/08 03:07:55 - mmengine - INFO - Epoch(train) [5][500/604] lr: 1.0000e-02 eta: 0:05:25 time: 0.0316 data_time: 0.0217 memory: 25 grad_norm: 0.0031 temporal_iou_loss: 0.0252 loss: 0.0252 2022/09/08 03:07:55 - mmengine - INFO - Epoch(train) [5][520/604] lr: 1.0000e-02 eta: 0:05:24 time: 0.0346 data_time: 0.0247 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0218 loss: 0.0244 2022/09/08 03:07:56 - mmengine - INFO - Epoch(train) [5][540/604] lr: 1.0000e-02 eta: 0:05:24 time: 0.0370 data_time: 0.0272 memory: 25 grad_norm: 0.0041 temporal_iou_loss: 0.0283 loss: 0.0255 2022/09/08 03:07:57 - mmengine - INFO - Epoch(train) [5][560/604] lr: 1.0000e-02 eta: 0:05:23 time: 0.0359 data_time: 0.0261 memory: 25 grad_norm: 0.0050 temporal_iou_loss: 0.0225 loss: 0.0256 2022/09/08 03:07:57 - mmengine - INFO - Epoch(train) [5][580/604] lr: 1.0000e-02 eta: 0:05:22 time: 0.0355 data_time: 0.0257 memory: 25 grad_norm: 0.0036 temporal_iou_loss: 0.0244 loss: 0.0257 2022/09/08 03:07:58 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:07:58 - mmengine - INFO - Epoch(train) [5][600/604] lr: 1.0000e-02 eta: 0:05:22 time: 0.0492 data_time: 0.0339 memory: 25 grad_norm: 0.0031 temporal_iou_loss: 0.0241 loss: 0.0252 2022/09/08 03:07:59 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:07:59 - mmengine - INFO - Epoch(train) [5][604/604] lr: 1.0000e-02 eta: 0:05:22 time: 0.0455 data_time: 0.0313 memory: 25 grad_norm: 0.0033 temporal_iou_loss: 0.0249 loss: 0.0249 2022/09/08 03:07:59 - mmengine - INFO - Saving checkpoint at 5 epochs 2022/09/08 03:08:03 - mmengine - INFO - Epoch(train) [6][20/604] lr: 1.0000e-02 eta: 0:05:23 time: 0.0639 data_time: 0.0540 memory: 25 grad_norm: 0.0036 temporal_iou_loss: 0.0271 loss: 0.0249 2022/09/08 03:08:04 - mmengine - INFO - Epoch(train) [6][40/604] lr: 1.0000e-02 eta: 0:05:22 time: 0.0319 data_time: 0.0224 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0218 loss: 0.0249 2022/09/08 03:08:05 - mmengine - INFO - Epoch(train) [6][60/604] lr: 1.0000e-02 eta: 0:05:21 time: 0.0347 data_time: 0.0255 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0316 loss: 0.0252 2022/09/08 03:08:05 - mmengine - INFO - Epoch(train) [6][80/604] lr: 1.0000e-02 eta: 0:05:20 time: 0.0334 data_time: 0.0233 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0260 loss: 0.0256 2022/09/08 03:08:06 - mmengine - INFO - Epoch(train) [6][100/604] lr: 1.0000e-02 eta: 0:05:19 time: 0.0297 data_time: 0.0204 memory: 25 grad_norm: 0.0037 temporal_iou_loss: 0.0241 loss: 0.0248 2022/09/08 03:08:07 - mmengine - INFO - Epoch(train) [6][120/604] lr: 1.0000e-02 eta: 0:05:18 time: 0.0325 data_time: 0.0237 memory: 25 grad_norm: 0.0042 temporal_iou_loss: 0.0288 loss: 0.0250 2022/09/08 03:08:07 - mmengine - INFO - Epoch(train) [6][140/604] lr: 1.0000e-02 eta: 0:05:18 time: 0.0376 data_time: 0.0288 memory: 25 grad_norm: 0.0044 temporal_iou_loss: 0.0221 loss: 0.0250 2022/09/08 03:08:08 - mmengine - INFO - Epoch(train) [6][160/604] lr: 1.0000e-02 eta: 0:05:17 time: 0.0331 data_time: 0.0243 memory: 25 grad_norm: 0.0036 temporal_iou_loss: 0.0235 loss: 0.0255 2022/09/08 03:08:09 - mmengine - INFO - Epoch(train) [6][180/604] lr: 1.0000e-02 eta: 0:05:16 time: 0.0358 data_time: 0.0254 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0244 loss: 0.0249 2022/09/08 03:08:09 - mmengine - INFO - Epoch(train) [6][200/604] lr: 1.0000e-02 eta: 0:05:15 time: 0.0327 data_time: 0.0235 memory: 25 grad_norm: 0.0029 temporal_iou_loss: 0.0292 loss: 0.0248 2022/09/08 03:08:10 - mmengine - INFO - Epoch(train) [6][220/604] lr: 1.0000e-02 eta: 0:05:15 time: 0.0340 data_time: 0.0250 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0304 loss: 0.0263 2022/09/08 03:08:11 - mmengine - INFO - Epoch(train) [6][240/604] lr: 1.0000e-02 eta: 0:05:14 time: 0.0308 data_time: 0.0213 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0266 loss: 0.0250 2022/09/08 03:08:11 - mmengine - INFO - Epoch(train) [6][260/604] lr: 1.0000e-02 eta: 0:05:13 time: 0.0351 data_time: 0.0256 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0222 loss: 0.0241 2022/09/08 03:08:12 - mmengine - INFO - Epoch(train) [6][280/604] lr: 1.0000e-02 eta: 0:05:12 time: 0.0298 data_time: 0.0207 memory: 25 grad_norm: 0.0031 temporal_iou_loss: 0.0288 loss: 0.0249 2022/09/08 03:08:13 - mmengine - INFO - Epoch(train) [6][300/604] lr: 1.0000e-02 eta: 0:05:11 time: 0.0335 data_time: 0.0245 memory: 25 grad_norm: 0.0037 temporal_iou_loss: 0.0262 loss: 0.0249 2022/09/08 03:08:13 - mmengine - INFO - Epoch(train) [6][320/604] lr: 1.0000e-02 eta: 0:05:10 time: 0.0336 data_time: 0.0249 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0198 loss: 0.0245 2022/09/08 03:08:14 - mmengine - INFO - Epoch(train) [6][340/604] lr: 1.0000e-02 eta: 0:05:10 time: 0.0370 data_time: 0.0282 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0249 loss: 0.0248 2022/09/08 03:08:15 - mmengine - INFO - Epoch(train) [6][360/604] lr: 1.0000e-02 eta: 0:05:09 time: 0.0378 data_time: 0.0287 memory: 25 grad_norm: 0.0038 temporal_iou_loss: 0.0221 loss: 0.0263 2022/09/08 03:08:15 - mmengine - INFO - Epoch(train) [6][380/604] lr: 1.0000e-02 eta: 0:05:08 time: 0.0349 data_time: 0.0258 memory: 25 grad_norm: 0.0039 temporal_iou_loss: 0.0241 loss: 0.0250 2022/09/08 03:08:16 - mmengine - INFO - Epoch(train) [6][400/604] lr: 1.0000e-02 eta: 0:05:08 time: 0.0380 data_time: 0.0287 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0217 loss: 0.0248 2022/09/08 03:08:17 - mmengine - INFO - Epoch(train) [6][420/604] lr: 1.0000e-02 eta: 0:05:07 time: 0.0335 data_time: 0.0244 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0224 loss: 0.0253 2022/09/08 03:08:18 - mmengine - INFO - Epoch(train) [6][440/604] lr: 1.0000e-02 eta: 0:05:06 time: 0.0347 data_time: 0.0257 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0191 loss: 0.0244 2022/09/08 03:08:18 - mmengine - INFO - Epoch(train) [6][460/604] lr: 1.0000e-02 eta: 0:05:05 time: 0.0376 data_time: 0.0286 memory: 25 grad_norm: 0.0033 temporal_iou_loss: 0.0237 loss: 0.0240 2022/09/08 03:08:19 - mmengine - INFO - Epoch(train) [6][480/604] lr: 1.0000e-02 eta: 0:05:05 time: 0.0405 data_time: 0.0312 memory: 25 grad_norm: 0.0035 temporal_iou_loss: 0.0236 loss: 0.0244 2022/09/08 03:08:20 - mmengine - INFO - Epoch(train) [6][500/604] lr: 1.0000e-02 eta: 0:05:04 time: 0.0336 data_time: 0.0246 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0253 loss: 0.0255 2022/09/08 03:08:20 - mmengine - INFO - Epoch(train) [6][520/604] lr: 1.0000e-02 eta: 0:05:03 time: 0.0316 data_time: 0.0226 memory: 25 grad_norm: 0.0031 temporal_iou_loss: 0.0238 loss: 0.0239 2022/09/08 03:08:21 - mmengine - INFO - Epoch(train) [6][540/604] lr: 1.0000e-02 eta: 0:05:02 time: 0.0339 data_time: 0.0250 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0221 loss: 0.0238 2022/09/08 03:08:22 - mmengine - INFO - Epoch(train) [6][560/604] lr: 1.0000e-02 eta: 0:05:02 time: 0.0330 data_time: 0.0239 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0227 loss: 0.0258 2022/09/08 03:08:22 - mmengine - INFO - Epoch(train) [6][580/604] lr: 1.0000e-02 eta: 0:05:01 time: 0.0309 data_time: 0.0217 memory: 25 grad_norm: 0.0032 temporal_iou_loss: 0.0240 loss: 0.0248 2022/09/08 03:08:23 - mmengine - INFO - Epoch(train) [6][600/604] lr: 1.0000e-02 eta: 0:05:00 time: 0.0304 data_time: 0.0212 memory: 25 grad_norm: 0.0037 temporal_iou_loss: 0.0294 loss: 0.0253 2022/09/08 03:08:23 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:08:23 - mmengine - INFO - Epoch(train) [6][604/604] lr: 1.0000e-02 eta: 0:05:00 time: 0.0283 data_time: 0.0196 memory: 25 grad_norm: 0.0030 temporal_iou_loss: 0.0178 loss: 0.0248 2022/09/08 03:08:23 - mmengine - INFO - Saving checkpoint at 6 epochs 2022/09/08 03:08:28 - mmengine - INFO - Epoch(train) [7][20/604] lr: 1.0000e-02 eta: 0:05:00 time: 0.0612 data_time: 0.0523 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0248 loss: 0.0249 2022/09/08 03:08:28 - mmengine - INFO - Epoch(train) [7][40/604] lr: 1.0000e-02 eta: 0:04:59 time: 0.0329 data_time: 0.0236 memory: 25 grad_norm: 0.0043 temporal_iou_loss: 0.0240 loss: 0.0251 2022/09/08 03:08:29 - mmengine - INFO - Epoch(train) [7][60/604] lr: 1.0000e-02 eta: 0:04:59 time: 0.0432 data_time: 0.0341 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0225 loss: 0.0257 2022/09/08 03:08:30 - mmengine - INFO - Epoch(train) [7][80/604] lr: 1.0000e-02 eta: 0:04:58 time: 0.0337 data_time: 0.0248 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0230 loss: 0.0250 2022/09/08 03:08:31 - mmengine - INFO - Epoch(train) [7][100/604] lr: 1.0000e-02 eta: 0:04:57 time: 0.0356 data_time: 0.0267 memory: 25 grad_norm: 0.0041 temporal_iou_loss: 0.0251 loss: 0.0257 2022/09/08 03:08:31 - mmengine - INFO - Epoch(train) [7][120/604] lr: 1.0000e-02 eta: 0:04:56 time: 0.0310 data_time: 0.0222 memory: 25 grad_norm: 0.0036 temporal_iou_loss: 0.0237 loss: 0.0245 2022/09/08 03:08:32 - mmengine - INFO - Epoch(train) [7][140/604] lr: 1.0000e-02 eta: 0:04:55 time: 0.0319 data_time: 0.0227 memory: 25 grad_norm: 0.0043 temporal_iou_loss: 0.0270 loss: 0.0263 2022/09/08 03:08:33 - mmengine - INFO - Epoch(train) [7][160/604] lr: 1.0000e-02 eta: 0:04:54 time: 0.0327 data_time: 0.0232 memory: 25 grad_norm: 0.0036 temporal_iou_loss: 0.0275 loss: 0.0247 2022/09/08 03:08:33 - mmengine - INFO - Epoch(train) [7][180/604] lr: 1.0000e-02 eta: 0:04:54 time: 0.0318 data_time: 0.0227 memory: 25 grad_norm: 0.0031 temporal_iou_loss: 0.0201 loss: 0.0246 2022/09/08 03:08:34 - mmengine - INFO - Epoch(train) [7][200/604] lr: 1.0000e-02 eta: 0:04:53 time: 0.0366 data_time: 0.0276 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0235 loss: 0.0248 2022/09/08 03:08:35 - mmengine - INFO - Epoch(train) [7][220/604] lr: 1.0000e-02 eta: 0:04:52 time: 0.0323 data_time: 0.0232 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0251 loss: 0.0246 2022/09/08 03:08:35 - mmengine - INFO - Epoch(train) [7][240/604] lr: 1.0000e-02 eta: 0:04:51 time: 0.0305 data_time: 0.0216 memory: 25 grad_norm: 0.0020 temporal_iou_loss: 0.0231 loss: 0.0254 2022/09/08 03:08:36 - mmengine - INFO - Epoch(train) [7][260/604] lr: 1.0000e-02 eta: 0:04:51 time: 0.0384 data_time: 0.0293 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0240 loss: 0.0247 2022/09/08 03:08:37 - mmengine - INFO - Epoch(train) [7][280/604] lr: 1.0000e-02 eta: 0:04:50 time: 0.0365 data_time: 0.0275 memory: 25 grad_norm: 0.0032 temporal_iou_loss: 0.0279 loss: 0.0246 2022/09/08 03:08:37 - mmengine - INFO - Epoch(train) [7][300/604] lr: 1.0000e-02 eta: 0:04:49 time: 0.0355 data_time: 0.0266 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0199 loss: 0.0243 2022/09/08 03:08:38 - mmengine - INFO - Epoch(train) [7][320/604] lr: 1.0000e-02 eta: 0:04:48 time: 0.0317 data_time: 0.0227 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0256 loss: 0.0260 2022/09/08 03:08:39 - mmengine - INFO - Epoch(train) [7][340/604] lr: 1.0000e-02 eta: 0:04:47 time: 0.0322 data_time: 0.0230 memory: 25 grad_norm: 0.0032 temporal_iou_loss: 0.0290 loss: 0.0256 2022/09/08 03:08:39 - mmengine - INFO - Epoch(train) [7][360/604] lr: 1.0000e-02 eta: 0:04:47 time: 0.0339 data_time: 0.0249 memory: 25 grad_norm: 0.0029 temporal_iou_loss: 0.0238 loss: 0.0245 2022/09/08 03:08:40 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:08:40 - mmengine - INFO - Epoch(train) [7][380/604] lr: 1.0000e-02 eta: 0:04:46 time: 0.0372 data_time: 0.0274 memory: 25 grad_norm: 0.0032 temporal_iou_loss: 0.0296 loss: 0.0252 2022/09/08 03:08:41 - mmengine - INFO - Epoch(train) [7][400/604] lr: 1.0000e-02 eta: 0:04:45 time: 0.0337 data_time: 0.0246 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0296 loss: 0.0246 2022/09/08 03:08:41 - mmengine - INFO - Epoch(train) [7][420/604] lr: 1.0000e-02 eta: 0:04:44 time: 0.0348 data_time: 0.0258 memory: 25 grad_norm: 0.0038 temporal_iou_loss: 0.0300 loss: 0.0258 2022/09/08 03:08:42 - mmengine - INFO - Epoch(train) [7][440/604] lr: 1.0000e-02 eta: 0:04:44 time: 0.0326 data_time: 0.0236 memory: 25 grad_norm: 0.0036 temporal_iou_loss: 0.0273 loss: 0.0247 2022/09/08 03:08:43 - mmengine - INFO - Epoch(train) [7][460/604] lr: 1.0000e-02 eta: 0:04:43 time: 0.0307 data_time: 0.0214 memory: 25 grad_norm: 0.0020 temporal_iou_loss: 0.0251 loss: 0.0239 2022/09/08 03:08:43 - mmengine - INFO - Epoch(train) [7][480/604] lr: 1.0000e-02 eta: 0:04:42 time: 0.0357 data_time: 0.0255 memory: 25 grad_norm: 0.0059 temporal_iou_loss: 0.0238 loss: 0.0252 2022/09/08 03:08:44 - mmengine - INFO - Epoch(train) [7][500/604] lr: 1.0000e-02 eta: 0:04:41 time: 0.0349 data_time: 0.0257 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0249 loss: 0.0245 2022/09/08 03:08:45 - mmengine - INFO - Epoch(train) [7][520/604] lr: 1.0000e-02 eta: 0:04:41 time: 0.0385 data_time: 0.0287 memory: 25 grad_norm: 0.0036 temporal_iou_loss: 0.0201 loss: 0.0245 2022/09/08 03:08:46 - mmengine - INFO - Epoch(train) [7][540/604] lr: 1.0000e-02 eta: 0:04:40 time: 0.0334 data_time: 0.0243 memory: 25 grad_norm: 0.0031 temporal_iou_loss: 0.0255 loss: 0.0245 2022/09/08 03:08:46 - mmengine - INFO - Epoch(train) [7][560/604] lr: 1.0000e-02 eta: 0:04:39 time: 0.0301 data_time: 0.0212 memory: 25 grad_norm: 0.0033 temporal_iou_loss: 0.0191 loss: 0.0244 2022/09/08 03:08:47 - mmengine - INFO - Epoch(train) [7][580/604] lr: 1.0000e-02 eta: 0:04:38 time: 0.0316 data_time: 0.0227 memory: 25 grad_norm: 0.0037 temporal_iou_loss: 0.0220 loss: 0.0254 2022/09/08 03:08:47 - mmengine - INFO - Epoch(train) [7][600/604] lr: 1.0000e-02 eta: 0:04:37 time: 0.0323 data_time: 0.0235 memory: 25 grad_norm: 0.0034 temporal_iou_loss: 0.0248 loss: 0.0253 2022/09/08 03:08:47 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:08:47 - mmengine - INFO - Epoch(train) [7][604/604] lr: 1.0000e-02 eta: 0:04:37 time: 0.0312 data_time: 0.0227 memory: 25 grad_norm: 0.0035 temporal_iou_loss: 0.0189 loss: 0.0247 2022/09/08 03:08:47 - mmengine - INFO - Saving checkpoint at 7 epochs 2022/09/08 03:08:52 - mmengine - INFO - Epoch(train) [8][20/604] lr: 1.0000e-02 eta: 0:04:37 time: 0.0647 data_time: 0.0558 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0264 loss: 0.0245 2022/09/08 03:08:53 - mmengine - INFO - Epoch(train) [8][40/604] lr: 1.0000e-02 eta: 0:04:37 time: 0.0371 data_time: 0.0281 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0218 loss: 0.0260 2022/09/08 03:08:54 - mmengine - INFO - Epoch(train) [8][60/604] lr: 1.0000e-02 eta: 0:04:36 time: 0.0375 data_time: 0.0283 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0226 loss: 0.0237 2022/09/08 03:08:54 - mmengine - INFO - Epoch(train) [8][80/604] lr: 1.0000e-02 eta: 0:04:35 time: 0.0299 data_time: 0.0209 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0250 loss: 0.0240 2022/09/08 03:08:55 - mmengine - INFO - Epoch(train) [8][100/604] lr: 1.0000e-02 eta: 0:04:34 time: 0.0316 data_time: 0.0228 memory: 25 grad_norm: 0.0037 temporal_iou_loss: 0.0256 loss: 0.0241 2022/09/08 03:08:55 - mmengine - INFO - Epoch(train) [8][120/604] lr: 1.0000e-02 eta: 0:04:33 time: 0.0314 data_time: 0.0223 memory: 25 grad_norm: 0.0033 temporal_iou_loss: 0.0260 loss: 0.0255 2022/09/08 03:08:56 - mmengine - INFO - Epoch(train) [8][140/604] lr: 1.0000e-02 eta: 0:04:33 time: 0.0323 data_time: 0.0233 memory: 25 grad_norm: 0.0034 temporal_iou_loss: 0.0283 loss: 0.0255 2022/09/08 03:08:57 - mmengine - INFO - Epoch(train) [8][160/604] lr: 1.0000e-02 eta: 0:04:32 time: 0.0308 data_time: 0.0220 memory: 25 grad_norm: 0.0033 temporal_iou_loss: 0.0335 loss: 0.0258 2022/09/08 03:08:57 - mmengine - INFO - Epoch(train) [8][180/604] lr: 1.0000e-02 eta: 0:04:31 time: 0.0349 data_time: 0.0257 memory: 25 grad_norm: 0.0046 temporal_iou_loss: 0.0213 loss: 0.0266 2022/09/08 03:08:58 - mmengine - INFO - Epoch(train) [8][200/604] lr: 1.0000e-02 eta: 0:04:30 time: 0.0342 data_time: 0.0244 memory: 25 grad_norm: 0.0031 temporal_iou_loss: 0.0260 loss: 0.0257 2022/09/08 03:08:59 - mmengine - INFO - Epoch(train) [8][220/604] lr: 1.0000e-02 eta: 0:04:29 time: 0.0308 data_time: 0.0218 memory: 25 grad_norm: 0.0030 temporal_iou_loss: 0.0298 loss: 0.0247 2022/09/08 03:09:00 - mmengine - INFO - Epoch(train) [8][240/604] lr: 1.0000e-02 eta: 0:04:29 time: 0.0417 data_time: 0.0326 memory: 25 grad_norm: 0.0038 temporal_iou_loss: 0.0302 loss: 0.0258 2022/09/08 03:09:00 - mmengine - INFO - Epoch(train) [8][260/604] lr: 1.0000e-02 eta: 0:04:28 time: 0.0343 data_time: 0.0252 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0253 loss: 0.0247 2022/09/08 03:09:01 - mmengine - INFO - Epoch(train) [8][280/604] lr: 1.0000e-02 eta: 0:04:27 time: 0.0337 data_time: 0.0247 memory: 25 grad_norm: 0.0034 temporal_iou_loss: 0.0304 loss: 0.0259 2022/09/08 03:09:02 - mmengine - INFO - Epoch(train) [8][300/604] lr: 1.0000e-02 eta: 0:04:27 time: 0.0311 data_time: 0.0211 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0278 loss: 0.0252 2022/09/08 03:09:02 - mmengine - INFO - Epoch(train) [8][320/604] lr: 1.0000e-02 eta: 0:04:26 time: 0.0316 data_time: 0.0226 memory: 25 grad_norm: 0.0035 temporal_iou_loss: 0.0206 loss: 0.0247 2022/09/08 03:09:03 - mmengine - INFO - Epoch(train) [8][340/604] lr: 1.0000e-02 eta: 0:04:25 time: 0.0329 data_time: 0.0239 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0262 loss: 0.0247 2022/09/08 03:09:03 - mmengine - INFO - Epoch(train) [8][360/604] lr: 1.0000e-02 eta: 0:04:24 time: 0.0320 data_time: 0.0231 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0262 loss: 0.0252 2022/09/08 03:09:04 - mmengine - INFO - Epoch(train) [8][380/604] lr: 1.0000e-02 eta: 0:04:23 time: 0.0315 data_time: 0.0226 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0278 loss: 0.0251 2022/09/08 03:09:05 - mmengine - INFO - Epoch(train) [8][400/604] lr: 1.0000e-02 eta: 0:04:23 time: 0.0350 data_time: 0.0260 memory: 25 grad_norm: 0.0034 temporal_iou_loss: 0.0263 loss: 0.0241 2022/09/08 03:09:05 - mmengine - INFO - Epoch(train) [8][420/604] lr: 1.0000e-02 eta: 0:04:22 time: 0.0307 data_time: 0.0216 memory: 25 grad_norm: 0.0048 temporal_iou_loss: 0.0244 loss: 0.0251 2022/09/08 03:09:06 - mmengine - INFO - Epoch(train) [8][440/604] lr: 1.0000e-02 eta: 0:04:21 time: 0.0335 data_time: 0.0245 memory: 25 grad_norm: 0.0032 temporal_iou_loss: 0.0253 loss: 0.0236 2022/09/08 03:09:07 - mmengine - INFO - Epoch(train) [8][460/604] lr: 1.0000e-02 eta: 0:04:20 time: 0.0366 data_time: 0.0273 memory: 25 grad_norm: 0.0030 temporal_iou_loss: 0.0236 loss: 0.0246 2022/09/08 03:09:08 - mmengine - INFO - Epoch(train) [8][480/604] lr: 1.0000e-02 eta: 0:04:20 time: 0.0350 data_time: 0.0257 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0213 loss: 0.0246 2022/09/08 03:09:08 - mmengine - INFO - Epoch(train) [8][500/604] lr: 1.0000e-02 eta: 0:04:19 time: 0.0314 data_time: 0.0222 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0299 loss: 0.0248 2022/09/08 03:09:09 - mmengine - INFO - Epoch(train) [8][520/604] lr: 1.0000e-02 eta: 0:04:18 time: 0.0334 data_time: 0.0241 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0251 loss: 0.0235 2022/09/08 03:09:09 - mmengine - INFO - Epoch(train) [8][540/604] lr: 1.0000e-02 eta: 0:04:17 time: 0.0307 data_time: 0.0212 memory: 25 grad_norm: 0.0037 temporal_iou_loss: 0.0229 loss: 0.0252 2022/09/08 03:09:10 - mmengine - INFO - Epoch(train) [8][560/604] lr: 1.0000e-02 eta: 0:04:16 time: 0.0334 data_time: 0.0242 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0251 loss: 0.0245 2022/09/08 03:09:11 - mmengine - INFO - Epoch(train) [8][580/604] lr: 1.0000e-02 eta: 0:04:16 time: 0.0348 data_time: 0.0257 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0363 loss: 0.0251 2022/09/08 03:09:11 - mmengine - INFO - Epoch(train) [8][600/604] lr: 1.0000e-02 eta: 0:04:15 time: 0.0292 data_time: 0.0199 memory: 25 grad_norm: 0.0020 temporal_iou_loss: 0.0274 loss: 0.0254 2022/09/08 03:09:11 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:09:11 - mmengine - INFO - Epoch(train) [8][604/604] lr: 1.0000e-02 eta: 0:04:15 time: 0.0274 data_time: 0.0185 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0182 loss: 0.0252 2022/09/08 03:09:11 - mmengine - INFO - Saving checkpoint at 8 epochs 2022/09/08 03:09:16 - mmengine - INFO - Epoch(train) [9][20/604] lr: 1.0000e-02 eta: 0:04:15 time: 0.0625 data_time: 0.0524 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0232 loss: 0.0243 2022/09/08 03:09:17 - mmengine - INFO - Epoch(train) [9][40/604] lr: 1.0000e-02 eta: 0:04:14 time: 0.0373 data_time: 0.0283 memory: 25 grad_norm: 0.0035 temporal_iou_loss: 0.0258 loss: 0.0257 2022/09/08 03:09:17 - mmengine - INFO - Epoch(train) [9][60/604] lr: 1.0000e-02 eta: 0:04:13 time: 0.0292 data_time: 0.0203 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0241 loss: 0.0255 2022/09/08 03:09:18 - mmengine - INFO - Epoch(train) [9][80/604] lr: 1.0000e-02 eta: 0:04:12 time: 0.0351 data_time: 0.0262 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0255 loss: 0.0241 2022/09/08 03:09:19 - mmengine - INFO - Epoch(train) [9][100/604] lr: 1.0000e-02 eta: 0:04:12 time: 0.0328 data_time: 0.0238 memory: 25 grad_norm: 0.0039 temporal_iou_loss: 0.0267 loss: 0.0262 2022/09/08 03:09:19 - mmengine - INFO - Epoch(train) [9][120/604] lr: 1.0000e-02 eta: 0:04:11 time: 0.0329 data_time: 0.0239 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0278 loss: 0.0235 2022/09/08 03:09:20 - mmengine - INFO - Epoch(train) [9][140/604] lr: 1.0000e-02 eta: 0:04:10 time: 0.0323 data_time: 0.0233 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0247 loss: 0.0249 2022/09/08 03:09:21 - mmengine - INFO - Epoch(train) [9][160/604] lr: 1.0000e-02 eta: 0:04:09 time: 0.0359 data_time: 0.0269 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0207 loss: 0.0242 2022/09/08 03:09:21 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:09:21 - mmengine - INFO - Epoch(train) [9][180/604] lr: 1.0000e-02 eta: 0:04:08 time: 0.0309 data_time: 0.0220 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0267 loss: 0.0262 2022/09/08 03:09:22 - mmengine - INFO - Epoch(train) [9][200/604] lr: 1.0000e-02 eta: 0:04:08 time: 0.0392 data_time: 0.0302 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0255 loss: 0.0243 2022/09/08 03:09:23 - mmengine - INFO - Epoch(train) [9][220/604] lr: 1.0000e-02 eta: 0:04:07 time: 0.0334 data_time: 0.0245 memory: 25 grad_norm: 0.0031 temporal_iou_loss: 0.0288 loss: 0.0248 2022/09/08 03:09:24 - mmengine - INFO - Epoch(train) [9][240/604] lr: 1.0000e-02 eta: 0:04:07 time: 0.0384 data_time: 0.0295 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0249 loss: 0.0248 2022/09/08 03:09:24 - mmengine - INFO - Epoch(train) [9][260/604] lr: 1.0000e-02 eta: 0:04:06 time: 0.0308 data_time: 0.0218 memory: 25 grad_norm: 0.0032 temporal_iou_loss: 0.0241 loss: 0.0245 2022/09/08 03:09:25 - mmengine - INFO - Epoch(train) [9][280/604] lr: 1.0000e-02 eta: 0:04:05 time: 0.0309 data_time: 0.0219 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0245 loss: 0.0246 2022/09/08 03:09:25 - mmengine - INFO - Epoch(train) [9][300/604] lr: 1.0000e-02 eta: 0:04:04 time: 0.0298 data_time: 0.0208 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0206 loss: 0.0244 2022/09/08 03:09:26 - mmengine - INFO - Epoch(train) [9][320/604] lr: 1.0000e-02 eta: 0:04:03 time: 0.0369 data_time: 0.0280 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0326 loss: 0.0250 2022/09/08 03:09:27 - mmengine - INFO - Epoch(train) [9][340/604] lr: 1.0000e-02 eta: 0:04:03 time: 0.0319 data_time: 0.0230 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0254 loss: 0.0263 2022/09/08 03:09:28 - mmengine - INFO - Epoch(train) [9][360/604] lr: 1.0000e-02 eta: 0:04:02 time: 0.0366 data_time: 0.0277 memory: 25 grad_norm: 0.0040 temporal_iou_loss: 0.0283 loss: 0.0257 2022/09/08 03:09:28 - mmengine - INFO - Epoch(train) [9][380/604] lr: 1.0000e-02 eta: 0:04:01 time: 0.0342 data_time: 0.0252 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0247 loss: 0.0243 2022/09/08 03:09:29 - mmengine - INFO - Epoch(train) [9][400/604] lr: 1.0000e-02 eta: 0:04:00 time: 0.0348 data_time: 0.0256 memory: 25 grad_norm: 0.0035 temporal_iou_loss: 0.0235 loss: 0.0255 2022/09/08 03:09:30 - mmengine - INFO - Epoch(train) [9][420/604] lr: 1.0000e-02 eta: 0:04:00 time: 0.0343 data_time: 0.0246 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0236 loss: 0.0247 2022/09/08 03:09:30 - mmengine - INFO - Epoch(train) [9][440/604] lr: 1.0000e-02 eta: 0:03:59 time: 0.0308 data_time: 0.0219 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0253 loss: 0.0240 2022/09/08 03:09:31 - mmengine - INFO - Epoch(train) [9][460/604] lr: 1.0000e-02 eta: 0:03:58 time: 0.0334 data_time: 0.0245 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0268 loss: 0.0244 2022/09/08 03:09:32 - mmengine - INFO - Epoch(train) [9][480/604] lr: 1.0000e-02 eta: 0:03:57 time: 0.0306 data_time: 0.0208 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0295 loss: 0.0241 2022/09/08 03:09:32 - mmengine - INFO - Epoch(train) [9][500/604] lr: 1.0000e-02 eta: 0:03:57 time: 0.0370 data_time: 0.0278 memory: 25 grad_norm: 0.0029 temporal_iou_loss: 0.0237 loss: 0.0241 2022/09/08 03:09:33 - mmengine - INFO - Epoch(train) [9][520/604] lr: 1.0000e-02 eta: 0:03:56 time: 0.0323 data_time: 0.0231 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0244 loss: 0.0245 2022/09/08 03:09:34 - mmengine - INFO - Epoch(train) [9][540/604] lr: 1.0000e-02 eta: 0:03:55 time: 0.0346 data_time: 0.0254 memory: 25 grad_norm: 0.0032 temporal_iou_loss: 0.0207 loss: 0.0249 2022/09/08 03:09:34 - mmengine - INFO - Epoch(train) [9][560/604] lr: 1.0000e-02 eta: 0:03:55 time: 0.0386 data_time: 0.0280 memory: 25 grad_norm: 0.0036 temporal_iou_loss: 0.0259 loss: 0.0265 2022/09/08 03:09:35 - mmengine - INFO - Epoch(train) [9][580/604] lr: 1.0000e-02 eta: 0:03:54 time: 0.0396 data_time: 0.0294 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0203 loss: 0.0240 2022/09/08 03:09:36 - mmengine - INFO - Epoch(train) [9][600/604] lr: 1.0000e-02 eta: 0:03:53 time: 0.0299 data_time: 0.0209 memory: 25 grad_norm: 0.0032 temporal_iou_loss: 0.0237 loss: 0.0250 2022/09/08 03:09:36 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:09:36 - mmengine - INFO - Epoch(train) [9][604/604] lr: 1.0000e-02 eta: 0:03:53 time: 0.0279 data_time: 0.0192 memory: 25 grad_norm: 0.0032 temporal_iou_loss: 0.0196 loss: 0.0244 2022/09/08 03:09:36 - mmengine - INFO - Saving checkpoint at 9 epochs 2022/09/08 03:09:41 - mmengine - INFO - Epoch(train) [10][20/604] lr: 1.0000e-02 eta: 0:03:53 time: 0.0674 data_time: 0.0583 memory: 25 grad_norm: 0.0030 temporal_iou_loss: 0.0228 loss: 0.0237 2022/09/08 03:09:41 - mmengine - INFO - Epoch(train) [10][40/604] lr: 1.0000e-02 eta: 0:03:52 time: 0.0317 data_time: 0.0227 memory: 25 grad_norm: 0.0050 temporal_iou_loss: 0.0282 loss: 0.0262 2022/09/08 03:09:42 - mmengine - INFO - Epoch(train) [10][60/604] lr: 1.0000e-02 eta: 0:03:51 time: 0.0373 data_time: 0.0283 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0263 loss: 0.0255 2022/09/08 03:09:43 - mmengine - INFO - Epoch(train) [10][80/604] lr: 1.0000e-02 eta: 0:03:51 time: 0.0346 data_time: 0.0256 memory: 25 grad_norm: 0.0037 temporal_iou_loss: 0.0273 loss: 0.0252 2022/09/08 03:09:43 - mmengine - INFO - Epoch(train) [10][100/604] lr: 1.0000e-02 eta: 0:03:50 time: 0.0300 data_time: 0.0209 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0258 loss: 0.0246 2022/09/08 03:09:44 - mmengine - INFO - Epoch(train) [10][120/604] lr: 1.0000e-02 eta: 0:03:49 time: 0.0304 data_time: 0.0212 memory: 25 grad_norm: 0.0032 temporal_iou_loss: 0.0212 loss: 0.0260 2022/09/08 03:09:45 - mmengine - INFO - Epoch(train) [10][140/604] lr: 1.0000e-02 eta: 0:03:48 time: 0.0340 data_time: 0.0239 memory: 25 grad_norm: 0.0031 temporal_iou_loss: 0.0258 loss: 0.0255 2022/09/08 03:09:45 - mmengine - INFO - Epoch(train) [10][160/604] lr: 1.0000e-02 eta: 0:03:48 time: 0.0346 data_time: 0.0251 memory: 25 grad_norm: 0.0020 temporal_iou_loss: 0.0246 loss: 0.0240 2022/09/08 03:09:46 - mmengine - INFO - Epoch(train) [10][180/604] lr: 1.0000e-02 eta: 0:03:47 time: 0.0389 data_time: 0.0295 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0231 loss: 0.0242 2022/09/08 03:09:47 - mmengine - INFO - Epoch(train) [10][200/604] lr: 1.0000e-02 eta: 0:03:46 time: 0.0327 data_time: 0.0229 memory: 25 grad_norm: 0.0041 temporal_iou_loss: 0.0249 loss: 0.0261 2022/09/08 03:09:47 - mmengine - INFO - Epoch(train) [10][220/604] lr: 1.0000e-02 eta: 0:03:46 time: 0.0325 data_time: 0.0236 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0206 loss: 0.0240 2022/09/08 03:09:48 - mmengine - INFO - Epoch(train) [10][240/604] lr: 1.0000e-02 eta: 0:03:45 time: 0.0316 data_time: 0.0227 memory: 25 grad_norm: 0.0029 temporal_iou_loss: 0.0252 loss: 0.0235 2022/09/08 03:09:49 - mmengine - INFO - Epoch(train) [10][260/604] lr: 1.0000e-02 eta: 0:03:44 time: 0.0373 data_time: 0.0283 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0340 loss: 0.0242 2022/09/08 03:09:49 - mmengine - INFO - Epoch(train) [10][280/604] lr: 1.0000e-02 eta: 0:03:43 time: 0.0322 data_time: 0.0229 memory: 25 grad_norm: 0.0029 temporal_iou_loss: 0.0261 loss: 0.0254 2022/09/08 03:09:50 - mmengine - INFO - Epoch(train) [10][300/604] lr: 1.0000e-02 eta: 0:03:43 time: 0.0311 data_time: 0.0219 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0218 loss: 0.0252 2022/09/08 03:09:51 - mmengine - INFO - Epoch(train) [10][320/604] lr: 1.0000e-02 eta: 0:03:42 time: 0.0321 data_time: 0.0223 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0261 loss: 0.0254 2022/09/08 03:09:51 - mmengine - INFO - Epoch(train) [10][340/604] lr: 1.0000e-02 eta: 0:03:41 time: 0.0331 data_time: 0.0233 memory: 25 grad_norm: 0.0031 temporal_iou_loss: 0.0248 loss: 0.0241 2022/09/08 03:09:52 - mmengine - INFO - Epoch(train) [10][360/604] lr: 1.0000e-02 eta: 0:03:40 time: 0.0334 data_time: 0.0234 memory: 25 grad_norm: 0.0039 temporal_iou_loss: 0.0275 loss: 0.0254 2022/09/08 03:09:53 - mmengine - INFO - Epoch(train) [10][380/604] lr: 1.0000e-02 eta: 0:03:39 time: 0.0309 data_time: 0.0219 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0247 loss: 0.0259 2022/09/08 03:09:53 - mmengine - INFO - Epoch(train) [10][400/604] lr: 1.0000e-02 eta: 0:03:39 time: 0.0372 data_time: 0.0279 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0268 loss: 0.0252 2022/09/08 03:09:54 - mmengine - INFO - Epoch(train) [10][420/604] lr: 1.0000e-02 eta: 0:03:38 time: 0.0326 data_time: 0.0234 memory: 25 grad_norm: 0.0034 temporal_iou_loss: 0.0243 loss: 0.0247 2022/09/08 03:09:55 - mmengine - INFO - Epoch(train) [10][440/604] lr: 1.0000e-02 eta: 0:03:37 time: 0.0316 data_time: 0.0229 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0232 loss: 0.0252 2022/09/08 03:09:55 - mmengine - INFO - Epoch(train) [10][460/604] lr: 1.0000e-02 eta: 0:03:36 time: 0.0311 data_time: 0.0222 memory: 25 grad_norm: 0.0036 temporal_iou_loss: 0.0250 loss: 0.0248 2022/09/08 03:09:56 - mmengine - INFO - Epoch(train) [10][480/604] lr: 1.0000e-02 eta: 0:03:36 time: 0.0357 data_time: 0.0268 memory: 25 grad_norm: 0.0031 temporal_iou_loss: 0.0238 loss: 0.0245 2022/09/08 03:09:57 - mmengine - INFO - Epoch(train) [10][500/604] lr: 1.0000e-02 eta: 0:03:35 time: 0.0363 data_time: 0.0275 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0262 loss: 0.0241 2022/09/08 03:09:57 - mmengine - INFO - Epoch(train) [10][520/604] lr: 1.0000e-02 eta: 0:03:34 time: 0.0297 data_time: 0.0208 memory: 25 grad_norm: 0.0035 temporal_iou_loss: 0.0256 loss: 0.0250 2022/09/08 03:09:58 - mmengine - INFO - Epoch(train) [10][540/604] lr: 1.0000e-02 eta: 0:03:34 time: 0.0333 data_time: 0.0245 memory: 25 grad_norm: 0.0029 temporal_iou_loss: 0.0261 loss: 0.0241 2022/09/08 03:09:59 - mmengine - INFO - Epoch(train) [10][560/604] lr: 1.0000e-02 eta: 0:03:33 time: 0.0327 data_time: 0.0238 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0244 loss: 0.0247 2022/09/08 03:09:59 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:09:59 - mmengine - INFO - Epoch(train) [10][580/604] lr: 1.0000e-02 eta: 0:03:32 time: 0.0343 data_time: 0.0247 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0261 loss: 0.0245 2022/09/08 03:10:00 - mmengine - INFO - Epoch(train) [10][600/604] lr: 1.0000e-02 eta: 0:03:31 time: 0.0302 data_time: 0.0202 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0223 loss: 0.0248 2022/09/08 03:10:00 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:10:00 - mmengine - INFO - Epoch(train) [10][604/604] lr: 1.0000e-02 eta: 0:03:31 time: 0.0289 data_time: 0.0192 memory: 25 grad_norm: 0.0030 temporal_iou_loss: 0.0163 loss: 0.0247 2022/09/08 03:10:00 - mmengine - INFO - Saving checkpoint at 10 epochs 2022/09/08 03:10:05 - mmengine - INFO - Epoch(train) [11][20/604] lr: 1.0000e-03 eta: 0:03:31 time: 0.0672 data_time: 0.0571 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0208 loss: 0.0239 2022/09/08 03:10:05 - mmengine - INFO - Epoch(train) [11][40/604] lr: 1.0000e-03 eta: 0:03:30 time: 0.0357 data_time: 0.0252 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0239 loss: 0.0250 2022/09/08 03:10:06 - mmengine - INFO - Epoch(train) [11][60/604] lr: 1.0000e-03 eta: 0:03:29 time: 0.0304 data_time: 0.0210 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0248 loss: 0.0258 2022/09/08 03:10:07 - mmengine - INFO - Epoch(train) [11][80/604] lr: 1.0000e-03 eta: 0:03:29 time: 0.0330 data_time: 0.0237 memory: 25 grad_norm: 0.0031 temporal_iou_loss: 0.0332 loss: 0.0251 2022/09/08 03:10:07 - mmengine - INFO - Epoch(train) [11][100/604] lr: 1.0000e-03 eta: 0:03:28 time: 0.0357 data_time: 0.0265 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0246 loss: 0.0244 2022/09/08 03:10:08 - mmengine - INFO - Epoch(train) [11][120/604] lr: 1.0000e-03 eta: 0:03:27 time: 0.0342 data_time: 0.0250 memory: 25 grad_norm: 0.0015 temporal_iou_loss: 0.0234 loss: 0.0236 2022/09/08 03:10:09 - mmengine - INFO - Epoch(train) [11][140/604] lr: 1.0000e-03 eta: 0:03:27 time: 0.0335 data_time: 0.0242 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0265 loss: 0.0245 2022/09/08 03:10:09 - mmengine - INFO - Epoch(train) [11][160/604] lr: 1.0000e-03 eta: 0:03:26 time: 0.0371 data_time: 0.0278 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0279 loss: 0.0251 2022/09/08 03:10:10 - mmengine - INFO - Epoch(train) [11][180/604] lr: 1.0000e-03 eta: 0:03:25 time: 0.0317 data_time: 0.0219 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0266 loss: 0.0255 2022/09/08 03:10:11 - mmengine - INFO - Epoch(train) [11][200/604] lr: 1.0000e-03 eta: 0:03:24 time: 0.0321 data_time: 0.0220 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0251 loss: 0.0238 2022/09/08 03:10:11 - mmengine - INFO - Epoch(train) [11][220/604] lr: 1.0000e-03 eta: 0:03:24 time: 0.0340 data_time: 0.0250 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0207 loss: 0.0252 2022/09/08 03:10:12 - mmengine - INFO - Epoch(train) [11][240/604] lr: 1.0000e-03 eta: 0:03:23 time: 0.0304 data_time: 0.0215 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0257 loss: 0.0233 2022/09/08 03:10:13 - mmengine - INFO - Epoch(train) [11][260/604] lr: 1.0000e-03 eta: 0:03:22 time: 0.0314 data_time: 0.0224 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0242 loss: 0.0237 2022/09/08 03:10:13 - mmengine - INFO - Epoch(train) [11][280/604] lr: 1.0000e-03 eta: 0:03:21 time: 0.0325 data_time: 0.0236 memory: 25 grad_norm: 0.0020 temporal_iou_loss: 0.0290 loss: 0.0249 2022/09/08 03:10:14 - mmengine - INFO - Epoch(train) [11][300/604] lr: 1.0000e-03 eta: 0:03:21 time: 0.0339 data_time: 0.0250 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0254 loss: 0.0251 2022/09/08 03:10:15 - mmengine - INFO - Epoch(train) [11][320/604] lr: 1.0000e-03 eta: 0:03:20 time: 0.0337 data_time: 0.0246 memory: 25 grad_norm: 0.0017 temporal_iou_loss: 0.0232 loss: 0.0245 2022/09/08 03:10:15 - mmengine - INFO - Epoch(train) [11][340/604] lr: 1.0000e-03 eta: 0:03:19 time: 0.0308 data_time: 0.0207 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0234 loss: 0.0242 2022/09/08 03:10:16 - mmengine - INFO - Epoch(train) [11][360/604] lr: 1.0000e-03 eta: 0:03:18 time: 0.0364 data_time: 0.0269 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0202 loss: 0.0246 2022/09/08 03:10:17 - mmengine - INFO - Epoch(train) [11][380/604] lr: 1.0000e-03 eta: 0:03:18 time: 0.0316 data_time: 0.0222 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0237 loss: 0.0241 2022/09/08 03:10:17 - mmengine - INFO - Epoch(train) [11][400/604] lr: 1.0000e-03 eta: 0:03:17 time: 0.0325 data_time: 0.0232 memory: 25 grad_norm: 0.0020 temporal_iou_loss: 0.0237 loss: 0.0238 2022/09/08 03:10:18 - mmengine - INFO - Epoch(train) [11][420/604] lr: 1.0000e-03 eta: 0:03:16 time: 0.0323 data_time: 0.0230 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0249 loss: 0.0246 2022/09/08 03:10:19 - mmengine - INFO - Epoch(train) [11][440/604] lr: 1.0000e-03 eta: 0:03:16 time: 0.0343 data_time: 0.0249 memory: 25 grad_norm: 0.0029 temporal_iou_loss: 0.0278 loss: 0.0247 2022/09/08 03:10:19 - mmengine - INFO - Epoch(train) [11][460/604] lr: 1.0000e-03 eta: 0:03:15 time: 0.0353 data_time: 0.0251 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0251 loss: 0.0240 2022/09/08 03:10:20 - mmengine - INFO - Epoch(train) [11][480/604] lr: 1.0000e-03 eta: 0:03:14 time: 0.0331 data_time: 0.0234 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0385 loss: 0.0250 2022/09/08 03:10:21 - mmengine - INFO - Epoch(train) [11][500/604] lr: 1.0000e-03 eta: 0:03:13 time: 0.0299 data_time: 0.0210 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0268 loss: 0.0256 2022/09/08 03:10:21 - mmengine - INFO - Epoch(train) [11][520/604] lr: 1.0000e-03 eta: 0:03:13 time: 0.0330 data_time: 0.0240 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0259 loss: 0.0250 2022/09/08 03:10:22 - mmengine - INFO - Epoch(train) [11][540/604] lr: 1.0000e-03 eta: 0:03:12 time: 0.0341 data_time: 0.0245 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0247 loss: 0.0243 2022/09/08 03:10:23 - mmengine - INFO - Epoch(train) [11][560/604] lr: 1.0000e-03 eta: 0:03:11 time: 0.0344 data_time: 0.0242 memory: 25 grad_norm: 0.0020 temporal_iou_loss: 0.0220 loss: 0.0252 2022/09/08 03:10:23 - mmengine - INFO - Epoch(train) [11][580/604] lr: 1.0000e-03 eta: 0:03:10 time: 0.0359 data_time: 0.0266 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0297 loss: 0.0269 2022/09/08 03:10:24 - mmengine - INFO - Epoch(train) [11][600/604] lr: 1.0000e-03 eta: 0:03:10 time: 0.0276 data_time: 0.0184 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0240 loss: 0.0231 2022/09/08 03:10:24 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:10:24 - mmengine - INFO - Epoch(train) [11][604/604] lr: 1.0000e-03 eta: 0:03:10 time: 0.0273 data_time: 0.0184 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0165 loss: 0.0228 2022/09/08 03:10:24 - mmengine - INFO - Saving checkpoint at 11 epochs 2022/09/08 03:10:29 - mmengine - INFO - Epoch(train) [12][20/604] lr: 1.0000e-03 eta: 0:03:09 time: 0.0642 data_time: 0.0547 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0277 loss: 0.0251 2022/09/08 03:10:29 - mmengine - INFO - Epoch(train) [12][40/604] lr: 1.0000e-03 eta: 0:03:09 time: 0.0379 data_time: 0.0286 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0274 loss: 0.0245 2022/09/08 03:10:30 - mmengine - INFO - Epoch(train) [12][60/604] lr: 1.0000e-03 eta: 0:03:08 time: 0.0304 data_time: 0.0211 memory: 25 grad_norm: 0.0017 temporal_iou_loss: 0.0195 loss: 0.0240 2022/09/08 03:10:31 - mmengine - INFO - Epoch(train) [12][80/604] lr: 1.0000e-03 eta: 0:03:07 time: 0.0345 data_time: 0.0252 memory: 25 grad_norm: 0.0020 temporal_iou_loss: 0.0262 loss: 0.0240 2022/09/08 03:10:31 - mmengine - INFO - Epoch(train) [12][100/604] lr: 1.0000e-03 eta: 0:03:06 time: 0.0323 data_time: 0.0230 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0219 loss: 0.0249 2022/09/08 03:10:32 - mmengine - INFO - Epoch(train) [12][120/604] lr: 1.0000e-03 eta: 0:03:06 time: 0.0322 data_time: 0.0229 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0246 loss: 0.0243 2022/09/08 03:10:33 - mmengine - INFO - Epoch(train) [12][140/604] lr: 1.0000e-03 eta: 0:03:05 time: 0.0309 data_time: 0.0215 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0234 loss: 0.0245 2022/09/08 03:10:33 - mmengine - INFO - Epoch(train) [12][160/604] lr: 1.0000e-03 eta: 0:03:04 time: 0.0323 data_time: 0.0222 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0237 loss: 0.0255 2022/09/08 03:10:34 - mmengine - INFO - Epoch(train) [12][180/604] lr: 1.0000e-03 eta: 0:03:03 time: 0.0370 data_time: 0.0269 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0266 loss: 0.0234 2022/09/08 03:10:35 - mmengine - INFO - Epoch(train) [12][200/604] lr: 1.0000e-03 eta: 0:03:03 time: 0.0354 data_time: 0.0247 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0236 loss: 0.0246 2022/09/08 03:10:35 - mmengine - INFO - Epoch(train) [12][220/604] lr: 1.0000e-03 eta: 0:03:02 time: 0.0382 data_time: 0.0280 memory: 25 grad_norm: 0.0020 temporal_iou_loss: 0.0225 loss: 0.0261 2022/09/08 03:10:36 - mmengine - INFO - Epoch(train) [12][240/604] lr: 1.0000e-03 eta: 0:03:01 time: 0.0322 data_time: 0.0224 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0210 loss: 0.0249 2022/09/08 03:10:37 - mmengine - INFO - Epoch(train) [12][260/604] lr: 1.0000e-03 eta: 0:03:01 time: 0.0319 data_time: 0.0225 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0268 loss: 0.0249 2022/09/08 03:10:37 - mmengine - INFO - Epoch(train) [12][280/604] lr: 1.0000e-03 eta: 0:03:00 time: 0.0350 data_time: 0.0256 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0303 loss: 0.0250 2022/09/08 03:10:38 - mmengine - INFO - Epoch(train) [12][300/604] lr: 1.0000e-03 eta: 0:02:59 time: 0.0376 data_time: 0.0280 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0249 loss: 0.0236 2022/09/08 03:10:39 - mmengine - INFO - Epoch(train) [12][320/604] lr: 1.0000e-03 eta: 0:02:58 time: 0.0323 data_time: 0.0230 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0222 loss: 0.0250 2022/09/08 03:10:40 - mmengine - INFO - Epoch(train) [12][340/604] lr: 1.0000e-03 eta: 0:02:58 time: 0.0367 data_time: 0.0274 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0265 loss: 0.0242 2022/09/08 03:10:40 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:10:40 - mmengine - INFO - Epoch(train) [12][360/604] lr: 1.0000e-03 eta: 0:02:57 time: 0.0335 data_time: 0.0242 memory: 25 grad_norm: 0.0020 temporal_iou_loss: 0.0264 loss: 0.0243 2022/09/08 03:10:41 - mmengine - INFO - Epoch(train) [12][380/604] lr: 1.0000e-03 eta: 0:02:56 time: 0.0349 data_time: 0.0256 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0217 loss: 0.0250 2022/09/08 03:10:42 - mmengine - INFO - Epoch(train) [12][400/604] lr: 1.0000e-03 eta: 0:02:56 time: 0.0340 data_time: 0.0248 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0247 loss: 0.0248 2022/09/08 03:10:42 - mmengine - INFO - Epoch(train) [12][420/604] lr: 1.0000e-03 eta: 0:02:55 time: 0.0316 data_time: 0.0223 memory: 25 grad_norm: 0.0018 temporal_iou_loss: 0.0210 loss: 0.0237 2022/09/08 03:10:43 - mmengine - INFO - Epoch(train) [12][440/604] lr: 1.0000e-03 eta: 0:02:54 time: 0.0341 data_time: 0.0249 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0257 loss: 0.0243 2022/09/08 03:10:44 - mmengine - INFO - Epoch(train) [12][460/604] lr: 1.0000e-03 eta: 0:02:53 time: 0.0362 data_time: 0.0268 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0277 loss: 0.0245 2022/09/08 03:10:44 - mmengine - INFO - Epoch(train) [12][480/604] lr: 1.0000e-03 eta: 0:02:53 time: 0.0348 data_time: 0.0255 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0276 loss: 0.0246 2022/09/08 03:10:45 - mmengine - INFO - Epoch(train) [12][500/604] lr: 1.0000e-03 eta: 0:02:52 time: 0.0333 data_time: 0.0238 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0211 loss: 0.0245 2022/09/08 03:10:46 - mmengine - INFO - Epoch(train) [12][520/604] lr: 1.0000e-03 eta: 0:02:51 time: 0.0325 data_time: 0.0228 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0246 loss: 0.0244 2022/09/08 03:10:46 - mmengine - INFO - Epoch(train) [12][540/604] lr: 1.0000e-03 eta: 0:02:51 time: 0.0371 data_time: 0.0277 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0257 loss: 0.0242 2022/09/08 03:10:47 - mmengine - INFO - Epoch(train) [12][560/604] lr: 1.0000e-03 eta: 0:02:50 time: 0.0329 data_time: 0.0237 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0227 loss: 0.0245 2022/09/08 03:10:48 - mmengine - INFO - Epoch(train) [12][580/604] lr: 1.0000e-03 eta: 0:02:49 time: 0.0325 data_time: 0.0233 memory: 25 grad_norm: 0.0029 temporal_iou_loss: 0.0210 loss: 0.0247 2022/09/08 03:10:48 - mmengine - INFO - Epoch(train) [12][600/604] lr: 1.0000e-03 eta: 0:02:48 time: 0.0327 data_time: 0.0235 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0250 loss: 0.0254 2022/09/08 03:10:48 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:10:48 - mmengine - INFO - Epoch(train) [12][604/604] lr: 1.0000e-03 eta: 0:02:48 time: 0.0271 data_time: 0.0182 memory: 25 grad_norm: 0.0039 temporal_iou_loss: 0.0405 loss: 0.0262 2022/09/08 03:10:48 - mmengine - INFO - Saving checkpoint at 12 epochs 2022/09/08 03:10:53 - mmengine - INFO - Epoch(train) [13][20/604] lr: 1.0000e-03 eta: 0:02:48 time: 0.0625 data_time: 0.0529 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0230 loss: 0.0240 2022/09/08 03:10:54 - mmengine - INFO - Epoch(train) [13][40/604] lr: 1.0000e-03 eta: 0:02:47 time: 0.0343 data_time: 0.0249 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0235 loss: 0.0247 2022/09/08 03:10:54 - mmengine - INFO - Epoch(train) [13][60/604] lr: 1.0000e-03 eta: 0:02:47 time: 0.0382 data_time: 0.0280 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0261 loss: 0.0237 2022/09/08 03:10:55 - mmengine - INFO - Epoch(train) [13][80/604] lr: 1.0000e-03 eta: 0:02:46 time: 0.0332 data_time: 0.0239 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0245 loss: 0.0246 2022/09/08 03:10:56 - mmengine - INFO - Epoch(train) [13][100/604] lr: 1.0000e-03 eta: 0:02:45 time: 0.0350 data_time: 0.0260 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0257 loss: 0.0248 2022/09/08 03:10:56 - mmengine - INFO - Epoch(train) [13][120/604] lr: 1.0000e-03 eta: 0:02:44 time: 0.0319 data_time: 0.0229 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0235 loss: 0.0250 2022/09/08 03:10:57 - mmengine - INFO - Epoch(train) [13][140/604] lr: 1.0000e-03 eta: 0:02:44 time: 0.0354 data_time: 0.0265 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0278 loss: 0.0259 2022/09/08 03:10:58 - mmengine - INFO - Epoch(train) [13][160/604] lr: 1.0000e-03 eta: 0:02:43 time: 0.0376 data_time: 0.0286 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0225 loss: 0.0252 2022/09/08 03:10:59 - mmengine - INFO - Epoch(train) [13][180/604] lr: 1.0000e-03 eta: 0:02:42 time: 0.0380 data_time: 0.0290 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0248 loss: 0.0242 2022/09/08 03:10:59 - mmengine - INFO - Epoch(train) [13][200/604] lr: 1.0000e-03 eta: 0:02:42 time: 0.0325 data_time: 0.0235 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0267 loss: 0.0245 2022/09/08 03:11:00 - mmengine - INFO - Epoch(train) [13][220/604] lr: 1.0000e-03 eta: 0:02:41 time: 0.0348 data_time: 0.0257 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0221 loss: 0.0236 2022/09/08 03:11:01 - mmengine - INFO - Epoch(train) [13][240/604] lr: 1.0000e-03 eta: 0:02:40 time: 0.0395 data_time: 0.0303 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0207 loss: 0.0242 2022/09/08 03:11:01 - mmengine - INFO - Epoch(train) [13][260/604] lr: 1.0000e-03 eta: 0:02:40 time: 0.0319 data_time: 0.0226 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0208 loss: 0.0256 2022/09/08 03:11:02 - mmengine - INFO - Epoch(train) [13][280/604] lr: 1.0000e-03 eta: 0:02:39 time: 0.0327 data_time: 0.0231 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0245 loss: 0.0247 2022/09/08 03:11:03 - mmengine - INFO - Epoch(train) [13][300/604] lr: 1.0000e-03 eta: 0:02:38 time: 0.0414 data_time: 0.0317 memory: 25 grad_norm: 0.0018 temporal_iou_loss: 0.0210 loss: 0.0246 2022/09/08 03:11:04 - mmengine - INFO - Epoch(train) [13][320/604] lr: 1.0000e-03 eta: 0:02:37 time: 0.0325 data_time: 0.0228 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0276 loss: 0.0241 2022/09/08 03:11:04 - mmengine - INFO - Epoch(train) [13][340/604] lr: 1.0000e-03 eta: 0:02:37 time: 0.0328 data_time: 0.0239 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0239 loss: 0.0250 2022/09/08 03:11:05 - mmengine - INFO - Epoch(train) [13][360/604] lr: 1.0000e-03 eta: 0:02:36 time: 0.0319 data_time: 0.0230 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0276 loss: 0.0246 2022/09/08 03:11:06 - mmengine - INFO - Epoch(train) [13][380/604] lr: 1.0000e-03 eta: 0:02:35 time: 0.0337 data_time: 0.0246 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0234 loss: 0.0234 2022/09/08 03:11:06 - mmengine - INFO - Epoch(train) [13][400/604] lr: 1.0000e-03 eta: 0:02:35 time: 0.0341 data_time: 0.0252 memory: 25 grad_norm: 0.0018 temporal_iou_loss: 0.0275 loss: 0.0245 2022/09/08 03:11:07 - mmengine - INFO - Epoch(train) [13][420/604] lr: 1.0000e-03 eta: 0:02:34 time: 0.0321 data_time: 0.0232 memory: 25 grad_norm: 0.0018 temporal_iou_loss: 0.0202 loss: 0.0235 2022/09/08 03:11:08 - mmengine - INFO - Epoch(train) [13][440/604] lr: 1.0000e-03 eta: 0:02:33 time: 0.0371 data_time: 0.0270 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0250 loss: 0.0250 2022/09/08 03:11:08 - mmengine - INFO - Epoch(train) [13][460/604] lr: 1.0000e-03 eta: 0:02:33 time: 0.0419 data_time: 0.0325 memory: 25 grad_norm: 0.0020 temporal_iou_loss: 0.0239 loss: 0.0245 2022/09/08 03:11:09 - mmengine - INFO - Epoch(train) [13][480/604] lr: 1.0000e-03 eta: 0:02:32 time: 0.0330 data_time: 0.0236 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0240 loss: 0.0238 2022/09/08 03:11:10 - mmengine - INFO - Epoch(train) [13][500/604] lr: 1.0000e-03 eta: 0:02:31 time: 0.0365 data_time: 0.0271 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0265 loss: 0.0238 2022/09/08 03:11:11 - mmengine - INFO - Epoch(train) [13][520/604] lr: 1.0000e-03 eta: 0:02:30 time: 0.0339 data_time: 0.0245 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0280 loss: 0.0266 2022/09/08 03:11:11 - mmengine - INFO - Epoch(train) [13][540/604] lr: 1.0000e-03 eta: 0:02:30 time: 0.0325 data_time: 0.0229 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0233 loss: 0.0251 2022/09/08 03:11:12 - mmengine - INFO - Epoch(train) [13][560/604] lr: 1.0000e-03 eta: 0:02:29 time: 0.0409 data_time: 0.0309 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0232 loss: 0.0245 2022/09/08 03:11:13 - mmengine - INFO - Epoch(train) [13][580/604] lr: 1.0000e-03 eta: 0:02:28 time: 0.0319 data_time: 0.0226 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0220 loss: 0.0246 2022/09/08 03:11:13 - mmengine - INFO - Epoch(train) [13][600/604] lr: 1.0000e-03 eta: 0:02:28 time: 0.0324 data_time: 0.0231 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0290 loss: 0.0258 2022/09/08 03:11:13 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:11:13 - mmengine - INFO - Epoch(train) [13][604/604] lr: 1.0000e-03 eta: 0:02:28 time: 0.0279 data_time: 0.0189 memory: 25 grad_norm: 0.0029 temporal_iou_loss: 0.0123 loss: 0.0248 2022/09/08 03:11:13 - mmengine - INFO - Saving checkpoint at 13 epochs 2022/09/08 03:11:18 - mmengine - INFO - Epoch(train) [14][20/604] lr: 1.0000e-03 eta: 0:02:27 time: 0.0632 data_time: 0.0537 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0301 loss: 0.0252 2022/09/08 03:11:19 - mmengine - INFO - Epoch(train) [14][40/604] lr: 1.0000e-03 eta: 0:02:26 time: 0.0299 data_time: 0.0206 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0279 loss: 0.0242 2022/09/08 03:11:19 - mmengine - INFO - Epoch(train) [14][60/604] lr: 1.0000e-03 eta: 0:02:26 time: 0.0351 data_time: 0.0257 memory: 25 grad_norm: 0.0018 temporal_iou_loss: 0.0302 loss: 0.0240 2022/09/08 03:11:20 - mmengine - INFO - Epoch(train) [14][80/604] lr: 1.0000e-03 eta: 0:02:25 time: 0.0351 data_time: 0.0257 memory: 25 grad_norm: 0.0020 temporal_iou_loss: 0.0256 loss: 0.0250 2022/09/08 03:11:21 - mmengine - INFO - Epoch(train) [14][100/604] lr: 1.0000e-03 eta: 0:02:24 time: 0.0300 data_time: 0.0206 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0208 loss: 0.0243 2022/09/08 03:11:21 - mmengine - INFO - Epoch(train) [14][120/604] lr: 1.0000e-03 eta: 0:02:23 time: 0.0314 data_time: 0.0220 memory: 25 grad_norm: 0.0020 temporal_iou_loss: 0.0249 loss: 0.0238 2022/09/08 03:11:22 - mmengine - INFO - Epoch(train) [14][140/604] lr: 1.0000e-03 eta: 0:02:23 time: 0.0304 data_time: 0.0210 memory: 25 grad_norm: 0.0016 temporal_iou_loss: 0.0249 loss: 0.0239 2022/09/08 03:11:22 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:11:23 - mmengine - INFO - Epoch(train) [14][160/604] lr: 1.0000e-03 eta: 0:02:22 time: 0.0346 data_time: 0.0252 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0256 loss: 0.0239 2022/09/08 03:11:23 - mmengine - INFO - Epoch(train) [14][180/604] lr: 1.0000e-03 eta: 0:02:21 time: 0.0349 data_time: 0.0258 memory: 25 grad_norm: 0.0030 temporal_iou_loss: 0.0213 loss: 0.0250 2022/09/08 03:11:24 - mmengine - INFO - Epoch(train) [14][200/604] lr: 1.0000e-03 eta: 0:02:20 time: 0.0352 data_time: 0.0260 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0237 loss: 0.0241 2022/09/08 03:11:25 - mmengine - INFO - Epoch(train) [14][220/604] lr: 1.0000e-03 eta: 0:02:20 time: 0.0347 data_time: 0.0254 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0268 loss: 0.0248 2022/09/08 03:11:25 - mmengine - INFO - Epoch(train) [14][240/604] lr: 1.0000e-03 eta: 0:02:19 time: 0.0314 data_time: 0.0223 memory: 25 grad_norm: 0.0018 temporal_iou_loss: 0.0215 loss: 0.0246 2022/09/08 03:11:26 - mmengine - INFO - Epoch(train) [14][260/604] lr: 1.0000e-03 eta: 0:02:18 time: 0.0331 data_time: 0.0239 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0257 loss: 0.0247 2022/09/08 03:11:27 - mmengine - INFO - Epoch(train) [14][280/604] lr: 1.0000e-03 eta: 0:02:18 time: 0.0347 data_time: 0.0255 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0270 loss: 0.0257 2022/09/08 03:11:27 - mmengine - INFO - Epoch(train) [14][300/604] lr: 1.0000e-03 eta: 0:02:17 time: 0.0298 data_time: 0.0199 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0201 loss: 0.0236 2022/09/08 03:11:28 - mmengine - INFO - Epoch(train) [14][320/604] lr: 1.0000e-03 eta: 0:02:16 time: 0.0322 data_time: 0.0232 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0249 loss: 0.0244 2022/09/08 03:11:28 - mmengine - INFO - Epoch(train) [14][340/604] lr: 1.0000e-03 eta: 0:02:15 time: 0.0304 data_time: 0.0214 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0256 loss: 0.0240 2022/09/08 03:11:29 - mmengine - INFO - Epoch(train) [14][360/604] lr: 1.0000e-03 eta: 0:02:15 time: 0.0354 data_time: 0.0263 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0222 loss: 0.0243 2022/09/08 03:11:30 - mmengine - INFO - Epoch(train) [14][380/604] lr: 1.0000e-03 eta: 0:02:14 time: 0.0325 data_time: 0.0234 memory: 25 grad_norm: 0.0020 temporal_iou_loss: 0.0210 loss: 0.0253 2022/09/08 03:11:31 - mmengine - INFO - Epoch(train) [14][400/604] lr: 1.0000e-03 eta: 0:02:13 time: 0.0394 data_time: 0.0296 memory: 25 grad_norm: 0.0017 temporal_iou_loss: 0.0285 loss: 0.0248 2022/09/08 03:11:31 - mmengine - INFO - Epoch(train) [14][420/604] lr: 1.0000e-03 eta: 0:02:13 time: 0.0344 data_time: 0.0240 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0249 loss: 0.0249 2022/09/08 03:11:32 - mmengine - INFO - Epoch(train) [14][440/604] lr: 1.0000e-03 eta: 0:02:12 time: 0.0343 data_time: 0.0242 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0184 loss: 0.0247 2022/09/08 03:11:33 - mmengine - INFO - Epoch(train) [14][460/604] lr: 1.0000e-03 eta: 0:02:11 time: 0.0350 data_time: 0.0253 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0267 loss: 0.0245 2022/09/08 03:11:33 - mmengine - INFO - Epoch(train) [14][480/604] lr: 1.0000e-03 eta: 0:02:11 time: 0.0351 data_time: 0.0250 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0230 loss: 0.0240 2022/09/08 03:11:34 - mmengine - INFO - Epoch(train) [14][500/604] lr: 1.0000e-03 eta: 0:02:10 time: 0.0289 data_time: 0.0193 memory: 25 grad_norm: 0.0033 temporal_iou_loss: 0.0370 loss: 0.0256 2022/09/08 03:11:35 - mmengine - INFO - Epoch(train) [14][520/604] lr: 1.0000e-03 eta: 0:02:09 time: 0.0351 data_time: 0.0256 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0227 loss: 0.0244 2022/09/08 03:11:35 - mmengine - INFO - Epoch(train) [14][540/604] lr: 1.0000e-03 eta: 0:02:08 time: 0.0323 data_time: 0.0231 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0219 loss: 0.0240 2022/09/08 03:11:36 - mmengine - INFO - Epoch(train) [14][560/604] lr: 1.0000e-03 eta: 0:02:08 time: 0.0368 data_time: 0.0279 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0261 loss: 0.0259 2022/09/08 03:11:37 - mmengine - INFO - Epoch(train) [14][580/604] lr: 1.0000e-03 eta: 0:02:07 time: 0.0359 data_time: 0.0269 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0228 loss: 0.0249 2022/09/08 03:11:37 - mmengine - INFO - Epoch(train) [14][600/604] lr: 1.0000e-03 eta: 0:02:06 time: 0.0328 data_time: 0.0240 memory: 25 grad_norm: 0.0030 temporal_iou_loss: 0.0265 loss: 0.0253 2022/09/08 03:11:38 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:11:38 - mmengine - INFO - Epoch(train) [14][604/604] lr: 1.0000e-03 eta: 0:02:06 time: 0.0276 data_time: 0.0188 memory: 25 grad_norm: 0.0035 temporal_iou_loss: 0.0278 loss: 0.0248 2022/09/08 03:11:38 - mmengine - INFO - Saving checkpoint at 14 epochs 2022/09/08 03:11:42 - mmengine - INFO - Epoch(train) [15][20/604] lr: 1.0000e-03 eta: 0:02:06 time: 0.0656 data_time: 0.0556 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0232 loss: 0.0237 2022/09/08 03:11:43 - mmengine - INFO - Epoch(train) [15][40/604] lr: 1.0000e-03 eta: 0:02:05 time: 0.0352 data_time: 0.0264 memory: 25 grad_norm: 0.0029 temporal_iou_loss: 0.0244 loss: 0.0247 2022/09/08 03:11:44 - mmengine - INFO - Epoch(train) [15][60/604] lr: 1.0000e-03 eta: 0:02:04 time: 0.0328 data_time: 0.0239 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0283 loss: 0.0245 2022/09/08 03:11:44 - mmengine - INFO - Epoch(train) [15][80/604] lr: 1.0000e-03 eta: 0:02:04 time: 0.0378 data_time: 0.0290 memory: 25 grad_norm: 0.0015 temporal_iou_loss: 0.0214 loss: 0.0247 2022/09/08 03:11:45 - mmengine - INFO - Epoch(train) [15][100/604] lr: 1.0000e-03 eta: 0:02:03 time: 0.0315 data_time: 0.0226 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0241 loss: 0.0248 2022/09/08 03:11:46 - mmengine - INFO - Epoch(train) [15][120/604] lr: 1.0000e-03 eta: 0:02:02 time: 0.0335 data_time: 0.0247 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0280 loss: 0.0249 2022/09/08 03:11:46 - mmengine - INFO - Epoch(train) [15][140/604] lr: 1.0000e-03 eta: 0:02:01 time: 0.0356 data_time: 0.0268 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0241 loss: 0.0245 2022/09/08 03:11:47 - mmengine - INFO - Epoch(train) [15][160/604] lr: 1.0000e-03 eta: 0:02:01 time: 0.0343 data_time: 0.0254 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0319 loss: 0.0252 2022/09/08 03:11:48 - mmengine - INFO - Epoch(train) [15][180/604] lr: 1.0000e-03 eta: 0:02:00 time: 0.0333 data_time: 0.0244 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0250 loss: 0.0246 2022/09/08 03:11:48 - mmengine - INFO - Epoch(train) [15][200/604] lr: 1.0000e-03 eta: 0:01:59 time: 0.0318 data_time: 0.0229 memory: 25 grad_norm: 0.0031 temporal_iou_loss: 0.0271 loss: 0.0258 2022/09/08 03:11:49 - mmengine - INFO - Epoch(train) [15][220/604] lr: 1.0000e-03 eta: 0:01:59 time: 0.0364 data_time: 0.0276 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0217 loss: 0.0242 2022/09/08 03:11:50 - mmengine - INFO - Epoch(train) [15][240/604] lr: 1.0000e-03 eta: 0:01:58 time: 0.0337 data_time: 0.0248 memory: 25 grad_norm: 0.0020 temporal_iou_loss: 0.0245 loss: 0.0242 2022/09/08 03:11:50 - mmengine - INFO - Epoch(train) [15][260/604] lr: 1.0000e-03 eta: 0:01:57 time: 0.0342 data_time: 0.0253 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0288 loss: 0.0243 2022/09/08 03:11:51 - mmengine - INFO - Epoch(train) [15][280/604] lr: 1.0000e-03 eta: 0:01:56 time: 0.0350 data_time: 0.0261 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0211 loss: 0.0249 2022/09/08 03:11:52 - mmengine - INFO - Epoch(train) [15][300/604] lr: 1.0000e-03 eta: 0:01:56 time: 0.0373 data_time: 0.0283 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0227 loss: 0.0238 2022/09/08 03:11:53 - mmengine - INFO - Epoch(train) [15][320/604] lr: 1.0000e-03 eta: 0:01:55 time: 0.0323 data_time: 0.0234 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0198 loss: 0.0253 2022/09/08 03:11:53 - mmengine - INFO - Epoch(train) [15][340/604] lr: 1.0000e-03 eta: 0:01:54 time: 0.0300 data_time: 0.0212 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0267 loss: 0.0246 2022/09/08 03:11:54 - mmengine - INFO - Epoch(train) [15][360/604] lr: 1.0000e-03 eta: 0:01:54 time: 0.0377 data_time: 0.0288 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0231 loss: 0.0234 2022/09/08 03:11:54 - mmengine - INFO - Epoch(train) [15][380/604] lr: 1.0000e-03 eta: 0:01:53 time: 0.0294 data_time: 0.0205 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0201 loss: 0.0235 2022/09/08 03:11:55 - mmengine - INFO - Epoch(train) [15][400/604] lr: 1.0000e-03 eta: 0:01:52 time: 0.0330 data_time: 0.0241 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0226 loss: 0.0240 2022/09/08 03:11:56 - mmengine - INFO - Epoch(train) [15][420/604] lr: 1.0000e-03 eta: 0:01:51 time: 0.0360 data_time: 0.0271 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0256 loss: 0.0239 2022/09/08 03:11:56 - mmengine - INFO - Epoch(train) [15][440/604] lr: 1.0000e-03 eta: 0:01:51 time: 0.0320 data_time: 0.0232 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0268 loss: 0.0255 2022/09/08 03:11:57 - mmengine - INFO - Epoch(train) [15][460/604] lr: 1.0000e-03 eta: 0:01:50 time: 0.0348 data_time: 0.0256 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0194 loss: 0.0241 2022/09/08 03:11:58 - mmengine - INFO - Epoch(train) [15][480/604] lr: 1.0000e-03 eta: 0:01:49 time: 0.0353 data_time: 0.0260 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0292 loss: 0.0247 2022/09/08 03:11:59 - mmengine - INFO - Epoch(train) [15][500/604] lr: 1.0000e-03 eta: 0:01:49 time: 0.0325 data_time: 0.0234 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0218 loss: 0.0258 2022/09/08 03:11:59 - mmengine - INFO - Epoch(train) [15][520/604] lr: 1.0000e-03 eta: 0:01:48 time: 0.0371 data_time: 0.0270 memory: 25 grad_norm: 0.0016 temporal_iou_loss: 0.0300 loss: 0.0247 2022/09/08 03:12:00 - mmengine - INFO - Epoch(train) [15][540/604] lr: 1.0000e-03 eta: 0:01:47 time: 0.0318 data_time: 0.0224 memory: 25 grad_norm: 0.0020 temporal_iou_loss: 0.0257 loss: 0.0243 2022/09/08 03:12:00 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:12:01 - mmengine - INFO - Epoch(train) [15][560/604] lr: 1.0000e-03 eta: 0:01:47 time: 0.0362 data_time: 0.0261 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0229 loss: 0.0253 2022/09/08 03:12:01 - mmengine - INFO - Epoch(train) [15][580/604] lr: 1.0000e-03 eta: 0:01:46 time: 0.0336 data_time: 0.0239 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0213 loss: 0.0247 2022/09/08 03:12:02 - mmengine - INFO - Epoch(train) [15][600/604] lr: 1.0000e-03 eta: 0:01:45 time: 0.0317 data_time: 0.0219 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0242 loss: 0.0248 2022/09/08 03:12:02 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:12:02 - mmengine - INFO - Epoch(train) [15][604/604] lr: 1.0000e-03 eta: 0:01:45 time: 0.0269 data_time: 0.0176 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0230 loss: 0.0251 2022/09/08 03:12:02 - mmengine - INFO - Saving checkpoint at 15 epochs 2022/09/08 03:12:07 - mmengine - INFO - Epoch(train) [16][20/604] lr: 1.0000e-03 eta: 0:01:44 time: 0.0642 data_time: 0.0549 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0244 loss: 0.0248 2022/09/08 03:12:08 - mmengine - INFO - Epoch(train) [16][40/604] lr: 1.0000e-03 eta: 0:01:44 time: 0.0521 data_time: 0.0429 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0275 loss: 0.0242 2022/09/08 03:12:08 - mmengine - INFO - Epoch(train) [16][60/604] lr: 1.0000e-03 eta: 0:01:43 time: 0.0304 data_time: 0.0212 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0214 loss: 0.0256 2022/09/08 03:12:09 - mmengine - INFO - Epoch(train) [16][80/604] lr: 1.0000e-03 eta: 0:01:42 time: 0.0344 data_time: 0.0252 memory: 25 grad_norm: 0.0017 temporal_iou_loss: 0.0240 loss: 0.0238 2022/09/08 03:12:10 - mmengine - INFO - Epoch(train) [16][100/604] lr: 1.0000e-03 eta: 0:01:42 time: 0.0308 data_time: 0.0216 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0277 loss: 0.0259 2022/09/08 03:12:10 - mmengine - INFO - Epoch(train) [16][120/604] lr: 1.0000e-03 eta: 0:01:41 time: 0.0363 data_time: 0.0271 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0229 loss: 0.0246 2022/09/08 03:12:11 - mmengine - INFO - Epoch(train) [16][140/604] lr: 1.0000e-03 eta: 0:01:40 time: 0.0303 data_time: 0.0212 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0243 loss: 0.0245 2022/09/08 03:12:12 - mmengine - INFO - Epoch(train) [16][160/604] lr: 1.0000e-03 eta: 0:01:40 time: 0.0320 data_time: 0.0228 memory: 25 grad_norm: 0.0020 temporal_iou_loss: 0.0264 loss: 0.0240 2022/09/08 03:12:12 - mmengine - INFO - Epoch(train) [16][180/604] lr: 1.0000e-03 eta: 0:01:39 time: 0.0347 data_time: 0.0244 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0208 loss: 0.0244 2022/09/08 03:12:13 - mmengine - INFO - Epoch(train) [16][200/604] lr: 1.0000e-03 eta: 0:01:38 time: 0.0297 data_time: 0.0204 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0237 loss: 0.0251 2022/09/08 03:12:14 - mmengine - INFO - Epoch(train) [16][220/604] lr: 1.0000e-03 eta: 0:01:37 time: 0.0311 data_time: 0.0219 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0228 loss: 0.0236 2022/09/08 03:12:14 - mmengine - INFO - Epoch(train) [16][240/604] lr: 1.0000e-03 eta: 0:01:37 time: 0.0339 data_time: 0.0247 memory: 25 grad_norm: 0.0018 temporal_iou_loss: 0.0195 loss: 0.0236 2022/09/08 03:12:15 - mmengine - INFO - Epoch(train) [16][260/604] lr: 1.0000e-03 eta: 0:01:36 time: 0.0338 data_time: 0.0247 memory: 25 grad_norm: 0.0020 temporal_iou_loss: 0.0264 loss: 0.0249 2022/09/08 03:12:16 - mmengine - INFO - Epoch(train) [16][280/604] lr: 1.0000e-03 eta: 0:01:35 time: 0.0353 data_time: 0.0241 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0270 loss: 0.0255 2022/09/08 03:12:16 - mmengine - INFO - Epoch(train) [16][300/604] lr: 1.0000e-03 eta: 0:01:35 time: 0.0356 data_time: 0.0253 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0239 loss: 0.0242 2022/09/08 03:12:17 - mmengine - INFO - Epoch(train) [16][320/604] lr: 1.0000e-03 eta: 0:01:34 time: 0.0297 data_time: 0.0195 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0295 loss: 0.0250 2022/09/08 03:12:18 - mmengine - INFO - Epoch(train) [16][340/604] lr: 1.0000e-03 eta: 0:01:33 time: 0.0318 data_time: 0.0228 memory: 25 grad_norm: 0.0017 temporal_iou_loss: 0.0209 loss: 0.0248 2022/09/08 03:12:18 - mmengine - INFO - Epoch(train) [16][360/604] lr: 1.0000e-03 eta: 0:01:32 time: 0.0313 data_time: 0.0223 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0253 loss: 0.0257 2022/09/08 03:12:19 - mmengine - INFO - Epoch(train) [16][380/604] lr: 1.0000e-03 eta: 0:01:32 time: 0.0330 data_time: 0.0239 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0234 loss: 0.0243 2022/09/08 03:12:20 - mmengine - INFO - Epoch(train) [16][400/604] lr: 1.0000e-03 eta: 0:01:31 time: 0.0318 data_time: 0.0225 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0259 loss: 0.0249 2022/09/08 03:12:20 - mmengine - INFO - Epoch(train) [16][420/604] lr: 1.0000e-03 eta: 0:01:30 time: 0.0368 data_time: 0.0275 memory: 25 grad_norm: 0.0020 temporal_iou_loss: 0.0226 loss: 0.0236 2022/09/08 03:12:21 - mmengine - INFO - Epoch(train) [16][440/604] lr: 1.0000e-03 eta: 0:01:30 time: 0.0366 data_time: 0.0273 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0234 loss: 0.0240 2022/09/08 03:12:22 - mmengine - INFO - Epoch(train) [16][460/604] lr: 1.0000e-03 eta: 0:01:29 time: 0.0381 data_time: 0.0287 memory: 25 grad_norm: 0.0020 temporal_iou_loss: 0.0251 loss: 0.0253 2022/09/08 03:12:22 - mmengine - INFO - Epoch(train) [16][480/604] lr: 1.0000e-03 eta: 0:01:28 time: 0.0299 data_time: 0.0207 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0211 loss: 0.0241 2022/09/08 03:12:23 - mmengine - INFO - Epoch(train) [16][500/604] lr: 1.0000e-03 eta: 0:01:28 time: 0.0364 data_time: 0.0271 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0258 loss: 0.0243 2022/09/08 03:12:24 - mmengine - INFO - Epoch(train) [16][520/604] lr: 1.0000e-03 eta: 0:01:27 time: 0.0326 data_time: 0.0232 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0237 loss: 0.0241 2022/09/08 03:12:24 - mmengine - INFO - Epoch(train) [16][540/604] lr: 1.0000e-03 eta: 0:01:26 time: 0.0341 data_time: 0.0247 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0281 loss: 0.0243 2022/09/08 03:12:25 - mmengine - INFO - Epoch(train) [16][560/604] lr: 1.0000e-03 eta: 0:01:25 time: 0.0338 data_time: 0.0245 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0210 loss: 0.0249 2022/09/08 03:12:26 - mmengine - INFO - Epoch(train) [16][580/604] lr: 1.0000e-03 eta: 0:01:25 time: 0.0358 data_time: 0.0265 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0314 loss: 0.0253 2022/09/08 03:12:26 - mmengine - INFO - Epoch(train) [16][600/604] lr: 1.0000e-03 eta: 0:01:24 time: 0.0314 data_time: 0.0222 memory: 25 grad_norm: 0.0017 temporal_iou_loss: 0.0223 loss: 0.0242 2022/09/08 03:12:27 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:12:27 - mmengine - INFO - Epoch(train) [16][604/604] lr: 1.0000e-03 eta: 0:01:24 time: 0.0309 data_time: 0.0221 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0235 loss: 0.0250 2022/09/08 03:12:27 - mmengine - INFO - Saving checkpoint at 16 epochs 2022/09/08 03:12:31 - mmengine - INFO - Epoch(train) [17][20/604] lr: 1.0000e-03 eta: 0:01:23 time: 0.0731 data_time: 0.0620 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0244 loss: 0.0245 2022/09/08 03:12:32 - mmengine - INFO - Epoch(train) [17][40/604] lr: 1.0000e-03 eta: 0:01:23 time: 0.0333 data_time: 0.0233 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0256 loss: 0.0257 2022/09/08 03:12:33 - mmengine - INFO - Epoch(train) [17][60/604] lr: 1.0000e-03 eta: 0:01:22 time: 0.0332 data_time: 0.0238 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0257 loss: 0.0249 2022/09/08 03:12:33 - mmengine - INFO - Epoch(train) [17][80/604] lr: 1.0000e-03 eta: 0:01:21 time: 0.0296 data_time: 0.0207 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0296 loss: 0.0249 2022/09/08 03:12:34 - mmengine - INFO - Epoch(train) [17][100/604] lr: 1.0000e-03 eta: 0:01:20 time: 0.0345 data_time: 0.0255 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0202 loss: 0.0254 2022/09/08 03:12:35 - mmengine - INFO - Epoch(train) [17][120/604] lr: 1.0000e-03 eta: 0:01:20 time: 0.0329 data_time: 0.0239 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0186 loss: 0.0244 2022/09/08 03:12:35 - mmengine - INFO - Epoch(train) [17][140/604] lr: 1.0000e-03 eta: 0:01:19 time: 0.0350 data_time: 0.0259 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0220 loss: 0.0245 2022/09/08 03:12:36 - mmengine - INFO - Epoch(train) [17][160/604] lr: 1.0000e-03 eta: 0:01:18 time: 0.0326 data_time: 0.0236 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0240 loss: 0.0241 2022/09/08 03:12:37 - mmengine - INFO - Epoch(train) [17][180/604] lr: 1.0000e-03 eta: 0:01:18 time: 0.0338 data_time: 0.0247 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0305 loss: 0.0246 2022/09/08 03:12:37 - mmengine - INFO - Epoch(train) [17][200/604] lr: 1.0000e-03 eta: 0:01:17 time: 0.0390 data_time: 0.0300 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0241 loss: 0.0252 2022/09/08 03:12:38 - mmengine - INFO - Epoch(train) [17][220/604] lr: 1.0000e-03 eta: 0:01:16 time: 0.0319 data_time: 0.0228 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0246 loss: 0.0248 2022/09/08 03:12:39 - mmengine - INFO - Epoch(train) [17][240/604] lr: 1.0000e-03 eta: 0:01:16 time: 0.0311 data_time: 0.0219 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0266 loss: 0.0238 2022/09/08 03:12:39 - mmengine - INFO - Epoch(train) [17][260/604] lr: 1.0000e-03 eta: 0:01:15 time: 0.0311 data_time: 0.0218 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0259 loss: 0.0253 2022/09/08 03:12:40 - mmengine - INFO - Epoch(train) [17][280/604] lr: 1.0000e-03 eta: 0:01:14 time: 0.0343 data_time: 0.0250 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0250 loss: 0.0244 2022/09/08 03:12:41 - mmengine - INFO - Epoch(train) [17][300/604] lr: 1.0000e-03 eta: 0:01:13 time: 0.0297 data_time: 0.0205 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0262 loss: 0.0243 2022/09/08 03:12:41 - mmengine - INFO - Epoch(train) [17][320/604] lr: 1.0000e-03 eta: 0:01:13 time: 0.0338 data_time: 0.0244 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0206 loss: 0.0246 2022/09/08 03:12:42 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:12:42 - mmengine - INFO - Epoch(train) [17][340/604] lr: 1.0000e-03 eta: 0:01:12 time: 0.0351 data_time: 0.0257 memory: 25 grad_norm: 0.0020 temporal_iou_loss: 0.0309 loss: 0.0252 2022/09/08 03:12:43 - mmengine - INFO - Epoch(train) [17][360/604] lr: 1.0000e-03 eta: 0:01:11 time: 0.0334 data_time: 0.0242 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0260 loss: 0.0252 2022/09/08 03:12:43 - mmengine - INFO - Epoch(train) [17][380/604] lr: 1.0000e-03 eta: 0:01:11 time: 0.0309 data_time: 0.0216 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0227 loss: 0.0248 2022/09/08 03:12:44 - mmengine - INFO - Epoch(train) [17][400/604] lr: 1.0000e-03 eta: 0:01:10 time: 0.0321 data_time: 0.0229 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0227 loss: 0.0245 2022/09/08 03:12:45 - mmengine - INFO - Epoch(train) [17][420/604] lr: 1.0000e-03 eta: 0:01:09 time: 0.0385 data_time: 0.0276 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0255 loss: 0.0238 2022/09/08 03:12:45 - mmengine - INFO - Epoch(train) [17][440/604] lr: 1.0000e-03 eta: 0:01:08 time: 0.0309 data_time: 0.0219 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0245 loss: 0.0243 2022/09/08 03:12:46 - mmengine - INFO - Epoch(train) [17][460/604] lr: 1.0000e-03 eta: 0:01:08 time: 0.0358 data_time: 0.0268 memory: 25 grad_norm: 0.0029 temporal_iou_loss: 0.0182 loss: 0.0239 2022/09/08 03:12:47 - mmengine - INFO - Epoch(train) [17][480/604] lr: 1.0000e-03 eta: 0:01:07 time: 0.0357 data_time: 0.0257 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0235 loss: 0.0242 2022/09/08 03:12:47 - mmengine - INFO - Epoch(train) [17][500/604] lr: 1.0000e-03 eta: 0:01:06 time: 0.0379 data_time: 0.0282 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0248 loss: 0.0249 2022/09/08 03:12:48 - mmengine - INFO - Epoch(train) [17][520/604] lr: 1.0000e-03 eta: 0:01:06 time: 0.0316 data_time: 0.0223 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0273 loss: 0.0251 2022/09/08 03:12:49 - mmengine - INFO - Epoch(train) [17][540/604] lr: 1.0000e-03 eta: 0:01:05 time: 0.0322 data_time: 0.0229 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0252 loss: 0.0240 2022/09/08 03:12:49 - mmengine - INFO - Epoch(train) [17][560/604] lr: 1.0000e-03 eta: 0:01:04 time: 0.0297 data_time: 0.0203 memory: 25 grad_norm: 0.0016 temporal_iou_loss: 0.0237 loss: 0.0237 2022/09/08 03:12:50 - mmengine - INFO - Epoch(train) [17][580/604] lr: 1.0000e-03 eta: 0:01:04 time: 0.0297 data_time: 0.0200 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0279 loss: 0.0244 2022/09/08 03:12:51 - mmengine - INFO - Epoch(train) [17][600/604] lr: 1.0000e-03 eta: 0:01:03 time: 0.0316 data_time: 0.0224 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0302 loss: 0.0246 2022/09/08 03:12:51 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:12:51 - mmengine - INFO - Epoch(train) [17][604/604] lr: 1.0000e-03 eta: 0:01:03 time: 0.0277 data_time: 0.0188 memory: 25 grad_norm: 0.0030 temporal_iou_loss: 0.0359 loss: 0.0251 2022/09/08 03:12:51 - mmengine - INFO - Saving checkpoint at 17 epochs 2022/09/08 03:12:55 - mmengine - INFO - Epoch(train) [18][20/604] lr: 1.0000e-03 eta: 0:01:02 time: 0.0663 data_time: 0.0569 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0264 loss: 0.0250 2022/09/08 03:12:56 - mmengine - INFO - Epoch(train) [18][40/604] lr: 1.0000e-03 eta: 0:01:01 time: 0.0335 data_time: 0.0243 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0272 loss: 0.0254 2022/09/08 03:12:57 - mmengine - INFO - Epoch(train) [18][60/604] lr: 1.0000e-03 eta: 0:01:01 time: 0.0324 data_time: 0.0232 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0235 loss: 0.0238 2022/09/08 03:12:57 - mmengine - INFO - Epoch(train) [18][80/604] lr: 1.0000e-03 eta: 0:01:00 time: 0.0300 data_time: 0.0207 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0203 loss: 0.0245 2022/09/08 03:12:58 - mmengine - INFO - Epoch(train) [18][100/604] lr: 1.0000e-03 eta: 0:00:59 time: 0.0317 data_time: 0.0225 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0243 loss: 0.0245 2022/09/08 03:12:59 - mmengine - INFO - Epoch(train) [18][120/604] lr: 1.0000e-03 eta: 0:00:59 time: 0.0301 data_time: 0.0209 memory: 25 grad_norm: 0.0020 temporal_iou_loss: 0.0237 loss: 0.0247 2022/09/08 03:12:59 - mmengine - INFO - Epoch(train) [18][140/604] lr: 1.0000e-03 eta: 0:00:58 time: 0.0320 data_time: 0.0228 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0226 loss: 0.0241 2022/09/08 03:13:00 - mmengine - INFO - Epoch(train) [18][160/604] lr: 1.0000e-03 eta: 0:00:57 time: 0.0311 data_time: 0.0211 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0222 loss: 0.0238 2022/09/08 03:13:00 - mmengine - INFO - Epoch(train) [18][180/604] lr: 1.0000e-03 eta: 0:00:56 time: 0.0312 data_time: 0.0220 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0263 loss: 0.0255 2022/09/08 03:13:01 - mmengine - INFO - Epoch(train) [18][200/604] lr: 1.0000e-03 eta: 0:00:56 time: 0.0335 data_time: 0.0242 memory: 25 grad_norm: 0.0020 temporal_iou_loss: 0.0241 loss: 0.0249 2022/09/08 03:13:02 - mmengine - INFO - Epoch(train) [18][220/604] lr: 1.0000e-03 eta: 0:00:55 time: 0.0359 data_time: 0.0266 memory: 25 grad_norm: 0.0031 temporal_iou_loss: 0.0267 loss: 0.0261 2022/09/08 03:13:03 - mmengine - INFO - Epoch(train) [18][240/604] lr: 1.0000e-03 eta: 0:00:54 time: 0.0407 data_time: 0.0311 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0243 loss: 0.0236 2022/09/08 03:13:03 - mmengine - INFO - Epoch(train) [18][260/604] lr: 1.0000e-03 eta: 0:00:54 time: 0.0369 data_time: 0.0273 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0275 loss: 0.0243 2022/09/08 03:13:04 - mmengine - INFO - Epoch(train) [18][280/604] lr: 1.0000e-03 eta: 0:00:53 time: 0.0363 data_time: 0.0273 memory: 25 grad_norm: 0.0020 temporal_iou_loss: 0.0269 loss: 0.0252 2022/09/08 03:13:05 - mmengine - INFO - Epoch(train) [18][300/604] lr: 1.0000e-03 eta: 0:00:52 time: 0.0342 data_time: 0.0253 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0251 loss: 0.0240 2022/09/08 03:13:05 - mmengine - INFO - Epoch(train) [18][320/604] lr: 1.0000e-03 eta: 0:00:52 time: 0.0312 data_time: 0.0223 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0251 loss: 0.0243 2022/09/08 03:13:06 - mmengine - INFO - Epoch(train) [18][340/604] lr: 1.0000e-03 eta: 0:00:51 time: 0.0334 data_time: 0.0241 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0246 loss: 0.0246 2022/09/08 03:13:07 - mmengine - INFO - Epoch(train) [18][360/604] lr: 1.0000e-03 eta: 0:00:50 time: 0.0364 data_time: 0.0271 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0242 loss: 0.0250 2022/09/08 03:13:07 - mmengine - INFO - Epoch(train) [18][380/604] lr: 1.0000e-03 eta: 0:00:49 time: 0.0342 data_time: 0.0250 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0222 loss: 0.0256 2022/09/08 03:13:08 - mmengine - INFO - Epoch(train) [18][400/604] lr: 1.0000e-03 eta: 0:00:49 time: 0.0343 data_time: 0.0251 memory: 25 grad_norm: 0.0020 temporal_iou_loss: 0.0219 loss: 0.0243 2022/09/08 03:13:09 - mmengine - INFO - Epoch(train) [18][420/604] lr: 1.0000e-03 eta: 0:00:48 time: 0.0318 data_time: 0.0226 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0200 loss: 0.0237 2022/09/08 03:13:09 - mmengine - INFO - Epoch(train) [18][440/604] lr: 1.0000e-03 eta: 0:00:47 time: 0.0300 data_time: 0.0208 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0226 loss: 0.0238 2022/09/08 03:13:10 - mmengine - INFO - Epoch(train) [18][460/604] lr: 1.0000e-03 eta: 0:00:47 time: 0.0351 data_time: 0.0259 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0257 loss: 0.0252 2022/09/08 03:13:11 - mmengine - INFO - Epoch(train) [18][480/604] lr: 1.0000e-03 eta: 0:00:46 time: 0.0343 data_time: 0.0250 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0260 loss: 0.0254 2022/09/08 03:13:11 - mmengine - INFO - Epoch(train) [18][500/604] lr: 1.0000e-03 eta: 0:00:45 time: 0.0318 data_time: 0.0226 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0279 loss: 0.0255 2022/09/08 03:13:12 - mmengine - INFO - Epoch(train) [18][520/604] lr: 1.0000e-03 eta: 0:00:45 time: 0.0319 data_time: 0.0227 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0205 loss: 0.0237 2022/09/08 03:13:13 - mmengine - INFO - Epoch(train) [18][540/604] lr: 1.0000e-03 eta: 0:00:44 time: 0.0323 data_time: 0.0230 memory: 25 grad_norm: 0.0015 temporal_iou_loss: 0.0233 loss: 0.0246 2022/09/08 03:13:13 - mmengine - INFO - Epoch(train) [18][560/604] lr: 1.0000e-03 eta: 0:00:43 time: 0.0315 data_time: 0.0223 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0233 loss: 0.0243 2022/09/08 03:13:14 - mmengine - INFO - Epoch(train) [18][580/604] lr: 1.0000e-03 eta: 0:00:42 time: 0.0303 data_time: 0.0211 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0265 loss: 0.0242 2022/09/08 03:13:15 - mmengine - INFO - Epoch(train) [18][600/604] lr: 1.0000e-03 eta: 0:00:42 time: 0.0295 data_time: 0.0203 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0246 loss: 0.0240 2022/09/08 03:13:15 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:13:15 - mmengine - INFO - Epoch(train) [18][604/604] lr: 1.0000e-03 eta: 0:00:42 time: 0.0285 data_time: 0.0195 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0193 loss: 0.0240 2022/09/08 03:13:15 - mmengine - INFO - Saving checkpoint at 18 epochs 2022/09/08 03:13:19 - mmengine - INFO - Epoch(train) [19][20/604] lr: 1.0000e-03 eta: 0:00:41 time: 0.0669 data_time: 0.0579 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0243 loss: 0.0247 2022/09/08 03:13:20 - mmengine - INFO - Epoch(train) [19][40/604] lr: 1.0000e-03 eta: 0:00:40 time: 0.0339 data_time: 0.0249 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0247 loss: 0.0248 2022/09/08 03:13:21 - mmengine - INFO - Epoch(train) [19][60/604] lr: 1.0000e-03 eta: 0:00:40 time: 0.0332 data_time: 0.0238 memory: 25 grad_norm: 0.0016 temporal_iou_loss: 0.0256 loss: 0.0251 2022/09/08 03:13:21 - mmengine - INFO - Epoch(train) [19][80/604] lr: 1.0000e-03 eta: 0:00:39 time: 0.0335 data_time: 0.0237 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0230 loss: 0.0241 2022/09/08 03:13:22 - mmengine - INFO - Epoch(train) [19][100/604] lr: 1.0000e-03 eta: 0:00:38 time: 0.0320 data_time: 0.0228 memory: 25 grad_norm: 0.0020 temporal_iou_loss: 0.0233 loss: 0.0249 2022/09/08 03:13:23 - mmengine - INFO - Epoch(train) [19][120/604] lr: 1.0000e-03 eta: 0:00:37 time: 0.0321 data_time: 0.0230 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0223 loss: 0.0248 2022/09/08 03:13:23 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:13:23 - mmengine - INFO - Epoch(train) [19][140/604] lr: 1.0000e-03 eta: 0:00:37 time: 0.0313 data_time: 0.0218 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0252 loss: 0.0246 2022/09/08 03:13:24 - mmengine - INFO - Epoch(train) [19][160/604] lr: 1.0000e-03 eta: 0:00:36 time: 0.0328 data_time: 0.0238 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0266 loss: 0.0256 2022/09/08 03:13:25 - mmengine - INFO - Epoch(train) [19][180/604] lr: 1.0000e-03 eta: 0:00:35 time: 0.0337 data_time: 0.0245 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0221 loss: 0.0236 2022/09/08 03:13:25 - mmengine - INFO - Epoch(train) [19][200/604] lr: 1.0000e-03 eta: 0:00:35 time: 0.0323 data_time: 0.0232 memory: 25 grad_norm: 0.0016 temporal_iou_loss: 0.0246 loss: 0.0240 2022/09/08 03:13:26 - mmengine - INFO - Epoch(train) [19][220/604] lr: 1.0000e-03 eta: 0:00:34 time: 0.0315 data_time: 0.0224 memory: 25 grad_norm: 0.0015 temporal_iou_loss: 0.0254 loss: 0.0237 2022/09/08 03:13:27 - mmengine - INFO - Epoch(train) [19][240/604] lr: 1.0000e-03 eta: 0:00:33 time: 0.0369 data_time: 0.0278 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0229 loss: 0.0250 2022/09/08 03:13:27 - mmengine - INFO - Epoch(train) [19][260/604] lr: 1.0000e-03 eta: 0:00:33 time: 0.0328 data_time: 0.0233 memory: 25 grad_norm: 0.0031 temporal_iou_loss: 0.0258 loss: 0.0251 2022/09/08 03:13:28 - mmengine - INFO - Epoch(train) [19][280/604] lr: 1.0000e-03 eta: 0:00:32 time: 0.0301 data_time: 0.0209 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0261 loss: 0.0246 2022/09/08 03:13:29 - mmengine - INFO - Epoch(train) [19][300/604] lr: 1.0000e-03 eta: 0:00:31 time: 0.0396 data_time: 0.0303 memory: 25 grad_norm: 0.0020 temporal_iou_loss: 0.0235 loss: 0.0237 2022/09/08 03:13:29 - mmengine - INFO - Epoch(train) [19][320/604] lr: 1.0000e-03 eta: 0:00:30 time: 0.0347 data_time: 0.0255 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0275 loss: 0.0243 2022/09/08 03:13:30 - mmengine - INFO - Epoch(train) [19][340/604] lr: 1.0000e-03 eta: 0:00:30 time: 0.0354 data_time: 0.0260 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0206 loss: 0.0231 2022/09/08 03:13:31 - mmengine - INFO - Epoch(train) [19][360/604] lr: 1.0000e-03 eta: 0:00:29 time: 0.0363 data_time: 0.0272 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0230 loss: 0.0249 2022/09/08 03:13:31 - mmengine - INFO - Epoch(train) [19][380/604] lr: 1.0000e-03 eta: 0:00:28 time: 0.0315 data_time: 0.0221 memory: 25 grad_norm: 0.0020 temporal_iou_loss: 0.0233 loss: 0.0255 2022/09/08 03:13:32 - mmengine - INFO - Epoch(train) [19][400/604] lr: 1.0000e-03 eta: 0:00:28 time: 0.0338 data_time: 0.0244 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0201 loss: 0.0243 2022/09/08 03:13:33 - mmengine - INFO - Epoch(train) [19][420/604] lr: 1.0000e-03 eta: 0:00:27 time: 0.0436 data_time: 0.0332 memory: 25 grad_norm: 0.0016 temporal_iou_loss: 0.0219 loss: 0.0244 2022/09/08 03:13:34 - mmengine - INFO - Epoch(train) [19][440/604] lr: 1.0000e-03 eta: 0:00:26 time: 0.0328 data_time: 0.0235 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0305 loss: 0.0250 2022/09/08 03:13:34 - mmengine - INFO - Epoch(train) [19][460/604] lr: 1.0000e-03 eta: 0:00:26 time: 0.0324 data_time: 0.0231 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0284 loss: 0.0247 2022/09/08 03:13:35 - mmengine - INFO - Epoch(train) [19][480/604] lr: 1.0000e-03 eta: 0:00:25 time: 0.0329 data_time: 0.0236 memory: 25 grad_norm: 0.0020 temporal_iou_loss: 0.0220 loss: 0.0234 2022/09/08 03:13:36 - mmengine - INFO - Epoch(train) [19][500/604] lr: 1.0000e-03 eta: 0:00:24 time: 0.0353 data_time: 0.0251 memory: 25 grad_norm: 0.0018 temporal_iou_loss: 0.0195 loss: 0.0235 2022/09/08 03:13:36 - mmengine - INFO - Epoch(train) [19][520/604] lr: 1.0000e-03 eta: 0:00:23 time: 0.0326 data_time: 0.0226 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0228 loss: 0.0256 2022/09/08 03:13:37 - mmengine - INFO - Epoch(train) [19][540/604] lr: 1.0000e-03 eta: 0:00:23 time: 0.0336 data_time: 0.0240 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0271 loss: 0.0260 2022/09/08 03:13:38 - mmengine - INFO - Epoch(train) [19][560/604] lr: 1.0000e-03 eta: 0:00:22 time: 0.0362 data_time: 0.0268 memory: 25 grad_norm: 0.0018 temporal_iou_loss: 0.0200 loss: 0.0241 2022/09/08 03:13:38 - mmengine - INFO - Epoch(train) [19][580/604] lr: 1.0000e-03 eta: 0:00:21 time: 0.0371 data_time: 0.0281 memory: 25 grad_norm: 0.0024 temporal_iou_loss: 0.0246 loss: 0.0243 2022/09/08 03:13:39 - mmengine - INFO - Epoch(train) [19][600/604] lr: 1.0000e-03 eta: 0:00:21 time: 0.0305 data_time: 0.0208 memory: 25 grad_norm: 0.0030 temporal_iou_loss: 0.0277 loss: 0.0253 2022/09/08 03:13:39 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:13:39 - mmengine - INFO - Epoch(train) [19][604/604] lr: 1.0000e-03 eta: 0:00:21 time: 0.0289 data_time: 0.0198 memory: 25 grad_norm: 0.0031 temporal_iou_loss: 0.0347 loss: 0.0261 2022/09/08 03:13:39 - mmengine - INFO - Saving checkpoint at 19 epochs 2022/09/08 03:13:44 - mmengine - INFO - Epoch(train) [20][20/604] lr: 1.0000e-03 eta: 0:00:20 time: 0.0613 data_time: 0.0521 memory: 25 grad_norm: 0.0030 temporal_iou_loss: 0.0244 loss: 0.0248 2022/09/08 03:13:44 - mmengine - INFO - Epoch(train) [20][40/604] lr: 1.0000e-03 eta: 0:00:19 time: 0.0321 data_time: 0.0231 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0274 loss: 0.0247 2022/09/08 03:13:45 - mmengine - INFO - Epoch(train) [20][60/604] lr: 1.0000e-03 eta: 0:00:18 time: 0.0363 data_time: 0.0269 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0299 loss: 0.0254 2022/09/08 03:13:46 - mmengine - INFO - Epoch(train) [20][80/604] lr: 1.0000e-03 eta: 0:00:18 time: 0.0339 data_time: 0.0244 memory: 25 grad_norm: 0.0031 temporal_iou_loss: 0.0284 loss: 0.0245 2022/09/08 03:13:46 - mmengine - INFO - Epoch(train) [20][100/604] lr: 1.0000e-03 eta: 0:00:17 time: 0.0304 data_time: 0.0214 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0261 loss: 0.0243 2022/09/08 03:13:47 - mmengine - INFO - Epoch(train) [20][120/604] lr: 1.0000e-03 eta: 0:00:16 time: 0.0333 data_time: 0.0242 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0254 loss: 0.0238 2022/09/08 03:13:48 - mmengine - INFO - Epoch(train) [20][140/604] lr: 1.0000e-03 eta: 0:00:16 time: 0.0326 data_time: 0.0236 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0198 loss: 0.0245 2022/09/08 03:13:48 - mmengine - INFO - Epoch(train) [20][160/604] lr: 1.0000e-03 eta: 0:00:15 time: 0.0283 data_time: 0.0188 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0281 loss: 0.0251 2022/09/08 03:13:49 - mmengine - INFO - Epoch(train) [20][180/604] lr: 1.0000e-03 eta: 0:00:14 time: 0.0353 data_time: 0.0260 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0246 loss: 0.0242 2022/09/08 03:13:50 - mmengine - INFO - Epoch(train) [20][200/604] lr: 1.0000e-03 eta: 0:00:14 time: 0.0321 data_time: 0.0230 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0187 loss: 0.0243 2022/09/08 03:13:50 - mmengine - INFO - Epoch(train) [20][220/604] lr: 1.0000e-03 eta: 0:00:13 time: 0.0362 data_time: 0.0268 memory: 25 grad_norm: 0.0017 temporal_iou_loss: 0.0237 loss: 0.0240 2022/09/08 03:13:51 - mmengine - INFO - Epoch(train) [20][240/604] lr: 1.0000e-03 eta: 0:00:12 time: 0.0316 data_time: 0.0218 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0279 loss: 0.0254 2022/09/08 03:13:52 - mmengine - INFO - Epoch(train) [20][260/604] lr: 1.0000e-03 eta: 0:00:11 time: 0.0308 data_time: 0.0218 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0291 loss: 0.0256 2022/09/08 03:13:52 - mmengine - INFO - Epoch(train) [20][280/604] lr: 1.0000e-03 eta: 0:00:11 time: 0.0309 data_time: 0.0218 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0218 loss: 0.0247 2022/09/08 03:13:53 - mmengine - INFO - Epoch(train) [20][300/604] lr: 1.0000e-03 eta: 0:00:10 time: 0.0325 data_time: 0.0235 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0256 loss: 0.0246 2022/09/08 03:13:54 - mmengine - INFO - Epoch(train) [20][320/604] lr: 1.0000e-03 eta: 0:00:09 time: 0.0320 data_time: 0.0230 memory: 25 grad_norm: 0.0028 temporal_iou_loss: 0.0240 loss: 0.0231 2022/09/08 03:13:54 - mmengine - INFO - Epoch(train) [20][340/604] lr: 1.0000e-03 eta: 0:00:09 time: 0.0372 data_time: 0.0281 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0230 loss: 0.0245 2022/09/08 03:13:55 - mmengine - INFO - Epoch(train) [20][360/604] lr: 1.0000e-03 eta: 0:00:08 time: 0.0339 data_time: 0.0238 memory: 25 grad_norm: 0.0021 temporal_iou_loss: 0.0234 loss: 0.0245 2022/09/08 03:13:56 - mmengine - INFO - Epoch(train) [20][380/604] lr: 1.0000e-03 eta: 0:00:07 time: 0.0329 data_time: 0.0240 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0209 loss: 0.0240 2022/09/08 03:13:56 - mmengine - INFO - Epoch(train) [20][400/604] lr: 1.0000e-03 eta: 0:00:07 time: 0.0341 data_time: 0.0251 memory: 25 grad_norm: 0.0025 temporal_iou_loss: 0.0260 loss: 0.0256 2022/09/08 03:13:57 - mmengine - INFO - Epoch(train) [20][420/604] lr: 1.0000e-03 eta: 0:00:06 time: 0.0338 data_time: 0.0248 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0260 loss: 0.0245 2022/09/08 03:13:58 - mmengine - INFO - Epoch(train) [20][440/604] lr: 1.0000e-03 eta: 0:00:05 time: 0.0283 data_time: 0.0193 memory: 25 grad_norm: 0.0020 temporal_iou_loss: 0.0237 loss: 0.0245 2022/09/08 03:13:58 - mmengine - INFO - Epoch(train) [20][460/604] lr: 1.0000e-03 eta: 0:00:05 time: 0.0346 data_time: 0.0257 memory: 25 grad_norm: 0.0023 temporal_iou_loss: 0.0207 loss: 0.0247 2022/09/08 03:13:59 - mmengine - INFO - Epoch(train) [20][480/604] lr: 1.0000e-03 eta: 0:00:04 time: 0.0316 data_time: 0.0226 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0233 loss: 0.0240 2022/09/08 03:14:00 - mmengine - INFO - Epoch(train) [20][500/604] lr: 1.0000e-03 eta: 0:00:03 time: 0.0326 data_time: 0.0223 memory: 25 grad_norm: 0.0022 temporal_iou_loss: 0.0253 loss: 0.0250 2022/09/08 03:14:00 - mmengine - INFO - Epoch(train) [20][520/604] lr: 1.0000e-03 eta: 0:00:02 time: 0.0319 data_time: 0.0226 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0258 loss: 0.0244 2022/09/08 03:14:00 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:14:01 - mmengine - INFO - Epoch(train) [20][540/604] lr: 1.0000e-03 eta: 0:00:02 time: 0.0320 data_time: 0.0230 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0272 loss: 0.0249 2022/09/08 03:14:01 - mmengine - INFO - Epoch(train) [20][560/604] lr: 1.0000e-03 eta: 0:00:01 time: 0.0327 data_time: 0.0237 memory: 25 grad_norm: 0.0026 temporal_iou_loss: 0.0226 loss: 0.0242 2022/09/08 03:14:02 - mmengine - INFO - Epoch(train) [20][580/604] lr: 1.0000e-03 eta: 0:00:00 time: 0.0360 data_time: 0.0270 memory: 25 grad_norm: 0.0016 temporal_iou_loss: 0.0243 loss: 0.0247 2022/09/08 03:14:03 - mmengine - INFO - Epoch(train) [20][600/604] lr: 1.0000e-03 eta: 0:00:00 time: 0.0295 data_time: 0.0196 memory: 25 grad_norm: 0.0019 temporal_iou_loss: 0.0239 loss: 0.0244 2022/09/08 03:14:03 - mmengine - INFO - Exp name: bsn_pem_400x100_1x16_20e_activitynet_feature_20220908_030543 2022/09/08 03:14:03 - mmengine - INFO - Epoch(train) [20][604/604] lr: 1.0000e-03 eta: 0:00:00 time: 0.0293 data_time: 0.0196 memory: 25 grad_norm: 0.0027 temporal_iou_loss: 0.0253 loss: 0.0250 2022/09/08 03:14:03 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/09/08 03:14:15 - mmengine - INFO - Epoch(val) [20][20/4728] eta: 0:32:40 time: 0.4164 data_time: 0.0289 memory: 2 2022/09/08 03:14:24 - mmengine - INFO - Epoch(val) [20][40/4728] eta: 0:35:01 time: 0.4483 data_time: 0.0027 memory: 2 2022/09/08 03:14:32 - mmengine - INFO - Epoch(val) [20][60/4728] eta: 0:32:41 time: 0.4203 data_time: 0.0027 memory: 2 2022/09/08 03:14:41 - mmengine - INFO - Epoch(val) [20][80/4728] eta: 0:34:56 time: 0.4511 data_time: 0.0027 memory: 2 2022/09/08 03:14:49 - mmengine - INFO - Epoch(val) [20][100/4728] eta: 0:31:21 time: 0.4066 data_time: 0.0026 memory: 2 2022/09/08 03:14:57 - mmengine - INFO - Epoch(val) [20][120/4728] eta: 0:30:59 time: 0.4035 data_time: 0.0026 memory: 2 2022/09/08 03:15:06 - mmengine - INFO - Epoch(val) [20][140/4728] eta: 0:32:12 time: 0.4211 data_time: 0.0027 memory: 2 2022/09/08 03:15:15 - mmengine - INFO - Epoch(val) [20][160/4728] eta: 0:34:04 time: 0.4476 data_time: 0.0026 memory: 2 2022/09/08 03:15:22 - mmengine - INFO - Epoch(val) [20][180/4728] eta: 0:29:47 time: 0.3931 data_time: 0.0068 memory: 2 2022/09/08 03:15:30 - mmengine - INFO - Epoch(val) [20][200/4728] eta: 0:30:01 time: 0.3979 data_time: 0.0026 memory: 2 2022/09/08 03:15:39 - mmengine - INFO - Epoch(val) [20][220/4728] eta: 0:31:09 time: 0.4148 data_time: 0.0026 memory: 2 2022/09/08 03:15:47 - mmengine - INFO - Epoch(val) [20][240/4728] eta: 0:32:43 time: 0.4374 data_time: 0.0027 memory: 2 2022/09/08 03:15:56 - mmengine - INFO - Epoch(val) [20][260/4728] eta: 0:30:21 time: 0.4076 data_time: 0.0027 memory: 2 2022/09/08 03:16:04 - mmengine - INFO - Epoch(val) [20][280/4728] eta: 0:32:03 time: 0.4323 data_time: 0.0026 memory: 2 2022/09/08 03:16:13 - mmengine - INFO - Epoch(val) [20][300/4728] eta: 0:30:47 time: 0.4172 data_time: 0.0026 memory: 2 2022/09/08 03:16:21 - mmengine - INFO - Epoch(val) [20][320/4728] eta: 0:29:24 time: 0.4003 data_time: 0.0026 memory: 2 2022/09/08 03:16:29 - mmengine - INFO - Epoch(val) [20][340/4728] eta: 0:31:19 time: 0.4284 data_time: 0.0027 memory: 2 2022/09/08 03:16:38 - mmengine - INFO - Epoch(val) [20][360/4728] eta: 0:31:28 time: 0.4323 data_time: 0.0027 memory: 2 2022/09/08 03:16:46 - mmengine - INFO - Epoch(val) [20][380/4728] eta: 0:29:29 time: 0.4070 data_time: 0.0026 memory: 2 2022/09/08 03:16:54 - mmengine - INFO - Epoch(val) [20][400/4728] eta: 0:30:19 time: 0.4204 data_time: 0.0027 memory: 2 2022/09/08 03:17:02 - mmengine - INFO - Epoch(val) [20][420/4728] eta: 0:27:56 time: 0.3891 data_time: 0.0026 memory: 2 2022/09/08 03:17:11 - mmengine - INFO - Epoch(val) [20][440/4728] eta: 0:30:11 time: 0.4224 data_time: 0.0026 memory: 2 2022/09/08 03:17:20 - mmengine - INFO - Epoch(val) [20][460/4728] eta: 0:31:49 time: 0.4473 data_time: 0.0026 memory: 2 2022/09/08 03:17:27 - mmengine - INFO - Epoch(val) [20][480/4728] eta: 0:27:40 time: 0.3908 data_time: 0.0026 memory: 2 2022/09/08 03:17:36 - mmengine - INFO - Epoch(val) [20][500/4728] eta: 0:29:20 time: 0.4164 data_time: 0.0027 memory: 2 2022/09/08 03:17:43 - mmengine - INFO - Epoch(val) [20][520/4728] eta: 0:27:22 time: 0.3904 data_time: 0.0026 memory: 2 2022/09/08 03:17:51 - mmengine - INFO - Epoch(val) [20][540/4728] eta: 0:27:08 time: 0.3889 data_time: 0.0026 memory: 2 2022/09/08 03:18:00 - mmengine - INFO - Epoch(val) [20][560/4728] eta: 0:30:34 time: 0.4401 data_time: 0.0026 memory: 2 2022/09/08 03:18:09 - mmengine - INFO - Epoch(val) [20][580/4728] eta: 0:30:06 time: 0.4355 data_time: 0.0027 memory: 2 2022/09/08 03:18:18 - mmengine - INFO - Epoch(val) [20][600/4728] eta: 0:32:40 time: 0.4750 data_time: 0.0026 memory: 2 2022/09/08 03:18:26 - mmengine - INFO - Epoch(val) [20][620/4728] eta: 0:27:54 time: 0.4076 data_time: 0.0026 memory: 2 2022/09/08 03:18:34 - mmengine - INFO - Epoch(val) [20][640/4728] eta: 0:26:06 time: 0.3832 data_time: 0.0061 memory: 2 2022/09/08 03:18:43 - mmengine - INFO - Epoch(val) [20][660/4728] eta: 0:29:56 time: 0.4415 data_time: 0.0026 memory: 2 2022/09/08 03:18:51 - mmengine - INFO - Epoch(val) [20][680/4728] eta: 0:28:10 time: 0.4176 data_time: 0.0026 memory: 2 2022/09/08 03:18:59 - mmengine - INFO - Epoch(val) [20][700/4728] eta: 0:25:23 time: 0.3783 data_time: 0.0026 memory: 2 2022/09/08 03:19:08 - mmengine - INFO - Epoch(val) [20][720/4728] eta: 0:29:29 time: 0.4415 data_time: 0.0026 memory: 2 2022/09/08 03:19:16 - mmengine - INFO - Epoch(val) [20][740/4728] eta: 0:29:11 time: 0.4392 data_time: 0.0027 memory: 2 2022/09/08 03:19:25 - mmengine - INFO - Epoch(val) [20][760/4728] eta: 0:29:21 time: 0.4440 data_time: 0.0026 memory: 2 2022/09/08 03:19:34 - mmengine - INFO - Epoch(val) [20][780/4728] eta: 0:27:51 time: 0.4234 data_time: 0.0026 memory: 2 2022/09/08 03:19:43 - mmengine - INFO - Epoch(val) [20][800/4728] eta: 0:28:55 time: 0.4418 data_time: 0.0026 memory: 2 2022/09/08 03:19:51 - mmengine - INFO - Epoch(val) [20][820/4728] eta: 0:27:43 time: 0.4256 data_time: 0.0026 memory: 2 2022/09/08 03:20:00 - mmengine - INFO - Epoch(val) [20][840/4728] eta: 0:28:34 time: 0.4409 data_time: 0.0026 memory: 2 2022/09/08 03:20:08 - mmengine - INFO - Epoch(val) [20][860/4728] eta: 0:26:33 time: 0.4121 data_time: 0.0026 memory: 2 2022/09/08 03:20:17 - mmengine - INFO - Epoch(val) [20][880/4728] eta: 0:29:32 time: 0.4605 data_time: 0.0026 memory: 2 2022/09/08 03:20:25 - mmengine - INFO - Epoch(val) [20][900/4728] eta: 0:25:03 time: 0.3928 data_time: 0.0026 memory: 2 2022/09/08 03:20:34 - mmengine - INFO - Epoch(val) [20][920/4728] eta: 0:26:19 time: 0.4149 data_time: 0.0026 memory: 2 2022/09/08 03:20:42 - mmengine - INFO - Epoch(val) [20][940/4728] eta: 0:25:29 time: 0.4037 data_time: 0.0026 memory: 2 2022/09/08 03:20:49 - mmengine - INFO - Epoch(val) [20][960/4728] eta: 0:24:23 time: 0.3884 data_time: 0.0026 memory: 2 2022/09/08 03:20:58 - mmengine - INFO - Epoch(val) [20][980/4728] eta: 0:26:54 time: 0.4307 data_time: 0.0026 memory: 2 2022/09/08 03:21:07 - mmengine - INFO - Epoch(val) [20][1000/4728] eta: 0:26:23 time: 0.4246 data_time: 0.0026 memory: 2 2022/09/08 03:21:14 - mmengine - INFO - Epoch(val) [20][1020/4728] eta: 0:24:15 time: 0.3927 data_time: 0.0026 memory: 2 2022/09/08 03:21:23 - mmengine - INFO - Epoch(val) [20][1040/4728] eta: 0:25:43 time: 0.4184 data_time: 0.0026 memory: 2 2022/09/08 03:21:31 - mmengine - INFO - Epoch(val) [20][1060/4728] eta: 0:25:14 time: 0.4128 data_time: 0.0026 memory: 2 2022/09/08 03:21:40 - mmengine - INFO - Epoch(val) [20][1080/4728] eta: 0:26:04 time: 0.4290 data_time: 0.0027 memory: 2 2022/09/08 03:21:48 - mmengine - INFO - Epoch(val) [20][1100/4728] eta: 0:25:24 time: 0.4201 data_time: 0.0026 memory: 2 2022/09/08 03:21:56 - mmengine - INFO - Epoch(val) [20][1120/4728] eta: 0:25:35 time: 0.4257 data_time: 0.0026 memory: 2 2022/09/08 03:22:06 - mmengine - INFO - Epoch(val) [20][1140/4728] eta: 0:27:14 time: 0.4554 data_time: 0.0027 memory: 2 2022/09/08 03:22:13 - mmengine - INFO - Epoch(val) [20][1160/4728] eta: 0:23:08 time: 0.3890 data_time: 0.0026 memory: 2 2022/09/08 03:22:22 - mmengine - INFO - Epoch(val) [20][1180/4728] eta: 0:25:59 time: 0.4396 data_time: 0.0026 memory: 2 2022/09/08 03:22:30 - mmengine - INFO - Epoch(val) [20][1200/4728] eta: 0:22:30 time: 0.3827 data_time: 0.0026 memory: 2 2022/09/08 03:22:39 - mmengine - INFO - Epoch(val) [20][1220/4728] eta: 0:25:46 time: 0.4408 data_time: 0.0026 memory: 2 2022/09/08 03:22:47 - mmengine - INFO - Epoch(val) [20][1240/4728] eta: 0:23:21 time: 0.4018 data_time: 0.0026 memory: 2 2022/09/08 03:22:55 - mmengine - INFO - Epoch(val) [20][1260/4728] eta: 0:23:56 time: 0.4141 data_time: 0.0026 memory: 2 2022/09/08 03:23:04 - mmengine - INFO - Epoch(val) [20][1280/4728] eta: 0:24:57 time: 0.4344 data_time: 0.0026 memory: 2 2022/09/08 03:23:13 - mmengine - INFO - Epoch(val) [20][1300/4728] eta: 0:26:43 time: 0.4679 data_time: 0.0026 memory: 2 2022/09/08 03:23:22 - mmengine - INFO - Epoch(val) [20][1320/4728] eta: 0:24:37 time: 0.4334 data_time: 0.0026 memory: 2 2022/09/08 03:23:30 - mmengine - INFO - Epoch(val) [20][1340/4728] eta: 0:24:31 time: 0.4342 data_time: 0.0026 memory: 2 2022/09/08 03:23:38 - mmengine - INFO - Epoch(val) [20][1360/4728] eta: 0:20:15 time: 0.3609 data_time: 0.0026 memory: 2 2022/09/08 03:23:46 - mmengine - INFO - Epoch(val) [20][1380/4728] eta: 0:23:20 time: 0.4183 data_time: 0.0026 memory: 2 2022/09/08 03:23:54 - mmengine - INFO - Epoch(val) [20][1400/4728] eta: 0:22:53 time: 0.4127 data_time: 0.0026 memory: 2 2022/09/08 03:24:03 - mmengine - INFO - Epoch(val) [20][1420/4728] eta: 0:25:32 time: 0.4633 data_time: 0.0026 memory: 2 2022/09/08 03:24:11 - mmengine - INFO - Epoch(val) [20][1440/4728] eta: 0:20:48 time: 0.3796 data_time: 0.0026 memory: 2 2022/09/08 03:24:19 - mmengine - INFO - Epoch(val) [20][1460/4728] eta: 0:21:53 time: 0.4018 data_time: 0.0026 memory: 2 2022/09/08 03:24:28 - mmengine - INFO - Epoch(val) [20][1480/4728] eta: 0:23:59 time: 0.4431 data_time: 0.0026 memory: 2 2022/09/08 03:24:36 - mmengine - INFO - Epoch(val) [20][1500/4728] eta: 0:20:57 time: 0.3896 data_time: 0.0026 memory: 2 2022/09/08 03:24:44 - mmengine - INFO - Epoch(val) [20][1520/4728] eta: 0:22:12 time: 0.4153 data_time: 0.0026 memory: 2 2022/09/08 03:24:52 - mmengine - INFO - Epoch(val) [20][1540/4728] eta: 0:20:58 time: 0.3948 data_time: 0.0026 memory: 2 2022/09/08 03:25:01 - mmengine - INFO - Epoch(val) [20][1560/4728] eta: 0:22:50 time: 0.4327 data_time: 0.0026 memory: 2 2022/09/08 03:25:09 - mmengine - INFO - Epoch(val) [20][1580/4728] eta: 0:21:26 time: 0.4087 data_time: 0.0026 memory: 2 2022/09/08 03:25:18 - mmengine - INFO - Epoch(val) [20][1600/4728] eta: 0:22:46 time: 0.4367 data_time: 0.0026 memory: 2 2022/09/08 03:25:26 - mmengine - INFO - Epoch(val) [20][1620/4728] eta: 0:21:40 time: 0.4185 data_time: 0.0026 memory: 2 2022/09/08 03:25:34 - mmengine - INFO - Epoch(val) [20][1640/4728] eta: 0:21:51 time: 0.4248 data_time: 0.0026 memory: 2 2022/09/08 03:25:42 - mmengine - INFO - Epoch(val) [20][1660/4728] eta: 0:20:42 time: 0.4049 data_time: 0.0026 memory: 2 2022/09/08 03:25:51 - mmengine - INFO - Epoch(val) [20][1680/4728] eta: 0:20:31 time: 0.4041 data_time: 0.0026 memory: 2 2022/09/08 03:25:59 - mmengine - INFO - Epoch(val) [20][1700/4728] eta: 0:22:04 time: 0.4373 data_time: 0.0026 memory: 2 2022/09/08 03:26:08 - mmengine - INFO - Epoch(val) [20][1720/4728] eta: 0:22:03 time: 0.4401 data_time: 0.0026 memory: 2 2022/09/08 03:26:16 - mmengine - INFO - Epoch(val) [20][1740/4728] eta: 0:20:30 time: 0.4119 data_time: 0.0026 memory: 2 2022/09/08 03:26:24 - mmengine - INFO - Epoch(val) [20][1760/4728] eta: 0:20:05 time: 0.4062 data_time: 0.0026 memory: 2 2022/09/08 03:26:32 - mmengine - INFO - Epoch(val) [20][1780/4728] eta: 0:19:40 time: 0.4003 data_time: 0.0026 memory: 2 2022/09/08 03:26:41 - mmengine - INFO - Epoch(val) [20][1800/4728] eta: 0:21:37 time: 0.4433 data_time: 0.0026 memory: 2 2022/09/08 03:26:49 - mmengine - INFO - Epoch(val) [20][1820/4728] eta: 0:18:00 time: 0.3715 data_time: 0.0026 memory: 2 2022/09/08 03:26:57 - mmengine - INFO - Epoch(val) [20][1840/4728] eta: 0:19:22 time: 0.4024 data_time: 0.0026 memory: 2 2022/09/08 03:27:05 - mmengine - INFO - Epoch(val) [20][1860/4728] eta: 0:18:33 time: 0.3884 data_time: 0.0026 memory: 2 2022/09/08 03:27:13 - mmengine - INFO - Epoch(val) [20][1880/4728] eta: 0:19:06 time: 0.4025 data_time: 0.0027 memory: 2 2022/09/08 03:27:21 - mmengine - INFO - Epoch(val) [20][1900/4728] eta: 0:18:47 time: 0.3986 data_time: 0.0027 memory: 2 2022/09/08 03:27:29 - mmengine - INFO - Epoch(val) [20][1920/4728] eta: 0:18:34 time: 0.3967 data_time: 0.0027 memory: 2 2022/09/08 03:27:38 - mmengine - INFO - Epoch(val) [20][1940/4728] eta: 0:20:50 time: 0.4487 data_time: 0.0027 memory: 2 2022/09/08 03:27:47 - mmengine - INFO - Epoch(val) [20][1960/4728] eta: 0:21:35 time: 0.4680 data_time: 0.0027 memory: 2 2022/09/08 03:27:55 - mmengine - INFO - Epoch(val) [20][1980/4728] eta: 0:18:14 time: 0.3984 data_time: 0.0027 memory: 2 2022/09/08 03:28:04 - mmengine - INFO - Epoch(val) [20][2000/4728] eta: 0:19:37 time: 0.4316 data_time: 0.0027 memory: 2 2022/09/08 03:28:12 - mmengine - INFO - Epoch(val) [20][2020/4728] eta: 0:20:11 time: 0.4475 data_time: 0.0030 memory: 2 2022/09/08 03:28:21 - mmengine - INFO - Epoch(val) [20][2040/4728] eta: 0:19:14 time: 0.4294 data_time: 0.0027 memory: 2 2022/09/08 03:28:30 - mmengine - INFO - Epoch(val) [20][2060/4728] eta: 0:18:51 time: 0.4242 data_time: 0.0027 memory: 2 2022/09/08 03:28:38 - mmengine - INFO - Epoch(val) [20][2080/4728] eta: 0:18:16 time: 0.4140 data_time: 0.0027 memory: 2 2022/09/08 03:28:47 - mmengine - INFO - Epoch(val) [20][2100/4728] eta: 0:19:39 time: 0.4488 data_time: 0.0027 memory: 2 2022/09/08 03:28:55 - mmengine - INFO - Epoch(val) [20][2120/4728] eta: 0:18:17 time: 0.4208 data_time: 0.0027 memory: 2 2022/09/08 03:29:04 - mmengine - INFO - Epoch(val) [20][2140/4728] eta: 0:18:25 time: 0.4270 data_time: 0.0027 memory: 2 2022/09/08 03:29:12 - mmengine - INFO - Epoch(val) [20][2160/4728] eta: 0:17:03 time: 0.3987 data_time: 0.0027 memory: 2 2022/09/08 03:29:20 - mmengine - INFO - Epoch(val) [20][2180/4728] eta: 0:18:32 time: 0.4364 data_time: 0.0027 memory: 2 2022/09/08 03:29:29 - mmengine - INFO - Epoch(val) [20][2200/4728] eta: 0:18:29 time: 0.4390 data_time: 0.0027 memory: 2 2022/09/08 03:29:38 - mmengine - INFO - Epoch(val) [20][2220/4728] eta: 0:17:46 time: 0.4253 data_time: 0.0027 memory: 2 2022/09/08 03:29:47 - mmengine - INFO - Epoch(val) [20][2240/4728] eta: 0:18:28 time: 0.4454 data_time: 0.0027 memory: 2 2022/09/08 03:29:55 - mmengine - INFO - Epoch(val) [20][2260/4728] eta: 0:17:54 time: 0.4356 data_time: 0.0027 memory: 2 2022/09/08 03:30:04 - mmengine - INFO - Epoch(val) [20][2280/4728] eta: 0:16:55 time: 0.4148 data_time: 0.0027 memory: 2 2022/09/08 03:30:12 - mmengine - INFO - Epoch(val) [20][2300/4728] eta: 0:15:59 time: 0.3953 data_time: 0.0027 memory: 2 2022/09/08 03:30:20 - mmengine - INFO - Epoch(val) [20][2320/4728] eta: 0:17:48 time: 0.4439 data_time: 0.0027 memory: 2 2022/09/08 03:30:29 - mmengine - INFO - Epoch(val) [20][2340/4728] eta: 0:16:28 time: 0.4138 data_time: 0.0027 memory: 2 2022/09/08 03:30:38 - mmengine - INFO - Epoch(val) [20][2360/4728] eta: 0:17:39 time: 0.4472 data_time: 0.0027 memory: 2 2022/09/08 03:30:46 - mmengine - INFO - Epoch(val) [20][2380/4728] eta: 0:16:32 time: 0.4228 data_time: 0.0027 memory: 2 2022/09/08 03:30:54 - mmengine - INFO - Epoch(val) [20][2400/4728] eta: 0:16:04 time: 0.4144 data_time: 0.0027 memory: 2 2022/09/08 03:31:03 - mmengine - INFO - Epoch(val) [20][2420/4728] eta: 0:16:07 time: 0.4191 data_time: 0.0027 memory: 2 2022/09/08 03:31:11 - mmengine - INFO - Epoch(val) [20][2440/4728] eta: 0:16:32 time: 0.4336 data_time: 0.0028 memory: 2 2022/09/08 03:31:21 - mmengine - INFO - Epoch(val) [20][2460/4728] eta: 0:17:22 time: 0.4595 data_time: 0.0027 memory: 2 2022/09/08 03:31:29 - mmengine - INFO - Epoch(val) [20][2480/4728] eta: 0:16:20 time: 0.4362 data_time: 0.0027 memory: 2 2022/09/08 03:31:38 - mmengine - INFO - Epoch(val) [20][2500/4728] eta: 0:16:12 time: 0.4367 data_time: 0.0027 memory: 2 2022/09/08 03:31:46 - mmengine - INFO - Epoch(val) [20][2520/4728] eta: 0:13:46 time: 0.3744 data_time: 0.0027 memory: 2 2022/09/08 03:31:54 - mmengine - INFO - Epoch(val) [20][2540/4728] eta: 0:15:38 time: 0.4292 data_time: 0.0027 memory: 2 2022/09/08 03:32:03 - mmengine - INFO - Epoch(val) [20][2560/4728] eta: 0:15:47 time: 0.4369 data_time: 0.0027 memory: 2 2022/09/08 03:32:12 - mmengine - INFO - Epoch(val) [20][2580/4728] eta: 0:15:27 time: 0.4319 data_time: 0.0027 memory: 2 2022/09/08 03:32:20 - mmengine - INFO - Epoch(val) [20][2600/4728] eta: 0:14:31 time: 0.4095 data_time: 0.0027 memory: 2 2022/09/08 03:32:28 - mmengine - INFO - Epoch(val) [20][2620/4728] eta: 0:15:20 time: 0.4368 data_time: 0.0030 memory: 2 2022/09/08 03:32:37 - mmengine - INFO - Epoch(val) [20][2640/4728] eta: 0:15:16 time: 0.4387 data_time: 0.0029 memory: 2 2022/09/08 03:32:46 - mmengine - INFO - Epoch(val) [20][2660/4728] eta: 0:14:41 time: 0.4261 data_time: 0.0027 memory: 2 2022/09/08 03:32:55 - mmengine - INFO - Epoch(val) [20][2680/4728] eta: 0:15:26 time: 0.4525 data_time: 0.0027 memory: 2 2022/09/08 03:33:04 - mmengine - INFO - Epoch(val) [20][2700/4728] eta: 0:14:57 time: 0.4423 data_time: 0.0027 memory: 2 2022/09/08 03:33:12 - mmengine - INFO - Epoch(val) [20][2720/4728] eta: 0:14:13 time: 0.4251 data_time: 0.0027 memory: 2 2022/09/08 03:33:21 - mmengine - INFO - Epoch(val) [20][2740/4728] eta: 0:14:00 time: 0.4229 data_time: 0.0029 memory: 2 2022/09/08 03:33:29 - mmengine - INFO - Epoch(val) [20][2760/4728] eta: 0:14:09 time: 0.4318 data_time: 0.0029 memory: 2 2022/09/08 03:33:38 - mmengine - INFO - Epoch(val) [20][2780/4728] eta: 0:14:07 time: 0.4353 data_time: 0.0027 memory: 2 2022/09/08 03:33:47 - mmengine - INFO - Epoch(val) [20][2800/4728] eta: 0:14:05 time: 0.4388 data_time: 0.0026 memory: 2 2022/09/08 03:33:55 - mmengine - INFO - Epoch(val) [20][2820/4728] eta: 0:12:46 time: 0.4015 data_time: 0.0027 memory: 2 2022/09/08 03:34:03 - mmengine - INFO - Epoch(val) [20][2840/4728] eta: 0:12:43 time: 0.4045 data_time: 0.0026 memory: 2 2022/09/08 03:34:11 - mmengine - INFO - Epoch(val) [20][2860/4728] eta: 0:12:57 time: 0.4163 data_time: 0.0027 memory: 2 2022/09/08 03:34:20 - mmengine - INFO - Epoch(val) [20][2880/4728] eta: 0:13:54 time: 0.4513 data_time: 0.0029 memory: 2 2022/09/08 03:34:28 - mmengine - INFO - Epoch(val) [20][2900/4728] eta: 0:11:27 time: 0.3759 data_time: 0.0029 memory: 2 2022/09/08 03:34:36 - mmengine - INFO - Epoch(val) [20][2920/4728] eta: 0:11:52 time: 0.3942 data_time: 0.0026 memory: 2 2022/09/08 03:34:44 - mmengine - INFO - Epoch(val) [20][2940/4728] eta: 0:12:16 time: 0.4118 data_time: 0.0024 memory: 2 2022/09/08 03:34:53 - mmengine - INFO - Epoch(val) [20][2960/4728] eta: 0:13:01 time: 0.4423 data_time: 0.0024 memory: 2 2022/09/08 03:35:01 - mmengine - INFO - Epoch(val) [20][2980/4728] eta: 0:12:22 time: 0.4250 data_time: 0.0024 memory: 2 2022/09/08 03:35:10 - mmengine - INFO - Epoch(val) [20][3000/4728] eta: 0:12:04 time: 0.4194 data_time: 0.0025 memory: 2 2022/09/08 03:35:23 - mmengine - INFO - Epoch(val) [20][3020/4728] eta: 0:19:17 time: 0.6778 data_time: 0.0028 memory: 2 2022/09/08 03:35:40 - mmengine - INFO - Epoch(val) [20][3040/4728] eta: 0:23:45 time: 0.8448 data_time: 0.0030 memory: 2 2022/09/08 03:35:54 - mmengine - INFO - Epoch(val) [20][3060/4728] eta: 0:19:33 time: 0.7033 data_time: 0.0030 memory: 2 2022/09/08 03:36:08 - mmengine - INFO - Epoch(val) [20][3080/4728] eta: 0:19:17 time: 0.7024 data_time: 0.0030 memory: 2 2022/09/08 03:36:17 - mmengine - INFO - Epoch(val) [20][3100/4728] eta: 0:12:17 time: 0.4528 data_time: 0.0026 memory: 2 2022/09/08 03:36:25 - mmengine - INFO - Epoch(val) [20][3120/4728] eta: 0:10:50 time: 0.4048 data_time: 0.0025 memory: 2 2022/09/08 03:36:34 - mmengine - INFO - Epoch(val) [20][3140/4728] eta: 0:10:56 time: 0.4135 data_time: 0.0024 memory: 2 2022/09/08 03:36:42 - mmengine - INFO - Epoch(val) [20][3160/4728] eta: 0:11:18 time: 0.4325 data_time: 0.0024 memory: 2 2022/09/08 03:36:52 - mmengine - INFO - Epoch(val) [20][3180/4728] eta: 0:12:42 time: 0.4926 data_time: 0.0025 memory: 2 2022/09/08 03:37:01 - mmengine - INFO - Epoch(val) [20][3200/4728] eta: 0:11:39 time: 0.4580 data_time: 0.0025 memory: 2 2022/09/08 03:37:11 - mmengine - INFO - Epoch(val) [20][3220/4728] eta: 0:12:40 time: 0.5042 data_time: 0.0026 memory: 2 2022/09/08 03:37:19 - mmengine - INFO - Epoch(val) [20][3240/4728] eta: 0:10:02 time: 0.4048 data_time: 0.0024 memory: 2 2022/09/08 03:37:28 - mmengine - INFO - Epoch(val) [20][3260/4728] eta: 0:10:20 time: 0.4224 data_time: 0.0024 memory: 2 2022/09/08 03:37:37 - mmengine - INFO - Epoch(val) [20][3280/4728] eta: 0:10:29 time: 0.4350 data_time: 0.0024 memory: 2 2022/09/08 03:37:45 - mmengine - INFO - Epoch(val) [20][3300/4728] eta: 0:10:10 time: 0.4272 data_time: 0.0025 memory: 2 2022/09/08 03:37:54 - mmengine - INFO - Epoch(val) [20][3320/4728] eta: 0:09:54 time: 0.4220 data_time: 0.0024 memory: 2 2022/09/08 03:38:02 - mmengine - INFO - Epoch(val) [20][3340/4728] eta: 0:10:16 time: 0.4442 data_time: 0.0025 memory: 2 2022/09/08 03:38:11 - mmengine - INFO - Epoch(val) [20][3360/4728] eta: 0:09:54 time: 0.4349 data_time: 0.0025 memory: 2 2022/09/08 03:38:19 - mmengine - INFO - Epoch(val) [20][3380/4728] eta: 0:09:08 time: 0.4065 data_time: 0.0026 memory: 2 2022/09/08 03:38:27 - mmengine - INFO - Epoch(val) [20][3400/4728] eta: 0:09:01 time: 0.4076 data_time: 0.0026 memory: 2 2022/09/08 03:38:36 - mmengine - INFO - Epoch(val) [20][3420/4728] eta: 0:09:35 time: 0.4400 data_time: 0.0027 memory: 2 2022/09/08 03:38:44 - mmengine - INFO - Epoch(val) [20][3440/4728] eta: 0:08:18 time: 0.3869 data_time: 0.0027 memory: 2 2022/09/08 03:38:52 - mmengine - INFO - Epoch(val) [20][3460/4728] eta: 0:08:11 time: 0.3876 data_time: 0.0026 memory: 2 2022/09/08 03:39:01 - mmengine - INFO - Epoch(val) [20][3480/4728] eta: 0:09:15 time: 0.4455 data_time: 0.0026 memory: 2 2022/09/08 03:39:09 - mmengine - INFO - Epoch(val) [20][3500/4728] eta: 0:08:13 time: 0.4020 data_time: 0.0027 memory: 2 2022/09/08 03:39:16 - mmengine - INFO - Epoch(val) [20][3520/4728] eta: 0:07:40 time: 0.3810 data_time: 0.0026 memory: 2 2022/09/08 03:39:24 - mmengine - INFO - Epoch(val) [20][3540/4728] eta: 0:07:56 time: 0.4009 data_time: 0.0026 memory: 2 2022/09/08 03:39:33 - mmengine - INFO - Epoch(val) [20][3560/4728] eta: 0:08:15 time: 0.4239 data_time: 0.0026 memory: 2 2022/09/08 03:39:41 - mmengine - INFO - Epoch(val) [20][3580/4728] eta: 0:08:13 time: 0.4295 data_time: 0.0028 memory: 2 2022/09/08 03:39:50 - mmengine - INFO - Epoch(val) [20][3600/4728] eta: 0:08:06 time: 0.4317 data_time: 0.0029 memory: 2 2022/09/08 03:39:59 - mmengine - INFO - Epoch(val) [20][3620/4728] eta: 0:07:57 time: 0.4313 data_time: 0.0025 memory: 2 2022/09/08 03:40:07 - mmengine - INFO - Epoch(val) [20][3640/4728] eta: 0:07:49 time: 0.4314 data_time: 0.0024 memory: 2 2022/09/08 03:40:16 - mmengine - INFO - Epoch(val) [20][3660/4728] eta: 0:07:24 time: 0.4162 data_time: 0.0024 memory: 2 2022/09/08 03:40:23 - mmengine - INFO - Epoch(val) [20][3680/4728] eta: 0:06:03 time: 0.3469 data_time: 0.0024 memory: 2 2022/09/08 03:40:31 - mmengine - INFO - Epoch(val) [20][3700/4728] eta: 0:07:02 time: 0.4107 data_time: 0.0024 memory: 2 2022/09/08 03:40:39 - mmengine - INFO - Epoch(val) [20][3720/4728] eta: 0:06:35 time: 0.3925 data_time: 0.0024 memory: 2 2022/09/08 03:40:47 - mmengine - INFO - Epoch(val) [20][3740/4728] eta: 0:06:38 time: 0.4038 data_time: 0.0024 memory: 2 2022/09/08 03:40:55 - mmengine - INFO - Epoch(val) [20][3760/4728] eta: 0:06:31 time: 0.4047 data_time: 0.0024 memory: 2 2022/09/08 03:41:04 - mmengine - INFO - Epoch(val) [20][3780/4728] eta: 0:07:23 time: 0.4677 data_time: 0.0024 memory: 2 2022/09/08 03:41:13 - mmengine - INFO - Epoch(val) [20][3800/4728] eta: 0:06:58 time: 0.4511 data_time: 0.0025 memory: 2 2022/09/08 03:41:27 - mmengine - INFO - Epoch(val) [20][3820/4728] eta: 0:10:31 time: 0.6952 data_time: 0.0030 memory: 2 2022/09/08 03:41:41 - mmengine - INFO - Epoch(val) [20][3840/4728] eta: 0:10:18 time: 0.6961 data_time: 0.0030 memory: 2 2022/09/08 03:41:55 - mmengine - INFO - Epoch(val) [20][3860/4728] eta: 0:09:52 time: 0.6832 data_time: 0.0030 memory: 2 2022/09/08 03:42:08 - mmengine - INFO - Epoch(val) [20][3880/4728] eta: 0:09:26 time: 0.6678 data_time: 0.0030 memory: 2 2022/09/08 03:42:22 - mmengine - INFO - Epoch(val) [20][3900/4728] eta: 0:09:56 time: 0.7203 data_time: 0.0030 memory: 2 2022/09/08 03:42:31 - mmengine - INFO - Epoch(val) [20][3920/4728] eta: 0:06:04 time: 0.4507 data_time: 0.0026 memory: 2 2022/09/08 03:42:40 - mmengine - INFO - Epoch(val) [20][3940/4728] eta: 0:05:39 time: 0.4307 data_time: 0.0025 memory: 2 2022/09/08 03:42:49 - mmengine - INFO - Epoch(val) [20][3960/4728] eta: 0:05:56 time: 0.4648 data_time: 0.0025 memory: 2 2022/09/08 03:42:58 - mmengine - INFO - Epoch(val) [20][3980/4728] eta: 0:05:06 time: 0.4092 data_time: 0.0025 memory: 2 2022/09/08 03:43:06 - mmengine - INFO - Epoch(val) [20][4000/4728] eta: 0:05:04 time: 0.4189 data_time: 0.0025 memory: 2 2022/09/08 03:43:15 - mmengine - INFO - Epoch(val) [20][4020/4728] eta: 0:05:16 time: 0.4469 data_time: 0.0025 memory: 2 2022/09/08 03:43:24 - mmengine - INFO - Epoch(val) [20][4040/4728] eta: 0:04:57 time: 0.4329 data_time: 0.0025 memory: 2 2022/09/08 03:43:32 - mmengine - INFO - Epoch(val) [20][4060/4728] eta: 0:04:43 time: 0.4250 data_time: 0.0025 memory: 2 2022/09/08 03:43:41 - mmengine - INFO - Epoch(val) [20][4080/4728] eta: 0:04:58 time: 0.4603 data_time: 0.0025 memory: 2 2022/09/08 03:43:50 - mmengine - INFO - Epoch(val) [20][4100/4728] eta: 0:04:33 time: 0.4354 data_time: 0.0025 memory: 2 2022/09/08 03:43:59 - mmengine - INFO - Epoch(val) [20][4120/4728] eta: 0:04:22 time: 0.4316 data_time: 0.0025 memory: 2 2022/09/08 03:44:07 - mmengine - INFO - Epoch(val) [20][4140/4728] eta: 0:04:07 time: 0.4208 data_time: 0.0025 memory: 2 2022/09/08 03:44:15 - mmengine - INFO - Epoch(val) [20][4160/4728] eta: 0:03:35 time: 0.3797 data_time: 0.0025 memory: 2 2022/09/08 03:44:24 - mmengine - INFO - Epoch(val) [20][4180/4728] eta: 0:04:09 time: 0.4557 data_time: 0.0025 memory: 2 2022/09/08 03:44:32 - mmengine - INFO - Epoch(val) [20][4200/4728] eta: 0:03:36 time: 0.4099 data_time: 0.0025 memory: 2 2022/09/08 03:44:40 - mmengine - INFO - Epoch(val) [20][4220/4728] eta: 0:03:37 time: 0.4287 data_time: 0.0024 memory: 2 2022/09/08 03:44:49 - mmengine - INFO - Epoch(val) [20][4240/4728] eta: 0:03:24 time: 0.4192 data_time: 0.0024 memory: 2 2022/09/08 03:44:57 - mmengine - INFO - Epoch(val) [20][4260/4728] eta: 0:03:11 time: 0.4098 data_time: 0.0024 memory: 2 2022/09/08 03:45:05 - mmengine - INFO - Epoch(val) [20][4280/4728] eta: 0:03:02 time: 0.4076 data_time: 0.0024 memory: 2 2022/09/08 03:45:16 - mmengine - INFO - Epoch(val) [20][4300/4728] eta: 0:03:41 time: 0.5181 data_time: 0.0026 memory: 2 2022/09/08 03:45:25 - mmengine - INFO - Epoch(val) [20][4320/4728] eta: 0:03:08 time: 0.4630 data_time: 0.0026 memory: 2 2022/09/08 03:45:33 - mmengine - INFO - Epoch(val) [20][4340/4728] eta: 0:02:37 time: 0.4067 data_time: 0.0025 memory: 2 2022/09/08 03:45:42 - mmengine - INFO - Epoch(val) [20][4360/4728] eta: 0:02:47 time: 0.4554 data_time: 0.0026 memory: 2 2022/09/08 03:45:50 - mmengine - INFO - Epoch(val) [20][4380/4728] eta: 0:02:19 time: 0.4020 data_time: 0.0025 memory: 2 2022/09/08 03:45:58 - mmengine - INFO - Epoch(val) [20][4400/4728] eta: 0:02:14 time: 0.4104 data_time: 0.0025 memory: 2 2022/09/08 03:46:08 - mmengine - INFO - Epoch(val) [20][4420/4728] eta: 0:02:23 time: 0.4665 data_time: 0.0025 memory: 2 2022/09/08 03:46:17 - mmengine - INFO - Epoch(val) [20][4440/4728] eta: 0:02:09 time: 0.4501 data_time: 0.0026 memory: 2 2022/09/08 03:46:26 - mmengine - INFO - Epoch(val) [20][4460/4728] eta: 0:02:07 time: 0.4757 data_time: 0.0025 memory: 2 2022/09/08 03:46:41 - mmengine - INFO - Epoch(val) [20][4480/4728] eta: 0:03:09 time: 0.7635 data_time: 0.0031 memory: 2 2022/09/08 03:46:56 - mmengine - INFO - Epoch(val) [20][4500/4728] eta: 0:02:45 time: 0.7241 data_time: 0.0030 memory: 2 2022/09/08 03:47:05 - mmengine - INFO - Epoch(val) [20][4520/4728] eta: 0:01:32 time: 0.4441 data_time: 0.0026 memory: 2 2022/09/08 03:47:18 - mmengine - INFO - Epoch(val) [20][4540/4728] eta: 0:02:03 time: 0.6595 data_time: 0.0029 memory: 2 2022/09/08 03:47:31 - mmengine - INFO - Epoch(val) [20][4560/4728] eta: 0:01:52 time: 0.6694 data_time: 0.0029 memory: 2 2022/09/08 03:47:40 - mmengine - INFO - Epoch(val) [20][4580/4728] eta: 0:01:06 time: 0.4512 data_time: 0.0025 memory: 2 2022/09/08 03:47:48 - mmengine - INFO - Epoch(val) [20][4600/4728] eta: 0:00:48 time: 0.3754 data_time: 0.0025 memory: 2 2022/09/08 03:47:57 - mmengine - INFO - Epoch(val) [20][4620/4728] eta: 0:00:47 time: 0.4432 data_time: 0.0026 memory: 2 2022/09/08 03:48:05 - mmengine - INFO - Epoch(val) [20][4640/4728] eta: 0:00:34 time: 0.3918 data_time: 0.0026 memory: 2 2022/09/08 03:48:13 - mmengine - INFO - Epoch(val) [20][4660/4728] eta: 0:00:29 time: 0.4327 data_time: 0.0026 memory: 2 2022/09/08 03:48:21 - mmengine - INFO - Epoch(val) [20][4680/4728] eta: 0:00:19 time: 0.3976 data_time: 0.0026 memory: 2 2022/09/08 03:48:30 - mmengine - INFO - Epoch(val) [20][4700/4728] eta: 0:00:12 time: 0.4442 data_time: 0.0026 memory: 2 2022/09/08 03:48:39 - mmengine - INFO - Epoch(val) [20][4720/4728] eta: 0:00:03 time: 0.4260 data_time: 0.0025 memory: 2 2022/09/08 03:49:26 - mmengine - INFO - Epoch(val) [20][4728/4728] auc: 66.2614 AR@1: 0.3271 AR@5: 0.4843 AR@10: 0.5528 AR@100: 0.7427 2022/09/08 03:49:29 - mmengine - INFO - The best checkpoint with 66.2614 auc at 20 epoch is saved to best_auc_epoch_20.pth.