loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 ***************************************** Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. ***************************************** loaded library: loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1/usr/lib/x86_64-linux-gnu/libibverbs.so.1 loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 ------------------------ arguments ------------------------ batches_per_epoch ............................... 625 channel_last .................................... False ddp ............................................. False exit_num ........................................ 300 fuse_bn_add_relu ................................ True fuse_bn_relu .................................... True gpu_stat_file ................................... None grad_clipping ................................... 0.0 graph ........................................... True label_smoothing ................................. 0.1 learning_rate ................................... 2.048 legacy_init ..................................... False load_path ....................................... None lr_decay_type ................................... cosine metric_local .................................... True metric_train_acc ................................ True momentum ........................................ 0.875 nccl_fusion_max_ops ............................. 24 nccl_fusion_threshold_mb ........................ 16 num_classes ..................................... 1000 num_devices_per_node ............................ 8 num_epochs ...................................... 1 num_nodes ....................................... 1 ofrecord_part_num ............................... 256 ofrecord_path ................................... /dataset/79846248 print_interval .................................. 100 print_timestamp ................................. False samples_per_epoch ............................... 1281167 save_init ....................................... False save_path ....................................... None scale_grad ...................................... True skip_eval ....................................... True synthetic_data .................................. False total_batches ................................... -1 train_batch_size ................................ 256 train_global_batch_size ......................... 2048 use_fp16 ........................................ False use_gpu_decode .................................. False val_batch_size .................................. 50 val_batches_per_epoch ........................... 125 val_global_batch_size ........................... 400 val_samples_per_epoch ........................... 50000 warmup_epochs ................................... 5 weight_decay .................................... 3.0517578125e-05 zero_init_residual .............................. True -------------------- end of arguments --------------------- ***** Model Init ***** ***** Model Init Finish, time escapled: 2.89714 s ***** [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86779, top1: 0.00109, throughput: 267.22 | 2022-04-12 16:45:55.488 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86799, top1: 0.00082, throughput: 267.23 | 2022-04-12 16:45:55.486 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86786, top1: 0.00086, throughput: 267.24 | 2022-04-12 16:45:55.487 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86784, top1: 0.00074, throughput: 267.24 | 2022-04-12 16:45:55.487 [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86781, top1: 0.00062, throughput: 267.23 | 2022-04-12 16:45:55.490 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86798, top1: 0.00066, throughput: 267.23 | 2022-04-12 16:45:55.489 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86763, top1: 0.00074, throughput: 267.24 | 2022-04-12 16:45:55.488 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86795, top1: 0.00066, throughput: 267.23 | 2022-04-12 16:45:55.488 timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/12 16:45:55.819, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8580 MiB, 23930 MiB 2022/04/12 16:45:55.820, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8580 MiB, 23930 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/12 16:45:55.828, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8526 MiB, 23984 MiB 2022/04/12 16:45:55.829, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8526 MiB, 23984 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/12 16:45:55.829, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8580 MiB, 23930 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/12 16:45:55.833, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8580 MiB, 23930 MiB 2022/04/12 16:45:55.834, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8686 MiB, 23824 MiB 2022/04/12 16:45:55.835, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8686 MiB, 23824 MiB 2022/04/12 16:45:55.835, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8580 MiB, 23930 MiB 2022/04/12 16:45:55.838, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8526 MiB, 23984 MiB 2022/04/12 16:45:55.839, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8580 MiB, 23930 MiB 2022/04/12 16:45:55.839, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8580 MiB, 23930 MiB 2022/04/12 16:45:55.842, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8580 MiB, 23930 MiB 2022/04/12 16:45:55.844, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8526 MiB, 23984 MiB 2022/04/12 16:45:55.844, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8628 MiB, 23882 MiB 2022/04/12 16:45:55.845, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8628 MiB, 23882 MiB 2022/04/12 16:45:55.847, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8526 MiB, 23984 MiB 2022/04/12 16:45:55.847, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8686 MiB, 23824 MiB 2022/04/12 16:45:55.849, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8526 MiB, 23984 MiB 2022/04/12 16:45:55.849, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8526 MiB, 23984 MiB 2022/04/12 16:45:55.853, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8526 MiB, 23984 MiB 2022/04/12 16:45:55.854, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8686 MiB, 23824 MiB 2022/04/12 16:45:55.854, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 8648 MiB, 23862 MiB 2022/04/12 16:45:55.858, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 8648 MiB, 23862 MiB 2022/04/12 16:45:55.860, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8686 MiB, 23824 MiB 2022/04/12 16:45:55.860, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8628 MiB, 23882 MiB 2022/04/12 16:45:55.862, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8686 MiB, 23824 MiB 2022/04/12 16:45:55.862, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8686 MiB, 23824 MiB 2022/04/12 16:45:55.865, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8686 MiB, 23824 MiB 2022/04/12 16:45:55.866, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8628 MiB, 23882 MiB 2022/04/12 16:45:55.866, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/04/12 16:45:55.867, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/04/12 16:45:55.869, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8628 MiB, 23882 MiB 2022/04/12 16:45:55.869, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 8648 MiB, 23862 MiB 2022/04/12 16:45:55.871, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8628 MiB, 23882 MiB 2022/04/12 16:45:55.871, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8628 MiB, 23882 MiB 2022/04/12 16:45:55.874, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8628 MiB, 23882 MiB 2022/04/12 16:45:55.875, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 8648 MiB, 23862 MiB 2022/04/12 16:45:55.875, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8396 MiB, 24114 MiB 2022/04/12 16:45:55.877, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8396 MiB, 24114 MiB 2022/04/12 16:45:55.878, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 8648 MiB, 23862 MiB 2022/04/12 16:45:55.878, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/04/12 16:45:55.892, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 8648 MiB, 23862 MiB 2022/04/12 16:45:55.892, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 8648 MiB, 23862 MiB 2022/04/12 16:45:55.895, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 8648 MiB, 23862 MiB 2022/04/12 16:45:55.896, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/04/12 16:45:55.896, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8594 MiB, 23916 MiB 2022/04/12 16:45:55.897, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8594 MiB, 23916 MiB 2022/04/12 16:45:55.899, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/04/12 16:45:55.899, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8396 MiB, 24114 MiB 2022/04/12 16:45:55.901, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/04/12 16:45:55.901, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/04/12 16:45:55.904, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/04/12 16:45:55.905, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8396 MiB, 24114 MiB 2022/04/12 16:45:55.908, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8396 MiB, 24114 MiB 2022/04/12 16:45:55.909, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8594 MiB, 23916 MiB 2022/04/12 16:45:55.910, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8396 MiB, 24114 MiB 2022/04/12 16:45:55.910, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8396 MiB, 24114 MiB 2022/04/12 16:45:55.913, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8396 MiB, 24114 MiB 2022/04/12 16:45:55.914, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8594 MiB, 23916 MiB 2022/04/12 16:45:55.916, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8594 MiB, 23916 MiB 2022/04/12 16:45:55.918, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8594 MiB, 23916 MiB 2022/04/12 16:45:55.919, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8594 MiB, 23916 MiB 2022/04/12 16:45:55.921, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8594 MiB, 23916 MiB [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86798, top1: 0.00059, throughput: 379.54 | 2022-04-12 16:47:02.936 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86774, top1: 0.00066, throughput: 379.55 | 2022-04-12 16:47:02.938 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86780, top1: 0.00086, throughput: 379.55 | 2022-04-12 16:47:02.938 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86789, top1: 0.00082, throughput: 379.54 | 2022-04-12 16:47:02.937 [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86774, top1: 0.00070, throughput: 379.54 | 2022-04-12 16:47:02.937 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86765, top1: 0.00094, throughput: 379.53 | 2022-04-12 16:47:02.938 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86779, top1: 0.00047, throughput: 379.54 | 2022-04-12 16:47:02.940[rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86795, top1: 0.00062, throughput: 379.54 | 2022-04-12 16:47:02.939 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86756, top1: 0.00109, throughput: 380.14 | 2022-04-12 16:48:10.279 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86811, top1: 0.00082, throughput: 380.15 | 2022-04-12 16:48:10.280 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86792, top1: 0.00059, throughput: 380.15 | 2022-04-12 16:48:10.281 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86799, top1: 0.00098, throughput: 380.14 | 2022-04-12 16:48:10.280 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86808, top1: 0.00090, throughput: 380.15 | 2022-04-12 16:48:10.280 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86792, top1: 0.00023, throughput: 380.15 | 2022-04-12 16:48:10.282 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86758, top1: 0.00078, throughput: 380.15 | 2022-04-12 16:48:10.280 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86803, top1: 0.00098, throughput: 380.15 | 2022-04-12 16:48:10.280