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: loaded library: loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1/usr/lib/x86_64-linux-gnu/libibverbs.so.1/usr/lib/x86_64-linux-gnu/libibverbs.so.1/usr/lib/x86_64-linux-gnu/libibverbs.so.1 loaded library: loaded library: loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1/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 ------------------------ 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: 3.20522 s ***** [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86754, top1: 0.00102, throughput: 274.41 | 2022-05-26 18:08:48.505 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86719, top1: 0.00070, throughput: 274.42 | 2022-05-26 18:08:48.505 [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86756, top1: 0.00137, throughput: 274.39 | 2022-05-26 18:08:48.509 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86725, top1: 0.00078, throughput: 274.40 | 2022-05-26 18:08:48.507 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86730, top1: 0.00117, throughput: 274.41 | 2022-05-26 18:08:48.507 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86759, top1: 0.00082, throughput: 274.40 | 2022-05-26 18:08:48.508 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86790, top1: 0.00109, throughput: 274.39 | 2022-05-26 18:08:48.507 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86749, top1: 0.00082, throughput: 274.39 | 2022-05-26 18:08:48.507 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] 2022/05/26 18:08:48.833, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8444 MiB, 24066 MiB 2022/05/26 18:08:48.834, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8444 MiB, 24066 MiB 2022/05/26 18:08:48.848, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8444 MiB, 24066 MiB 2022/05/26 18:08:48.854, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 8504 MiB, 24006 MiB 2022/05/26 18:08:48.855, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 8504 MiB, 24006 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] timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/26 18:08:48.857, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 8504 MiB, 24006 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/26 18:08:48.861, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8630 MiB, 23880 MiB 2022/05/26 18:08:48.861, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8630 MiB, 23880 MiB 2022/05/26 18:08:48.863, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8444 MiB, 24066 MiB 2022/05/26 18:08:48.865, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8630 MiB, 23880 MiB 2022/05/26 18:08:48.864, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8444 MiB, 24066 MiB 2022/05/26 18:08:48.864, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8444 MiB, 24066 MiB 2022/05/26 18:08:48.864, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8444 MiB, 24066 MiB 2022/05/26 18:08:48.865, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8444 MiB, 24066 MiB 2022/05/26 18:08:48.869, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8608 MiB, 23902 MiB 2022/05/26 18:08:48.870, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8608 MiB, 23902 MiB 2022/05/26 18:08:48.872, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8504 MiB, 24006 MiB 2022/05/26 18:08:48.873, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8608 MiB, 23902 MiB 2022/05/26 18:08:48.874, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8504 MiB, 24006 MiB 2022/05/26 18:08:48.874, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8504 MiB, 24006 MiB 2022/05/26 18:08:48.874, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8504 MiB, 24006 MiB 2022/05/26 18:08:48.875, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8504 MiB, 24006 MiB 2022/05/26 18:08:48.878, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8548 MiB, 23962 MiB 2022/05/26 18:08:48.880, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8548 MiB, 23962 MiB 2022/05/26 18:08:48.881, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8630 MiB, 23880 MiB 2022/05/26 18:08:48.884, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8548 MiB, 23962 MiB 2022/05/26 18:08:48.884, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8630 MiB, 23880 MiB 2022/05/26 18:08:48.884, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8630 MiB, 23880 MiB 2022/05/26 18:08:48.885, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8630 MiB, 23880 MiB 2022/05/26 18:08:48.886, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8630 MiB, 23880 MiB 2022/05/26 18:08:48.889, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8510 MiB, 24000 MiB 2022/05/26 18:08:48.890, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8510 MiB, 24000 MiB 2022/05/26 18:08:48.892, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8608 MiB, 23902 MiB 2022/05/26 18:08:48.893, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8510 MiB, 24000 MiB 2022/05/26 18:08:48.893, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8608 MiB, 23902 MiB 2022/05/26 18:08:48.893, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8608 MiB, 23902 MiB 2022/05/26 18:08:48.894, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8608 MiB, 23902 MiB 2022/05/26 18:08:48.894, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8608 MiB, 23902 MiB 2022/05/26 18:08:48.898, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8354 MiB, 24156 MiB 2022/05/26 18:08:48.899, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8354 MiB, 24156 MiB 2022/05/26 18:08:48.901, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8548 MiB, 23962 MiB 2022/05/26 18:08:48.902, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8354 MiB, 24156 MiB 2022/05/26 18:08:48.902, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8548 MiB, 23962 MiB 2022/05/26 18:08:48.902, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8548 MiB, 23962 MiB 2022/05/26 18:08:48.902, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8548 MiB, 23962 MiB 2022/05/26 18:08:48.903, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8548 MiB, 23962 MiB 2022/05/26 18:08:48.906, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8466 MiB, 24044 MiB 2022/05/26 18:08:48.908, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8466 MiB, 24044 MiB 2022/05/26 18:08:48.909, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8510 MiB, 24000 MiB 2022/05/26 18:08:48.910, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8466 MiB, 24044 MiB 2022/05/26 18:08:48.910, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8510 MiB, 24000 MiB 2022/05/26 18:08:48.911, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8510 MiB, 24000 MiB 2022/05/26 18:08:48.911, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8510 MiB, 24000 MiB 2022/05/26 18:08:48.912, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8510 MiB, 24000 MiB 2022/05/26 18:08:48.918, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8354 MiB, 24156 MiB 2022/05/26 18:08:48.919, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8354 MiB, 24156 MiB 2022/05/26 18:08:48.919, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8354 MiB, 24156 MiB 2022/05/26 18:08:48.920, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8354 MiB, 24156 MiB 2022/05/26 18:08:48.920, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8354 MiB, 24156 MiB 2022/05/26 18:08:48.926, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8466 MiB, 24044 MiB 2022/05/26 18:08:48.927, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8466 MiB, 24044 MiB 2022/05/26 18:08:48.927, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8466 MiB, 24044 MiB 2022/05/26 18:08:48.927, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8466 MiB, 24044 MiB 2022/05/26 18:08:48.928, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8466 MiB, 24044 MiB [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86741, top1: 0.00105, throughput: 380.21 | 2022-05-26 18:09:55.837 [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86734, top1: 0.00082, throughput: 380.22 | 2022-05-26 18:09:55.837 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86749, top1: 0.00145, throughput: 380.21 | 2022-05-26 18:09:55.836 [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86758, top1: 0.00098, throughput: 380.22 | 2022-05-26 18:09:55.836 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86758, top1: 0.00059, throughput: 380.20 | 2022-05-26 18:09:55.837 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86757, top1: 0.00086, throughput: 380.22 | 2022-05-26 18:09:55.839 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86734, top1: 0.00102, throughput: 380.21 | 2022-05-26 18:09:55.839 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86773, top1: 0.00121, throughput: 380.21 | 2022-05-26 18:09:55.838 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86726, top1: 0.00113, throughput: 379.61 | 2022-05-26 18:11:03.275 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86737, top1: 0.00094, throughput: 379.61 | 2022-05-26 18:11:03.274 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86742, top1: 0.00105, throughput: 379.61 | 2022-05-26 18:11:03.274 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86731, top1: 0.00109, throughput: 379.62 | 2022-05-26 18:11:03.275 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86779, top1: 0.00074, throughput: 379.61 | 2022-05-26 18:11:03.275 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86731, top1: 0.00094, throughput: 379.62 | 2022-05-26 18:11:03.276 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86751, top1: 0.00133, throughput: 379.61[rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86761, top1: 0.00117, throughput: 379.60 | 2022-05-26 18:11:03.276| 2022-05-26 18:11:03.276