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: 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
/usr/lib/x86_64-linux-gnu/libibverbs.so.1


loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1
loaded library: loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1/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 .................................. True
  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: 3.23850 s *****
[rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86741, top1: 0.00066, throughput: 262.68 | 2022-05-06 21:49:43.743
[rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86719, top1: 0.00078, throughput: 262.69 | 2022-05-06 21:49:43.743
[rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86737, top1: 0.00074, throughput: 262.68 | 2022-05-06 21:49:43.743
[rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86736, top1: 0.00078, throughput: 262.67 | 2022-05-06 21:49:43.746
[rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86744, top1: 0.00047, throughput: 262.68 | 2022-05-06 21:49:43.744
[rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86722, top1: 0.00070, throughput: 262.68 | 2022-05-06 21:49:43.744
[rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86717, top1: 0.00090, throughput: 262.69 | 2022-05-06 21:49:43.744
[rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86746, top1: 0.00059, throughput: 262.69 | 2022-05-06 21:49:43.743
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]
2022/05/06 21:49:44.017, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7731 MiB, 24779 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]
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]
2022/05/06 21:49:44.023, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7766 MiB, 24744 MiB
2022/05/06 21:49:44.023, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7731 MiB, 24779 MiB
2022/05/06 21:49:44.028, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7731 MiB, 24779 MiB
2022/05/06 21:49:44.029, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7731 MiB, 24779 MiB
2022/05/06 21:49:44.029, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7731 MiB, 24779 MiB
2022/05/06 21:49:44.029, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7731 MiB, 24779 MiB
2022/05/06 21:49:44.029, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7731 MiB, 24779 MiB
2022/05/06 21:49:44.029, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7731 MiB, 24779 MiB
2022/05/06 21:49:44.033, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7928 MiB, 24582 MiB
2022/05/06 21:49:44.033, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7766 MiB, 24744 MiB
2022/05/06 21:49:44.039, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7766 MiB, 24744 MiB
2022/05/06 21:49:44.039, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7766 MiB, 24744 MiB
2022/05/06 21:49:44.039, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7766 MiB, 24744 MiB
2022/05/06 21:49:44.040, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7766 MiB, 24744 MiB
2022/05/06 21:49:44.040, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7766 MiB, 24744 MiB
2022/05/06 21:49:44.040, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7766 MiB, 24744 MiB
2022/05/06 21:49:44.052, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7862 MiB, 24648 MiB
2022/05/06 21:49:44.052, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7928 MiB, 24582 MiB
2022/05/06 21:49:44.062, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7928 MiB, 24582 MiB
2022/05/06 21:49:44.063, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7928 MiB, 24582 MiB
2022/05/06 21:49:44.063, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7928 MiB, 24582 MiB
2022/05/06 21:49:44.063, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7928 MiB, 24582 MiB
2022/05/06 21:49:44.064, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7928 MiB, 24582 MiB
2022/05/06 21:49:44.064, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7928 MiB, 24582 MiB
2022/05/06 21:49:44.067, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7852 MiB, 24658 MiB
2022/05/06 21:49:44.067, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7862 MiB, 24648 MiB
2022/05/06 21:49:44.073, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7862 MiB, 24648 MiB
2022/05/06 21:49:44.073, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7862 MiB, 24648 MiB
2022/05/06 21:49:44.074, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7862 MiB, 24648 MiB
2022/05/06 21:49:44.074, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7862 MiB, 24648 MiB
2022/05/06 21:49:44.074, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7862 MiB, 24648 MiB
2022/05/06 21:49:44.074, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7862 MiB, 24648 MiB
2022/05/06 21:49:44.076, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7682 MiB, 24828 MiB
2022/05/06 21:49:44.076, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7852 MiB, 24658 MiB
2022/05/06 21:49:44.082, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7852 MiB, 24658 MiB
2022/05/06 21:49:44.082, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7852 MiB, 24658 MiB
2022/05/06 21:49:44.082, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7852 MiB, 24658 MiB
2022/05/06 21:49:44.083, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7852 MiB, 24658 MiB
2022/05/06 21:49:44.083, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7852 MiB, 24658 MiB
2022/05/06 21:49:44.083, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7852 MiB, 24658 MiB
2022/05/06 21:49:44.087, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7628 MiB, 24882 MiB
2022/05/06 21:49:44.087, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7682 MiB, 24828 MiB
2022/05/06 21:49:44.093, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7682 MiB, 24828 MiB
2022/05/06 21:49:44.093, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7682 MiB, 24828 MiB
2022/05/06 21:49:44.094, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7682 MiB, 24828 MiB
2022/05/06 21:49:44.094, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7682 MiB, 24828 MiB
2022/05/06 21:49:44.094, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7682 MiB, 24828 MiB
2022/05/06 21:49:44.095, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7682 MiB, 24828 MiB
2022/05/06 21:49:44.096, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7788 MiB, 24722 MiB
2022/05/06 21:49:44.096, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7628 MiB, 24882 MiB
2022/05/06 21:49:44.102, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7628 MiB, 24882 MiB
2022/05/06 21:49:44.102, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7628 MiB, 24882 MiB
2022/05/06 21:49:44.103, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7628 MiB, 24882 MiB
2022/05/06 21:49:44.103, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7628 MiB, 24882 MiB
2022/05/06 21:49:44.103, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7628 MiB, 24882 MiB
2022/05/06 21:49:44.104, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7628 MiB, 24882 MiB
2022/05/06 21:49:44.107, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7788 MiB, 24722 MiB
2022/05/06 21:49:44.113, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7788 MiB, 24722 MiB
2022/05/06 21:49:44.114, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7788 MiB, 24722 MiB
2022/05/06 21:49:44.114, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7788 MiB, 24722 MiB
2022/05/06 21:49:44.114, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7788 MiB, 24722 MiB
2022/05/06 21:49:44.114, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7788 MiB, 24722 MiB
2022/05/06 21:49:44.115, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7788 MiB, 24722 MiB
[rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86736, top1: 0.00094, throughput: 372.23 | 2022-05-06 21:50:52.518
[rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86714, top1: 0.00094, throughput: 372.23 | 2022-05-06 21:50:52.521
[rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86723, top1: 0.00090, throughput: 372.22 | 2022-05-06 21:50:52.519
[rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86718, top1: 0.00094, throughput: 372.22 | 2022-05-06 21:50:52.520
[rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86743, top1: 0.00059, throughput: 372.22 | 2022-05-06 21:50:52.521
[rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86720, top1: 0.00074, throughput: 372.21 | 2022-05-06 21:50:52.522
[rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86730, top1: 0.00098, throughput: 372.22 | 2022-05-06 21:50:52.520
[rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86751, top1: 0.00078, throughput: 372.22 | 2022-05-06 21:50:52.520
[rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86725, top1: 0.00078, throughput: 374.06 | 2022-05-06 21:52:00.957
[rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86724, top1: 0.00078, throughput: 374.07 | 2022-05-06 21:52:00.957
[rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86753, top1: 0.00078, throughput: 374.06 | 2022-05-06 21:52:00.957
[rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86728, top1: 0.00066, throughput: 374.06 | 2022-05-06 21:52:00.958
[rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86746, top1: 0.00098, throughput: 374.06 | 2022-05-06 21:52:00.959
[rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86748, top1: 0.00055, throughput: 374.06 | 2022-05-06 21:52:00.957
[rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86748, top1: 0.00074, throughput: 374.07 | 2022-05-06 21:52:00.958
[rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86743, top1: 0.00070, throughput: 374.05 | 2022-05-06 21:52:00.960