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: /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 .................................. 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: 3.07814 s *****
[rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86720, top1: 0.00098, throughput: 262.83 | 2022-04-27 10:42:01.858
[rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86747, top1: 0.00055, throughput: 262.82 | 2022-04-27 10:42:01.859
[rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86744, top1: 0.00066, throughput: 262.85 | 2022-04-27 10:42:01.859
[rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86737, top1: 0.00090, throughput: 262.83 | 2022-04-27 10:42:01.859
[rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86733, top1: 0.00105, throughput: 262.82 | 2022-04-27 10:42:01.859
[rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86703, top1: 0.00117, throughput: 262.82 | 2022-04-27 10:42:01.862
[rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86707, top1: 0.00113, throughput: 262.82 | 2022-04-27 10:42:01.860
[rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86742, top1: 0.00137, throughput: 262.83 | 2022-04-27 10:42:01.860
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]
2022/04/27 10:42:02.118, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7775 MiB, 24735 MiB
2022/04/27 10:42:02.118, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7775 MiB, 24735 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/27 10:42:02.124, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7770 MiB, 24740 MiB
2022/04/27 10:42:02.124, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7770 MiB, 24740 MiB
2022/04/27 10:42:02.123, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7775 MiB, 24735 MiB
2022/04/27 10:42:02.124, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7775 MiB, 24735 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/27 10:42:02.135, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7936 MiB, 24574 MiB
2022/04/27 10:42:02.135, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7936 MiB, 24574 MiB
2022/04/27 10:42:02.136, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7770 MiB, 24740 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/27 10:42:02.137, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7770 MiB, 24740 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]
2022/04/27 10:42:02.141, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7862 MiB, 24648 MiB
2022/04/27 10:42:02.141, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7862 MiB, 24648 MiB
2022/04/27 10:42:02.140, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7775 MiB, 24735 MiB
2022/04/27 10:42:02.142, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7936 MiB, 24574 MiB
2022/04/27 10:42:02.142, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7936 MiB, 24574 MiB
2022/04/27 10:42:02.142, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7775 MiB, 24735 MiB
2022/04/27 10:42:02.145, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7775 MiB, 24735 MiB
2022/04/27 10:42:02.145, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7775 MiB, 24735 MiB
2022/04/27 10:42:02.147, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7906 MiB, 24604 MiB
2022/04/27 10:42:02.148, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7906 MiB, 24604 MiB
2022/04/27 10:42:02.148, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7770 MiB, 24740 MiB
2022/04/27 10:42:02.148, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7862 MiB, 24648 MiB
2022/04/27 10:42:02.149, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7862 MiB, 24648 MiB
2022/04/27 10:42:02.150, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7770 MiB, 24740 MiB
2022/04/27 10:42:02.153, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7770 MiB, 24740 MiB
2022/04/27 10:42:02.154, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7770 MiB, 24740 MiB
2022/04/27 10:42:02.155, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7762 MiB, 24748 MiB
2022/04/27 10:42:02.156, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7762 MiB, 24748 MiB
2022/04/27 10:42:02.156, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7936 MiB, 24574 MiB
2022/04/27 10:42:02.156, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7906 MiB, 24604 MiB
2022/04/27 10:42:02.157, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7906 MiB, 24604 MiB
2022/04/27 10:42:02.158, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7936 MiB, 24574 MiB
2022/04/27 10:42:02.169, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7936 MiB, 24574 MiB
2022/04/27 10:42:02.170, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7936 MiB, 24574 MiB
2022/04/27 10:42:02.172, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7604 MiB, 24906 MiB
2022/04/27 10:42:02.172, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7604 MiB, 24906 MiB
2022/04/27 10:42:02.172, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7862 MiB, 24648 MiB
2022/04/27 10:42:02.172, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7762 MiB, 24748 MiB
2022/04/27 10:42:02.174, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7762 MiB, 24748 MiB
2022/04/27 10:42:02.174, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7862 MiB, 24648 MiB
2022/04/27 10:42:02.178, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7862 MiB, 24648 MiB
2022/04/27 10:42:02.179, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7862 MiB, 24648 MiB
2022/04/27 10:42:02.181, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7778 MiB, 24732 MiB
2022/04/27 10:42:02.181, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7778 MiB, 24732 MiB
2022/04/27 10:42:02.181, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7906 MiB, 24604 MiB
2022/04/27 10:42:02.181, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7604 MiB, 24906 MiB
2022/04/27 10:42:02.183, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7604 MiB, 24906 MiB
2022/04/27 10:42:02.183, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7906 MiB, 24604 MiB
2022/04/27 10:42:02.187, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7906 MiB, 24604 MiB
2022/04/27 10:42:02.188, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7906 MiB, 24604 MiB
2022/04/27 10:42:02.190, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7762 MiB, 24748 MiB
2022/04/27 10:42:02.190, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7778 MiB, 24732 MiB
2022/04/27 10:42:02.192, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7778 MiB, 24732 MiB
2022/04/27 10:42:02.192, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7762 MiB, 24748 MiB
2022/04/27 10:42:02.196, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7762 MiB, 24748 MiB
2022/04/27 10:42:02.197, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7762 MiB, 24748 MiB
2022/04/27 10:42:02.199, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7604 MiB, 24906 MiB
2022/04/27 10:42:02.201, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7604 MiB, 24906 MiB
2022/04/27 10:42:02.204, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7604 MiB, 24906 MiB
2022/04/27 10:42:02.205, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7604 MiB, 24906 MiB
2022/04/27 10:42:02.207, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7778 MiB, 24732 MiB
2022/04/27 10:42:02.209, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7778 MiB, 24732 MiB
2022/04/27 10:42:02.213, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7778 MiB, 24732 MiB
2022/04/27 10:42:02.214, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7778 MiB, 24732 MiB
[rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86717, top1: 0.00125, throughput: 374.19 | 2022-04-27 10:43:10.274
[rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86704, top1: 0.00094, throughput: 374.19 | 2022-04-27 10:43:10.273
[rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86736, top1: 0.00090, throughput: 374.19 | 2022-04-27 10:43:10.273
[rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86765, top1: 0.00105, throughput: 374.19 | 2022-04-27 10:43:10.274
[rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86740, top1: 0.00086, throughput: 374.19 | 2022-04-27 10:43:10.274
[rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86721, top1: 0.00133, throughput: 374.19 | 2022-04-27 10:43:10.274
[rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86702, top1: 0.00137, throughput: 374.19 | 2022-04-27 10:43:10.274
[rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86710, top1: 0.00102, throughput: 374.19 | 2022-04-27 10:43:10.277
[rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86733, top1: 0.00102, throughput: 373.87 | 2022-04-27 10:44:18.747
[rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86696, top1: 0.00078, throughput: 373.86 | 2022-04-27 10:44:18.747
[rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86741, top1: 0.00090, throughput: 373.87 | 2022-04-27 10:44:18.748
[rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86708, top1: 0.00090, throughput: 373.86 | 2022-04-27 10:44:18.748
[rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86740, top1: 0.00105, throughput: 373.87 | 2022-04-27 10:44:18.748
[rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86721, top1: 0.00117, throughput: 373.87 | 2022-04-27 10:44:18.747
[rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86739, top1: 0.00105, throughput: 373.86 | 2022-04-27 10:44:18.748
[rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86708, top1: 0.00105, throughput: 373.86 | 2022-04-27 10:44:18.752