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: /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
loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1
------------------------ arguments ------------------------
  batches_per_epoch ............................... 312
  channel_last .................................... True
  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 ................................... 4.096
  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 ................................ 512
  train_global_batch_size ......................... 4096
  use_fp16 ........................................ True
  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: 2.69145 s *****
[rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86795, top1: 0.00094, throughput: 456.02 | 2022-04-21 02:10:37.707
[rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86768, top1: 0.00086, throughput: 455.85 | 2022-04-21 02:10:37.705
[rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86765, top1: 0.00111, throughput: 455.80 | 2022-04-21 02:10:37.707
[rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86743, top1: 0.00115, throughput: 456.10 | 2022-04-21 02:10:37.708
[rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86745, top1: 0.00098, throughput: 456.02 | 2022-04-21 02:10:37.706
[rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86786, top1: 0.00094, throughput: 455.97 | 2022-04-21 02:10:37.708
[rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86765, top1: 0.00111, throughput: 456.10 | 2022-04-21 02:10:37.708
[rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86767, top1: 0.00068, throughput: 456.06 | 2022-04-21 02:10:37.708
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]
2022/04/21 02:10:38.117, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 8567 MiB, 23943 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/21 02:10:38.117, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 8567 MiB, 23943 MiB
2022/04/21 02:10:38.122, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 8567 MiB, 23943 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/21 02:10:38.138, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 90 %, 32510 MiB, 8596 MiB, 23914 MiB
2022/04/21 02:10:38.140, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 90 %, 32510 MiB, 8596 MiB, 23914 MiB
2022/04/21 02:10:38.135, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 8567 MiB, 23943 MiB
2022/04/21 02:10:38.140, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 8567 MiB, 23943 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/21 02:10:38.147, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 90 %, 32510 MiB, 8596 MiB, 23914 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/21 02:10:38.153, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8567 MiB, 23943 MiB
2022/04/21 02:10:38.155, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 8748 MiB, 23762 MiB
2022/04/21 02:10:38.155, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 8748 MiB, 23762 MiB
2022/04/21 02:10:38.155, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 90 %, 32510 MiB, 8596 MiB, 23914 MiB
2022/04/21 02:10:38.156, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 90 %, 32510 MiB, 8596 MiB, 23914 MiB
2022/04/21 02:10:38.160, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8567 MiB, 23943 MiB
2022/04/21 02:10:38.161, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8748 MiB, 23762 MiB
2022/04/21 02:10:38.173, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8567 MiB, 23943 MiB
2022/04/21 02:10:38.180, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8596 MiB, 23914 MiB
2022/04/21 02:10:38.182, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 70 %, 32510 MiB, 8700 MiB, 23810 MiB
2022/04/21 02:10:38.182, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 70 %, 32510 MiB, 8700 MiB, 23810 MiB
2022/04/21 02:10:38.182, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8748 MiB, 23762 MiB
2022/04/21 02:10:38.183, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8748 MiB, 23762 MiB
2022/04/21 02:10:38.195, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8596 MiB, 23914 MiB
2022/04/21 02:10:38.195, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 70 %, 32510 MiB, 8700 MiB, 23810 MiB
2022/04/21 02:10:38.200, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8596 MiB, 23914 MiB
2022/04/21 02:10:38.200, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8748 MiB, 23762 MiB
2022/04/21 02:10:38.202, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 78 %, 32510 MiB, 8696 MiB, 23814 MiB
2022/04/21 02:10:38.202, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 78 %, 32510 MiB, 8696 MiB, 23814 MiB
2022/04/21 02:10:38.203, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 70 %, 32510 MiB, 8700 MiB, 23810 MiB
2022/04/21 02:10:38.203, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 70 %, 32510 MiB, 8700 MiB, 23810 MiB
2022/04/21 02:10:38.212, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8748 MiB, 23762 MiB
2022/04/21 02:10:38.213, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 78 %, 32510 MiB, 8696 MiB, 23814 MiB
2022/04/21 02:10:38.215, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8748 MiB, 23762 MiB
2022/04/21 02:10:38.215, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 70 %, 32510 MiB, 8700 MiB, 23810 MiB
2022/04/21 02:10:38.217, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8560 MiB, 23950 MiB
2022/04/21 02:10:38.220, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8560 MiB, 23950 MiB
2022/04/21 02:10:38.220, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 78 %, 32510 MiB, 8696 MiB, 23814 MiB
2022/04/21 02:10:38.221, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 78 %, 32510 MiB, 8696 MiB, 23814 MiB
2022/04/21 02:10:38.224, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 70 %, 32510 MiB, 8700 MiB, 23810 MiB
2022/04/21 02:10:38.226, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8560 MiB, 23950 MiB
2022/04/21 02:10:38.231, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 70 %, 32510 MiB, 8700 MiB, 23810 MiB
2022/04/21 02:10:38.231, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 78 %, 32510 MiB, 8696 MiB, 23814 MiB
2022/04/21 02:10:38.233, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 69 %, 32510 MiB, 8466 MiB, 24044 MiB
2022/04/21 02:10:38.233, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 69 %, 32510 MiB, 8466 MiB, 24044 MiB
2022/04/21 02:10:38.234, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8560 MiB, 23950 MiB
2022/04/21 02:10:38.234, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8560 MiB, 23950 MiB
2022/04/21 02:10:38.240, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 78 %, 32510 MiB, 8696 MiB, 23814 MiB
2022/04/21 02:10:38.240, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 69 %, 32510 MiB, 8466 MiB, 24044 MiB
2022/04/21 02:10:38.243, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 78 %, 32510 MiB, 8696 MiB, 23814 MiB
2022/04/21 02:10:38.244, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8560 MiB, 23950 MiB
2022/04/21 02:10:38.248, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8628 MiB, 23882 MiB
2022/04/21 02:10:38.248, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8628 MiB, 23882 MiB
2022/04/21 02:10:38.249, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 69 %, 32510 MiB, 8466 MiB, 24044 MiB
2022/04/21 02:10:38.249, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 69 %, 32510 MiB, 8466 MiB, 24044 MiB
2022/04/21 02:10:38.253, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8560 MiB, 23950 MiB
2022/04/21 02:10:38.253, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8628 MiB, 23882 MiB
2022/04/21 02:10:38.255, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8560 MiB, 23950 MiB
2022/04/21 02:10:38.256, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 69 %, 32510 MiB, 8466 MiB, 24044 MiB
2022/04/21 02:10:38.260, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8628 MiB, 23882 MiB
2022/04/21 02:10:38.260, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8628 MiB, 23882 MiB
2022/04/21 02:10:38.269, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 69 %, 32510 MiB, 8466 MiB, 24044 MiB
2022/04/21 02:10:38.271, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 69 %, 32510 MiB, 8466 MiB, 24044 MiB
2022/04/21 02:10:38.272, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8628 MiB, 23882 MiB
2022/04/21 02:10:38.277, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8628 MiB, 23882 MiB
2022/04/21 02:10:38.279, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8628 MiB, 23882 MiB
[rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86773, top1: 0.00096, throughput: 1343.84 | 2022-04-21 02:11:15.808
[rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86790, top1: 0.00092, throughput: 1343.75 | 2022-04-21 02:11:15.808
[rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86767, top1: 0.00111, throughput: 1343.81 | 2022-04-21 02:11:15.808
[rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86776, top1: 0.00074, throughput: 1343.73 | 2022-04-21 02:11:15.808
[rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86793, top1: 0.00094, throughput: 1343.72 | 2022-04-21 02:11:15.811
[rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86793, top1: 0.00090, throughput: 1343.78 | 2022-04-21 02:11:15.808
[rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86769, top1: 0.00102, throughput: 1343.69 | 2022-04-21 02:11:15.812
[rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86785, top1: 0.00100, throughput: 1343.73 | 2022-04-21 02:11:15.810
[rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86776, top1: 0.00113, throughput: 1357.63 | 2022-04-21 02:11:53.521
[rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86815, top1: 0.00080, throughput: 1357.60 | 2022-04-21 02:11:53.522
[rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86773, top1: 0.00078, throughput: 1357.60 | 2022-04-21 02:11:53.525
[rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86774, top1: 0.00082, throughput: 1357.61 | 2022-04-21 02:11:53.524
[rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86799, top1: 0.00080, throughput: 1357.54 | 2022-04-21 02:11:53.525
[rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86764, top1: 0.00105, throughput: 1357.54 | 2022-04-21 02:11:53.524
[rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86793, top1: 0.00109, throughput: 1357.44 | 2022-04-21 02:11:53.526
[rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86770, top1: 0.00078, throughput: 1357.39 | 2022-04-21 02:11:53.527