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: 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
------------------------ 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: 3.18291 s *****
[rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86760, top1: 0.00109, throughput: 264.92 | 2022-05-14 02:06:07.561
[rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86731, top1: 0.00113, throughput: 264.91 | 2022-05-14 02:06:07.560
[rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86759, top1: 0.00133, throughput: 264.90 | 2022-05-14 02:06:07.560
[rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86741, top1: 0.00109, throughput: 264.91 | 2022-05-14 02:06:07.564
[rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86774, top1: 0.00129, throughput: 264.92 | 2022-05-14 02:06:07.561
[rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86744, top1: 0.00051, throughput: 264.93 | 2022-05-14 02:06:07.561
[rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86708, top1: 0.00141, throughput: 264.92 | 2022-05-14 02:06:07.565
[rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86757, top1: 0.00121, throughput: 264.92 | 2022-05-14 02:06:07.561
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]
2022/05/14 02:06:07.862, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7737 MiB, 24773 MiB
2022/05/14 02:06:07.867, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7737 MiB, 24773 MiB
2022/05/14 02:06:07.868, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7737 MiB, 24773 MiB
2022/05/14 02:06:07.872, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 56 %, 32510 MiB, 7716 MiB, 24794 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]
2022/05/14 02:06:07.877, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 56 %, 32510 MiB, 7716 MiB, 24794 MiB
2022/05/14 02:06:07.877, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 56 %, 32510 MiB, 7716 MiB, 24794 MiB
2022/05/14 02:06:07.877, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7942 MiB, 24568 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/14 02:06:07.879, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7737 MiB, 24773 MiB
2022/05/14 02:06:07.880, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7737 MiB, 24773 MiB
2022/05/14 02:06:07.881, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7737 MiB, 24773 MiB
2022/05/14 02:06:07.882, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7942 MiB, 24568 MiB
2022/05/14 02:06:07.881, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7737 MiB, 24773 MiB
2022/05/14 02:06:07.883, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7942 MiB, 24568 MiB
2022/05/14 02:06:07.883, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7902 MiB, 24608 MiB
2022/05/14 02:06:07.885, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7737 MiB, 24773 MiB
2022/05/14 02:06:07.887, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 56 %, 32510 MiB, 7716 MiB, 24794 MiB
2022/05/14 02:06:07.888, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 56 %, 32510 MiB, 7716 MiB, 24794 MiB
2022/05/14 02:06:07.891, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 56 %, 32510 MiB, 7716 MiB, 24794 MiB
2022/05/14 02:06:07.891, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7902 MiB, 24608 MiB
2022/05/14 02:06:07.892, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 56 %, 32510 MiB, 7716 MiB, 24794 MiB
2022/05/14 02:06:07.893, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7902 MiB, 24608 MiB
2022/05/14 02:06:07.893, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7902 MiB, 24608 MiB
2022/05/14 02:06:07.896, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 56 %, 32510 MiB, 7716 MiB, 24794 MiB
2022/05/14 02:06:07.898, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7942 MiB, 24568 MiB
2022/05/14 02:06:07.899, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7942 MiB, 24568 MiB
2022/05/14 02:06:07.900, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7942 MiB, 24568 MiB
2022/05/14 02:06:07.900, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7902 MiB, 24608 MiB
2022/05/14 02:06:07.901, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7942 MiB, 24568 MiB
2022/05/14 02:06:07.902, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7902 MiB, 24608 MiB
2022/05/14 02:06:07.902, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7770 MiB, 24740 MiB
2022/05/14 02:06:07.905, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7942 MiB, 24568 MiB
2022/05/14 02:06:07.906, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7902 MiB, 24608 MiB
2022/05/14 02:06:07.908, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7902 MiB, 24608 MiB
2022/05/14 02:06:07.910, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7902 MiB, 24608 MiB
2022/05/14 02:06:07.911, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7770 MiB, 24740 MiB
2022/05/14 02:06:07.912, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7902 MiB, 24608 MiB
2022/05/14 02:06:07.912, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7770 MiB, 24740 MiB
2022/05/14 02:06:07.913, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7658 MiB, 24852 MiB
2022/05/14 02:06:07.915, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7902 MiB, 24608 MiB
2022/05/14 02:06:07.917, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7902 MiB, 24608 MiB
2022/05/14 02:06:07.918, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7902 MiB, 24608 MiB
2022/05/14 02:06:07.924, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7902 MiB, 24608 MiB
2022/05/14 02:06:07.925, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7658 MiB, 24852 MiB
2022/05/14 02:06:07.925, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7902 MiB, 24608 MiB
2022/05/14 02:06:07.926, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7658 MiB, 24852 MiB
2022/05/14 02:06:07.927, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7768 MiB, 24742 MiB
2022/05/14 02:06:07.930, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7902 MiB, 24608 MiB
2022/05/14 02:06:07.933, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7770 MiB, 24740 MiB
2022/05/14 02:06:07.934, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7770 MiB, 24740 MiB
2022/05/14 02:06:07.935, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7770 MiB, 24740 MiB
2022/05/14 02:06:07.935, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7768 MiB, 24742 MiB
2022/05/14 02:06:07.936, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7770 MiB, 24740 MiB
2022/05/14 02:06:07.937, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7768 MiB, 24742 MiB
2022/05/14 02:06:07.941, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7770 MiB, 24740 MiB
2022/05/14 02:06:07.944, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7658 MiB, 24852 MiB
2022/05/14 02:06:07.944, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7658 MiB, 24852 MiB
2022/05/14 02:06:07.945, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7658 MiB, 24852 MiB
2022/05/14 02:06:07.947, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7658 MiB, 24852 MiB
2022/05/14 02:06:07.950, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7658 MiB, 24852 MiB
2022/05/14 02:06:07.952, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7768 MiB, 24742 MiB
2022/05/14 02:06:07.953, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7768 MiB, 24742 MiB
2022/05/14 02:06:07.953, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7768 MiB, 24742 MiB
2022/05/14 02:06:07.954, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7768 MiB, 24742 MiB
2022/05/14 02:06:07.957, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7768 MiB, 24742 MiB
[rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86766, top1: 0.00098, throughput: 371.38 | 2022-05-14 02:07:16.496
[rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86763, top1: 0.00113, throughput: 371.37 | 2022-05-14 02:07:16.495
[rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86748, top1: 0.00109, throughput: 371.38[rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86784, top1: 0.00066, throughput: 371.38 | 2022-05-14 02:07:16.492 
| 2022-05-14 02:07:16.494
[rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86763, top1: 0.00121, throughput: 371.37 | 2022-05-14 02:07:16.494
[rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86751, top1: 0.00117, throughput: 371.37 | 2022-05-14 02:07:16.495
[rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86728, top1: 0.00133, throughput: 371.39 | 2022-05-14 02:07:16.494
[rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86752, top1: 0.00121, throughput: 371.38 | 2022-05-14 02:07:16.494
[rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86743, top1: 0.00113, throughput: 375.14 | 2022-05-14 02:08:24.735
[rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86722, top1: 0.00105, throughput: 375.14 | 2022-05-14 02:08:24.737
[rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86724, top1: 0.00141, throughput: 375.10 | 2022-05-14 02:08:24.743
[rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86733, top1: 0.00129, throughput: 375.10 | 2022-05-14 02:08:24.742
[rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86743, top1: 0.00098, throughput: 375.10 | 2022-05-14 02:08:24.743
[rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86746, top1: 0.00109, throughput: 375.09[rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86761, top1: 0.00121, throughput: 375.09 | 2022-05-14 02:08:24.743 
| 2022-05-14 02:08:24.744
[rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86755, top1: 0.00145, throughput: 375.10 | 2022-05-14 02:08:24.743