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 .................................. 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: 2.89022 s *****
[rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86725, top1: 0.00129, throughput: 266.23 | 2022-04-13 01:53:54.353
[rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86748, top1: 0.00121, throughput: 266.24 | 2022-04-13 01:53:54.353
[rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86756, top1: 0.00133, throughput: 266.24 | 2022-04-13 01:53:54.355
[rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86752, top1: 0.00145, throughput: 266.24 | 2022-04-13 01:53:54.354
[rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86741, top1: 0.00109, throughput: 266.23 | 2022-04-13 01:53:54.354
[rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86746, top1: 0.00109, throughput: 266.23 | 2022-04-13 01:53:54.356
[rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86738, top1: 0.00090, throughput: 266.25 | 2022-04-13 01:53:54.354
[rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86732, top1: 0.00133, throughput: 266.23 | 2022-04-13 01:53:54.354
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]
2022/04/13 01:53:54.658, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8576 MiB, 23934 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]
2022/04/13 01:53:54.661, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8576 MiB, 23934 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/13 01:53:54.662, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8576 MiB, 23934 MiB
2022/04/13 01:53:54.664, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8576 MiB, 23934 MiB
2022/04/13 01:53:54.665, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 8558 MiB, 23952 MiB
2022/04/13 01:53:54.668, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8576 MiB, 23934 MiB
2022/04/13 01:53:54.669, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8576 MiB, 23934 MiB
2022/04/13 01:53:54.670, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 8558 MiB, 23952 MiB
2022/04/13 01:53:54.671, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 8558 MiB, 23952 MiB
2022/04/13 01:53:54.671, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8576 MiB, 23934 MiB
2022/04/13 01:53:54.674, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 8558 MiB, 23952 MiB
2022/04/13 01:53:54.674, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8708 MiB, 23802 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/13 01:53:54.676, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 8558 MiB, 23952 MiB
2022/04/13 01:53:54.678, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 8558 MiB, 23952 MiB
2022/04/13 01:53:54.678, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8708 MiB, 23802 MiB
2022/04/13 01:53:54.679, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8708 MiB, 23802 MiB
2022/04/13 01:53:54.679, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 8558 MiB, 23952 MiB
2022/04/13 01:53:54.682, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8708 MiB, 23802 MiB
2022/04/13 01:53:54.682, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8650 MiB, 23860 MiB
2022/04/13 01:53:54.682, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8576 MiB, 23934 MiB
2022/04/13 01:53:54.684, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8708 MiB, 23802 MiB
2022/04/13 01:53:54.687, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8708 MiB, 23802 MiB
2022/04/13 01:53:54.688, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8650 MiB, 23860 MiB
2022/04/13 01:53:54.689, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8650 MiB, 23860 MiB
2022/04/13 01:53:54.689, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8708 MiB, 23802 MiB
2022/04/13 01:53:54.692, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8650 MiB, 23860 MiB
2022/04/13 01:53:54.692, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8624 MiB, 23886 MiB
2022/04/13 01:53:54.694, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 8558 MiB, 23952 MiB
2022/04/13 01:53:54.695, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8650 MiB, 23860 MiB
2022/04/13 01:53:54.696, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8650 MiB, 23860 MiB
2022/04/13 01:53:54.696, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8624 MiB, 23886 MiB
2022/04/13 01:53:54.698, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8624 MiB, 23886 MiB
2022/04/13 01:53:54.698, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8650 MiB, 23860 MiB
2022/04/13 01:53:54.701, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8624 MiB, 23886 MiB
2022/04/13 01:53:54.701, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8570 MiB, 23940 MiB
2022/04/13 01:53:54.703, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8708 MiB, 23802 MiB
2022/04/13 01:53:54.703, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8624 MiB, 23886 MiB
2022/04/13 01:53:54.705, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8624 MiB, 23886 MiB
2022/04/13 01:53:54.707, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8570 MiB, 23940 MiB
2022/04/13 01:53:54.709, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8570 MiB, 23940 MiB
2022/04/13 01:53:54.709, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8624 MiB, 23886 MiB
2022/04/13 01:53:54.712, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8570 MiB, 23940 MiB
2022/04/13 01:53:54.712, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8450 MiB, 24060 MiB
2022/04/13 01:53:54.714, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8650 MiB, 23860 MiB
2022/04/13 01:53:54.715, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8570 MiB, 23940 MiB
2022/04/13 01:53:54.716, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8570 MiB, 23940 MiB
2022/04/13 01:53:54.717, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8450 MiB, 24060 MiB
2022/04/13 01:53:54.718, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8450 MiB, 24060 MiB
2022/04/13 01:53:54.718, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8570 MiB, 23940 MiB
2022/04/13 01:53:54.721, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8450 MiB, 24060 MiB
2022/04/13 01:53:54.721, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8542 MiB, 23968 MiB
2022/04/13 01:53:54.723, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8624 MiB, 23886 MiB
2022/04/13 01:53:54.724, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8450 MiB, 24060 MiB
2022/04/13 01:53:54.725, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8450 MiB, 24060 MiB
2022/04/13 01:53:54.728, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8542 MiB, 23968 MiB
2022/04/13 01:53:54.729, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8542 MiB, 23968 MiB
2022/04/13 01:53:54.730, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8450 MiB, 24060 MiB
2022/04/13 01:53:54.733, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8542 MiB, 23968 MiB
2022/04/13 01:53:54.734, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8570 MiB, 23940 MiB
2022/04/13 01:53:54.735, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8542 MiB, 23968 MiB
2022/04/13 01:53:54.736, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8542 MiB, 23968 MiB
2022/04/13 01:53:54.739, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8542 MiB, 23968 MiB
2022/04/13 01:53:54.743, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8450 MiB, 24060 MiB
2022/04/13 01:53:54.753, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8542 MiB, 23968 MiB
[rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86764, top1: 0.00125, throughput: 379.81 | 2022-04-13 01:55:01.755
[rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86726, top1: 0.00117, throughput: 379.81 | 2022-04-13 01:55:01.758
[rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86752, top1: 0.00105, throughput: 379.78 | 2022-04-13 01:55:01.764
[rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86713, top1: 0.00078, throughput: 379.76 | 2022-04-13 01:55:01.764
[rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86750, top1: 0.00176, throughput: 379.76 | 2022-04-13 01:55:01.764
[rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86762, top1: 0.00113, throughput: 379.75 | 2022-04-13 01:55:01.767
[rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86738, top1: 0.00109, throughput: 379.74 | 2022-04-13 01:55:01.769
[rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86764, top1: 0.00098, throughput: 379.74 | 2022-04-13 01:55:01.769
[rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86730, top1: 0.00137, throughput: 379.63 | 2022-04-13 01:56:09.199
[rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86738, top1: 0.00125, throughput: 379.57 | 2022-04-13 01:56:09.199
[rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86737, top1: 0.00094, throughput: 379.65 | 2022-04-13 01:56:09.198
[rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86758, top1: 0.00133, throughput: 379.65 | 2022-04-13 01:56:09.199
[rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86739, top1: 0.00078, throughput: 379.64 | 2022-04-13 01:56:09.200
[rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86734, top1: 0.00148, throughput: 379.62 | 2022-04-13 01:56:09.200
[rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86727, top1: 0.00117, throughput: 379.61 | 2022-04-13 01:56:09.201
[rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86773, top1: 0.00098, throughput: 379.58 | 2022-04-13 01:56:09.201