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: /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
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 .................................. 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: 2.82844 s *****
[rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86724, top1: 0.00117, throughput: 268.50 | 2022-04-14 02:12:22.339
[rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86739, top1: 0.00070, throughput: 268.49 | 2022-04-14 02:12:22.343
[rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86722, top1: 0.00094, throughput: 268.48 | 2022-04-14 02:12:22.341
[rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86751, top1: 0.00113, throughput: 268.51 | 2022-04-14 02:12:22.341
[rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86746, top1: 0.00141, throughput: 268.49 | 2022-04-14 02:12:22.345
[rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86741, top1: 0.00078, throughput: 268.48 | 2022-04-14 02:12:22.347
[rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86728, top1: 0.00109, throughput: 268.49 | 2022-04-14 02:12:22.345
[rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86754, top1: 0.00090, throughput: 268.48 | 2022-04-14 02:12:22.346
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]
2022/04/14 02:12:22.679, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8556 MiB, 23954 MiB
2022/04/14 02:12:22.683, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8556 MiB, 23954 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]
2022/04/14 02:12:22.687, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8542 MiB, 23968 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]
2022/04/14 02:12:22.689, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8542 MiB, 23968 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/14 02:12:22.689, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8556 MiB, 23954 MiB
2022/04/14 02:12:22.691, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8710 MiB, 23800 MiB
2022/04/14 02:12:22.690, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8556 MiB, 23954 MiB
2022/04/14 02:12:22.691, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8556 MiB, 23954 MiB
2022/04/14 02:12:22.693, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8556 MiB, 23954 MiB
2022/04/14 02:12:22.694, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8710 MiB, 23800 MiB
2022/04/14 02:12:22.693, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8556 MiB, 23954 MiB
2022/04/14 02:12:22.694, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8556 MiB, 23954 MiB
2022/04/14 02:12:22.697, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8542 MiB, 23968 MiB
2022/04/14 02:12:22.698, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8614 MiB, 23896 MiB
2022/04/14 02:12:22.699, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8542 MiB, 23968 MiB
2022/04/14 02:12:22.701, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8542 MiB, 23968 MiB
2022/04/14 02:12:22.702, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8542 MiB, 23968 MiB
2022/04/14 02:12:22.703, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8614 MiB, 23896 MiB
2022/04/14 02:12:22.703, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8542 MiB, 23968 MiB
2022/04/14 02:12:22.704, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8542 MiB, 23968 MiB
2022/04/14 02:12:22.706, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8710 MiB, 23800 MiB
2022/04/14 02:12:22.708, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8610 MiB, 23900 MiB
2022/04/14 02:12:22.709, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8710 MiB, 23800 MiB
2022/04/14 02:12:22.710, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8710 MiB, 23800 MiB
2022/04/14 02:12:22.711, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8710 MiB, 23800 MiB
2022/04/14 02:12:22.712, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8610 MiB, 23900 MiB
2022/04/14 02:12:22.717, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8710 MiB, 23800 MiB
2022/04/14 02:12:22.718, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8710 MiB, 23800 MiB
2022/04/14 02:12:22.720, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8614 MiB, 23896 MiB
2022/04/14 02:12:22.722, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8546 MiB, 23964 MiB
2022/04/14 02:12:22.723, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8614 MiB, 23896 MiB
2022/04/14 02:12:22.724, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8614 MiB, 23896 MiB
2022/04/14 02:12:22.726, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8614 MiB, 23896 MiB
2022/04/14 02:12:22.727, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8546 MiB, 23964 MiB
2022/04/14 02:12:22.727, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8614 MiB, 23896 MiB
2022/04/14 02:12:22.728, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8614 MiB, 23896 MiB
2022/04/14 02:12:22.730, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8610 MiB, 23900 MiB
2022/04/14 02:12:22.732, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8414 MiB, 24096 MiB
2022/04/14 02:12:22.732, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8610 MiB, 23900 MiB
2022/04/14 02:12:22.734, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8610 MiB, 23900 MiB
2022/04/14 02:12:22.735, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8610 MiB, 23900 MiB
2022/04/14 02:12:22.736, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8414 MiB, 24096 MiB
2022/04/14 02:12:22.736, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8610 MiB, 23900 MiB
2022/04/14 02:12:22.737, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8610 MiB, 23900 MiB
2022/04/14 02:12:22.739, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8546 MiB, 23964 MiB
2022/04/14 02:12:22.741, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8542 MiB, 23968 MiB
2022/04/14 02:12:22.741, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8546 MiB, 23964 MiB
2022/04/14 02:12:22.743, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8546 MiB, 23964 MiB
2022/04/14 02:12:22.744, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8546 MiB, 23964 MiB
2022/04/14 02:12:22.745, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8542 MiB, 23968 MiB
2022/04/14 02:12:22.745, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8546 MiB, 23964 MiB
2022/04/14 02:12:22.746, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8546 MiB, 23964 MiB
2022/04/14 02:12:22.748, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8414 MiB, 24096 MiB
2022/04/14 02:12:22.750, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8414 MiB, 24096 MiB
2022/04/14 02:12:22.751, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8414 MiB, 24096 MiB
2022/04/14 02:12:22.754, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8414 MiB, 24096 MiB
2022/04/14 02:12:22.755, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8414 MiB, 24096 MiB
2022/04/14 02:12:22.756, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8414 MiB, 24096 MiB
2022/04/14 02:12:22.758, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8542 MiB, 23968 MiB
2022/04/14 02:12:22.760, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8542 MiB, 23968 MiB
2022/04/14 02:12:22.762, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8542 MiB, 23968 MiB
2022/04/14 02:12:22.763, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8542 MiB, 23968 MiB
2022/04/14 02:12:22.764, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8542 MiB, 23968 MiB
2022/04/14 02:12:22.764, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8542 MiB, 23968 MiB
[rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86717, top1: 0.00121, throughput: 378.68 | 2022-04-14 02:13:29.945
[rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86744, top1: 0.00113, throughput: 378.67 | 2022-04-14 02:13:29.948
[rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86738, top1: 0.00090, throughput: 378.68 | 2022-04-14 02:13:29.945
[rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86766, top1: 0.00094, throughput: 378.66 | 2022-04-14 02:13:29.945
[rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86762, top1: 0.00145, throughput: 378.67 | 2022-04-14 02:13:29.950
[rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86760, top1: 0.00102, throughput: 378.67 | 2022-04-14 02:13:29.949
[rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86743, top1: 0.00078, throughput: 378.67[rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86731, top1: 0.00066, throughput: 378.67 | 2022-04-14 02:13:29.951
 | 2022-04-14 02:13:29.951
[rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86739, top1: 0.00121, throughput: 378.99 | 2022-04-14 02:14:37.495
[rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86735, top1: 0.00082, throughput: 378.95 | 2022-04-14 02:14:37.500
[rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86747, top1: 0.00082, throughput: 378.99 | 2022-04-14 02:14:37.497
[rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86745, top1: 0.00086, throughput: 378.94 | 2022-04-14 02:14:37.501
[rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86761, top1: 0.00113, throughput: 378.94 | 2022-04-14 02:14:37.502
[rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86745, top1: 0.00102, throughput: 378.94 | 2022-04-14 02:14:37.508
[rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86751, top1: 0.00074, throughput: 378.94 | 2022-04-14 02:14:37.508
[rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86733, top1: 0.00078, throughput: 378.93 | 2022-04-14 02:14:37.508