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: 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
/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
W20220508 02:12:31.176353  6900 rpc_client.cpp:190] LoadServer 10.7.72.73 Failed at 0 times error_code 14 error_message failed to connect to all addresses
W20220508 02:12:31.176941  6901 rpc_client.cpp:190] LoadServer 10.7.72.73 Failed at 0 times error_code 14 error_message failed to connect to all addresses
W20220508 02:12:31.178100  6898 rpc_client.cpp:190] LoadServer 10.7.72.73 Failed at 0 times error_code 14 error_message failed to connect to all addresses
W20220508 02:12:31.178982  6899 rpc_client.cpp:190] LoadServer 10.7.72.73 Failed at 0 times error_code 14 error_message failed to connect to all addresses
------------------------ arguments ------------------------
  batches_per_epoch ............................... 625
  channel_last .................................... False
  ddp ............................................. True
  exit_num ........................................ 300
  fuse_bn_add_relu ................................ False
  fuse_bn_relu .................................... False
  gpu_stat_file ................................... None
  grad_clipping ................................... 0.0
  graph ........................................... False
  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 ...................................... False
  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: 2.82323 s *****
[rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86738, lr: 0.000000, top1: 0.00066, throughput: 276.95 | 2022-05-08 02:14:18.658
[rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86742, lr: 0.000000, top1: 0.00082, throughput: 276.99 | 2022-05-08 02:14:18.658
[rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86758, lr: 0.000000, top1: 0.00062, throughput: 276.94 | 2022-05-08 02:14:18.661
[rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86747, lr: 0.000000, top1: 0.00062, throughput: 276.86 | 2022-05-08 02:14:18.687
[rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86760, lr: 0.000000, top1: 0.00074, throughput: 276.80 | 2022-05-08 02:14:18.692
[rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86744, lr: 0.000000, top1: 0.00098, throughput: 276.88 | 2022-05-08 02:14:18.697
[rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86720, lr: 0.000000, top1: 0.00074, throughput: 276.78 | 2022-05-08 02:14:18.712
[rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86760, lr: 0.000000, top1: 0.00066, throughput: 276.65 | 2022-05-08 02:14:18.719
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]
2022/05/08 02:14:18.830, Tesla V100-SXM2-32GB, 470.57.02, 6 %, 2 %, 32510 MiB, 5094 MiB, 27416 MiB
2022/05/08 02:14:18.836, Tesla V100-SXM2-32GB, 470.57.02, 6 %, 2 %, 32510 MiB, 5094 MiB, 27416 MiB
2022/05/08 02:14:18.838, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 27 %, 32510 MiB, 5114 MiB, 27396 MiB
2022/05/08 02:14:18.842, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 27 %, 32510 MiB, 5114 MiB, 27396 MiB
2022/05/08 02:14:18.842, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 72 %, 32510 MiB, 5190 MiB, 27320 MiB
2022/05/08 02:14:18.848, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 72 %, 32510 MiB, 5190 MiB, 27320 MiB
2022/05/08 02:14:18.849, Tesla V100-SXM2-32GB, 470.57.02, 51 %, 16 %, 32510 MiB, 5166 MiB, 27344 MiB
2022/05/08 02:14:18.856, Tesla V100-SXM2-32GB, 470.57.02, 51 %, 16 %, 32510 MiB, 5166 MiB, 27344 MiB
2022/05/08 02:14:18.856, Tesla V100-SXM2-32GB, 470.57.02, 51 %, 13 %, 32510 MiB, 5174 MiB, 27336 MiB
2022/05/08 02:14:18.861, Tesla V100-SXM2-32GB, 470.57.02, 51 %, 13 %, 32510 MiB, 5174 MiB, 27336 MiB
2022/05/08 02:14:18.862, Tesla V100-SXM2-32GB, 470.57.02, 28 %, 4 %, 32510 MiB, 5106 MiB, 27404 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/08 02:14:18.867, Tesla V100-SXM2-32GB, 470.57.02, 28 %, 4 %, 32510 MiB, 5106 MiB, 27404 MiB
2022/05/08 02:14:18.867, Tesla V100-SXM2-32GB, 470.57.02, 74 %, 53 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/08 02:14:18.871, Tesla V100-SXM2-32GB, 470.57.02, 6 %, 2 %, 32510 MiB, 5094 MiB, 27416 MiB
2022/05/08 02:14:18.874, Tesla V100-SXM2-32GB, 470.57.02, 74 %, 53 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/08 02:14:18.875, Tesla V100-SXM2-32GB, 470.57.02, 26 %, 5 %, 32510 MiB, 5130 MiB, 27380 MiB
2022/05/08 02:14:18.885, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 27 %, 32510 MiB, 5114 MiB, 27396 MiB
2022/05/08 02:14:18.887, Tesla V100-SXM2-32GB, 470.57.02, 26 %, 5 %, 32510 MiB, 5130 MiB, 27380 MiB
2022/05/08 02:14:18.890, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 72 %, 32510 MiB, 5190 MiB, 27320 MiB
2022/05/08 02:14:18.896, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 54 %, 32510 MiB, 5166 MiB, 27344 MiB
2022/05/08 02:14:18.913, Tesla V100-SXM2-32GB, 470.57.02, 41 %, 32 %, 32510 MiB, 5174 MiB, 27336 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/08 02:14:18.927, Tesla V100-SXM2-32GB, 470.57.02, 28 %, 4 %, 32510 MiB, 5106 MiB, 27404 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/08 02:14:18.933, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 56 %, 32510 MiB, 5094 MiB, 27416 MiB
2022/05/08 02:14:18.936, Tesla V100-SXM2-32GB, 470.57.02, 74 %, 53 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/08 02:14:18.945, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 56 %, 32510 MiB, 5094 MiB, 27416 MiB
2022/05/08 02:14:18.948, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 27 %, 32510 MiB, 5114 MiB, 27396 MiB
2022/05/08 02:14:18.955, Tesla V100-SXM2-32GB, 470.57.02, 44 %, 39 %, 32510 MiB, 5130 MiB, 27380 MiB
2022/05/08 02:14:18.960, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 27 %, 32510 MiB, 5114 MiB, 27396 MiB
2022/05/08 02:14:18.961, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 5190 MiB, 27320 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]
2022/05/08 02:14:18.971, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 5190 MiB, 27320 MiB
2022/05/08 02:14:18.973, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 53 %, 32510 MiB, 5166 MiB, 27344 MiB
2022/05/08 02:14:18.983, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 54 %, 32510 MiB, 5094 MiB, 27416 MiB
2022/05/08 02:14:19.003, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 53 %, 32510 MiB, 5166 MiB, 27344 MiB
2022/05/08 02:14:19.002, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 54 %, 32510 MiB, 5094 MiB, 27416 MiB
2022/05/08 02:14:19.007, Tesla V100-SXM2-32GB, 470.57.02, 41 %, 31 %, 32510 MiB, 5174 MiB, 27336 MiB
2022/05/08 02:14:19.023, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 5114 MiB, 27396 MiB
2022/05/08 02:14:19.028, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 80 %, 32510 MiB, 5174 MiB, 27336 MiB
2022/05/08 02:14:19.033, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 5114 MiB, 27396 MiB
2022/05/08 02:14:19.037, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 5106 MiB, 27404 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/08 02:14:19.060, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 65 %, 32510 MiB, 5190 MiB, 27320 MiB
2022/05/08 02:14:19.062, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 5106 MiB, 27404 MiB
2022/05/08 02:14:19.062, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 65 %, 32510 MiB, 5190 MiB, 27320 MiB
2022/05/08 02:14:19.064, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 75 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/08 02:14:19.079, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 75 %, 32510 MiB, 5166 MiB, 27344 MiB
2022/05/08 02:14:19.078, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 73 %, 32510 MiB, 5094 MiB, 27416 MiB
2022/05/08 02:14:19.081, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 75 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/08 02:14:19.081, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 75 %, 32510 MiB, 5166 MiB, 27344 MiB
2022/05/08 02:14:19.083, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 80 %, 32510 MiB, 5130 MiB, 27380 MiB
2022/05/08 02:14:19.088, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 80 %, 32510 MiB, 5174 MiB, 27336 MiB
2022/05/08 02:14:19.088, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 5114 MiB, 27396 MiB
2022/05/08 02:14:19.093, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 80 %, 32510 MiB, 5130 MiB, 27380 MiB
2022/05/08 02:14:19.093, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 80 %, 32510 MiB, 5174 MiB, 27336 MiB
2022/05/08 02:14:19.099, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 5106 MiB, 27404 MiB
2022/05/08 02:14:19.100, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 65 %, 32510 MiB, 5190 MiB, 27320 MiB
2022/05/08 02:14:19.102, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 5106 MiB, 27404 MiB
2022/05/08 02:14:19.107, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 75 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/08 02:14:19.107, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 75 %, 32510 MiB, 5166 MiB, 27344 MiB
2022/05/08 02:14:19.119, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 75 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/08 02:14:19.123, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 80 %, 32510 MiB, 5130 MiB, 27380 MiB
2022/05/08 02:14:19.123, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 80 %, 32510 MiB, 5174 MiB, 27336 MiB
2022/05/08 02:14:19.127, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 80 %, 32510 MiB, 5130 MiB, 27380 MiB
2022/05/08 02:14:19.133, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 5106 MiB, 27404 MiB
2022/05/08 02:14:19.141, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 75 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/08 02:14:19.151, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 80 %, 32510 MiB, 5130 MiB, 27380 MiB
[rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86739, lr: 0.000000, top1: 0.00109, throughput: 294.58 | 2022-05-08 02:15:45.595
[rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86717, lr: 0.000000, top1: 0.00070, throughput: 294.43 | 2022-05-08 02:15:45.605
[rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86709, lr: 0.000000, top1: 0.00113, throughput: 294.37 | 2022-05-08 02:15:45.624
[rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86738, lr: 0.000000, top1: 0.00082, throughput: 294.45 | 2022-05-08 02:15:45.628
[rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86738, lr: 0.000000, top1: 0.00082, throughput: 294.53 | 2022-05-08 02:15:45.629
[rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86726, lr: 0.000000, top1: 0.00086, throughput: 294.27 | 2022-05-08 02:15:45.655
[rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86729, lr: 0.000000, top1: 0.00078, throughput: 294.41 | 2022-05-08 02:15:45.672
[rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86748, lr: 0.000000, top1: 0.00094, throughput: 294.31 | 2022-05-08 02:15:45.681
[rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86754, lr: 0.000000, top1: 0.00086, throughput: 295.66 | 2022-05-08 02:17:12.240
[rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86747, lr: 0.000000, top1: 0.00062, throughput: 295.43 | 2022-05-08 02:17:12.258
[rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86746, lr: 0.000000, top1: 0.00078, throughput: 295.46 | 2022-05-08 02:17:12.267
[rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86742, lr: 0.000000, top1: 0.00082, throughput: 295.37 | 2022-05-08 02:17:12.301
[rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86740, lr: 0.000000, top1: 0.00109, throughput: 295.36 | 2022-05-08 02:17:12.302
[rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86736, lr: 0.000000, top1: 0.00055, throughput: 295.50 | 2022-05-08 02:17:12.314
[rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86722, lr: 0.000000, top1: 0.00098, throughput: 295.18 | 2022-05-08 02:17:12.321
[rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86734, lr: 0.000000, top1: 0.00102, throughput: 295.38 | 2022-05-08 02:17:12.339