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
W20220426 10:28:16.910698  5269 rpc_client.cpp:190] LoadServer 10.7.23.113 Failed at 0 times error_code 14 error_message failed to connect to all addresses
------------------------ 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: 2.76284 s *****
[rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86735, top1: 0.00133, throughput: 276.27 | 2022-04-26 10:30:04.688
[rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86751, top1: 0.00109, throughput: 276.26 | 2022-04-26 10:30:04.691
[rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86703, top1: 0.00125, throughput: 276.26 | 2022-04-26 10:30:04.690
[rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86731, top1: 0.00117, throughput: 276.27 | 2022-04-26 10:30:04.694
[rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86738, top1: 0.00109, throughput: 276.25 | 2022-04-26 10:30:04.695
[rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86721, top1: 0.00102, throughput: 276.25 | 2022-04-26 10:30:04.696
[rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86736, top1: 0.00074, throughput: 276.24 | 2022-04-26 10:30:04.697
[rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86726, top1: 0.00113, throughput: 276.22 | 2022-04-26 10:30:04.698
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]
2022/04/26 10:30:05.048, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8528 MiB, 23982 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]
2022/04/26 10:30:05.054, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8528 MiB, 23982 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/26 10:30:05.056, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8438 MiB, 24072 MiB
2022/04/26 10:30:05.055, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8528 MiB, 23982 MiB
2022/04/26 10:30:05.062, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8528 MiB, 23982 MiB
2022/04/26 10:30:05.066, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8528 MiB, 23982 MiB
2022/04/26 10:30:05.070, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8438 MiB, 24072 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/26 10:30:05.072, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8624 MiB, 23886 MiB
2022/04/26 10:30:05.072, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8438 MiB, 24072 MiB
2022/04/26 10:30:05.072, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8528 MiB, 23982 MiB
2022/04/26 10:30:05.073, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8438 MiB, 24072 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/26 10:30:05.075, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8438 MiB, 24072 MiB
2022/04/26 10:30:05.078, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8624 MiB, 23886 MiB
2022/04/26 10:30:05.080, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8566 MiB, 23944 MiB
2022/04/26 10:30:05.080, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8624 MiB, 23886 MiB
2022/04/26 10:30:05.079, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8528 MiB, 23982 MiB
2022/04/26 10:30:05.080, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8438 MiB, 24072 MiB
2022/04/26 10:30:05.081, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8624 MiB, 23886 MiB
2022/04/26 10:30:05.081, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8528 MiB, 23982 MiB
2022/04/26 10:30:05.083, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8624 MiB, 23886 MiB
2022/04/26 10:30:05.086, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8566 MiB, 23944 MiB
2022/04/26 10:30:05.089, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8598 MiB, 23912 MiB
2022/04/26 10:30:05.089, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8566 MiB, 23944 MiB
2022/04/26 10:30:05.089, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8438 MiB, 24072 MiB
2022/04/26 10:30:05.090, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8624 MiB, 23886 MiB
2022/04/26 10:30:05.090, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8566 MiB, 23944 MiB
2022/04/26 10:30:05.091, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8438 MiB, 24072 MiB
2022/04/26 10:30:05.092, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8566 MiB, 23944 MiB
2022/04/26 10:30:05.101, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8598 MiB, 23912 MiB
2022/04/26 10:30:05.103, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8494 MiB, 24016 MiB
2022/04/26 10:30:05.103, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8598 MiB, 23912 MiB
2022/04/26 10:30:05.104, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8624 MiB, 23886 MiB
2022/04/26 10:30:05.104, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8566 MiB, 23944 MiB
2022/04/26 10:30:05.105, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8598 MiB, 23912 MiB
2022/04/26 10:30:05.106, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8624 MiB, 23886 MiB
2022/04/26 10:30:05.107, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8598 MiB, 23912 MiB
2022/04/26 10:30:05.110, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8494 MiB, 24016 MiB
2022/04/26 10:30:05.113, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8306 MiB, 24204 MiB
2022/04/26 10:30:05.113, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8494 MiB, 24016 MiB
2022/04/26 10:30:05.113, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8566 MiB, 23944 MiB
2022/04/26 10:30:05.114, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8598 MiB, 23912 MiB
2022/04/26 10:30:05.114, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8494 MiB, 24016 MiB
2022/04/26 10:30:05.115, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8566 MiB, 23944 MiB
2022/04/26 10:30:05.116, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8494 MiB, 24016 MiB
2022/04/26 10:30:05.120, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8306 MiB, 24204 MiB
2022/04/26 10:30:05.122, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8522 MiB, 23988 MiB
2022/04/26 10:30:05.122, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8306 MiB, 24204 MiB
2022/04/26 10:30:05.123, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8598 MiB, 23912 MiB
2022/04/26 10:30:05.123, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8494 MiB, 24016 MiB
2022/04/26 10:30:05.124, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8306 MiB, 24204 MiB
2022/04/26 10:30:05.125, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8598 MiB, 23912 MiB
2022/04/26 10:30:05.126, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8306 MiB, 24204 MiB
2022/04/26 10:30:05.129, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8522 MiB, 23988 MiB
2022/04/26 10:30:05.132, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8522 MiB, 23988 MiB
2022/04/26 10:30:05.132, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8494 MiB, 24016 MiB
2022/04/26 10:30:05.132, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8306 MiB, 24204 MiB
2022/04/26 10:30:05.133, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8522 MiB, 23988 MiB
2022/04/26 10:30:05.134, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8494 MiB, 24016 MiB
2022/04/26 10:30:05.135, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8522 MiB, 23988 MiB
2022/04/26 10:30:05.141, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8306 MiB, 24204 MiB
2022/04/26 10:30:05.141, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8522 MiB, 23988 MiB
2022/04/26 10:30:05.143, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8306 MiB, 24204 MiB
2022/04/26 10:30:05.156, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8522 MiB, 23988 MiB
2022/04/26 10:30:05.158, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8522 MiB, 23988 MiB
[rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86724, top1: 0.00078, throughput: 378.45 | 2022-04-26 10:31:12.333
[rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86747, top1: 0.00125, throughput: 378.45 | 2022-04-26 10:31:12.333
[rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86713, top1: 0.00082, throughput: 378.45 | 2022-04-26 10:31:12.335
[rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86750, top1: 0.00109, throughput: 378.46 | 2022-04-26 10:31:12.337
[rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86718, top1: 0.00066, throughput: 378.47 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86716, top1: 0.00102, throughput: 378.46 | 2022-04-26 10:31:12.339
| 2022-04-26 10:31:12.338
[rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86721, top1: 0.00117, throughput: 378.46 | 2022-04-26 10:31:12.339
[rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86747, top1: 0.00082, throughput: 378.45 | 2022-04-26 10:31:12.339
[rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86691, top1: 0.00105, throughput: 377.46 | 2022-04-26 10:32:20.155
[rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86734, top1: 0.00090, throughput: 377.47 | 2022-04-26 10:32:20.153
[rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86691, top1: 0.00098, throughput: 377.47 | 2022-04-26 10:32:20.157
[rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86728, top1: 0.00086, throughput: 377.47 | 2022-04-26 10:32:20.155
[rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86782, top1: 0.00090, throughput: 377.47 | 2022-04-26 10:32:20.159
[rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86742, top1: 0.00105, throughput: 377.47 | 2022-04-26 10:32:20.159
[rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86743, top1: 0.00082, throughput: 377.46 | 2022-04-26 10:32:20.160
[rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86727, top1: 0.00062, throughput: 377.46 | 2022-04-26 10:32:20.161