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: 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


/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

W20220410 22:40:42.695300  2073 rpc_client.cpp:190] LoadServer 10.7.202.19 Failed at 0 times error_code 14 error_message failed to connect to all addresses
W20220410 22:40:42.700168  2072 rpc_client.cpp:190] LoadServer 10.7.202.19 Failed at 0 times error_code 14 error_message failed to connect to all addresses
W20220410 22:40:42.697049  2074 rpc_client.cpp:190] LoadServer 10.7.202.19 Failed at 0 times error_code 14 error_message failed to connect to all addresses
W20220410 22:40:42.702416  2076 rpc_client.cpp:190] LoadServer 10.7.202.19 Failed at 0 times error_code 14 error_message failed to connect to all addresses
W20220410 22:40:42.706665  2075 rpc_client.cpp:190] LoadServer 10.7.202.19 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 .................................. 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: 2.77274 s *****
[rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86758, top1: 0.00113, throughput: 261.96 | 2022-04-10 22:42:35.468
[rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86771, top1: 0.00168, throughput: 261.96 | 2022-04-10 22:42:35.470
[rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86711, top1: 0.00137, throughput: 261.95 | 2022-04-10 22:42:35.472
[rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86774, top1: 0.00152, throughput: 261.97 | 2022-04-10 22:42:35.469
[rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86750, top1: 0.00148, throughput: 261.97 | 2022-04-10 22:42:35.468
[rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86767, top1: 0.00160, throughput: 261.95 | 2022-04-10 22:42:35.473
[rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86742, top1: 0.00152, throughput: 261.97 | 2022-04-10 22:42:35.473
[rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86765, top1: 0.00109, throughput: 261.95 | 2022-04-10 22:42:35.473
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]
2022/04/10 22:42:35.789, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7677 MiB, 24833 MiB
2022/04/10 22:42:35.789, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7677 MiB, 24833 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]
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/10 22:42:35.798, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7656 MiB, 24854 MiB
2022/04/10 22:42:35.798, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7656 MiB, 24854 MiB
2022/04/10 22:42:35.798, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7677 MiB, 24833 MiB
2022/04/10 22:42:35.799, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7677 MiB, 24833 MiB
2022/04/10 22:42:35.799, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7677 MiB, 24833 MiB
2022/04/10 22:42:35.799, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7677 MiB, 24833 MiB
2022/04/10 22:42:35.800, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7677 MiB, 24833 MiB
2022/04/10 22:42:35.800, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7677 MiB, 24833 MiB
2022/04/10 22:42:35.809, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7894 MiB, 24616 MiB
2022/04/10 22:42:35.810, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7894 MiB, 24616 MiB
2022/04/10 22:42:35.810, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7656 MiB, 24854 MiB
2022/04/10 22:42:35.811, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7656 MiB, 24854 MiB
2022/04/10 22:42:35.811, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7656 MiB, 24854 MiB
2022/04/10 22:42:35.812, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7656 MiB, 24854 MiB
2022/04/10 22:42:35.812, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7656 MiB, 24854 MiB
2022/04/10 22:42:35.813, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7656 MiB, 24854 MiB
2022/04/10 22:42:35.822, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 58 %, 32510 MiB, 7738 MiB, 24772 MiB
2022/04/10 22:42:35.822, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 58 %, 32510 MiB, 7738 MiB, 24772 MiB
2022/04/10 22:42:35.823, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7894 MiB, 24616 MiB
2022/04/10 22:42:35.825, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7894 MiB, 24616 MiB
2022/04/10 22:42:35.827, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7894 MiB, 24616 MiB
2022/04/10 22:42:35.828, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7894 MiB, 24616 MiB
2022/04/10 22:42:35.829, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7894 MiB, 24616 MiB
2022/04/10 22:42:35.830, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7894 MiB, 24616 MiB
2022/04/10 22:42:35.839, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7858 MiB, 24652 MiB
2022/04/10 22:42:35.839, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7858 MiB, 24652 MiB
2022/04/10 22:42:35.840, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 58 %, 32510 MiB, 7738 MiB, 24772 MiB
2022/04/10 22:42:35.841, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 58 %, 32510 MiB, 7738 MiB, 24772 MiB
2022/04/10 22:42:35.841, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 58 %, 32510 MiB, 7738 MiB, 24772 MiB
2022/04/10 22:42:35.842, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 58 %, 32510 MiB, 7738 MiB, 24772 MiB
2022/04/10 22:42:35.842, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 58 %, 32510 MiB, 7738 MiB, 24772 MiB
2022/04/10 22:42:35.845, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 58 %, 32510 MiB, 7738 MiB, 24772 MiB
2022/04/10 22:42:35.851, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 7738 MiB, 24772 MiB
2022/04/10 22:42:35.851, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 7738 MiB, 24772 MiB
2022/04/10 22:42:35.852, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7858 MiB, 24652 MiB
2022/04/10 22:42:35.853, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7858 MiB, 24652 MiB
2022/04/10 22:42:35.853, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7858 MiB, 24652 MiB
2022/04/10 22:42:35.853, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7858 MiB, 24652 MiB
2022/04/10 22:42:35.854, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7858 MiB, 24652 MiB
2022/04/10 22:42:35.855, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7858 MiB, 24652 MiB
2022/04/10 22:42:35.862, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7614 MiB, 24896 MiB
2022/04/10 22:42:35.862, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7614 MiB, 24896 MiB
2022/04/10 22:42:35.863, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 7738 MiB, 24772 MiB
2022/04/10 22:42:35.864, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 7738 MiB, 24772 MiB
2022/04/10 22:42:35.864, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 7738 MiB, 24772 MiB
2022/04/10 22:42:35.864, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 7738 MiB, 24772 MiB
2022/04/10 22:42:35.865, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 7738 MiB, 24772 MiB
2022/04/10 22:42:35.866, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 7738 MiB, 24772 MiB
2022/04/10 22:42:35.872, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7744 MiB, 24766 MiB
2022/04/10 22:42:35.872, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7744 MiB, 24766 MiB
2022/04/10 22:42:35.873, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7614 MiB, 24896 MiB
2022/04/10 22:42:35.874, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7614 MiB, 24896 MiB
2022/04/10 22:42:35.874, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7614 MiB, 24896 MiB
2022/04/10 22:42:35.875, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7614 MiB, 24896 MiB
2022/04/10 22:42:35.876, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7614 MiB, 24896 MiB
2022/04/10 22:42:35.876, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7614 MiB, 24896 MiB
2022/04/10 22:42:35.884, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7744 MiB, 24766 MiB
2022/04/10 22:42:35.884, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7744 MiB, 24766 MiB
2022/04/10 22:42:35.885, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7744 MiB, 24766 MiB
2022/04/10 22:42:35.885, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7744 MiB, 24766 MiB
2022/04/10 22:42:35.886, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7744 MiB, 24766 MiB
2022/04/10 22:42:35.887, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7744 MiB, 24766 MiB
[rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86776, top1: 0.00129, throughput: 382.19 | 2022-04-10 22:43:42.451
[rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86775, top1: 0.00121, throughput: 382.18 | 2022-04-10 22:43:42.452
[rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86756, top1: 0.00148, throughput: 382.18 | 2022-04-10 22:43:42.453
[rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86752, top1: 0.00133, throughput: 382.17 | 2022-04-10 22:43:42.458
[rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86753, top1: 0.00102, throughput: 382.18 | 2022-04-10 22:43:42.455
[rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86768, top1: 0.00113, throughput: 382.19 | 2022-04-10 22:43:42.456
[rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86757, top1: 0.00121, throughput: 382.18 | 2022-04-10 22:43:42.456
[rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86754, top1: 0.00187, throughput: 382.17 | 2022-04-10 22:43:42.459
[rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86781, top1: 0.00137, throughput: 389.17 | 2022-04-10 22:44:48.233
[rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86766, top1: 0.00129, throughput: 389.16 | 2022-04-10 22:44:48.233
[rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86765, top1: 0.00121, throughput: 389.17 | 2022-04-10 22:44:48.234
[rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86756, top1: 0.00121, throughput: 389.18 | 2022-04-10 22:44:48.237
[rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86746, top1: 0.00113, throughput: 389.17 | 2022-04-10 22:44:48.237
[rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86737, top1: 0.00164, throughput: 389.18 | 2022-04-10 22:44:48.239
[rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86739, top1: 0.00156, throughput: 389.17 | 2022-04-10 22:44:48.236
[rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86725, top1: 0.00152, throughput: 389.16 | 2022-04-10 22:44:48.238