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: loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1/usr/lib/x86_64-linux-gnu/libibverbs.so.1

W20220516 07:03:40.061555  2081 rpc_client.cpp:190] LoadServer 10.7.164.224 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: 2.95399 s *****
[rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86752, top1: 0.00082, throughput: 262.18 | 2022-05-16 07:05:32.982
[rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86761, top1: 0.00070, throughput: 262.17 | 2022-05-16 07:05:32.982
[rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86726, top1: 0.00074, throughput: 262.17 | 2022-05-16 07:05:32.984
[rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86755, top1: 0.00129, throughput: 262.16 | 2022-05-16 07:05:32.984
[rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86772, top1: 0.00074, throughput: 262.17 | 2022-05-16 07:05:32.982
[rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86763, top1: 0.00039, throughput: 262.16 | 2022-05-16 07:05:32.984
[rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86778, top1: 0.00086, throughput: 262.17 | 2022-05-16 07:05:32.983
[rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86743, top1: 0.00059, throughput: 262.16 | 2022-05-16 07:05:32.984
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/16 07:05:33.249, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7791 MiB, 24719 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]
2022/05/16 07:05:33.257, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7656 MiB, 24854 MiB
2022/05/16 07:05:33.258, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7791 MiB, 24719 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]
2022/05/16 07:05:33.263, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7791 MiB, 24719 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/16 07:05:33.265, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7898 MiB, 24612 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]
2022/05/16 07:05:33.268, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7656 MiB, 24854 MiB
2022/05/16 07:05:33.275, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7656 MiB, 24854 MiB
2022/05/16 07:05:33.275, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7791 MiB, 24719 MiB
2022/05/16 07:05:33.275, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7791 MiB, 24719 MiB
2022/05/16 07:05:33.276, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7892 MiB, 24618 MiB
2022/05/16 07:05:33.276, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7791 MiB, 24719 MiB
2022/05/16 07:05:33.276, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7791 MiB, 24719 MiB
2022/05/16 07:05:33.277, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7791 MiB, 24719 MiB
2022/05/16 07:05:33.278, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7898 MiB, 24612 MiB
2022/05/16 07:05:33.290, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7898 MiB, 24612 MiB
2022/05/16 07:05:33.290, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7656 MiB, 24854 MiB
2022/05/16 07:05:33.291, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7656 MiB, 24854 MiB
2022/05/16 07:05:33.291, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7912 MiB, 24598 MiB
2022/05/16 07:05:33.291, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7656 MiB, 24854 MiB
2022/05/16 07:05:33.292, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7656 MiB, 24854 MiB
2022/05/16 07:05:33.293, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7656 MiB, 24854 MiB
2022/05/16 07:05:33.293, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7892 MiB, 24618 MiB
2022/05/16 07:05:33.303, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7892 MiB, 24618 MiB
2022/05/16 07:05:33.303, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7898 MiB, 24612 MiB
2022/05/16 07:05:33.303, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7898 MiB, 24612 MiB
2022/05/16 07:05:33.303, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7760 MiB, 24750 MiB
2022/05/16 07:05:33.304, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7898 MiB, 24612 MiB
2022/05/16 07:05:33.306, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7898 MiB, 24612 MiB
2022/05/16 07:05:33.306, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7898 MiB, 24612 MiB
2022/05/16 07:05:33.307, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7912 MiB, 24598 MiB
2022/05/16 07:05:33.312, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7912 MiB, 24598 MiB
2022/05/16 07:05:33.313, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7892 MiB, 24618 MiB
2022/05/16 07:05:33.313, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7892 MiB, 24618 MiB
2022/05/16 07:05:33.313, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7590 MiB, 24920 MiB
2022/05/16 07:05:33.314, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7892 MiB, 24618 MiB
2022/05/16 07:05:33.314, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7892 MiB, 24618 MiB
2022/05/16 07:05:33.315, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7892 MiB, 24618 MiB
2022/05/16 07:05:33.315, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7760 MiB, 24750 MiB
2022/05/16 07:05:33.321, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7760 MiB, 24750 MiB
2022/05/16 07:05:33.321, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7912 MiB, 24598 MiB
2022/05/16 07:05:33.321, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7912 MiB, 24598 MiB
2022/05/16 07:05:33.322, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7798 MiB, 24712 MiB
2022/05/16 07:05:33.322, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7912 MiB, 24598 MiB
2022/05/16 07:05:33.323, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7912 MiB, 24598 MiB
2022/05/16 07:05:33.323, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7912 MiB, 24598 MiB
2022/05/16 07:05:33.324, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7590 MiB, 24920 MiB
2022/05/16 07:05:33.331, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7590 MiB, 24920 MiB
2022/05/16 07:05:33.336, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7760 MiB, 24750 MiB
2022/05/16 07:05:33.337, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7760 MiB, 24750 MiB
2022/05/16 07:05:33.337, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7760 MiB, 24750 MiB
2022/05/16 07:05:33.338, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7760 MiB, 24750 MiB
2022/05/16 07:05:33.339, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7760 MiB, 24750 MiB
2022/05/16 07:05:33.339, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7798 MiB, 24712 MiB
2022/05/16 07:05:33.346, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7798 MiB, 24712 MiB
2022/05/16 07:05:33.347, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7590 MiB, 24920 MiB
2022/05/16 07:05:33.347, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7590 MiB, 24920 MiB
2022/05/16 07:05:33.348, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7590 MiB, 24920 MiB
2022/05/16 07:05:33.349, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7590 MiB, 24920 MiB
2022/05/16 07:05:33.349, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7590 MiB, 24920 MiB
2022/05/16 07:05:33.356, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7798 MiB, 24712 MiB
2022/05/16 07:05:33.356, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7798 MiB, 24712 MiB
2022/05/16 07:05:33.356, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7798 MiB, 24712 MiB
2022/05/16 07:05:33.357, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7798 MiB, 24712 MiB
2022/05/16 07:05:33.358, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7798 MiB, 24712 MiB
[rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86773, top1: 0.00051, throughput: 373.60 | 2022-05-16 07:06:41.507
[rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86750, top1: 0.00090, throughput: 373.54 | 2022-05-16 07:06:41.515
[rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86742, top1: 0.00078, throughput: 373.55 | 2022-05-16 07:06:41.515
[rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86753, top1: 0.00086, throughput: 373.54 | 2022-05-16 07:06:41.515
[rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86721, top1: 0.00078, throughput: 373.54 | 2022-05-16 07:06:41.515
[rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86771, top1: 0.00082, throughput: 373.54 | 2022-05-16 07:06:41.518
[rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86744, top1: 0.00062, throughput: 373.54 | 2022-05-16 07:06:41.517
[rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86750, top1: 0.00094, throughput: 373.54 | 2022-05-16 07:06:41.519
[rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86759, top1: 0.00078, throughput: 375.60 | 2022-05-16 07:07:49.676
[rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86740, top1: 0.00070, throughput: 375.51 | 2022-05-16 07:07:49.680
[rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86756, top1: 0.00047, throughput: 375.56 | 2022-05-16 07:07:49.681
[rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86727, top1: 0.00051, throughput: 375.55 | 2022-05-16 07:07:49.682
[rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86755, top1: 0.00078, throughput: 375.55 | 2022-05-16 07:07:49.682
[rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86729, top1: 0.00059, throughput: 375.56 | 2022-05-16 07:07:49.682
[rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86738, top1: 0.00090, throughput: 375.55 | 2022-05-16 07:07:49.682
[rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86740, top1: 0.00090, throughput: 375.57 | 2022-05-16 07:07:49.682