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: 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
W20220407 18:05:44.374876  2038 rpc_client.cpp:190] LoadServer 10.7.231.16 Failed at 0 times error_code 14 error_message failed to connect to all addresses
W20220407 18:05:44.374895  2037 rpc_client.cpp:190] LoadServer 10.7.231.16 Failed at 0 times error_code 14 error_message failed to connect to all addresses
W20220407 18:05:44.375020  2039 rpc_client.cpp:190] LoadServer 10.7.231.16 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: 2.97304 s *****
[rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86740, top1: 0.00117, throughput: 259.85 | 2022-04-07 18:07:38.424
[rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86748, top1: 0.00070, throughput: 259.84 | 2022-04-07 18:07:38.425
[rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86742, top1: 0.00109, throughput: 259.83 | 2022-04-07 18:07:38.425
[rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86759, top1: 0.00098, throughput: 259.84 | 2022-04-07 18:07:38.424
[rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86746, top1: 0.00074, throughput: 259.84 | 2022-04-07 18:07:38.425
[rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86771, top1: 0.00129, throughput: 259.83 | 2022-04-07 18:07:38.425
[rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86733, top1: 0.00137, throughput: 259.84 | 2022-04-07 18:07:38.427
[rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86756, top1: 0.00133, throughput: 259.84 | 2022-04-07 18:07:38.425
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]
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/07 18:07:38.691, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7699 MiB, 24811 MiB
2022/04/07 18:07:38.692, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7699 MiB, 24811 MiB
2022/04/07 18:07:38.693, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7699 MiB, 24811 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/07 18:07:38.694, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7699 MiB, 24811 MiB
2022/04/07 18:07:38.695, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7699 MiB, 24811 MiB
2022/04/07 18:07:38.695, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7699 MiB, 24811 MiB
2022/04/07 18:07:38.698, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7670 MiB, 24840 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/07 18:07:38.710, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7670 MiB, 24840 MiB
2022/04/07 18:07:38.711, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7670 MiB, 24840 MiB
2022/04/07 18:07:38.712, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7670 MiB, 24840 MiB
2022/04/07 18:07:38.712, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7699 MiB, 24811 MiB
2022/04/07 18:07:38.713, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7670 MiB, 24840 MiB
2022/04/07 18:07:38.713, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7670 MiB, 24840 MiB
2022/04/07 18:07:38.716, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7872 MiB, 24638 MiB
2022/04/07 18:07:38.719, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7872 MiB, 24638 MiB
2022/04/07 18:07:38.717, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7699 MiB, 24811 MiB
2022/04/07 18:07:38.720, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7872 MiB, 24638 MiB
2022/04/07 18:07:38.721, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7872 MiB, 24638 MiB
2022/04/07 18:07:38.721, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7670 MiB, 24840 MiB
2022/04/07 18:07:38.722, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7872 MiB, 24638 MiB
2022/04/07 18:07:38.722, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7872 MiB, 24638 MiB
2022/04/07 18:07:38.724, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 7852 MiB, 24658 MiB
2022/04/07 18:07:38.729, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 7852 MiB, 24658 MiB
2022/04/07 18:07:38.730, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7670 MiB, 24840 MiB
2022/04/07 18:07:38.730, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 7852 MiB, 24658 MiB
2022/04/07 18:07:38.731, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 7852 MiB, 24658 MiB
2022/04/07 18:07:38.732, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7872 MiB, 24638 MiB
2022/04/07 18:07:38.732, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 7852 MiB, 24658 MiB
2022/04/07 18:07:38.733, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 7852 MiB, 24658 MiB
2022/04/07 18:07:38.735, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7802 MiB, 24708 MiB
2022/04/07 18:07:38.738, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7802 MiB, 24708 MiB
2022/04/07 18:07:38.738, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7872 MiB, 24638 MiB
2022/04/07 18:07:38.750, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7802 MiB, 24708 MiB
2022/04/07 18:07:38.752, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7802 MiB, 24708 MiB
2022/04/07 18:07:38.753, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 7852 MiB, 24658 MiB
2022/04/07 18:07:38.754, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7802 MiB, 24708 MiB
2022/04/07 18:07:38.754, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7802 MiB, 24708 MiB
2022/04/07 18:07:38.757, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7704 MiB, 24806 MiB
2022/04/07 18:07:38.760, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7704 MiB, 24806 MiB
2022/04/07 18:07:38.760, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 7852 MiB, 24658 MiB
2022/04/07 18:07:38.761, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7704 MiB, 24806 MiB
2022/04/07 18:07:38.762, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7704 MiB, 24806 MiB
2022/04/07 18:07:38.762, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7802 MiB, 24708 MiB
2022/04/07 18:07:38.763, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7704 MiB, 24806 MiB
2022/04/07 18:07:38.763, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7704 MiB, 24806 MiB
2022/04/07 18:07:38.766, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7528 MiB, 24982 MiB
2022/04/07 18:07:38.771, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7528 MiB, 24982 MiB
2022/04/07 18:07:38.772, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7802 MiB, 24708 MiB
2022/04/07 18:07:38.772, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7528 MiB, 24982 MiB
2022/04/07 18:07:38.774, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7528 MiB, 24982 MiB
2022/04/07 18:07:38.775, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7704 MiB, 24806 MiB
2022/04/07 18:07:38.776, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7528 MiB, 24982 MiB
2022/04/07 18:07:38.777, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7528 MiB, 24982 MiB
2022/04/07 18:07:38.779, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7786 MiB, 24724 MiB
2022/04/07 18:07:38.782, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7786 MiB, 24724 MiB
2022/04/07 18:07:38.783, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7704 MiB, 24806 MiB
2022/04/07 18:07:38.783, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7786 MiB, 24724 MiB
2022/04/07 18:07:38.784, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7786 MiB, 24724 MiB
2022/04/07 18:07:38.785, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7528 MiB, 24982 MiB
2022/04/07 18:07:38.786, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7786 MiB, 24724 MiB
2022/04/07 18:07:38.786, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7786 MiB, 24724 MiB
2022/04/07 18:07:38.794, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7528 MiB, 24982 MiB
2022/04/07 18:07:38.797, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7786 MiB, 24724 MiB
2022/04/07 18:07:38.803, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7786 MiB, 24724 MiB
[rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86763, top1: 0.00113, throughput: 380.30 | 2022-04-07 18:08:45.740
[rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86749, top1: 0.00117, throughput: 380.26 | 2022-04-07 18:08:45.747
[rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86753, top1: 0.00109, throughput: 380.26 | 2022-04-07 18:08:45.748
[rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86750, top1: 0.00121, throughput: 380.25 | 2022-04-07 18:08:45.748
[rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86735, top1: 0.00105, throughput: 380.25 | 2022-04-07 18:08:45.749
[rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86758, top1: 0.00055, throughput: 380.25 | 2022-04-07 18:08:45.749
[rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86724, top1: 0.00105, throughput: 380.25 | 2022-04-07 18:08:45.749
[rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86769, top1: 0.00074, throughput: 380.25 | 2022-04-07 18:08:45.751
[rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86766, top1: 0.00094, throughput: 386.75 | 2022-04-07 18:09:51.941
[rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86767, top1: 0.00094, throughput: 386.70 | 2022-04-07 18:09:51.941
[rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86748, top1: 0.00066, throughput: 386.75 | 2022-04-07 18:09:51.942
[rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86753, top1: 0.00094, throughput: 386.74 | 2022-04-07 18:09:51.941
[rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86759, top1: 0.00078, throughput: 386.74 | 2022-04-07 18:09:51.942
[rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86724, top1: 0.00109, throughput: 386.74 | 2022-04-07 18:09:51.943
[rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86726, top1: 0.00082, throughput: 386.74 | 2022-04-07 18:09:51.943
[rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86766, top1: 0.00059, throughput: 386.74 | 2022-04-07 18:09:51.945