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: /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

loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1
W20220429 01:51:13.620961  5269 rpc_client.cpp:190] LoadServer 10.7.155.237 Failed at 0 times error_code 14 error_message failed to connect to all addresses
W20220429 01:51:13.621951  5268 rpc_client.cpp:190] LoadServer 10.7.155.237 Failed at 0 times error_code 14 error_message failed to connect to all addresses
W20220429 01:51:13.621861  5267 rpc_client.cpp:190] LoadServer 10.7.155.237 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: 3.05315 s *****
[rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86764, top1: 0.00129, throughput: 274.68 | 2022-04-29 01:53:02.238
[rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86769, top1: 0.00066, throughput: 274.67 | 2022-04-29 01:53:02.238
[rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86772, top1: 0.00102, throughput: 274.66 | 2022-04-29 01:53:02.239
[rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86798, top1: 0.00109, throughput: 274.67[rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86755, top1: 0.00082, throughput: 274.67 | 2022-04-29 01:53:02.239
 | 2022-04-29 01:53:02.238[rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86782, top1: 0.00109, throughput: 274.67 | 2022-04-29 01:53:02.238

[rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86790, top1: 0.00109, throughput: 274.67 | 2022-04-29 01:53:02.240
[rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86752, top1: 0.00105, throughput: 274.67 | 2022-04-29 01:53:02.238
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]
2022/04/29 01:53:02.588, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8494 MiB, 24016 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/29 01:53:02.588, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8494 MiB, 24016 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/29 01:53:02.588, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8494 MiB, 24016 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/29 01:53:02.589, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8494 MiB, 24016 MiB
2022/04/29 01:53:02.590, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8494 MiB, 24016 MiB
2022/04/29 01:53:02.594, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 8512 MiB, 23998 MiB
2022/04/29 01:53:02.594, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 8512 MiB, 23998 MiB
2022/04/29 01:53:02.594, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8494 MiB, 24016 MiB
2022/04/29 01:53:02.595, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 8512 MiB, 23998 MiB
2022/04/29 01:53:02.595, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8494 MiB, 24016 MiB
2022/04/29 01:53:02.595, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8494 MiB, 24016 MiB
2022/04/29 01:53:02.597, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 8512 MiB, 23998 MiB
2022/04/29 01:53:02.598, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8512 MiB, 23998 MiB
2022/04/29 01:53:02.602, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8684 MiB, 23826 MiB
2022/04/29 01:53:02.603, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8684 MiB, 23826 MiB
2022/04/29 01:53:02.604, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8512 MiB, 23998 MiB
2022/04/29 01:53:02.604, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8684 MiB, 23826 MiB
2022/04/29 01:53:02.605, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8512 MiB, 23998 MiB
2022/04/29 01:53:02.608, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8512 MiB, 23998 MiB
2022/04/29 01:53:02.608, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8684 MiB, 23826 MiB
2022/04/29 01:53:02.611, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8684 MiB, 23826 MiB
2022/04/29 01:53:02.615, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8582 MiB, 23928 MiB
2022/04/29 01:53:02.616, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8582 MiB, 23928 MiB
2022/04/29 01:53:02.616, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8684 MiB, 23826 MiB
2022/04/29 01:53:02.617, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8582 MiB, 23928 MiB
2022/04/29 01:53:02.617, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8684 MiB, 23826 MiB
2022/04/29 01:53:02.618, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8684 MiB, 23826 MiB
2022/04/29 01:53:02.619, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8582 MiB, 23928 MiB
2022/04/29 01:53:02.621, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8582 MiB, 23928 MiB
2022/04/29 01:53:02.625, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8632 MiB, 23878 MiB
2022/04/29 01:53:02.625, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8632 MiB, 23878 MiB
2022/04/29 01:53:02.626, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8582 MiB, 23928 MiB
2022/04/29 01:53:02.626, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8632 MiB, 23878 MiB
2022/04/29 01:53:02.627, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8582 MiB, 23928 MiB
2022/04/29 01:53:02.628, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8582 MiB, 23928 MiB
2022/04/29 01:53:02.628, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8632 MiB, 23878 MiB
2022/04/29 01:53:02.630, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8632 MiB, 23878 MiB
2022/04/29 01:53:02.634, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8458 MiB, 24052 MiB
2022/04/29 01:53:02.634, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8458 MiB, 24052 MiB
2022/04/29 01:53:02.635, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8632 MiB, 23878 MiB
2022/04/29 01:53:02.636, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8458 MiB, 24052 MiB
2022/04/29 01:53:02.636, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8632 MiB, 23878 MiB
2022/04/29 01:53:02.637, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8632 MiB, 23878 MiB
2022/04/29 01:53:02.638, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8458 MiB, 24052 MiB
2022/04/29 01:53:02.639, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8458 MiB, 24052 MiB
2022/04/29 01:53:02.643, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8308 MiB, 24202 MiB
2022/04/29 01:53:02.644, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8308 MiB, 24202 MiB
2022/04/29 01:53:02.645, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8458 MiB, 24052 MiB
2022/04/29 01:53:02.645, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8308 MiB, 24202 MiB
2022/04/29 01:53:02.645, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8458 MiB, 24052 MiB
2022/04/29 01:53:02.646, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8458 MiB, 24052 MiB
2022/04/29 01:53:02.647, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8308 MiB, 24202 MiB
2022/04/29 01:53:02.648, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8308 MiB, 24202 MiB
2022/04/29 01:53:02.653, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8546 MiB, 23964 MiB
2022/04/29 01:53:02.653, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8546 MiB, 23964 MiB
2022/04/29 01:53:02.654, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8308 MiB, 24202 MiB
2022/04/29 01:53:02.654, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8546 MiB, 23964 MiB
2022/04/29 01:53:02.655, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8308 MiB, 24202 MiB
2022/04/29 01:53:02.656, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8308 MiB, 24202 MiB
2022/04/29 01:53:02.656, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8546 MiB, 23964 MiB
2022/04/29 01:53:02.658, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8546 MiB, 23964 MiB
2022/04/29 01:53:02.663, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8546 MiB, 23964 MiB
2022/04/29 01:53:02.664, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8546 MiB, 23964 MiB
2022/04/29 01:53:02.665, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8546 MiB, 23964 MiB
[rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86760, top1: 0.00109, throughput: 379.34 | 2022-04-29 01:54:09.724
[rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86798, top1: 0.00125, throughput: 379.27 | 2022-04-29 01:54:09.736
[rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86773, top1: 0.00121, throughput: 379.27 | 2022-04-29 01:54:09.736
[rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86761, top1: 0.00090, throughput: 379.29 | 2022-04-29 01:54:09.733
[rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86745, top1: 0.00121, throughput: 379.25 | 2022-04-29 01:54:09.741
[rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86759, top1: 0.00082, throughput: 379.26 | 2022-04-29 01:54:09.741
[rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86797, top1: 0.00098, throughput: 379.28 | 2022-04-29 01:54:09.735
[rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86785, top1: 0.00066, throughput: 379.25 | 2022-04-29 01:54:09.741
[rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86829, top1: 0.00082, throughput: 380.25 | 2022-04-29 01:55:17.049
[rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86779, top1: 0.00125, throughput: 380.34 | 2022-04-29 01:55:17.050
[rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86771, top1: 0.00113, throughput: 380.31 | 2022-04-29 01:55:17.050
[rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86753, top1: 0.00086, throughput: 380.32 | 2022-04-29 01:55:17.049
[rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86762, top1: 0.00086, throughput: 380.29 | 2022-04-29 01:55:17.051
[rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86757, top1: 0.00121, throughput: 380.29 | 2022-04-29 01:55:17.051
[rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86800, top1: 0.00102, throughput: 380.33 | 2022-04-29 01:55:17.051
[rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86766, top1: 0.00121, throughput: 380.32 | 2022-04-29 01:55:17.052