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: /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
W20220510 02:11:35.081166  5269 rpc_client.cpp:190] LoadServer 10.7.63.128 Failed at 0 times error_code 14 error_message failed to connect to all addresses
W20220510 02:11:35.081223  5271 rpc_client.cpp:190] LoadServer 10.7.63.128 Failed at 0 times error_code 14 error_message failed to connect to all addresses
W20220510 02:11:35.080673  5270 rpc_client.cpp:190] LoadServer 10.7.63.128 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: 3.00315 s *****
[rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86724, top1: 0.00086, throughput: 274.34 | 2022-05-10 02:13:23.485
[rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86720, top1: 0.00074, throughput: 274.33 | 2022-05-10 02:13:23.488
[rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86713, top1: 0.00129, throughput: 274.33 | 2022-05-10 02:13:23.486
[rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86712, top1: 0.00078, throughput: 274.33 | 2022-05-10 02:13:23.489
[rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86725, top1: 0.00102, throughput: 274.34[rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86734, top1: 0.00090, throughput: 274.31 | 2022-05-10 02:13:23.487
 | 2022-05-10 02:13:23.487
[rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86774, top1: 0.00074, throughput: 274.32 | 2022-05-10 02:13:23.486
[rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86727, top1: 0.00059, throughput: 274.31 | 2022-05-10 02:13:23.486
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]
2022/05/10 02:13:23.820, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8470 MiB, 24040 MiB
2022/05/10 02:13:23.823, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8470 MiB, 24040 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]
2022/05/10 02:13:23.829, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8510 MiB, 24000 MiB
2022/05/10 02:13:23.833, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8510 MiB, 24000 MiB
2022/05/10 02:13:23.834, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8470 MiB, 24040 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/10 02:13:23.834, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8470 MiB, 24040 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/10 02:13:23.835, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8470 MiB, 24040 MiB
2022/05/10 02:13:23.836, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8470 MiB, 24040 MiB
2022/05/10 02:13:23.838, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8614 MiB, 23896 MiB
2022/05/10 02:13:23.840, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8614 MiB, 23896 MiB
2022/05/10 02:13:23.841, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 8510 MiB, 24000 MiB
2022/05/10 02:13:23.842, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8470 MiB, 24040 MiB
2022/05/10 02:13:23.843, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 8510 MiB, 24000 MiB
2022/05/10 02:13:23.844, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 8510 MiB, 24000 MiB
2022/05/10 02:13:23.843, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8470 MiB, 24040 MiB
2022/05/10 02:13:23.849, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 8510 MiB, 24000 MiB
2022/05/10 02:13:23.853, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8556 MiB, 23954 MiB
2022/05/10 02:13:23.855, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8556 MiB, 23954 MiB
2022/05/10 02:13:23.857, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8614 MiB, 23896 MiB
2022/05/10 02:13:23.858, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 8510 MiB, 24000 MiB
2022/05/10 02:13:23.859, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8614 MiB, 23896 MiB
2022/05/10 02:13:23.860, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8614 MiB, 23896 MiB
2022/05/10 02:13:23.860, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 8510 MiB, 24000 MiB
2022/05/10 02:13:23.861, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8614 MiB, 23896 MiB
2022/05/10 02:13:23.862, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8634 MiB, 23876 MiB
2022/05/10 02:13:23.865, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8634 MiB, 23876 MiB
2022/05/10 02:13:23.866, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8556 MiB, 23954 MiB
2022/05/10 02:13:23.868, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8614 MiB, 23896 MiB
2022/05/10 02:13:23.868, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8556 MiB, 23954 MiB
2022/05/10 02:13:23.869, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8556 MiB, 23954 MiB
2022/05/10 02:13:23.869, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8614 MiB, 23896 MiB
2022/05/10 02:13:23.870, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8556 MiB, 23954 MiB
2022/05/10 02:13:23.874, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8472 MiB, 24038 MiB
2022/05/10 02:13:23.876, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8472 MiB, 24038 MiB
2022/05/10 02:13:23.878, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8634 MiB, 23876 MiB
2022/05/10 02:13:23.879, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8556 MiB, 23954 MiB
2022/05/10 02:13:23.879, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8634 MiB, 23876 MiB
2022/05/10 02:13:23.881, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8634 MiB, 23876 MiB
2022/05/10 02:13:23.881, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8556 MiB, 23954 MiB
2022/05/10 02:13:23.881, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8634 MiB, 23876 MiB
2022/05/10 02:13:23.883, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8352 MiB, 24158 MiB
2022/05/10 02:13:23.885, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8352 MiB, 24158 MiB
2022/05/10 02:13:23.887, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8472 MiB, 24038 MiB
2022/05/10 02:13:23.888, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8634 MiB, 23876 MiB
2022/05/10 02:13:23.888, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8472 MiB, 24038 MiB
2022/05/10 02:13:23.890, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8472 MiB, 24038 MiB
2022/05/10 02:13:23.890, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8634 MiB, 23876 MiB
2022/05/10 02:13:23.890, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8472 MiB, 24038 MiB
2022/05/10 02:13:23.892, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8484 MiB, 24026 MiB
2022/05/10 02:13:23.894, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8484 MiB, 24026 MiB
2022/05/10 02:13:23.896, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8352 MiB, 24158 MiB
2022/05/10 02:13:23.897, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8472 MiB, 24038 MiB
2022/05/10 02:13:23.898, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8352 MiB, 24158 MiB
2022/05/10 02:13:23.899, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8352 MiB, 24158 MiB
2022/05/10 02:13:23.899, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8472 MiB, 24038 MiB
2022/05/10 02:13:23.900, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8352 MiB, 24158 MiB
2022/05/10 02:13:23.905, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8484 MiB, 24026 MiB
2022/05/10 02:13:23.907, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8352 MiB, 24158 MiB
2022/05/10 02:13:23.908, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8484 MiB, 24026 MiB
2022/05/10 02:13:23.909, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8484 MiB, 24026 MiB
2022/05/10 02:13:23.909, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8352 MiB, 24158 MiB
2022/05/10 02:13:23.910, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8484 MiB, 24026 MiB
2022/05/10 02:13:23.916, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8484 MiB, 24026 MiB
2022/05/10 02:13:23.918, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8484 MiB, 24026 MiB
[rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86707, top1: 0.00094, throughput: 380.72 | 2022-05-10 02:14:30.727
[rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86753, top1: 0.00070, throughput: 380.71 | 2022-05-10 02:14:30.727
[rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86721, top1: 0.00090, throughput: 380.72 | 2022-05-10 02:14:30.727
[rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86755, top1: 0.00070, throughput: 380.71 | 2022-05-10 02:14:30.728
[rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86737, top1: 0.00090, throughput: 380.72 | 2022-05-10 02:14:30.730
[rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86729, top1: 0.00109, throughput: 380.73 | 2022-05-10 02:14:30.727
[rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86723, top1: 0.00062, throughput: 380.72 | 2022-05-10 02:14:30.728
[rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86759, top1: 0.00086, throughput: 380.71 | 2022-05-10 02:14:30.728
[rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86715, top1: 0.00113, throughput: 379.64 | 2022-05-10 02:15:38.160
[rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86756, top1: 0.00070, throughput: 379.59 | 2022-05-10 02:15:38.168
[rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86760, top1: 0.00078, throughput: 379.59 | 2022-05-10 02:15:38.170
[rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86757, top1: 0.00078, throughput: 379.60 | 2022-05-10 02:15:38.168
[rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86758, top1: 0.00082, throughput: 379.59 | 2022-05-10 02:15:38.169
[rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86729, top1: 0.00082, throughput: 379.59 | 2022-05-10 02:15:38.169
[rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86729, top1: 0.00059, throughput: 379.59 | 2022-05-10 02:15:38.169
[rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86696, top1: 0.00098, throughput: 379.59 | 2022-05-10 02:15:38.169