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: /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
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
W20220503 02:14:02.966465  6891 rpc_client.cpp:190] LoadServer 10.7.164.156 Failed at 0 times error_code 14 error_message failed to connect to all addresses
W20220503 02:14:02.967324  6893 rpc_client.cpp:190] LoadServer 10.7.164.156 Failed at 0 times error_code 14 error_message failed to connect to all addresses
W20220503 02:14:02.967368  6896 rpc_client.cpp:190] LoadServer 10.7.164.156 Failed at 0 times error_code 14 error_message failed to connect to all addresses
------------------------ arguments ------------------------
  batches_per_epoch ............................... 625
  channel_last .................................... False
  ddp ............................................. True
  exit_num ........................................ 300
  fuse_bn_add_relu ................................ False
  fuse_bn_relu .................................... False
  gpu_stat_file ................................... None
  grad_clipping ................................... 0.0
  graph ........................................... False
  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 ...................................... False
  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: 2.83776 s *****
[rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86709, lr: 0.000000, top1: 0.00066, throughput: 276.11 | 2022-05-03 02:15:50.671
[rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86733, lr: 0.000000, top1: 0.00098, throughput: 276.14 | 2022-05-03 02:15:50.674
[rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86723, lr: 0.000000, top1: 0.00078, throughput: 276.04 | 2022-05-03 02:15:50.718
[rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86737, lr: 0.000000, top1: 0.00074, throughput: 275.88 | 2022-05-03 02:15:50.734
[rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86712, lr: 0.000000, top1: 0.00051, throughput: 276.15 | 2022-05-03 02:15:50.650
[rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86735, lr: 0.000000, top1: 0.00051, throughput: 276.12 | 2022-05-03 02:15:50.656
[rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86698, lr: 0.000000, top1: 0.00094, throughput: 275.77 | 2022-05-03 02:15:50.766
[rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86715, lr: 0.000000, top1: 0.00070, throughput: 275.93 | 2022-05-03 02:15:50.797
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]
2022/05/03 02:15:50.818, Tesla V100-SXM2-32GB, 470.57.02, 24 %, 16 %, 32510 MiB, 5094 MiB, 27416 MiB
2022/05/03 02:15:50.819, Tesla V100-SXM2-32GB, 470.57.02, 24 %, 16 %, 32510 MiB, 5094 MiB, 27416 MiB
2022/05/03 02:15:50.823, Tesla V100-SXM2-32GB, 470.57.02, 51 %, 36 %, 32510 MiB, 5114 MiB, 27396 MiB
2022/05/03 02:15:50.824, Tesla V100-SXM2-32GB, 470.57.02, 51 %, 36 %, 32510 MiB, 5114 MiB, 27396 MiB
2022/05/03 02:15:50.828, Tesla V100-SXM2-32GB, 470.57.02, 43 %, 31 %, 32510 MiB, 5190 MiB, 27320 MiB
2022/05/03 02:15:50.828, Tesla V100-SXM2-32GB, 470.57.02, 43 %, 31 %, 32510 MiB, 5190 MiB, 27320 MiB
2022/05/03 02:15:50.833, Tesla V100-SXM2-32GB, 470.57.02, 35 %, 13 %, 32510 MiB, 5166 MiB, 27344 MiB
2022/05/03 02:15:50.834, Tesla V100-SXM2-32GB, 470.57.02, 35 %, 13 %, 32510 MiB, 5166 MiB, 27344 MiB
2022/05/03 02:15:50.838, Tesla V100-SXM2-32GB, 470.57.02, 63 %, 40 %, 32510 MiB, 5174 MiB, 27336 MiB
2022/05/03 02:15:50.839, Tesla V100-SXM2-32GB, 470.57.02, 63 %, 40 %, 32510 MiB, 5174 MiB, 27336 MiB
2022/05/03 02:15:50.843, Tesla V100-SXM2-32GB, 470.57.02, 41 %, 30 %, 32510 MiB, 5106 MiB, 27404 MiB
2022/05/03 02:15:50.844, Tesla V100-SXM2-32GB, 470.57.02, 41 %, 30 %, 32510 MiB, 5106 MiB, 27404 MiB
2022/05/03 02:15:50.846, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 8 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/03 02:15:50.846, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 8 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/03 02:15:50.849, Tesla V100-SXM2-32GB, 470.57.02, 86 %, 8 %, 32510 MiB, 5130 MiB, 27380 MiB
2022/05/03 02:15:50.850, Tesla V100-SXM2-32GB, 470.57.02, 86 %, 8 %, 32510 MiB, 5130 MiB, 27380 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/03 02:15:50.910, Tesla V100-SXM2-32GB, 470.57.02, 74 %, 41 %, 32510 MiB, 5094 MiB, 27416 MiB
2022/05/03 02:15:50.915, Tesla V100-SXM2-32GB, 470.57.02, 5 %, 0 %, 32510 MiB, 5114 MiB, 27396 MiB
2022/05/03 02:15:50.919, Tesla V100-SXM2-32GB, 470.57.02, 79 %, 42 %, 32510 MiB, 5190 MiB, 27320 MiB
2022/05/03 02:15:50.923, Tesla V100-SXM2-32GB, 470.57.02, 86 %, 44 %, 32510 MiB, 5166 MiB, 27344 MiB
2022/05/03 02:15:50.928, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 32 %, 32510 MiB, 5174 MiB, 27336 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/03 02:15:50.933, Tesla V100-SXM2-32GB, 470.57.02, 82 %, 47 %, 32510 MiB, 5106 MiB, 27404 MiB
2022/05/03 02:15:50.941, Tesla V100-SXM2-32GB, 470.57.02, 74 %, 41 %, 32510 MiB, 5094 MiB, 27416 MiB
2022/05/03 02:15:50.943, Tesla V100-SXM2-32GB, 470.57.02, 69 %, 39 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/03 02:15:50.953, Tesla V100-SXM2-32GB, 470.57.02, 5 %, 0 %, 32510 MiB, 5114 MiB, 27396 MiB
2022/05/03 02:15:50.954, Tesla V100-SXM2-32GB, 470.57.02, 86 %, 8 %, 32510 MiB, 5130 MiB, 27380 MiB
2022/05/03 02:15:50.965, Tesla V100-SXM2-32GB, 470.57.02, 79 %, 41 %, 32510 MiB, 5190 MiB, 27320 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/03 02:15:50.982, Tesla V100-SXM2-32GB, 470.57.02, 86 %, 44 %, 32510 MiB, 5166 MiB, 27344 MiB
2022/05/03 02:15:50.983, Tesla V100-SXM2-32GB, 470.57.02, 74 %, 40 %, 32510 MiB, 5094 MiB, 27416 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]
2022/05/03 02:15:50.992, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 81 %, 32510 MiB, 5174 MiB, 27336 MiB
2022/05/03 02:15:51.014, Tesla V100-SXM2-32GB, 470.57.02, 59 %, 52 %, 32510 MiB, 5114 MiB, 27396 MiB
2022/05/03 02:15:51.015, Tesla V100-SXM2-32GB, 470.57.02, 74 %, 40 %, 32510 MiB, 5094 MiB, 27416 MiB
2022/05/03 02:15:51.015, Tesla V100-SXM2-32GB, 470.57.02, 74 %, 40 %, 32510 MiB, 5094 MiB, 27416 MiB
2022/05/03 02:15:51.034, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 78 %, 32510 MiB, 5106 MiB, 27404 MiB
2022/05/03 02:15:51.036, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5190 MiB, 27320 MiB
2022/05/03 02:15:51.040, Tesla V100-SXM2-32GB, 470.57.02, 59 %, 52 %, 32510 MiB, 5114 MiB, 27396 MiB
2022/05/03 02:15:51.040, Tesla V100-SXM2-32GB, 470.57.02, 59 %, 52 %, 32510 MiB, 5114 MiB, 27396 MiB
2022/05/03 02:15:51.055, Tesla V100-SXM2-32GB, 470.57.02, 69 %, 39 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/03 02:15:51.059, Tesla V100-SXM2-32GB, 470.57.02, 86 %, 43 %, 32510 MiB, 5166 MiB, 27344 MiB
2022/05/03 02:15:51.060, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5190 MiB, 27320 MiB
2022/05/03 02:15:51.060, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5190 MiB, 27320 MiB
2022/05/03 02:15:51.062, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 85 %, 32510 MiB, 5130 MiB, 27380 MiB
2022/05/03 02:15:51.073, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 81 %, 32510 MiB, 5174 MiB, 27336 MiB
2022/05/03 02:15:51.074, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 78 %, 32510 MiB, 5166 MiB, 27344 MiB
2022/05/03 02:15:51.074, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 78 %, 32510 MiB, 5166 MiB, 27344 MiB
2022/05/03 02:15:51.093, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 78 %, 32510 MiB, 5106 MiB, 27404 MiB
2022/05/03 02:15:51.094, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 81 %, 32510 MiB, 5174 MiB, 27336 MiB
2022/05/03 02:15:51.094, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 81 %, 32510 MiB, 5174 MiB, 27336 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/03 02:15:51.101, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 78 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/03 02:15:51.102, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 78 %, 32510 MiB, 5106 MiB, 27404 MiB
2022/05/03 02:15:51.102, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 78 %, 32510 MiB, 5106 MiB, 27404 MiB
2022/05/03 02:15:51.109, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 79 %, 32510 MiB, 5094 MiB, 27416 MiB
2022/05/03 02:15:51.111, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 85 %, 32510 MiB, 5130 MiB, 27380 MiB
2022/05/03 02:15:51.112, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 78 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/03 02:15:51.113, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 78 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/03 02:15:51.115, Tesla V100-SXM2-32GB, 470.57.02, 59 %, 52 %, 32510 MiB, 5114 MiB, 27396 MiB
2022/05/03 02:15:51.120, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 85 %, 32510 MiB, 5130 MiB, 27380 MiB
2022/05/03 02:15:51.120, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 85 %, 32510 MiB, 5130 MiB, 27380 MiB
2022/05/03 02:15:51.130, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5190 MiB, 27320 MiB
2022/05/03 02:15:51.136, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 78 %, 32510 MiB, 5166 MiB, 27344 MiB
2022/05/03 02:15:51.157, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 81 %, 32510 MiB, 5174 MiB, 27336 MiB
2022/05/03 02:15:51.168, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 78 %, 32510 MiB, 5106 MiB, 27404 MiB
2022/05/03 02:15:51.176, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 78 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/03 02:15:51.188, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 5130 MiB, 27380 MiB
[rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86729, lr: 0.000000, top1: 0.00082, throughput: 293.61 | 2022-05-03 02:17:17.909
[rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86735, lr: 0.000000, top1: 0.00105, throughput: 293.18 | 2022-05-03 02:17:17.968
[rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86743, lr: 0.000000, top1: 0.00055, throughput: 293.57 | 2022-05-03 02:17:17.968
[rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86732, lr: 0.000000, top1: 0.00078, throughput: 293.23 | 2022-05-03 02:17:17.974
[rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86745, lr: 0.000000, top1: 0.00074, throughput: 293.23 | 2022-05-03 02:17:17.977
[rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86746, lr: 0.000000, top1: 0.00074, throughput: 293.14 | 2022-05-03 02:17:17.986
[rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86741, lr: 0.000000, top1: 0.00082, throughput: 293.37 | 2022-05-03 02:17:17.995
[rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86755, lr: 0.000000, top1: 0.00066, throughput: 293.47 | 2022-05-03 02:17:18.029
[rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86731, lr: 0.000000, top1: 0.00031, throughput: 295.22 | 2022-05-03 02:18:44.623
[rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86723, lr: 0.000000, top1: 0.00055, throughput: 295.53 | 2022-05-03 02:18:44.654
[rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86721, lr: 0.000000, top1: 0.00070, throughput: 295.26 | 2022-05-03 02:18:44.677
[rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86749, lr: 0.000000, top1: 0.00059, throughput: 295.51 | 2022-05-03 02:18:44.597
[rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86718, lr: 0.000000, top1: 0.00055, throughput: 295.30 | 2022-05-03 02:18:44.687
[rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86719, lr: 0.000000, top1: 0.00059, throughput: 295.54 | 2022-05-03 02:18:44.608
[rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86720, lr: 0.000000, top1: 0.00102, throughput: 295.45 | 2022-05-03 02:18:44.617
[rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86732, lr: 0.000000, top1: 0.00062, throughput: 295.51 | 2022-05-03 02:18:44.607