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: /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
W20220512 02:16:59.841042  6891 rpc_client.cpp:190] LoadServer 10.7.58.255 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: 2.83096 s *****
[rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86778, lr: 0.000000, top1: 0.00121, throughput: 276.34 | 2022-05-12 02:18:47.670
[rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86785, lr: 0.000000, top1: 0.00098, throughput: 276.17 | 2022-05-12 02:18:47.698
[rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86761, lr: 0.000000, top1: 0.00145, throughput: 276.29 | 2022-05-12 02:18:47.714
[rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86771, lr: 0.000000, top1: 0.00117, throughput: 276.24 | 2022-05-12 02:18:47.717
[rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86779, lr: 0.000000, top1: 0.00113, throughput: 276.00 | 2022-05-12 02:18:47.736
[rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86760, lr: 0.000000, top1: 0.00125, throughput: 276.12 | 2022-05-12 02:18:47.747
[rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86789, lr: 0.000000, top1: 0.00172, throughput: 276.15 | 2022-05-12 02:18:47.752
[rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86780, lr: 0.000000, top1: 0.00137, throughput: 276.31 | 2022-05-12 02:18:47.663
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/12 02:18:47.797, Tesla V100-SXM2-32GB, 470.57.02, 48 %, 34 %, 32510 MiB, 5094 MiB, 27416 MiB
2022/05/12 02:18:47.801, Tesla V100-SXM2-32GB, 470.57.02, 34 %, 0 %, 32510 MiB, 5114 MiB, 27396 MiB
2022/05/12 02:18:47.807, Tesla V100-SXM2-32GB, 470.57.02, 75 %, 52 %, 32510 MiB, 5190 MiB, 27320 MiB
2022/05/12 02:18:47.810, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 14 %, 32510 MiB, 5166 MiB, 27344 MiB
2022/05/12 02:18:47.812, Tesla V100-SXM2-32GB, 470.57.02, 23 %, 16 %, 32510 MiB, 5174 MiB, 27336 MiB
2022/05/12 02:18:47.817, Tesla V100-SXM2-32GB, 470.57.02, 44 %, 32 %, 32510 MiB, 5106 MiB, 27404 MiB
2022/05/12 02:18:47.822, Tesla V100-SXM2-32GB, 470.57.02, 31 %, 7 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/12 02:18:47.827, Tesla V100-SXM2-32GB, 470.57.02, 47 %, 33 %, 32510 MiB, 5130 MiB, 27380 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/12 02:18:47.872, Tesla V100-SXM2-32GB, 470.57.02, 38 %, 18 %, 32510 MiB, 5094 MiB, 27416 MiB
2022/05/12 02:18:47.876, Tesla V100-SXM2-32GB, 470.57.02, 34 %, 0 %, 32510 MiB, 5114 MiB, 27396 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/12 02:18:47.879, Tesla V100-SXM2-32GB, 470.57.02, 18 %, 2 %, 32510 MiB, 5190 MiB, 27320 MiB
2022/05/12 02:18:47.881, Tesla V100-SXM2-32GB, 470.57.02, 38 %, 18 %, 32510 MiB, 5094 MiB, 27416 MiB
2022/05/12 02:18:47.884, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 14 %, 32510 MiB, 5166 MiB, 27344 MiB
2022/05/12 02:18:47.886, Tesla V100-SXM2-32GB, 470.57.02, 34 %, 0 %, 32510 MiB, 5114 MiB, 27396 MiB
2022/05/12 02:18:47.889, Tesla V100-SXM2-32GB, 470.57.02, 23 %, 16 %, 32510 MiB, 5174 MiB, 27336 MiB
2022/05/12 02:18:47.892, Tesla V100-SXM2-32GB, 470.57.02, 18 %, 2 %, 32510 MiB, 5190 MiB, 27320 MiB
2022/05/12 02:18:47.894, Tesla V100-SXM2-32GB, 470.57.02, 19 %, 0 %, 32510 MiB, 5106 MiB, 27404 MiB
2022/05/12 02:18:47.897, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 14 %, 32510 MiB, 5166 MiB, 27344 MiB
2022/05/12 02:18:47.899, Tesla V100-SXM2-32GB, 470.57.02, 31 %, 7 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/12 02:18:47.902, Tesla V100-SXM2-32GB, 470.57.02, 21 %, 12 %, 32510 MiB, 5174 MiB, 27336 MiB
2022/05/12 02:18:47.909, Tesla V100-SXM2-32GB, 470.57.02, 61 %, 14 %, 32510 MiB, 5130 MiB, 27380 MiB
2022/05/12 02:18:47.913, Tesla V100-SXM2-32GB, 470.57.02, 19 %, 0 %, 32510 MiB, 5106 MiB, 27404 MiB
2022/05/12 02:18:47.919, Tesla V100-SXM2-32GB, 470.57.02, 31 %, 7 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/12 02:18:47.925, Tesla V100-SXM2-32GB, 470.57.02, 61 %, 14 %, 32510 MiB, 5130 MiB, 27380 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/12 02:18:47.950, Tesla V100-SXM2-32GB, 470.57.02, 38 %, 18 %, 32510 MiB, 5094 MiB, 27416 MiB
2022/05/12 02:18:47.958, Tesla V100-SXM2-32GB, 470.57.02, 79 %, 70 %, 32510 MiB, 5114 MiB, 27396 MiB
2022/05/12 02:18:47.963, Tesla V100-SXM2-32GB, 470.57.02, 18 %, 2 %, 32510 MiB, 5190 MiB, 27320 MiB
2022/05/12 02:18:47.974, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 81 %, 32510 MiB, 5166 MiB, 27344 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]
2022/05/12 02:18:47.978, Tesla V100-SXM2-32GB, 470.57.02, 21 %, 12 %, 32510 MiB, 5174 MiB, 27336 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/12 02:18:47.982, Tesla V100-SXM2-32GB, 470.57.02, 38 %, 18 %, 32510 MiB, 5094 MiB, 27416 MiB
2022/05/12 02:18:47.983, Tesla V100-SXM2-32GB, 470.57.02, 38 %, 18 %, 32510 MiB, 5094 MiB, 27416 MiB
2022/05/12 02:18:47.983, Tesla V100-SXM2-32GB, 470.57.02, 38 %, 18 %, 32510 MiB, 5094 MiB, 27416 MiB
2022/05/12 02:18:47.996, Tesla V100-SXM2-32GB, 470.57.02, 19 %, 0 %, 32510 MiB, 5106 MiB, 27404 MiB
2022/05/12 02:18:47.997, Tesla V100-SXM2-32GB, 470.57.02, 38 %, 18 %, 32510 MiB, 5094 MiB, 27416 MiB
2022/05/12 02:18:48.000, Tesla V100-SXM2-32GB, 470.57.02, 79 %, 70 %, 32510 MiB, 5114 MiB, 27396 MiB
2022/05/12 02:18:48.001, Tesla V100-SXM2-32GB, 470.57.02, 79 %, 70 %, 32510 MiB, 5114 MiB, 27396 MiB
2022/05/12 02:18:48.001, Tesla V100-SXM2-32GB, 470.57.02, 79 %, 70 %, 32510 MiB, 5114 MiB, 27396 MiB
2022/05/12 02:18:48.004, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 66 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/12 02:18:48.014, Tesla V100-SXM2-32GB, 470.57.02, 79 %, 70 %, 32510 MiB, 5114 MiB, 27396 MiB
2022/05/12 02:18:48.020, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 5190 MiB, 27320 MiB
2022/05/12 02:18:48.021, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 5190 MiB, 27320 MiB
2022/05/12 02:18:48.021, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 5190 MiB, 27320 MiB
2022/05/12 02:18:48.025, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5130 MiB, 27380 MiB
2022/05/12 02:18:48.026, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 5190 MiB, 27320 MiB
2022/05/12 02:18:48.036, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 81 %, 32510 MiB, 5166 MiB, 27344 MiB
2022/05/12 02:18:48.045, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 81 %, 32510 MiB, 5166 MiB, 27344 MiB
2022/05/12 02:18:48.046, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 81 %, 32510 MiB, 5166 MiB, 27344 MiB
2022/05/12 02:18:48.071, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 81 %, 32510 MiB, 5166 MiB, 27344 MiB
2022/05/12 02:18:48.074, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5174 MiB, 27336 MiB
2022/05/12 02:18:48.075, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5174 MiB, 27336 MiB
2022/05/12 02:18:48.075, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5174 MiB, 27336 MiB
2022/05/12 02:18:48.085, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 85 %, 32510 MiB, 5174 MiB, 27336 MiB
2022/05/12 02:18:48.086, Tesla V100-SXM2-32GB, 470.57.02, 85 %, 76 %, 32510 MiB, 5106 MiB, 27404 MiB
2022/05/12 02:18:48.094, Tesla V100-SXM2-32GB, 470.57.02, 85 %, 76 %, 32510 MiB, 5106 MiB, 27404 MiB
2022/05/12 02:18:48.095, Tesla V100-SXM2-32GB, 470.57.02, 85 %, 76 %, 32510 MiB, 5106 MiB, 27404 MiB
2022/05/12 02:18:48.103, Tesla V100-SXM2-32GB, 470.57.02, 85 %, 76 %, 32510 MiB, 5106 MiB, 27404 MiB
2022/05/12 02:18:48.104, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 70 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/12 02:18:48.105, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 70 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/12 02:18:48.105, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 70 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/12 02:18:48.114, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 70 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/12 02:18:48.115, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5130 MiB, 27380 MiB
2022/05/12 02:18:48.116, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5130 MiB, 27380 MiB
2022/05/12 02:18:48.116, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5130 MiB, 27380 MiB
2022/05/12 02:18:48.126, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5130 MiB, 27380 MiB
[rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86793, lr: 0.000000, top1: 0.00098, throughput: 295.00 | 2022-05-12 02:20:14.527
[rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86786, lr: 0.000000, top1: 0.00098, throughput: 294.89 | 2022-05-12 02:20:14.548
[rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86768, lr: 0.000000, top1: 0.00117, throughput: 294.91 | 2022-05-12 02:20:14.559
[rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86782, lr: 0.000000, top1: 0.00137, throughput: 294.59 | 2022-05-12 02:20:14.564
[rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86782, lr: 0.000000, top1: 0.00113, throughput: 294.74 | 2022-05-12 02:20:14.573
[rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86780, lr: 0.000000, top1: 0.00113, throughput: 294.79 | 2022-05-12 02:20:14.512
[rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86806, lr: 0.000000, top1: 0.00141, throughput: 294.65 | 2022-05-12 02:20:14.597
[rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86784, lr: 0.000000, top1: 0.00117, throughput: 294.49 | 2022-05-12 02:20:14.627
[rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86773, lr: 0.000000, top1: 0.00164, throughput: 296.11 | 2022-05-12 02:21:41.019
[rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86793, lr: 0.000000, top1: 0.00117, throughput: 296.14 | 2022-05-12 02:21:41.042
[rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86760, lr: 0.000000, top1: 0.00152, throughput: 295.86 | 2022-05-12 02:21:41.053
[rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86768, lr: 0.000000, top1: 0.00102, throughput: 295.87 | 2022-05-12 02:21:41.073
[rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86759, lr: 0.000000, top1: 0.00105, throughput: 296.13 | 2022-05-12 02:21:41.075
[rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86752, lr: 0.000000, top1: 0.00133, throughput: 295.92 | 2022-05-12 02:21:41.083
[rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86781, lr: 0.000000, top1: 0.00121, throughput: 295.93 | 2022-05-12 02:21:41.020
[rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86741, lr: 0.000000, top1: 0.00141, throughput: 295.68 | 2022-05-12 02:21:41.139