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: /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
------------------------ 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: 2.76024 s *****
[rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86746, lr: 0.000000, top1: 0.00086, throughput: 275.48 | 2022-05-02 02:14:22.479
[rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86748, lr: 0.000000, top1: 0.00082, throughput: 275.72 | 2022-05-02 02:14:22.479
[rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86776, lr: 0.000000, top1: 0.00141, throughput: 275.33 | 2022-05-02 02:14:22.512
[rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86764, lr: 0.000000, top1: 0.00113, throughput: 275.37 | 2022-05-02 02:14:22.518
[rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86786, lr: 0.000000, top1: 0.00102, throughput: 275.90 | 2022-05-02 02:14:22.431
[rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86711, lr: 0.000000, top1: 0.00121, throughput: 275.47 | 2022-05-02 02:14:22.519
[rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86763, lr: 0.000000, top1: 0.00102, throughput: 275.37 | 2022-05-02 02:14:22.527
[rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86764, lr: 0.000000, top1: 0.00102, throughput: 275.57 | 2022-05-02 02:14:22.439
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/02 02:14:22.670, Tesla V100-SXM2-32GB, 470.57.02, 27 %, 13 %, 32510 MiB, 5094 MiB, 27416 MiB
2022/05/02 02:14:22.674, Tesla V100-SXM2-32GB, 470.57.02, 47 %, 8 %, 32510 MiB, 5114 MiB, 27396 MiB
2022/05/02 02:14:22.681, Tesla V100-SXM2-32GB, 470.57.02, 47 %, 28 %, 32510 MiB, 5190 MiB, 27320 MiB
2022/05/02 02:14:22.687, Tesla V100-SXM2-32GB, 470.57.02, 22 %, 0 %, 32510 MiB, 5166 MiB, 27344 MiB
2022/05/02 02:14:22.693, Tesla V100-SXM2-32GB, 470.57.02, 61 %, 24 %, 32510 MiB, 5174 MiB, 27336 MiB
2022/05/02 02:14:22.696, Tesla V100-SXM2-32GB, 470.57.02, 16 %, 0 %, 32510 MiB, 5106 MiB, 27404 MiB
2022/05/02 02:14:22.702, Tesla V100-SXM2-32GB, 470.57.02, 27 %, 8 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/02 02:14:22.709, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 0 %, 32510 MiB, 5130 MiB, 27380 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/02 02:14:22.727, Tesla V100-SXM2-32GB, 470.57.02, 27 %, 13 %, 32510 MiB, 5094 MiB, 27416 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/02 02:14:22.735, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5114 MiB, 27396 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/02 02:14:22.742, Tesla V100-SXM2-32GB, 470.57.02, 27 %, 13 %, 32510 MiB, 5094 MiB, 27416 MiB
2022/05/02 02:14:22.744, Tesla V100-SXM2-32GB, 470.57.02, 47 %, 28 %, 32510 MiB, 5190 MiB, 27320 MiB
2022/05/02 02:14:22.752, Tesla V100-SXM2-32GB, 470.57.02, 27 %, 13 %, 32510 MiB, 5094 MiB, 27416 MiB
2022/05/02 02:14:22.753, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5114 MiB, 27396 MiB
2022/05/02 02:14:22.760, Tesla V100-SXM2-32GB, 470.57.02, 22 %, 0 %, 32510 MiB, 5166 MiB, 27344 MiB
2022/05/02 02:14:22.771, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5114 MiB, 27396 MiB
2022/05/02 02:14:22.780, Tesla V100-SXM2-32GB, 470.57.02, 47 %, 27 %, 32510 MiB, 5190 MiB, 27320 MiB
2022/05/02 02:14:22.781, Tesla V100-SXM2-32GB, 470.57.02, 61 %, 24 %, 32510 MiB, 5174 MiB, 27336 MiB
2022/05/02 02:14:22.798, Tesla V100-SXM2-32GB, 470.57.02, 47 %, 27 %, 32510 MiB, 5190 MiB, 27320 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]
2022/05/02 02:14:22.799, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 5166 MiB, 27344 MiB
2022/05/02 02:14:22.801, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 88 %, 32510 MiB, 5106 MiB, 27404 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/02 02:14:22.813, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 5166 MiB, 27344 MiB
2022/05/02 02:14:22.815, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 84 %, 32510 MiB, 5174 MiB, 27336 MiB
2022/05/02 02:14:22.814, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 5094 MiB, 27416 MiB
2022/05/02 02:14:22.814, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 5094 MiB, 27416 MiB
2022/05/02 02:14:22.814, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 5094 MiB, 27416 MiB
2022/05/02 02:14:22.816, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/02 02:14:22.823, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 5094 MiB, 27416 MiB
2022/05/02 02:14:22.843, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 84 %, 32510 MiB, 5174 MiB, 27336 MiB
2022/05/02 02:14:22.845, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 87 %, 32510 MiB, 5106 MiB, 27404 MiB
2022/05/02 02:14:22.845, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5114 MiB, 27396 MiB
2022/05/02 02:14:22.845, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5114 MiB, 27396 MiB
2022/05/02 02:14:22.853, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5114 MiB, 27396 MiB
2022/05/02 02:14:22.859, Tesla V100-SXM2-32GB, 470.57.02, 90 %, 76 %, 32510 MiB, 5130 MiB, 27380 MiB
2022/05/02 02:14:22.862, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 55 %, 32510 MiB, 5114 MiB, 27396 MiB
2022/05/02 02:14:22.864, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 87 %, 32510 MiB, 5106 MiB, 27404 MiB
2022/05/02 02:14:22.870, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/02 02:14:22.873, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 83 %, 32510 MiB, 5190 MiB, 27320 MiB
2022/05/02 02:14:22.874, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 83 %, 32510 MiB, 5190 MiB, 27320 MiB
2022/05/02 02:14:22.874, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 83 %, 32510 MiB, 5190 MiB, 27320 MiB
2022/05/02 02:14:22.883, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 83 %, 32510 MiB, 5190 MiB, 27320 MiB
2022/05/02 02:14:22.885, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/02 02:14:22.894, Tesla V100-SXM2-32GB, 470.57.02, 90 %, 76 %, 32510 MiB, 5130 MiB, 27380 MiB
2022/05/02 02:14:22.894, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5166 MiB, 27344 MiB
2022/05/02 02:14:22.894, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5166 MiB, 27344 MiB
2022/05/02 02:14:22.894, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5166 MiB, 27344 MiB
2022/05/02 02:14:22.900, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5166 MiB, 27344 MiB
2022/05/02 02:14:22.902, Tesla V100-SXM2-32GB, 470.57.02, 90 %, 76 %, 32510 MiB, 5130 MiB, 27380 MiB
2022/05/02 02:14:22.904, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 84 %, 32510 MiB, 5174 MiB, 27336 MiB
2022/05/02 02:14:22.904, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 84 %, 32510 MiB, 5174 MiB, 27336 MiB
2022/05/02 02:14:22.905, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 84 %, 32510 MiB, 5174 MiB, 27336 MiB
2022/05/02 02:14:22.920, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 84 %, 32510 MiB, 5174 MiB, 27336 MiB
2022/05/02 02:14:22.924, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 87 %, 32510 MiB, 5106 MiB, 27404 MiB
2022/05/02 02:14:22.924, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 87 %, 32510 MiB, 5106 MiB, 27404 MiB
2022/05/02 02:14:22.924, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 56 %, 32510 MiB, 5106 MiB, 27404 MiB
2022/05/02 02:14:22.934, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 56 %, 32510 MiB, 5106 MiB, 27404 MiB
2022/05/02 02:14:22.940, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/02 02:14:22.940, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/02 02:14:22.951, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/02 02:14:22.958, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 5050 MiB, 27460 MiB
2022/05/02 02:14:22.962, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 5130 MiB, 27380 MiB
2022/05/02 02:14:22.962, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 5130 MiB, 27380 MiB
2022/05/02 02:14:22.962, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 5130 MiB, 27380 MiB
2022/05/02 02:14:22.965, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 5130 MiB, 27380 MiB
[rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86764, lr: 0.000000, top1: 0.00059, throughput: 293.98 | 2022-05-02 02:15:49.591
[rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86792, lr: 0.000000, top1: 0.00109, throughput: 293.74 | 2022-05-02 02:15:49.592
[rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86739, lr: 0.000000, top1: 0.00090, throughput: 293.81 | 2022-05-02 02:15:49.609
[rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86769, lr: 0.000000, top1: 0.00113, throughput: 293.93 | 2022-05-02 02:15:49.614
[rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86783, lr: 0.000000, top1: 0.00109, throughput: 293.78 | 2022-05-02 02:15:49.620
[rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86766, lr: 0.000000, top1: 0.00102, throughput: 293.85 | 2022-05-02 02:15:49.638
[rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86784, lr: 0.000000, top1: 0.00086, throughput: 293.51 | 2022-05-02 02:15:49.652
[rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86765, lr: 0.000000, top1: 0.00094, throughput: 293.81 | 2022-05-02 02:15:49.658
[rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86746, lr: 0.000000, top1: 0.00086, throughput: 294.65 | 2022-05-02 02:17:16.476
[rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86776, lr: 0.000000, top1: 0.00062, throughput: 294.67 | 2022-05-02 02:17:16.485
[rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86769, lr: 0.000000, top1: 0.00121, throughput: 294.70 | 2022-05-02 02:17:16.487
[rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86754, lr: 0.000000, top1: 0.00113, throughput: 294.63 | 2022-05-02 02:17:16.502
[rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86763, lr: 0.000000, top1: 0.00090, throughput: 294.61 | 2022-05-02 02:17:16.533
[rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86769, lr: 0.000000, top1: 0.00105, throughput: 294.64 | 2022-05-02 02:17:16.539
[rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86761, lr: 0.000000, top1: 0.00109, throughput: 294.65 | 2022-05-02 02:17:16.542
[rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86780, lr: 0.000000, top1: 0.00043, throughput: 294.35 | 2022-05-02 02:17:16.563