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: /usr/lib/x86_64-linux-gnu/libibverbs.so.1/usr/lib/x86_64-linux-gnu/libibverbs.so.1

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: 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

------------------------ arguments ------------------------
  batches_per_epoch ............................... 312
  channel_last .................................... True
  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 ................................... 4.096
  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 ................................ 512
  train_global_batch_size ......................... 4096
  use_fp16 ........................................ True
  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: 2.81589 s *****
[rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86761, top1: 0.00070, throughput: 446.94 | 2022-04-10 22:46:56.375
[rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86759, top1: 0.00082, throughput: 446.91 | 2022-04-10 22:46:56.378
[rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86735, top1: 0.00102, throughput: 446.88 | 2022-04-10 22:46:56.379
[rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86739, top1: 0.00102, throughput: 446.94 | 2022-04-10 22:46:56.378
[rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86734, top1: 0.00086, throughput: 446.88 | 2022-04-10 22:46:56.380
[rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86747, top1: 0.00086, throughput: 446.90 | 2022-04-10 22:46:56.378
[rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86758, top1: 0.00088, throughput: 446.92 | 2022-04-10 22:46:56.376
[rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86761, top1: 0.00084, throughput: 446.89 | 2022-04-10 22:46:56.380
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]
2022/04/10 22:46:56.794, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8525 MiB, 23985 MiB
2022/04/10 22:46:56.795, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8525 MiB, 23985 MiB
2022/04/10 22:46:56.795, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8525 MiB, 23985 MiB
2022/04/10 22:46:56.815, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8525 MiB, 23985 MiB
2022/04/10 22:46:56.831, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8554 MiB, 23956 MiB
2022/04/10 22:46:56.832, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8554 MiB, 23956 MiB
2022/04/10 22:46:56.832, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8554 MiB, 23956 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/10 22:46:56.835, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8554 MiB, 23956 MiB
2022/04/10 22:46:56.853, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 57 %, 32510 MiB, 8686 MiB, 23824 MiB
2022/04/10 22:46:56.854, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 57 %, 32510 MiB, 8686 MiB, 23824 MiB
2022/04/10 22:46:56.854, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 57 %, 32510 MiB, 8686 MiB, 23824 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]
2022/04/10 22:46:56.855, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8525 MiB, 23985 MiB
2022/04/10 22:46:56.857, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 57 %, 32510 MiB, 8686 MiB, 23824 MiB
2022/04/10 22:46:56.863, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8658 MiB, 23852 MiB
2022/04/10 22:46:56.863, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8658 MiB, 23852 MiB
2022/04/10 22:46:56.865, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8658 MiB, 23852 MiB
2022/04/10 22:46:56.872, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8554 MiB, 23956 MiB
2022/04/10 22:46:56.871, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8525 MiB, 23985 MiB
2022/04/10 22:46:56.871, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8525 MiB, 23985 MiB
2022/04/10 22:46:56.872, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8525 MiB, 23985 MiB
2022/04/10 22:46:56.874, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8658 MiB, 23852 MiB
2022/04/10 22:46:56.878, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8654 MiB, 23856 MiB
2022/04/10 22:46:56.878, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8654 MiB, 23856 MiB
2022/04/10 22:46:56.879, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8654 MiB, 23856 MiB
2022/04/10 22:46:56.893, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 57 %, 32510 MiB, 8686 MiB, 23824 MiB
2022/04/10 22:46:56.893, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8554 MiB, 23956 MiB
2022/04/10 22:46:56.893, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8554 MiB, 23956 MiB
2022/04/10 22:46:56.894, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8554 MiB, 23956 MiB
2022/04/10 22:46:56.895, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8654 MiB, 23856 MiB
2022/04/10 22:46:56.899, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8518 MiB, 23992 MiB
2022/04/10 22:46:56.900, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8518 MiB, 23992 MiB
2022/04/10 22:46:56.900, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8518 MiB, 23992 MiB
2022/04/10 22:46:56.906, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8658 MiB, 23852 MiB
2022/04/10 22:46:56.906, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 57 %, 32510 MiB, 8686 MiB, 23824 MiB
2022/04/10 22:46:56.907, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 57 %, 32510 MiB, 8686 MiB, 23824 MiB
2022/04/10 22:46:56.907, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 57 %, 32510 MiB, 8686 MiB, 23824 MiB
2022/04/10 22:46:56.909, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8518 MiB, 23992 MiB
2022/04/10 22:46:56.913, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 75 %, 32510 MiB, 8426 MiB, 24084 MiB
2022/04/10 22:46:56.913, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 75 %, 32510 MiB, 8426 MiB, 24084 MiB
2022/04/10 22:46:56.913, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 75 %, 32510 MiB, 8426 MiB, 24084 MiB
2022/04/10 22:46:56.915, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8654 MiB, 23856 MiB
2022/04/10 22:46:56.915, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8658 MiB, 23852 MiB
2022/04/10 22:46:56.916, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8658 MiB, 23852 MiB
2022/04/10 22:46:56.916, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8658 MiB, 23852 MiB
2022/04/10 22:46:56.917, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 75 %, 32510 MiB, 8426 MiB, 24084 MiB
2022/04/10 22:46:56.926, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 8566 MiB, 23944 MiB
2022/04/10 22:46:56.926, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 8566 MiB, 23944 MiB
2022/04/10 22:46:56.927, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 8566 MiB, 23944 MiB
2022/04/10 22:46:56.928, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8518 MiB, 23992 MiB
2022/04/10 22:46:56.929, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8654 MiB, 23856 MiB
2022/04/10 22:46:56.929, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8654 MiB, 23856 MiB
2022/04/10 22:46:56.929, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8654 MiB, 23856 MiB
2022/04/10 22:46:56.931, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 8566 MiB, 23944 MiB
2022/04/10 22:46:56.937, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 75 %, 32510 MiB, 8426 MiB, 24084 MiB
2022/04/10 22:46:56.938, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8518 MiB, 23992 MiB
2022/04/10 22:46:56.938, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8518 MiB, 23992 MiB
2022/04/10 22:46:56.938, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8518 MiB, 23992 MiB
2022/04/10 22:46:56.945, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 8566 MiB, 23944 MiB
2022/04/10 22:46:56.946, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 75 %, 32510 MiB, 8426 MiB, 24084 MiB
2022/04/10 22:46:56.946, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 75 %, 32510 MiB, 8426 MiB, 24084 MiB
2022/04/10 22:46:56.946, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 75 %, 32510 MiB, 8426 MiB, 24084 MiB
2022/04/10 22:46:56.953, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 8566 MiB, 23944 MiB
2022/04/10 22:46:56.953, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 8566 MiB, 23944 MiB
2022/04/10 22:46:56.954, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 8566 MiB, 23944 MiB
[rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86752, top1: 0.00094, throughput: 1321.24 | 2022-04-10 22:47:35.130
[rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86755, top1: 0.00100, throughput: 1321.21 | 2022-04-10 22:47:35.132
[rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86779, top1: 0.00072, throughput: 1321.06 | 2022-04-10 22:47:35.133
[rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86754, top1: 0.00080, throughput: 1321.18 | 2022-04-10 22:47:35.131
[rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86754, top1: 0.00078, throughput: 1321.11 | 2022-04-10 22:47:35.133
[rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86769, top1: 0.00086, throughput: 1321.10 | 2022-04-10 22:47:35.136
[rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86755, top1: 0.00092, throughput: 1321.00 | 2022-04-10 22:47:35.133
[rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86768, top1: 0.00105, throughput: 1320.82 | 2022-04-10 22:47:35.143
[rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86739, top1: 0.00076, throughput: 1340.78 | 2022-04-10 22:48:13.320
[rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86770, top1: 0.00098, throughput: 1340.72 | 2022-04-10 22:48:13.320
[rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86764, top1: 0.00086, throughput: 1341.01 | 2022-04-10 22:48:13.324
[rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86748, top1: 0.00082, throughput: 1340.79 | 2022-04-10 22:48:13.322
[rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86747, top1: 0.00084, throughput: 1340.77 | 2022-04-10 22:48:13.320
[rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86749, top1: 0.00086, throughput: 1340.76 | 2022-04-10 22:48:13.319
[rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86742, top1: 0.00096, throughput: 1340.60 | 2022-04-10 22:48:13.322
[rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86772, top1: 0.00102, throughput: 1340.73 | 2022-04-10 22:48:13.321