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
W20220502 01:57:13.612862   404 rpc_client.cpp:190] LoadServer 10.7.76.124 Failed at 0 times error_code 14 error_message failed to connect to all addresses
------------------------ 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 .................................. True
  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: 2.94586 s *****
[rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86776, top1: 0.00070, throughput: 424.48 | 2022-05-02 01:59:29.438
[rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86777, top1: 0.00094, throughput: 424.48 | 2022-05-02 01:59:29.438
[rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86773, top1: 0.00109, throughput: 424.46 | 2022-05-02 01:59:29.438
[rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86807, top1: 0.00100, throughput: 424.47 | 2022-05-02 01:59:29.440
[rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86788, top1: 0.00092, throughput: 424.46 | 2022-05-02 01:59:29.439
[rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86764, top1: 0.00109, throughput: 424.46 | 2022-05-02 01:59:29.440
[rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86754, top1: 0.00090, throughput: 424.48 | 2022-05-02 01:59:29.441
[rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86769, top1: 0.00115, throughput: 424.46 | 2022-05-02 01:59:29.441
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 01:59:29.649, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7777 MiB, 24733 MiB
2022/05/02 01:59:29.650, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7777 MiB, 24733 MiB
2022/05/02 01:59:29.650, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7777 MiB, 24733 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]
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/02 01:59:29.655, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7740 MiB, 24770 MiB
2022/05/02 01:59:29.655, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7740 MiB, 24770 MiB
2022/05/02 01:59:29.655, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7740 MiB, 24770 MiB
2022/05/02 01:59:29.657, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7777 MiB, 24733 MiB
2022/05/02 01:59:29.657, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7777 MiB, 24733 MiB
2022/05/02 01:59:29.658, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7777 MiB, 24733 MiB
2022/05/02 01:59:29.659, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7777 MiB, 24733 MiB
2022/05/02 01:59:29.660, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7952 MiB, 24558 MiB
2022/05/02 01:59:29.660, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7952 MiB, 24558 MiB
2022/05/02 01:59:29.659, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7777 MiB, 24733 MiB
2022/05/02 01:59:29.661, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7952 MiB, 24558 MiB
2022/05/02 01:59:29.665, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7740 MiB, 24770 MiB
2022/05/02 01:59:29.666, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7740 MiB, 24770 MiB
2022/05/02 01:59:29.667, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7740 MiB, 24770 MiB
2022/05/02 01:59:29.668, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7740 MiB, 24770 MiB
2022/05/02 01:59:29.668, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7928 MiB, 24582 MiB
2022/05/02 01:59:29.668, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7928 MiB, 24582 MiB
2022/05/02 01:59:29.668, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7740 MiB, 24770 MiB
2022/05/02 01:59:29.669, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7928 MiB, 24582 MiB
2022/05/02 01:59:29.672, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7952 MiB, 24558 MiB
2022/05/02 01:59:29.673, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7952 MiB, 24558 MiB
2022/05/02 01:59:29.674, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7952 MiB, 24558 MiB
2022/05/02 01:59:29.675, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7952 MiB, 24558 MiB
2022/05/02 01:59:29.675, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7922 MiB, 24588 MiB
2022/05/02 01:59:29.675, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7922 MiB, 24588 MiB
2022/05/02 01:59:29.675, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7952 MiB, 24558 MiB
2022/05/02 01:59:29.676, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7922 MiB, 24588 MiB
2022/05/02 01:59:29.679, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7928 MiB, 24582 MiB
2022/05/02 01:59:29.680, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7928 MiB, 24582 MiB
2022/05/02 01:59:29.681, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7928 MiB, 24582 MiB
2022/05/02 01:59:29.682, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7928 MiB, 24582 MiB
2022/05/02 01:59:29.682, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7768 MiB, 24742 MiB
2022/05/02 01:59:29.682, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7768 MiB, 24742 MiB
2022/05/02 01:59:29.683, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7928 MiB, 24582 MiB
2022/05/02 01:59:29.683, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7768 MiB, 24742 MiB
2022/05/02 01:59:29.686, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7922 MiB, 24588 MiB
2022/05/02 01:59:29.687, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7922 MiB, 24588 MiB
2022/05/02 01:59:29.688, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7922 MiB, 24588 MiB
2022/05/02 01:59:29.694, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7922 MiB, 24588 MiB
2022/05/02 01:59:29.694, Tesla V100-SXM2-32GB, 470.57.02, 83 %, 73 %, 32510 MiB, 7668 MiB, 24842 MiB
2022/05/02 01:59:29.694, Tesla V100-SXM2-32GB, 470.57.02, 83 %, 73 %, 32510 MiB, 7668 MiB, 24842 MiB
2022/05/02 01:59:29.695, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7922 MiB, 24588 MiB
2022/05/02 01:59:29.695, Tesla V100-SXM2-32GB, 470.57.02, 83 %, 73 %, 32510 MiB, 7668 MiB, 24842 MiB
2022/05/02 01:59:29.699, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7768 MiB, 24742 MiB
2022/05/02 01:59:29.700, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7768 MiB, 24742 MiB
2022/05/02 01:59:29.701, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7768 MiB, 24742 MiB
2022/05/02 01:59:29.702, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7768 MiB, 24742 MiB
2022/05/02 01:59:29.702, Tesla V100-SXM2-32GB, 470.57.02, 85 %, 76 %, 32510 MiB, 7794 MiB, 24716 MiB
2022/05/02 01:59:29.702, Tesla V100-SXM2-32GB, 470.57.02, 85 %, 76 %, 32510 MiB, 7794 MiB, 24716 MiB
2022/05/02 01:59:29.703, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7768 MiB, 24742 MiB
2022/05/02 01:59:29.703, Tesla V100-SXM2-32GB, 470.57.02, 85 %, 76 %, 32510 MiB, 7794 MiB, 24716 MiB
2022/05/02 01:59:29.707, Tesla V100-SXM2-32GB, 470.57.02, 83 %, 73 %, 32510 MiB, 7668 MiB, 24842 MiB
2022/05/02 01:59:29.708, Tesla V100-SXM2-32GB, 470.57.02, 83 %, 73 %, 32510 MiB, 7668 MiB, 24842 MiB
2022/05/02 01:59:29.709, Tesla V100-SXM2-32GB, 470.57.02, 83 %, 73 %, 32510 MiB, 7668 MiB, 24842 MiB
2022/05/02 01:59:29.710, Tesla V100-SXM2-32GB, 470.57.02, 83 %, 73 %, 32510 MiB, 7668 MiB, 24842 MiB
2022/05/02 01:59:29.711, Tesla V100-SXM2-32GB, 470.57.02, 83 %, 73 %, 32510 MiB, 7668 MiB, 24842 MiB
2022/05/02 01:59:29.715, Tesla V100-SXM2-32GB, 470.57.02, 85 %, 76 %, 32510 MiB, 7794 MiB, 24716 MiB
2022/05/02 01:59:29.716, Tesla V100-SXM2-32GB, 470.57.02, 85 %, 76 %, 32510 MiB, 7794 MiB, 24716 MiB
2022/05/02 01:59:29.717, Tesla V100-SXM2-32GB, 470.57.02, 85 %, 76 %, 32510 MiB, 7794 MiB, 24716 MiB
2022/05/02 01:59:29.718, Tesla V100-SXM2-32GB, 470.57.02, 85 %, 76 %, 32510 MiB, 7794 MiB, 24716 MiB
2022/05/02 01:59:29.718, Tesla V100-SXM2-32GB, 470.57.02, 85 %, 76 %, 32510 MiB, 7794 MiB, 24716 MiB
[rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86788, top1: 0.00094, throughput: 1337.44 | 2022-05-02 02:00:07.723
[rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86785, top1: 0.00084, throughput: 1337.38 | 2022-05-02 02:00:07.723
[rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86779, top1: 0.00092, throughput: 1337.37 | 2022-05-02 02:00:07.722
[rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86806, top1: 0.00094, throughput: 1337.35 | 2022-05-02 02:00:07.724
[rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86777, top1: 0.00115, throughput: 1337.47 | 2022-05-02 02:00:07.722
[rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86801, top1: 0.00088, throughput: 1337.35 | 2022-05-02 02:00:07.724
[rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86787, top1: 0.00064, throughput: 1337.37 | 2022-05-02 02:00:07.722
[rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86775, top1: 0.00086, throughput: 1337.31 | 2022-05-02 02:00:07.724
[rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86772, top1: 0.00090, throughput: 1340.67 | 2022-05-02 02:00:45.912
[rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86785, top1: 0.00090, throughput: 1340.60 | 2022-05-02 02:00:45.915
[rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86783, top1: 0.00100, throughput: 1340.70 | 2022-05-02 02:00:45.913
[rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86784, top1: 0.00086, throughput: 1340.64 | 2022-05-02 02:00:45.914
[rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86779, top1: 0.00086, throughput: 1340.67 | 2022-05-02 02:00:45.912
[rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86761, top1: 0.00104, throughput: 1340.65 | 2022-05-02 02:00:45.912
[rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86750, top1: 0.00086, throughput: 1340.60 | 2022-05-02 02:00:45.915
[rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86791, top1: 0.00121, throughput: 1340.18 | 2022-05-02 02:00:45.928