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: /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: 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
W20220421 02:00:35.628669   404 rpc_client.cpp:190] LoadServer 10.7.179.227 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: 2.70760 s *****
[rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86746, top1: 0.00109, throughput: 422.88 | 2022-04-21 02:02:51.661
[rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86752, top1: 0.00105, throughput: 422.93 | 2022-04-21 02:02:51.661
[rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86733, top1: 0.00109, throughput: 423.10 | 2022-04-21 02:02:51.663
[rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86735, top1: 0.00127, throughput: 423.00 | 2022-04-21 02:02:51.662
[rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86737, top1: 0.00133, throughput: 422.68 | 2022-04-21 02:02:51.664
[rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86752, top1: 0.00113, throughput: 422.97 | 2022-04-21 02:02:51.664
[rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86753, top1: 0.00109, throughput: 423.18 | 2022-04-21 02:02:51.664
[rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86744, top1: 0.00123, throughput: 422.83 | 2022-04-21 02:02:51.667
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]
2022/04/21 02:02:51.937, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7803 MiB, 24707 MiB
2022/04/21 02:02:51.938, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7803 MiB, 24707 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/21 02:02:51.942, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7803 MiB, 24707 MiB
2022/04/21 02:02:51.948, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 81 %, 32510 MiB, 7738 MiB, 24772 MiB
2022/04/21 02:02:51.949, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 81 %, 32510 MiB, 7738 MiB, 24772 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/21 02:02:51.953, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7803 MiB, 24707 MiB
2022/04/21 02:02:51.954, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 81 %, 32510 MiB, 7738 MiB, 24772 MiB
2022/04/21 02:02:51.955, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 73 %, 32510 MiB, 7994 MiB, 24516 MiB
2022/04/21 02:02:51.956, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 73 %, 32510 MiB, 7994 MiB, 24516 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/21 02:02:51.956, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7803 MiB, 24707 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]
2022/04/21 02:02:51.959, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 81 %, 32510 MiB, 7738 MiB, 24772 MiB
2022/04/21 02:02:51.959, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 73 %, 32510 MiB, 7994 MiB, 24516 MiB
2022/04/21 02:02:51.960, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7928 MiB, 24582 MiB
2022/04/21 02:02:51.961, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7928 MiB, 24582 MiB
2022/04/21 02:02:51.962, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 81 %, 32510 MiB, 7738 MiB, 24772 MiB
2022/04/21 02:02:51.962, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7803 MiB, 24707 MiB
2022/04/21 02:02:51.963, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7803 MiB, 24707 MiB
2022/04/21 02:02:51.963, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7803 MiB, 24707 MiB
2022/04/21 02:02:51.965, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 73 %, 32510 MiB, 7994 MiB, 24516 MiB
2022/04/21 02:02:51.965, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7928 MiB, 24582 MiB
2022/04/21 02:02:51.967, Tesla V100-SXM2-32GB, 470.57.02, 92 %, 82 %, 32510 MiB, 7922 MiB, 24588 MiB
2022/04/21 02:02:51.967, Tesla V100-SXM2-32GB, 470.57.02, 92 %, 82 %, 32510 MiB, 7922 MiB, 24588 MiB
2022/04/21 02:02:51.969, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 73 %, 32510 MiB, 7994 MiB, 24516 MiB
2022/04/21 02:02:51.970, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 81 %, 32510 MiB, 7738 MiB, 24772 MiB
2022/04/21 02:02:51.971, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 81 %, 32510 MiB, 7738 MiB, 24772 MiB
2022/04/21 02:02:51.971, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 81 %, 32510 MiB, 7738 MiB, 24772 MiB
2022/04/21 02:02:51.972, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7928 MiB, 24582 MiB
2022/04/21 02:02:51.973, Tesla V100-SXM2-32GB, 470.57.02, 92 %, 82 %, 32510 MiB, 7922 MiB, 24588 MiB
2022/04/21 02:02:51.974, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7800 MiB, 24710 MiB
2022/04/21 02:02:51.974, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7800 MiB, 24710 MiB
2022/04/21 02:02:51.976, Tesla V100-SXM2-32GB, 470.57.02, 70 %, 60 %, 32510 MiB, 7928 MiB, 24582 MiB
2022/04/21 02:02:51.977, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 73 %, 32510 MiB, 7994 MiB, 24516 MiB
2022/04/21 02:02:51.978, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 73 %, 32510 MiB, 7994 MiB, 24516 MiB
2022/04/21 02:02:51.978, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 73 %, 32510 MiB, 7994 MiB, 24516 MiB
2022/04/21 02:02:51.980, Tesla V100-SXM2-32GB, 470.57.02, 92 %, 82 %, 32510 MiB, 7922 MiB, 24588 MiB
2022/04/21 02:02:51.980, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7800 MiB, 24710 MiB
2022/04/21 02:02:51.982, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 7672 MiB, 24838 MiB
2022/04/21 02:02:51.982, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 7672 MiB, 24838 MiB
2022/04/21 02:02:51.983, Tesla V100-SXM2-32GB, 470.57.02, 92 %, 82 %, 32510 MiB, 7922 MiB, 24588 MiB
2022/04/21 02:02:51.984, Tesla V100-SXM2-32GB, 470.57.02, 70 %, 60 %, 32510 MiB, 7928 MiB, 24582 MiB
2022/04/21 02:02:51.986, Tesla V100-SXM2-32GB, 470.57.02, 70 %, 60 %, 32510 MiB, 7928 MiB, 24582 MiB
2022/04/21 02:02:51.986, Tesla V100-SXM2-32GB, 470.57.02, 70 %, 60 %, 32510 MiB, 7928 MiB, 24582 MiB
2022/04/21 02:02:51.987, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7800 MiB, 24710 MiB
2022/04/21 02:02:51.988, Tesla V100-SXM2-32GB, 470.57.02, 67 %, 56 %, 32510 MiB, 7672 MiB, 24838 MiB
2022/04/21 02:02:51.989, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7840 MiB, 24670 MiB
2022/04/21 02:02:51.990, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7840 MiB, 24670 MiB
2022/04/21 02:02:51.991, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7800 MiB, 24710 MiB
2022/04/21 02:02:51.992, Tesla V100-SXM2-32GB, 470.57.02, 92 %, 82 %, 32510 MiB, 7922 MiB, 24588 MiB
2022/04/21 02:02:51.993, Tesla V100-SXM2-32GB, 470.57.02, 92 %, 82 %, 32510 MiB, 7922 MiB, 24588 MiB
2022/04/21 02:02:51.994, Tesla V100-SXM2-32GB, 470.57.02, 92 %, 82 %, 32510 MiB, 7922 MiB, 24588 MiB
2022/04/21 02:02:51.995, Tesla V100-SXM2-32GB, 470.57.02, 67 %, 56 %, 32510 MiB, 7672 MiB, 24838 MiB
2022/04/21 02:02:51.995, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7840 MiB, 24670 MiB
2022/04/21 02:02:51.999, Tesla V100-SXM2-32GB, 470.57.02, 67 %, 56 %, 32510 MiB, 7672 MiB, 24838 MiB
2022/04/21 02:02:52.000, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7800 MiB, 24710 MiB
2022/04/21 02:02:52.001, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7800 MiB, 24710 MiB
2022/04/21 02:02:52.001, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7800 MiB, 24710 MiB
2022/04/21 02:02:52.003, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7840 MiB, 24670 MiB
2022/04/21 02:02:52.006, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7840 MiB, 24670 MiB
2022/04/21 02:02:52.007, Tesla V100-SXM2-32GB, 470.57.02, 67 %, 56 %, 32510 MiB, 7672 MiB, 24838 MiB
2022/04/21 02:02:52.008, Tesla V100-SXM2-32GB, 470.57.02, 67 %, 56 %, 32510 MiB, 7672 MiB, 24838 MiB
2022/04/21 02:02:52.008, Tesla V100-SXM2-32GB, 470.57.02, 67 %, 56 %, 32510 MiB, 7672 MiB, 24838 MiB
2022/04/21 02:02:52.014, Tesla V100-SXM2-32GB, 470.57.02, 66 %, 53 %, 32510 MiB, 7840 MiB, 24670 MiB
2022/04/21 02:02:52.015, Tesla V100-SXM2-32GB, 470.57.02, 66 %, 53 %, 32510 MiB, 7840 MiB, 24670 MiB
2022/04/21 02:02:52.015, Tesla V100-SXM2-32GB, 470.57.02, 66 %, 53 %, 32510 MiB, 7840 MiB, 24670 MiB
[rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86750, top1: 0.00100, throughput: 1344.66 | 2022-04-21 02:03:29.739
[rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86740, top1: 0.00090, throughput: 1344.59 | 2022-04-21 02:03:29.739
[rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86754, top1: 0.00119, throughput: 1344.58 | 2022-04-21 02:03:29.740
[rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86747, top1: 0.00092, throughput: 1344.63 | 2022-04-21 02:03:29.741
[rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86744, top1: 0.00111, throughput: 1344.59 | 2022-04-21 02:03:29.742
[rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86731, top1: 0.00115, throughput: 1344.61 | 2022-04-21 02:03:29.741
[rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86734, top1: 0.00104, throughput: 1344.61 | 2022-04-21 02:03:29.742
[rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86733, top1: 0.00127, throughput: 1344.61 | 2022-04-21 02:03:29.745
[rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86740, top1: 0.00113, throughput: 1348.28 | 2022-04-21 02:04:07.714
[rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86732, top1: 0.00119, throughput: 1348.28 | 2022-04-21 02:04:07.713
[rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86739, top1: 0.00105, throughput: 1348.28 | 2022-04-21 02:04:07.717
[rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86763, top1: 0.00121, throughput: 1348.29 | 2022-04-21 02:04:07.713
[rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86722, top1: 0.00115, throughput: 1348.25 | 2022-04-21 02:04:07.716
[rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86748, top1: 0.00119, throughput: 1348.23 | 2022-04-21 02:04:07.718
[rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86749, top1: 0.00102, throughput: 1348.24 | 2022-04-21 02:04:07.717
[rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86737, top1: 0.00094, throughput: 1347.84 | 2022-04-21 02:04:07.732