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: 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

/usr/lib/x86_64-linux-gnu/libibverbs.so.1
W20220422 10:15:43.667429  3726 rpc_client.cpp:190] LoadServer 10.7.5.228 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 .................................. 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: 2.83465 s *****
[rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86741, top1: 0.00104, throughput: 453.35 | 2022-04-22 10:17:51.847
[rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86702, top1: 0.00088, throughput: 453.30 | 2022-04-22 10:17:51.847
[rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86729, top1: 0.00109, throughput: 453.26 | 2022-04-22 10:17:51.850
[rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86738, top1: 0.00105, throughput: 453.33 | 2022-04-22 10:17:51.853
[rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86727, top1: 0.00133, throughput: 453.36 | 2022-04-22 10:17:51.848
[rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86734, top1: 0.00096, throughput: 453.26 | 2022-04-22 10:17:51.851
[rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86716, top1: 0.00113, throughput: 453.39 | 2022-04-22 10:17:51.853
[rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86738, top1: 0.00098, throughput: 453.26 | 2022-04-22 10:17:51.851
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]
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/22 10:17:52.173, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 8563 MiB, 23947 MiB
2022/04/22 10:17:52.181, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 8563 MiB, 23947 MiB
2022/04/22 10:17:52.181, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 8563 MiB, 23947 MiB
2022/04/22 10:17:52.182, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 8563 MiB, 23947 MiB
2022/04/22 10:17:52.182, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 8563 MiB, 23947 MiB
2022/04/22 10:17:52.182, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 8563 MiB, 23947 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]
2022/04/22 10:17:52.215, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 68 %, 32510 MiB, 8592 MiB, 23918 MiB
2022/04/22 10:17:52.217, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 68 %, 32510 MiB, 8592 MiB, 23918 MiB
2022/04/22 10:17:52.217, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 68 %, 32510 MiB, 8592 MiB, 23918 MiB
2022/04/22 10:17:52.217, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 68 %, 32510 MiB, 8592 MiB, 23918 MiB
2022/04/22 10:17:52.218, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 68 %, 32510 MiB, 8592 MiB, 23918 MiB
2022/04/22 10:17:52.230, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 68 %, 32510 MiB, 8592 MiB, 23918 MiB
2022/04/22 10:17:52.233, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 8563 MiB, 23947 MiB
2022/04/22 10:17:52.234, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 8563 MiB, 23947 MiB
2022/04/22 10:17:52.238, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8724 MiB, 23786 MiB
2022/04/22 10:17:52.250, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8724 MiB, 23786 MiB
2022/04/22 10:17:52.250, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8724 MiB, 23786 MiB
2022/04/22 10:17:52.251, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8724 MiB, 23786 MiB
2022/04/22 10:17:52.251, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8724 MiB, 23786 MiB
2022/04/22 10:17:52.252, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8724 MiB, 23786 MiB
2022/04/22 10:17:52.253, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 68 %, 32510 MiB, 8592 MiB, 23918 MiB
2022/04/22 10:17:52.254, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 68 %, 32510 MiB, 8592 MiB, 23918 MiB
2022/04/22 10:17:52.256, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 80 %, 32510 MiB, 8696 MiB, 23814 MiB
2022/04/22 10:17:52.263, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 80 %, 32510 MiB, 8696 MiB, 23814 MiB
2022/04/22 10:17:52.272, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 80 %, 32510 MiB, 8696 MiB, 23814 MiB
2022/04/22 10:17:52.274, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 80 %, 32510 MiB, 8696 MiB, 23814 MiB
2022/04/22 10:17:52.274, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 80 %, 32510 MiB, 8696 MiB, 23814 MiB
2022/04/22 10:17:52.275, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 80 %, 32510 MiB, 8696 MiB, 23814 MiB
2022/04/22 10:17:52.282, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8724 MiB, 23786 MiB
2022/04/22 10:17:52.282, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8724 MiB, 23786 MiB
2022/04/22 10:17:52.290, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 8692 MiB, 23818 MiB
2022/04/22 10:17:52.293, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 8692 MiB, 23818 MiB
2022/04/22 10:17:52.294, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 8692 MiB, 23818 MiB
2022/04/22 10:17:52.294, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 8692 MiB, 23818 MiB
2022/04/22 10:17:52.294, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 8692 MiB, 23818 MiB
2022/04/22 10:17:52.295, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 8692 MiB, 23818 MiB
2022/04/22 10:17:52.298, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 80 %, 32510 MiB, 8696 MiB, 23814 MiB
2022/04/22 10:17:52.299, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 80 %, 32510 MiB, 8696 MiB, 23814 MiB
2022/04/22 10:17:52.315, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8576 MiB, 23934 MiB
2022/04/22 10:17:52.322, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8576 MiB, 23934 MiB
2022/04/22 10:17:52.323, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8576 MiB, 23934 MiB
2022/04/22 10:17:52.324, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8576 MiB, 23934 MiB
2022/04/22 10:17:52.324, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8576 MiB, 23934 MiB
2022/04/22 10:17:52.332, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8576 MiB, 23934 MiB
2022/04/22 10:17:52.334, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8692 MiB, 23818 MiB
2022/04/22 10:17:52.335, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8692 MiB, 23818 MiB
2022/04/22 10:17:52.337, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8464 MiB, 24046 MiB
2022/04/22 10:17:52.344, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8464 MiB, 24046 MiB
2022/04/22 10:17:52.354, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8464 MiB, 24046 MiB
2022/04/22 10:17:52.354, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8464 MiB, 24046 MiB
2022/04/22 10:17:52.355, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8464 MiB, 24046 MiB
2022/04/22 10:17:52.356, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8464 MiB, 24046 MiB
2022/04/22 10:17:52.361, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8576 MiB, 23934 MiB
2022/04/22 10:17:52.362, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8576 MiB, 23934 MiB
2022/04/22 10:17:52.368, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8624 MiB, 23886 MiB
2022/04/22 10:17:52.371, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8624 MiB, 23886 MiB
2022/04/22 10:17:52.371, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8624 MiB, 23886 MiB
2022/04/22 10:17:52.371, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8624 MiB, 23886 MiB
2022/04/22 10:17:52.372, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8624 MiB, 23886 MiB
2022/04/22 10:17:52.373, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8624 MiB, 23886 MiB
2022/04/22 10:17:52.374, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8464 MiB, 24046 MiB
2022/04/22 10:17:52.375, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8464 MiB, 24046 MiB
2022/04/22 10:17:52.388, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8624 MiB, 23886 MiB
2022/04/22 10:17:52.388, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8624 MiB, 23886 MiB
[rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86734, top1: 0.00088, throughput: 1339.71 | 2022-04-22 10:18:30.065
[rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86726, top1: 0.00100, throughput: 1339.77 | 2022-04-22 10:18:30.063
[rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86704, top1: 0.00104, throughput: 1339.78 | 2022-04-22 10:18:30.062
[rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86734, top1: 0.00080, throughput: 1339.80 | 2022-04-22 10:18:30.064
[rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86749, top1: 0.00107, throughput: 1339.79 | 2022-04-22 10:18:30.068
[rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86732, top1: 0.00105, throughput: 1339.77 | 2022-04-22 10:18:30.067
[rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86758, top1: 0.00092, throughput: 1339.79 | 2022-04-22 10:18:30.068
[rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86710, top1: 0.00096, throughput: 1339.83 | 2022-04-22 10:18:30.064
[rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86723, top1: 0.00098, throughput: 1346.47 | 2022-04-22 10:19:08.090
[rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86726, top1: 0.00078, throughput: 1346.42 | 2022-04-22 10:19:08.095
[rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86740, top1: 0.00082, throughput: 1346.40 | 2022-04-22 10:19:08.095
[rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86712, top1: 0.00117, throughput: 1346.28 | 2022-04-22 10:19:08.095
[rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86744, top1: 0.00131, throughput: 1346.36 | 2022-04-22 10:19:08.093
[rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86719, top1: 0.00113, throughput: 1346.28 | 2022-04-22 10:19:08.093
[rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86723, top1: 0.00088, throughput: 1346.39 | 2022-04-22 10:19:08.094
[rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86725, top1: 0.00102, throughput: 1342.83 | 2022-04-22 10:19:08.191