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: /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
loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1
W20220414 01:58:20.540778   403 rpc_client.cpp:190] LoadServer 10.7.129.151 Failed at 0 times error_code 14 error_message failed to connect to all addresses
W20220414 01:58:20.542883   405 rpc_client.cpp:190] LoadServer 10.7.129.151 Failed at 0 times error_code 14 error_message failed to connect to all addresses
W20220414 01:58:20.542968   404 rpc_client.cpp:190] LoadServer 10.7.129.151 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: 2.83722 s *****
[rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86740, top1: 0.00131, throughput: 414.76 | 2022-04-14 02:00:39.256
[rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86742, top1: 0.00156, throughput: 414.76 | 2022-04-14 02:00:39.253
[rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86725, top1: 0.00182, throughput: 414.76 | 2022-04-14 02:00:39.255
[rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86719, top1: 0.00176, throughput: 414.78 | 2022-04-14 02:00:39.253
[rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86702, top1: 0.00158, throughput: 414.75 | 2022-04-14 02:00:39.256
[rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86740, top1: 0.00143, throughput: 414.77 | 2022-04-14 02:00:39.253
[rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86710, top1: 0.00180, throughput: 414.75 | 2022-04-14 02:00:39.254
[rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86741, top1: 0.00168, throughput: 414.75 | 2022-04-14 02:00:39.257
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]
2022/04/14 02:00:39.525, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 75 %, 32510 MiB, 7841 MiB, 24669 MiB
2022/04/14 02:00:39.525, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 75 %, 32510 MiB, 7841 MiB, 24669 MiB
2022/04/14 02:00:39.526, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 75 %, 32510 MiB, 7841 MiB, 24669 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]
2022/04/14 02:00:39.528, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 75 %, 32510 MiB, 7841 MiB, 24669 MiB
2022/04/14 02:00:39.530, Tesla V100-SXM2-32GB, 470.57.02, 80 %, 74 %, 32510 MiB, 7808 MiB, 24702 MiB
2022/04/14 02:00:39.530, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 75 %, 32510 MiB, 7841 MiB, 24669 MiB
2022/04/14 02:00:39.531, Tesla V100-SXM2-32GB, 470.57.02, 80 %, 74 %, 32510 MiB, 7808 MiB, 24702 MiB
2022/04/14 02:00:39.532, Tesla V100-SXM2-32GB, 470.57.02, 80 %, 74 %, 32510 MiB, 7808 MiB, 24702 MiB
2022/04/14 02:00:39.533, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 75 %, 32510 MiB, 7841 MiB, 24669 MiB
2022/04/14 02:00:39.533, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 75 %, 32510 MiB, 7841 MiB, 24669 MiB
2022/04/14 02:00:39.535, Tesla V100-SXM2-32GB, 470.57.02, 80 %, 74 %, 32510 MiB, 7808 MiB, 24702 MiB
2022/04/14 02:00:39.534, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 75 %, 32510 MiB, 7841 MiB, 24669 MiB
2022/04/14 02:00:39.537, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 74 %, 32510 MiB, 8036 MiB, 24474 MiB
2022/04/14 02:00:39.538, Tesla V100-SXM2-32GB, 470.57.02, 80 %, 74 %, 32510 MiB, 7808 MiB, 24702 MiB
2022/04/14 02:00:39.538, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 74 %, 32510 MiB, 8036 MiB, 24474 MiB
2022/04/14 02:00:39.540, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 74 %, 32510 MiB, 8036 MiB, 24474 MiB
2022/04/14 02:00:39.542, Tesla V100-SXM2-32GB, 470.57.02, 80 %, 74 %, 32510 MiB, 7808 MiB, 24702 MiB
2022/04/14 02:00:39.542, Tesla V100-SXM2-32GB, 470.57.02, 80 %, 74 %, 32510 MiB, 7808 MiB, 24702 MiB
2022/04/14 02:00:39.543, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 74 %, 32510 MiB, 8036 MiB, 24474 MiB
2022/04/14 02:00:39.544, Tesla V100-SXM2-32GB, 470.57.02, 80 %, 74 %, 32510 MiB, 7808 MiB, 24702 MiB
2022/04/14 02:00:39.546, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 7994 MiB, 24516 MiB
2022/04/14 02:00:39.546, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 74 %, 32510 MiB, 8036 MiB, 24474 MiB
2022/04/14 02:00:39.547, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 7994 MiB, 24516 MiB
2022/04/14 02:00:39.548, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 7994 MiB, 24516 MiB
2022/04/14 02:00:39.550, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 74 %, 32510 MiB, 8036 MiB, 24474 MiB
2022/04/14 02:00:39.551, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 74 %, 32510 MiB, 8036 MiB, 24474 MiB
2022/04/14 02:00:39.551, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 7994 MiB, 24516 MiB
2022/04/14 02:00:39.552, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 74 %, 32510 MiB, 8036 MiB, 24474 MiB
2022/04/14 02:00:39.554, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7992 MiB, 24518 MiB
2022/04/14 02:00:39.555, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 7994 MiB, 24516 MiB
2022/04/14 02:00:39.555, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7992 MiB, 24518 MiB
2022/04/14 02:00:39.556, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7992 MiB, 24518 MiB
2022/04/14 02:00:39.558, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 7994 MiB, 24516 MiB
2022/04/14 02:00:39.558, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 7994 MiB, 24516 MiB
2022/04/14 02:00:39.559, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7992 MiB, 24518 MiB
2022/04/14 02:00:39.560, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 7994 MiB, 24516 MiB
2022/04/14 02:00:39.561, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 65 %, 32510 MiB, 7884 MiB, 24626 MiB
2022/04/14 02:00:39.562, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7992 MiB, 24518 MiB
2022/04/14 02:00:39.562, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 65 %, 32510 MiB, 7884 MiB, 24626 MiB
2022/04/14 02:00:39.563, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 65 %, 32510 MiB, 7884 MiB, 24626 MiB
2022/04/14 02:00:39.565, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7992 MiB, 24518 MiB
2022/04/14 02:00:39.565, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7992 MiB, 24518 MiB
2022/04/14 02:00:39.566, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 65 %, 32510 MiB, 7884 MiB, 24626 MiB
2022/04/14 02:00:39.566, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7992 MiB, 24518 MiB
2022/04/14 02:00:39.568, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 77 %, 32510 MiB, 7714 MiB, 24796 MiB
2022/04/14 02:00:39.568, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 65 %, 32510 MiB, 7884 MiB, 24626 MiB
2022/04/14 02:00:39.569, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 77 %, 32510 MiB, 7714 MiB, 24796 MiB
2022/04/14 02:00:39.570, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 77 %, 32510 MiB, 7714 MiB, 24796 MiB
2022/04/14 02:00:39.572, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 65 %, 32510 MiB, 7884 MiB, 24626 MiB
2022/04/14 02:00:39.572, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 65 %, 32510 MiB, 7884 MiB, 24626 MiB
2022/04/14 02:00:39.573, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 77 %, 32510 MiB, 7714 MiB, 24796 MiB
2022/04/14 02:00:39.573, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 65 %, 32510 MiB, 7884 MiB, 24626 MiB
2022/04/14 02:00:39.575, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7896 MiB, 24614 MiB
2022/04/14 02:00:39.575, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 77 %, 32510 MiB, 7714 MiB, 24796 MiB
2022/04/14 02:00:39.576, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7896 MiB, 24614 MiB
2022/04/14 02:00:39.577, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7896 MiB, 24614 MiB
2022/04/14 02:00:39.579, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 77 %, 32510 MiB, 7714 MiB, 24796 MiB
2022/04/14 02:00:39.579, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 77 %, 32510 MiB, 7714 MiB, 24796 MiB
2022/04/14 02:00:39.580, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7896 MiB, 24614 MiB
2022/04/14 02:00:39.580, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 77 %, 32510 MiB, 7714 MiB, 24796 MiB
2022/04/14 02:00:39.583, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7896 MiB, 24614 MiB
2022/04/14 02:00:39.586, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7896 MiB, 24614 MiB
2022/04/14 02:00:39.587, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7896 MiB, 24614 MiB
2022/04/14 02:00:39.588, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7896 MiB, 24614 MiB
[rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86739, top1: 0.00180, throughput: 1331.60 | 2022-04-14 02:01:17.703
[rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86721, top1: 0.00158, throughput: 1331.57 | 2022-04-14 02:01:17.704
[rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86724, top1: 0.00154, throughput: 1331.67 | 2022-04-14 02:01:17.704
[rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86737, top1: 0.00152, throughput: 1331.51 | 2022-04-14 02:01:17.709
[rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86730, top1: 0.00154, throughput: 1331.63 | 2022-04-14 02:01:17.704
[rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86726, top1: 0.00191, throughput: 1331.56 | 2022-04-14 02:01:17.704
[rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86727, top1: 0.00154, throughput: 1331.62 | 2022-04-14 02:01:17.703
[rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86718, top1: 0.00174, throughput: 1331.57 | 2022-04-14 02:01:17.707
[rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86714, top1: 0.00178, throughput: 1345.14 | 2022-04-14 02:01:55.767
[rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86702, top1: 0.00162, throughput: 1345.04 | 2022-04-14 02:01:55.769
[rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86733, top1: 0.00172, throughput: 1344.99 | 2022-04-14 02:01:55.770
[rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86730, top1: 0.00182, throughput: 1345.08 | 2022-04-14 02:01:55.769
[rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86731, top1: 0.00141, throughput: 1345.10 | 2022-04-14 02:01:55.768
[rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86724, top1: 0.00141, throughput: 1345.19 | 2022-04-14 02:01:55.771
[rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86736, top1: 0.00141, throughput: 1345.05 | 2022-04-14 02:01:55.770
[rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86717, top1: 0.00168, throughput: 1345.12 | 2022-04-14 02:01:55.770