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: /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
W20220503 02:09:49.040071  5270 rpc_client.cpp:190] LoadServer 10.7.164.156 Failed at 0 times error_code 14 error_message failed to connect to all addresses
W20220503 02:09:49.040736  5269 rpc_client.cpp:190] LoadServer 10.7.164.156 Failed at 0 times error_code 14 error_message failed to connect to all addresses
W20220503 02:09:49.041672  5271 rpc_client.cpp:190] LoadServer 10.7.164.156 Failed at 0 times error_code 14 error_message failed to connect to all addresses
------------------------ arguments ------------------------
  batches_per_epoch ............................... 625
  channel_last .................................... False
  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 ................................... 2.048
  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 ................................ 256
  train_global_batch_size ......................... 2048
  use_fp16 ........................................ False
  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: 3.10828 s *****
[rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86768, top1: 0.00059, throughput: 276.58 | 2022-05-03 02:11:37.126
[rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86747, top1: 0.00043, throughput: 276.58 | 2022-05-03 02:11:37.124
[rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86749, top1: 0.00062, throughput: 276.60 | 2022-05-03 02:11:37.123
[rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86764, top1: 0.00109, throughput: 276.59 | 2022-05-03 02:11:37.123
[rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86743, top1: 0.00102, throughput: 276.60 | 2022-05-03 02:11:37.124
[rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86748, top1: 0.00094, throughput: 276.58 | 2022-05-03 02:11:37.124
[rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86761, top1: 0.00078, throughput: 276.58 | 2022-05-03 02:11:37.124
[rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86777, top1: 0.00074, throughput: 276.57 | 2022-05-03 02:11:37.125
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/03 02:11:37.409, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8500 MiB, 24010 MiB
2022/05/03 02:11:37.417, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8460 MiB, 24050 MiB
2022/05/03 02:11:37.425, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 56 %, 32510 MiB, 8612 MiB, 23898 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/03 02:11:37.430, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8614 MiB, 23896 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/03 02:11:37.440, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8500 MiB, 24010 MiB
2022/05/03 02:11:37.443, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8628 MiB, 23882 MiB
2022/05/03 02:11:37.445, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8500 MiB, 24010 MiB
2022/05/03 02:11:37.449, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8460 MiB, 24050 MiB
2022/05/03 02:11:37.451, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8492 MiB, 24018 MiB
2022/05/03 02:11:37.455, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8460 MiB, 24050 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/03 02:11:37.458, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 56 %, 32510 MiB, 8612 MiB, 23898 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/03 02:11:37.459, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8352 MiB, 24158 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]
2022/05/03 02:11:37.461, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 56 %, 32510 MiB, 8612 MiB, 23898 MiB
2022/05/03 02:11:37.462, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8500 MiB, 24010 MiB
2022/05/03 02:11:37.464, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8614 MiB, 23896 MiB
2022/05/03 02:11:37.464, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8500 MiB, 24010 MiB
2022/05/03 02:11:37.465, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8492 MiB, 24018 MiB
2022/05/03 02:11:37.465, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8500 MiB, 24010 MiB
2022/05/03 02:11:37.467, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8500 MiB, 24010 MiB
2022/05/03 02:11:37.468, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8614 MiB, 23896 MiB
2022/05/03 02:11:37.467, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8500 MiB, 24010 MiB
2022/05/03 02:11:37.470, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8460 MiB, 24050 MiB
2022/05/03 02:11:37.471, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8628 MiB, 23882 MiB
2022/05/03 02:11:37.473, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8460 MiB, 24050 MiB
2022/05/03 02:11:37.476, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8460 MiB, 24050 MiB
2022/05/03 02:11:37.477, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8460 MiB, 24050 MiB
2022/05/03 02:11:37.478, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8628 MiB, 23882 MiB
2022/05/03 02:11:37.478, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8460 MiB, 24050 MiB
2022/05/03 02:11:37.480, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 56 %, 32510 MiB, 8612 MiB, 23898 MiB
2022/05/03 02:11:37.481, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8492 MiB, 24018 MiB
2022/05/03 02:11:37.483, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 56 %, 32510 MiB, 8612 MiB, 23898 MiB
2022/05/03 02:11:37.485, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 56 %, 32510 MiB, 8612 MiB, 23898 MiB
2022/05/03 02:11:37.486, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 56 %, 32510 MiB, 8612 MiB, 23898 MiB
2022/05/03 02:11:37.487, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8492 MiB, 24018 MiB
2022/05/03 02:11:37.487, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 56 %, 32510 MiB, 8612 MiB, 23898 MiB
2022/05/03 02:11:37.489, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8614 MiB, 23896 MiB
2022/05/03 02:11:37.490, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8352 MiB, 24158 MiB
2022/05/03 02:11:37.492, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8614 MiB, 23896 MiB
2022/05/03 02:11:37.494, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8614 MiB, 23896 MiB
2022/05/03 02:11:37.496, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8614 MiB, 23896 MiB
2022/05/03 02:11:37.496, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8352 MiB, 24158 MiB
2022/05/03 02:11:37.496, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8614 MiB, 23896 MiB
2022/05/03 02:11:37.498, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8628 MiB, 23882 MiB
2022/05/03 02:11:37.499, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8492 MiB, 24018 MiB
2022/05/03 02:11:37.501, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8628 MiB, 23882 MiB
2022/05/03 02:11:37.503, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8628 MiB, 23882 MiB
2022/05/03 02:11:37.505, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8628 MiB, 23882 MiB
2022/05/03 02:11:37.506, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8492 MiB, 24018 MiB
2022/05/03 02:11:37.506, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8628 MiB, 23882 MiB
2022/05/03 02:11:37.508, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8492 MiB, 24018 MiB
2022/05/03 02:11:37.516, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8492 MiB, 24018 MiB
2022/05/03 02:11:37.518, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8492 MiB, 24018 MiB
2022/05/03 02:11:37.520, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8492 MiB, 24018 MiB
2022/05/03 02:11:37.520, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8492 MiB, 24018 MiB
2022/05/03 02:11:37.522, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8352 MiB, 24158 MiB
2022/05/03 02:11:37.525, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8352 MiB, 24158 MiB
2022/05/03 02:11:37.526, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8352 MiB, 24158 MiB
2022/05/03 02:11:37.528, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8352 MiB, 24158 MiB
2022/05/03 02:11:37.528, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8352 MiB, 24158 MiB
2022/05/03 02:11:37.530, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8492 MiB, 24018 MiB
2022/05/03 02:11:37.532, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8492 MiB, 24018 MiB
2022/05/03 02:11:37.534, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8492 MiB, 24018 MiB
2022/05/03 02:11:37.536, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8492 MiB, 24018 MiB
2022/05/03 02:11:37.536, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8492 MiB, 24018 MiB
[rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86768, top1: 0.00078, throughput: 381.29 | 2022-05-03 02:12:44.264
[rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86749, top1: 0.00082, throughput: 381.29 | 2022-05-03 02:12:44.264
[rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86783, top1: 0.00074, throughput: 381.28 | 2022-05-03 02:12:44.264
[rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86715, top1: 0.00074, throughput: 381.28 | 2022-05-03 02:12:44.264
[rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86741, top1: 0.00109, throughput: 381.31 | 2022-05-03 02:12:44.264
[rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86775, top1: 0.00070, throughput: 381.29[rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86775, top1: 0.00082, throughput: 381.29 | 2022-05-03 02:12:44.265
 | 2022-05-03 02:12:44.265
[rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86747, top1: 0.00094, throughput: 381.29 | 2022-05-03 02:12:44.265
[rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86738, top1: 0.00074, throughput: 379.38 | 2022-05-03 02:13:51.743
[rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86767, top1: 0.00078, throughput: 379.37 | 2022-05-03 02:13:51.744
[rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86714, top1: 0.00070, throughput: 379.37 | 2022-05-03 02:13:51.744
[rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86773, top1: 0.00086, throughput: 379.37 | 2022-05-03 02:13:51.746
[rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86766, top1: 0.00113, throughput: 379.37 | 2022-05-03 02:13:51.745
[rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86776, top1: 0.00086, throughput: 379.37 | 2022-05-03 02:13:51.744
[rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86786, top1: 0.00074, throughput: 379.37 | 2022-05-03 02:13:51.745
[rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86739, top1: 0.00086, throughput: 379.37 | 2022-05-03 02:13:51.744