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
W20220413 01:48:35.994623  3665 rpc_client.cpp:190] LoadServer 10.7.50.36 Failed at 0 times error_code 14 error_message failed to connect to all addresses
W20220413 01:48:35.995029  3664 rpc_client.cpp:190] LoadServer 10.7.50.36 Failed at 0 times error_code 14 error_message failed to connect to all addresses
W20220413 01:48:35.995916  3667 rpc_client.cpp:190] LoadServer 10.7.50.36 Failed at 0 times error_code 14 error_message failed to connect to all addresses
W20220413 01:48:35.995054  3666 rpc_client.cpp:190] LoadServer 10.7.50.36 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: 2.91208 s *****
[rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86787, top1: 0.00094, throughput: 438.15 | 2022-04-13 01:50:48.157
[rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86786, top1: 0.00086, throughput: 438.14 | 2022-04-13 01:50:48.161
[rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86790, top1: 0.00064, throughput: 438.11 | 2022-04-13 01:50:48.159
[rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86787, top1: 0.00092, throughput: 438.11 | 2022-04-13 01:50:48.161
[rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86799, top1: 0.00088, throughput: 438.12 | 2022-04-13 01:50:48.162
[rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86790, top1: 0.00084, throughput: 438.12 | 2022-04-13 01:50:48.159
[rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86783, top1: 0.00100, throughput: 438.13 | 2022-04-13 01:50:48.161
[rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86783, top1: 0.00100, throughput: 438.13 | 2022-04-13 01:50:48.162
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]
2022/04/13 01:50:48.441, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8627 MiB, 23883 MiB
2022/04/13 01:50:48.446, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8627 MiB, 23883 MiB
2022/04/13 01:50:48.447, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 8658 MiB, 23852 MiB
2022/04/13 01:50:48.453, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 8658 MiB, 23852 MiB
2022/04/13 01:50:48.453, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 8810 MiB, 23700 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]
2022/04/13 01:50:48.459, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 8810 MiB, 23700 MiB
2022/04/13 01:50:48.459, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 81 %, 32510 MiB, 8762 MiB, 23748 MiB
2022/04/13 01:50:48.460, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8627 MiB, 23883 MiB
2022/04/13 01:50:48.461, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8627 MiB, 23883 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/13 01:50:48.462, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8627 MiB, 23883 MiB
2022/04/13 01:50:48.465, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 81 %, 32510 MiB, 8762 MiB, 23748 MiB
2022/04/13 01:50:48.465, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 8758 MiB, 23752 MiB
2022/04/13 01:50:48.468, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 8658 MiB, 23852 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/13 01:50:48.469, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 8658 MiB, 23852 MiB
2022/04/13 01:50:48.470, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 8658 MiB, 23852 MiB
2022/04/13 01:50:48.470, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8627 MiB, 23883 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/13 01:50:48.472, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 8758 MiB, 23752 MiB
2022/04/13 01:50:48.472, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 8642 MiB, 23868 MiB
2022/04/13 01:50:48.474, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 8810 MiB, 23700 MiB
2022/04/13 01:50:48.474, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8627 MiB, 23883 MiB
2022/04/13 01:50:48.475, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 8810 MiB, 23700 MiB
2022/04/13 01:50:48.477, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 8810 MiB, 23700 MiB
2022/04/13 01:50:48.477, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 8658 MiB, 23852 MiB
2022/04/13 01:50:48.478, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8627 MiB, 23883 MiB
2022/04/13 01:50:48.479, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 8642 MiB, 23868 MiB
2022/04/13 01:50:48.479, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8510 MiB, 24000 MiB
2022/04/13 01:50:48.482, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 81 %, 32510 MiB, 8762 MiB, 23748 MiB
2022/04/13 01:50:48.483, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 8658 MiB, 23852 MiB
2022/04/13 01:50:48.483, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 81 %, 32510 MiB, 8762 MiB, 23748 MiB
2022/04/13 01:50:48.485, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 81 %, 32510 MiB, 8762 MiB, 23748 MiB
2022/04/13 01:50:48.485, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 8810 MiB, 23700 MiB
2022/04/13 01:50:48.486, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 8658 MiB, 23852 MiB
2022/04/13 01:50:48.487, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8510 MiB, 24000 MiB
2022/04/13 01:50:48.487, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8690 MiB, 23820 MiB
2022/04/13 01:50:48.490, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 8758 MiB, 23752 MiB
2022/04/13 01:50:48.491, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 8810 MiB, 23700 MiB
2022/04/13 01:50:48.492, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 8758 MiB, 23752 MiB
2022/04/13 01:50:48.493, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 8758 MiB, 23752 MiB
2022/04/13 01:50:48.493, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 81 %, 32510 MiB, 8762 MiB, 23748 MiB
2022/04/13 01:50:48.494, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 8810 MiB, 23700 MiB
2022/04/13 01:50:48.495, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 88 %, 32510 MiB, 8690 MiB, 23820 MiB
2022/04/13 01:50:48.498, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 8642 MiB, 23868 MiB
2022/04/13 01:50:48.499, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 81 %, 32510 MiB, 8762 MiB, 23748 MiB
2022/04/13 01:50:48.500, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 8642 MiB, 23868 MiB
2022/04/13 01:50:48.501, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 8642 MiB, 23868 MiB
2022/04/13 01:50:48.501, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 8758 MiB, 23752 MiB
2022/04/13 01:50:48.502, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 81 %, 32510 MiB, 8762 MiB, 23748 MiB
2022/04/13 01:50:48.506, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 87 %, 32510 MiB, 8510 MiB, 24000 MiB
2022/04/13 01:50:48.507, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 8758 MiB, 23752 MiB
2022/04/13 01:50:48.507, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 87 %, 32510 MiB, 8510 MiB, 24000 MiB
2022/04/13 01:50:48.509, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 87 %, 32510 MiB, 8510 MiB, 24000 MiB
2022/04/13 01:50:48.509, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 8642 MiB, 23868 MiB
2022/04/13 01:50:48.510, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 84 %, 32510 MiB, 8758 MiB, 23752 MiB
2022/04/13 01:50:48.513, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 88 %, 32510 MiB, 8690 MiB, 23820 MiB
2022/04/13 01:50:48.514, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 77 %, 32510 MiB, 8642 MiB, 23868 MiB
2022/04/13 01:50:48.515, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 87 %, 32510 MiB, 8690 MiB, 23820 MiB
2022/04/13 01:50:48.516, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 87 %, 32510 MiB, 8690 MiB, 23820 MiB
2022/04/13 01:50:48.517, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8510 MiB, 24000 MiB
2022/04/13 01:50:48.518, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 77 %, 32510 MiB, 8642 MiB, 23868 MiB
2022/04/13 01:50:48.545, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8510 MiB, 24000 MiB
2022/04/13 01:50:48.559, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 87 %, 32510 MiB, 8690 MiB, 23820 MiB
2022/04/13 01:50:48.563, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8510 MiB, 24000 MiB
2022/04/13 01:50:48.584, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 87 %, 32510 MiB, 8690 MiB, 23820 MiB
2022/04/13 01:50:48.593, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 87 %, 32510 MiB, 8690 MiB, 23820 MiB
[rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86776, top1: 0.00082, throughput: 1333.44 | 2022-04-13 01:51:26.556
[rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86782, top1: 0.00084, throughput: 1333.54 | 2022-04-13 01:51:26.556
[rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86796, top1: 0.00098, throughput: 1333.46 | 2022-04-13 01:51:26.557
[rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86819, top1: 0.00072, throughput: 1333.42 | 2022-04-13 01:51:26.558
[rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86790, top1: 0.00086, throughput: 1333.35 | 2022-04-13 01:51:26.556
[rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86800, top1: 0.00086, throughput: 1333.47 | 2022-04-13 01:51:26.557
[rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86763, top1: 0.00094, throughput: 1333.38 | 2022-04-13 01:51:26.558
[rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86799, top1: 0.00078, throughput: 1333.38 | 2022-04-13 01:51:26.559
[rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86791, top1: 0.00109, throughput: 1327.37 | 2022-04-13 01:52:05.129
[rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86768, top1: 0.00094, throughput: 1327.39 | 2022-04-13 01:52:05.130
[rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86789, top1: 0.00109, throughput: 1327.42 | 2022-04-13 01:52:05.130
[rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86783, top1: 0.00100, throughput: 1327.45 | 2022-04-13 01:52:05.128
[rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86800, top1: 0.00082, throughput: 1327.36 | 2022-04-13 01:52:05.130
[rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86778, top1: 0.00082, throughput: 1327.37 | 2022-04-13 01:52:05.130
[rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86776, top1: 0.00090, throughput: 1327.30 | 2022-04-13 01:52:05.130
[rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86779, top1: 0.00105, throughput: 1327.30 | 2022-04-13 01:52:05.130