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: 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
W20220413 01:44:15.143347  2038 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 01:44:15.144115  2039 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 01:44:15.144114  2040 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 ............................... 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 .................................. 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: 2.89705 s *****
[rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86750, top1: 0.00102, throughput: 253.79 | 2022-04-13 01:46:11.140
[rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86757, top1: 0.00145, throughput: 253.78 | 2022-04-13 01:46:11.142
[rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86741, top1: 0.00102, throughput: 253.77 | 2022-04-13 01:46:11.140
[rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86763, top1: 0.00102, throughput: 253.77 | 2022-04-13 01:46:11.140
[rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86799, top1: 0.00074, throughput: 253.78 | 2022-04-13 01:46:11.142
[rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86775, top1: 0.00117, throughput: 253.77 | 2022-04-13 01:46:11.141
[rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86725, top1: 0.00125, throughput: 253.77 | 2022-04-13 01:46:11.141
[rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86765, top1: 0.00090, throughput: 253.78 | 2022-04-13 01:46:11.143
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 01:46:11.446, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7751 MiB, 24759 MiB
2022/04/13 01:46:11.450, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7751 MiB, 24759 MiB
2022/04/13 01:46:11.450, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7751 MiB, 24759 MiB
2022/04/13 01:46:11.454, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7792 MiB, 24718 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/13 01:46:11.458, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7792 MiB, 24718 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/13 01:46:11.459, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7792 MiB, 24718 MiB
2022/04/13 01:46:11.463, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7938 MiB, 24572 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 01:46:11.466, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7938 MiB, 24572 MiB
2022/04/13 01:46:11.466, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7751 MiB, 24759 MiB
2022/04/13 01:46:11.466, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7938 MiB, 24572 MiB
2022/04/13 01:46:11.466, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7751 MiB, 24759 MiB
2022/04/13 01:46:11.468, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7908 MiB, 24602 MiB
2022/04/13 01:46:11.469, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7751 MiB, 24759 MiB
2022/04/13 01:46:11.470, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7751 MiB, 24759 MiB
2022/04/13 01:46:11.471, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7751 MiB, 24759 MiB
2022/04/13 01:46:11.473, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7908 MiB, 24602 MiB
2022/04/13 01:46:11.473, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7792 MiB, 24718 MiB
2022/04/13 01:46:11.473, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7908 MiB, 24602 MiB
2022/04/13 01:46:11.474, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7792 MiB, 24718 MiB
2022/04/13 01:46:11.476, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7988 MiB, 24522 MiB
2022/04/13 01:46:11.478, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7792 MiB, 24718 MiB
2022/04/13 01:46:11.479, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7792 MiB, 24718 MiB
2022/04/13 01:46:11.480, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7792 MiB, 24718 MiB
2022/04/13 01:46:11.483, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7988 MiB, 24522 MiB
2022/04/13 01:46:11.484, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7938 MiB, 24572 MiB
2022/04/13 01:46:11.484, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7988 MiB, 24522 MiB
2022/04/13 01:46:11.485, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7938 MiB, 24572 MiB
2022/04/13 01:46:11.487, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7814 MiB, 24696 MiB
2022/04/13 01:46:11.489, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7938 MiB, 24572 MiB
2022/04/13 01:46:11.490, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7938 MiB, 24572 MiB
2022/04/13 01:46:11.491, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7938 MiB, 24572 MiB
2022/04/13 01:46:11.492, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7814 MiB, 24696 MiB
2022/04/13 01:46:11.492, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7908 MiB, 24602 MiB
2022/04/13 01:46:11.492, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7814 MiB, 24696 MiB
2022/04/13 01:46:11.493, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7908 MiB, 24602 MiB
2022/04/13 01:46:11.495, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7710 MiB, 24800 MiB
2022/04/13 01:46:11.500, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7908 MiB, 24602 MiB
2022/04/13 01:46:11.503, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7908 MiB, 24602 MiB
2022/04/13 01:46:11.507, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7908 MiB, 24602 MiB
2022/04/13 01:46:11.508, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7710 MiB, 24800 MiB
2022/04/13 01:46:11.509, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7988 MiB, 24522 MiB
2022/04/13 01:46:11.509, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7710 MiB, 24800 MiB
2022/04/13 01:46:11.510, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7988 MiB, 24522 MiB
2022/04/13 01:46:11.513, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7830 MiB, 24680 MiB
2022/04/13 01:46:11.515, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7988 MiB, 24522 MiB
2022/04/13 01:46:11.517, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7988 MiB, 24522 MiB
2022/04/13 01:46:11.518, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7988 MiB, 24522 MiB
2022/04/13 01:46:11.519, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7830 MiB, 24680 MiB
2022/04/13 01:46:11.520, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7814 MiB, 24696 MiB
2022/04/13 01:46:11.520, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7830 MiB, 24680 MiB
2022/04/13 01:46:11.521, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7814 MiB, 24696 MiB
2022/04/13 01:46:11.525, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7814 MiB, 24696 MiB
2022/04/13 01:46:11.527, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7814 MiB, 24696 MiB
2022/04/13 01:46:11.527, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7814 MiB, 24696 MiB
2022/04/13 01:46:11.529, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7710 MiB, 24800 MiB
2022/04/13 01:46:11.530, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7710 MiB, 24800 MiB
2022/04/13 01:46:11.541, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7710 MiB, 24800 MiB
2022/04/13 01:46:11.542, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7710 MiB, 24800 MiB
2022/04/13 01:46:11.543, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7710 MiB, 24800 MiB
2022/04/13 01:46:11.544, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7830 MiB, 24680 MiB
2022/04/13 01:46:11.545, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7830 MiB, 24680 MiB
2022/04/13 01:46:11.561, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7830 MiB, 24680 MiB
2022/04/13 01:46:11.562, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7830 MiB, 24680 MiB
2022/04/13 01:46:11.565, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7830 MiB, 24680 MiB
[rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86780, top1: 0.00074, throughput: 371.57 | 2022-04-13 01:47:20.038
[rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86810, top1: 0.00141, throughput: 371.56 | 2022-04-13 01:47:20.038
[rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86764, top1: 0.00090, throughput: 371.56 | 2022-04-13 01:47:20.038
[rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86744, top1: 0.00125, throughput: 371.56 | 2022-04-13 01:47:20.039
[rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86781, top1: 0.00090, throughput: 371.56 | 2022-04-13 01:47:20.038
[rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86764, top1: 0.00082, throughput: 371.57 | 2022-04-13 01:47:20.038
[rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86777, top1: 0.00082, throughput: 371.56 | 2022-04-13 01:47:20.040
[rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86746, top1: 0.00094, throughput: 371.56 | 2022-04-13 01:47:20.041
[rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86750, top1: 0.00090, throughput: 374.81 | 2022-04-13 01:48:28.342
[rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86773, top1: 0.00117, throughput: 374.76 | 2022-04-13 01:48:28.348
[rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86782, top1: 0.00043, throughput: 374.76 | 2022-04-13 01:48:28.349
[rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86752, top1: 0.00094, throughput: 374.76 | 2022-04-13 01:48:28.349
[rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86746, top1: 0.00094, throughput: 374.76 | 2022-04-13 01:48:28.349
[rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86754, top1: 0.00086, throughput: 374.76 | 2022-04-13 01:48:28.350
[rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86760, top1: 0.00094, throughput: 374.76 | 2022-04-13 01:48:28.349
[rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86776, top1: 0.00051, throughput: 374.75 | 2022-04-13 01:48:28.351