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: loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1
/usr/lib/x86_64-linux-gnu/libibverbs.so.1
W20220506 21:55:32.739959  5301 rpc_client.cpp:190] LoadServer 10.7.128.208 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: 3.11809 s *****
[rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86749, top1: 0.00078, throughput: 275.78 | 2022-05-06 21:57:21.012
[rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86708, top1: 0.00125, throughput: 275.80 | 2022-05-06 21:57:21.012
[rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86742, top1: 0.00078, throughput: 275.80[rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86708, top1: 0.00133, throughput: 275.82 | 2022-05-06 21:57:21.010
 | 2022-05-06 21:57:21.009
[rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86759, top1: 0.00113, throughput: 275.79 | 2022-05-06 21:57:21.011
[rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86727, top1: 0.00121, throughput: 275.81 | 2022-05-06 21:57:21.011
[rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86707, top1: 0.00086, throughput: 275.79 | 2022-05-06 21:57:21.012
[rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86779, top1: 0.00090, throughput: 275.78 | 2022-05-06 21:57:21.015
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]
2022/05/06 21:57:21.335, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8502 MiB, 24008 MiB
2022/05/06 21:57:21.341, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8502 MiB, 24008 MiB
2022/05/06 21:57:21.343, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8488 MiB, 24022 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/06 21:57:21.349, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8488 MiB, 24022 MiB
2022/05/06 21:57:21.351, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 56 %, 32510 MiB, 8630 MiB, 23880 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/06 21:57:21.351, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8502 MiB, 24008 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]
2022/05/06 21:57:21.355, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8630 MiB, 23880 MiB
2022/05/06 21:57:21.356, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8604 MiB, 23906 MiB
2022/05/06 21:57:21.357, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8488 MiB, 24022 MiB
2022/05/06 21:57:21.357, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8502 MiB, 24008 MiB
2022/05/06 21:57:21.358, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8502 MiB, 24008 MiB
2022/05/06 21:57:21.364, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8502 MiB, 24008 MiB
2022/05/06 21:57:21.364, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8502 MiB, 24008 MiB
2022/05/06 21:57:21.365, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8502 MiB, 24008 MiB
2022/05/06 21:57:21.367, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8604 MiB, 23906 MiB
2022/05/06 21:57:21.368, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8630 MiB, 23880 MiB
2022/05/06 21:57:21.369, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8630 MiB, 23880 MiB
2022/05/06 21:57:21.370, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8488 MiB, 24022 MiB
2022/05/06 21:57:21.372, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8488 MiB, 24022 MiB
2022/05/06 21:57:21.374, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8488 MiB, 24022 MiB
2022/05/06 21:57:21.374, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8488 MiB, 24022 MiB
2022/05/06 21:57:21.374, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8488 MiB, 24022 MiB
2022/05/06 21:57:21.375, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8630 MiB, 23880 MiB
2022/05/06 21:57:21.377, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8448 MiB, 24062 MiB
2022/05/06 21:57:21.378, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8604 MiB, 23906 MiB
2022/05/06 21:57:21.379, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8630 MiB, 23880 MiB
2022/05/06 21:57:21.380, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8630 MiB, 23880 MiB
2022/05/06 21:57:21.382, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8630 MiB, 23880 MiB
2022/05/06 21:57:21.382, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8630 MiB, 23880 MiB
2022/05/06 21:57:21.382, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8630 MiB, 23880 MiB
2022/05/06 21:57:21.384, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8448 MiB, 24062 MiB
2022/05/06 21:57:21.386, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8320 MiB, 24190 MiB
2022/05/06 21:57:21.386, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8630 MiB, 23880 MiB
2022/05/06 21:57:21.387, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8604 MiB, 23906 MiB
2022/05/06 21:57:21.389, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8604 MiB, 23906 MiB
2022/05/06 21:57:21.391, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8604 MiB, 23906 MiB
2022/05/06 21:57:21.391, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8604 MiB, 23906 MiB
2022/05/06 21:57:21.391, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8604 MiB, 23906 MiB
2022/05/06 21:57:21.393, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8320 MiB, 24190 MiB
2022/05/06 21:57:21.394, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8470 MiB, 24040 MiB
2022/05/06 21:57:21.395, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8448 MiB, 24062 MiB
2022/05/06 21:57:21.396, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8630 MiB, 23880 MiB
2022/05/06 21:57:21.398, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8630 MiB, 23880 MiB
2022/05/06 21:57:21.399, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8630 MiB, 23880 MiB
2022/05/06 21:57:21.400, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8630 MiB, 23880 MiB
2022/05/06 21:57:21.400, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8630 MiB, 23880 MiB
2022/05/06 21:57:21.401, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8470 MiB, 24040 MiB
2022/05/06 21:57:21.404, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8320 MiB, 24190 MiB
2022/05/06 21:57:21.405, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8448 MiB, 24062 MiB
2022/05/06 21:57:21.412, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8448 MiB, 24062 MiB
2022/05/06 21:57:21.414, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8448 MiB, 24062 MiB
2022/05/06 21:57:21.414, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8448 MiB, 24062 MiB
2022/05/06 21:57:21.414, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8448 MiB, 24062 MiB
2022/05/06 21:57:21.418, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8470 MiB, 24040 MiB
2022/05/06 21:57:21.419, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8320 MiB, 24190 MiB
2022/05/06 21:57:21.421, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8320 MiB, 24190 MiB
2022/05/06 21:57:21.422, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8320 MiB, 24190 MiB
2022/05/06 21:57:21.423, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8320 MiB, 24190 MiB
2022/05/06 21:57:21.423, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8320 MiB, 24190 MiB
2022/05/06 21:57:21.427, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8470 MiB, 24040 MiB
2022/05/06 21:57:21.429, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8470 MiB, 24040 MiB
2022/05/06 21:57:21.430, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8470 MiB, 24040 MiB
2022/05/06 21:57:21.430, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8470 MiB, 24040 MiB
2022/05/06 21:57:21.431, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8470 MiB, 24040 MiB
[rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86747, top1: 0.00094, throughput: 378.55 | 2022-05-06 21:58:28.639
[rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86729, top1: 0.00133, throughput: 378.54[rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86728, top1: 0.00109, throughput: 378.53 | 2022-05-06 21:58:28.641 
| 2022-05-06 21:58:28.640
[rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86741, top1: 0.00086, throughput: 378.54 | 2022-05-06 21:58:28.641
[rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86717, top1: 0.00109, throughput: 378.53 | 2022-05-06 21:58:28.642
[rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86702, top1: 0.00133, throughput: 378.52 | 2022-05-06 21:58:28.642
[rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86745, top1: 0.00125, throughput: 378.53 | 2022-05-06 21:58:28.640
[rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86744, top1: 0.00094, throughput: 378.53 | 2022-05-06 21:58:28.644
[rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86747, top1: 0.00109, throughput: 378.50 | 2022-05-06 21:59:36.275
[rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86734, top1: 0.00086, throughput: 378.50 | 2022-05-06 21:59:36.276
[rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86720, top1: 0.00094, throughput: 378.50 | 2022-05-06 21:59:36.275
[rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86730, top1: 0.00121, throughput: 378.51[rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86732, top1: 0.00074, throughput: 378.49 | 2022-05-06 21:59:36.276
 | 2022-05-06 21:59:36.275
[rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86744, top1: 0.00090, throughput: 378.51 | 2022-05-06 21:59:36.277
[rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86747, top1: 0.00059, throughput: 378.50 | 2022-05-06 21:59:36.276
[rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86710, top1: 0.00109, throughput: 378.51 | 2022-05-06 21:59:36.275