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: 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
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
W20220419 02:07:55.027446  3678 rpc_client.cpp:190] LoadServer 10.7.94.0 Failed at 0 times error_code 14 error_message failed to connect to all addresses
W20220419 02:07:55.027491  3669 rpc_client.cpp:190] LoadServer 10.7.94.0 Failed at 0 times error_code 14 error_message failed to connect to all addresses
W20220419 02:07:55.027663  3667 rpc_client.cpp:190] LoadServer 10.7.94.0 Failed at 0 times error_code 14 error_message failed to connect to all addresses
W20220419 02:07:55.027727  3672 rpc_client.cpp:190] LoadServer 10.7.94.0 Failed at 0 times error_code 14 error_message failed to connect to all addresses
W20220419 02:07:55.026940  3668 rpc_client.cpp:190] LoadServer 10.7.94.0 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: 2.65507 s *****
[rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86765, top1: 0.00121, throughput: 458.80[rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86778, top1: 0.00119, throughput: 458.75 | 2022-04-19 02:10:01.677
 | 2022-04-19 02:10:01.676
[rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86757, top1: 0.00084, throughput: 459.00 | 2022-04-19 02:10:01.680
[rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86768, top1: 0.00137, throughput: 458.58 | 2022-04-19 02:10:01.678
[rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86767, top1: 0.00111, throughput: 458.77 | 2022-04-19 02:10:01.680
[rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86766, top1: 0.00094, throughput: 458.62 | 2022-04-19 02:10:01.680
[rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86748, top1: 0.00125, throughput: 458.56 | 2022-04-19 02:10:01.679
[rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86758, top1: 0.00146, throughput: 458.52 | 2022-04-19 02:10:01.678
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]
2022/04/19 02:10:02.026, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 8561 MiB, 23949 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]
2022/04/19 02:10:02.029, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 8561 MiB, 23949 MiB
2022/04/19 02:10:02.029, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 8561 MiB, 23949 MiB
2022/04/19 02:10:02.033, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 89 %, 32510 MiB, 8550 MiB, 23960 MiB
2022/04/19 02:10:02.034, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 8561 MiB, 23949 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/19 02:10:02.035, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 8561 MiB, 23949 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/19 02:10:02.037, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 89 %, 32510 MiB, 8550 MiB, 23960 MiB
2022/04/19 02:10:02.038, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 89 %, 32510 MiB, 8550 MiB, 23960 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/19 02:10:02.040, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 92 %, 32510 MiB, 8722 MiB, 23788 MiB
2022/04/19 02:10:02.041, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 86 %, 32510 MiB, 8550 MiB, 23960 MiB
2022/04/19 02:10:02.042, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 70 %, 32510 MiB, 8561 MiB, 23949 MiB
2022/04/19 02:10:02.043, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 86 %, 32510 MiB, 8550 MiB, 23960 MiB
2022/04/19 02:10:02.044, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 92 %, 32510 MiB, 8722 MiB, 23788 MiB
2022/04/19 02:10:02.044, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 70 %, 32510 MiB, 8561 MiB, 23949 MiB
2022/04/19 02:10:02.050, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 92 %, 32510 MiB, 8722 MiB, 23788 MiB
2022/04/19 02:10:02.065, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 70 %, 32510 MiB, 8561 MiB, 23949 MiB
2022/04/19 02:10:02.071, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 77 %, 32510 MiB, 8674 MiB, 23836 MiB
2022/04/19 02:10:02.090, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 92 %, 32510 MiB, 8722 MiB, 23788 MiB
2022/04/19 02:10:02.095, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 86 %, 32510 MiB, 8550 MiB, 23960 MiB
2022/04/19 02:10:02.095, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 92 %, 32510 MiB, 8722 MiB, 23788 MiB
2022/04/19 02:10:02.101, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 77 %, 32510 MiB, 8674 MiB, 23836 MiB
2022/04/19 02:10:02.102, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 86 %, 32510 MiB, 8550 MiB, 23960 MiB
2022/04/19 02:10:02.103, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 77 %, 32510 MiB, 8674 MiB, 23836 MiB
2022/04/19 02:10:02.105, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 86 %, 32510 MiB, 8550 MiB, 23960 MiB
2022/04/19 02:10:02.106, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 79 %, 32510 MiB, 8692 MiB, 23818 MiB
2022/04/19 02:10:02.109, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 77 %, 32510 MiB, 8674 MiB, 23836 MiB
2022/04/19 02:10:02.111, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 92 %, 32510 MiB, 8722 MiB, 23788 MiB
2022/04/19 02:10:02.113, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 77 %, 32510 MiB, 8674 MiB, 23836 MiB
2022/04/19 02:10:02.119, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 79 %, 32510 MiB, 8692 MiB, 23818 MiB
2022/04/19 02:10:02.120, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 92 %, 32510 MiB, 8722 MiB, 23788 MiB
2022/04/19 02:10:02.122, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 79 %, 32510 MiB, 8692 MiB, 23818 MiB
2022/04/19 02:10:02.124, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 92 %, 32510 MiB, 8722 MiB, 23788 MiB
2022/04/19 02:10:02.125, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8536 MiB, 23974 MiB
2022/04/19 02:10:02.128, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 79 %, 32510 MiB, 8692 MiB, 23818 MiB
2022/04/19 02:10:02.129, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 77 %, 32510 MiB, 8674 MiB, 23836 MiB
2022/04/19 02:10:02.129, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 79 %, 32510 MiB, 8692 MiB, 23818 MiB
2022/04/19 02:10:02.137, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8536 MiB, 23974 MiB
2022/04/19 02:10:02.140, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 77 %, 32510 MiB, 8674 MiB, 23836 MiB
2022/04/19 02:10:02.141, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8536 MiB, 23974 MiB
2022/04/19 02:10:02.142, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 77 %, 32510 MiB, 8674 MiB, 23836 MiB
2022/04/19 02:10:02.144, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8444 MiB, 24066 MiB
2022/04/19 02:10:02.146, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8536 MiB, 23974 MiB
2022/04/19 02:10:02.148, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 79 %, 32510 MiB, 8692 MiB, 23818 MiB
2022/04/19 02:10:02.148, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8536 MiB, 23974 MiB
2022/04/19 02:10:02.149, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8444 MiB, 24066 MiB
2022/04/19 02:10:02.152, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 79 %, 32510 MiB, 8692 MiB, 23818 MiB
2022/04/19 02:10:02.159, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8444 MiB, 24066 MiB
2022/04/19 02:10:02.161, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 79 %, 32510 MiB, 8692 MiB, 23818 MiB
2022/04/19 02:10:02.162, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8624 MiB, 23886 MiB
2022/04/19 02:10:02.164, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8444 MiB, 24066 MiB
2022/04/19 02:10:02.166, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8536 MiB, 23974 MiB
2022/04/19 02:10:02.166, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8444 MiB, 24066 MiB
2022/04/19 02:10:02.168, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8624 MiB, 23886 MiB
2022/04/19 02:10:02.169, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8536 MiB, 23974 MiB
2022/04/19 02:10:02.170, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8624 MiB, 23886 MiB
2022/04/19 02:10:02.183, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8536 MiB, 23974 MiB
2022/04/19 02:10:02.186, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8624 MiB, 23886 MiB
2022/04/19 02:10:02.187, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8444 MiB, 24066 MiB
2022/04/19 02:10:02.188, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8624 MiB, 23886 MiB
2022/04/19 02:10:02.190, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8444 MiB, 24066 MiB
2022/04/19 02:10:02.207, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8444 MiB, 24066 MiB
2022/04/19 02:10:02.215, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8624 MiB, 23886 MiB
2022/04/19 02:10:02.218, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8624 MiB, 23886 MiB
2022/04/19 02:10:02.220, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8624 MiB, 23886 MiB
[rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86777, top1: 0.00121, throughput: 1359.83 | 2022-04-19 02:10:39.329
[rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86773, top1: 0.00117, throughput: 1359.83 | 2022-04-19 02:10:39.332
[rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86736, top1: 0.00133, throughput: 1359.75 | 2022-04-19 02:10:39.334
[rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86767, top1: 0.00131, throughput: 1359.83 | 2022-04-19 02:10:39.328[rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86763, top1: 0.00127, throughput: 1359.75 | 2022-04-19 02:10:39.332

[rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86744, top1: 0.00096, throughput: 1359.76 | 2022-04-19 02:10:39.334
[rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86777, top1: 0.00105, throughput: 1359.74 | 2022-04-19 02:10:39.333
[rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86770, top1: 0.00133, throughput: 1359.81 | 2022-04-19 02:10:39.331
[rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86750, top1: 0.00104, throughput: 1379.33 | 2022-04-19 02:11:16.452
[rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86732, top1: 0.00146, throughput: 1379.12 | 2022-04-19 02:11:16.454
[rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86757, top1: 0.00127, throughput: 1379.11 | 2022-04-19 02:11:16.456
[rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86780, top1: 0.00119, throughput: 1379.11 | 2022-04-19 02:11:16.454
[rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86749, top1: 0.00111, throughput: 1379.21 | 2022-04-19 02:11:16.454
[rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86776, top1: 0.00113, throughput: 1379.25 | 2022-04-19 02:11:16.455
[rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86758, top1: 0.00113, throughput: 1379.20 | 2022-04-19 02:11:16.457
[rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86755, top1: 0.00121, throughput: 1379.14 | 2022-04-19 02:11:16.456