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: 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
/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

W20220430 02:35:27.261014  3664 rpc_client.cpp:190] LoadServer 10.7.49.80 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: 3.14408 s *****
[rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86713, top1: 0.00107, throughput: 454.80 | 2022-04-30 02:37:35.237
[rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86709, top1: 0.00096, throughput: 454.80 | 2022-04-30 02:37:35.238
[rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86757, top1: 0.00109, throughput: 454.79 | 2022-04-30 02:37:35.240
[rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86724, top1: 0.00086, throughput: 454.76 | 2022-04-30 02:37:35.240
[rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86705, top1: 0.00113, throughput: 454.79 | 2022-04-30 02:37:35.240
[rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86720, top1: 0.00104, throughput: 454.76 | 2022-04-30 02:37:35.242
[rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86714, top1: 0.00115, throughput: 454.77 | 2022-04-30 02:37:35.243
[rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86709, top1: 0.00111, throughput: 454.75 | 2022-04-30 02:37:35.243
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]
2022/04/30 02:37:35.565, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8561 MiB, 23949 MiB
2022/04/30 02:37:35.565, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8561 MiB, 23949 MiB
2022/04/30 02:37:35.566, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8561 MiB, 23949 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/30 02:37:35.572, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 45 %, 32510 MiB, 8548 MiB, 23962 MiB
2022/04/30 02:37:35.571, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8561 MiB, 23949 MiB
2022/04/30 02:37:35.573, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 45 %, 32510 MiB, 8548 MiB, 23962 MiB
2022/04/30 02:37:35.574, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 45 %, 32510 MiB, 8548 MiB, 23962 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/30 02:37:35.576, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8561 MiB, 23949 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/30 02:37:35.579, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 8702 MiB, 23808 MiB
2022/04/30 02:37:35.579, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 45 %, 32510 MiB, 8548 MiB, 23962 MiB
2022/04/30 02:37:35.580, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 8702 MiB, 23808 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/30 02:37:35.580, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 8702 MiB, 23808 MiB
2022/04/30 02:37:35.581, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8561 MiB, 23949 MiB
2022/04/30 02:37:35.583, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 45 %, 32510 MiB, 8548 MiB, 23962 MiB
2022/04/30 02:37:35.584, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8561 MiB, 23949 MiB
2022/04/30 02:37:35.585, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 77 %, 32510 MiB, 8654 MiB, 23856 MiB
2022/04/30 02:37:35.586, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 8702 MiB, 23808 MiB
2022/04/30 02:37:35.586, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 77 %, 32510 MiB, 8654 MiB, 23856 MiB
2022/04/30 02:37:35.587, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 77 %, 32510 MiB, 8654 MiB, 23856 MiB
2022/04/30 02:37:35.587, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8561 MiB, 23949 MiB
2022/04/30 02:37:35.589, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 45 %, 32510 MiB, 8548 MiB, 23962 MiB
2022/04/30 02:37:35.590, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 8702 MiB, 23808 MiB
2022/04/30 02:37:35.593, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 93 %, 32510 MiB, 8548 MiB, 23962 MiB
2022/04/30 02:37:35.593, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 72 %, 32510 MiB, 8650 MiB, 23860 MiB
2022/04/30 02:37:35.594, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 77 %, 32510 MiB, 8654 MiB, 23856 MiB
2022/04/30 02:37:35.595, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 72 %, 32510 MiB, 8650 MiB, 23860 MiB
2022/04/30 02:37:35.595, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 72 %, 32510 MiB, 8650 MiB, 23860 MiB
2022/04/30 02:37:35.596, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 93 %, 32510 MiB, 8548 MiB, 23962 MiB
2022/04/30 02:37:35.598, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 8702 MiB, 23808 MiB
2022/04/30 02:37:35.599, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 77 %, 32510 MiB, 8654 MiB, 23856 MiB
2022/04/30 02:37:35.601, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 8702 MiB, 23808 MiB
2022/04/30 02:37:35.602, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 8534 MiB, 23976 MiB
2022/04/30 02:37:35.602, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 72 %, 32510 MiB, 8650 MiB, 23860 MiB
2022/04/30 02:37:35.603, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 8534 MiB, 23976 MiB
2022/04/30 02:37:35.604, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 8534 MiB, 23976 MiB
2022/04/30 02:37:35.604, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 8702 MiB, 23808 MiB
2022/04/30 02:37:35.606, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 77 %, 32510 MiB, 8654 MiB, 23856 MiB
2022/04/30 02:37:35.607, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 8650 MiB, 23860 MiB
2022/04/30 02:37:35.609, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 77 %, 32510 MiB, 8654 MiB, 23856 MiB
2022/04/30 02:37:35.610, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8420 MiB, 24090 MiB
2022/04/30 02:37:35.610, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 8534 MiB, 23976 MiB
2022/04/30 02:37:35.611, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8420 MiB, 24090 MiB
2022/04/30 02:37:35.612, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8420 MiB, 24090 MiB
2022/04/30 02:37:35.613, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 77 %, 32510 MiB, 8654 MiB, 23856 MiB
2022/04/30 02:37:35.618, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 8650 MiB, 23860 MiB
2022/04/30 02:37:35.620, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 8534 MiB, 23976 MiB
2022/04/30 02:37:35.623, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 8650 MiB, 23860 MiB
2022/04/30 02:37:35.623, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 85 %, 32510 MiB, 8622 MiB, 23888 MiB
2022/04/30 02:37:35.623, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8420 MiB, 24090 MiB
2022/04/30 02:37:35.625, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 84 %, 32510 MiB, 8622 MiB, 23888 MiB
2022/04/30 02:37:35.625, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 84 %, 32510 MiB, 8622 MiB, 23888 MiB
2022/04/30 02:37:35.626, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 75 %, 32510 MiB, 8650 MiB, 23860 MiB
2022/04/30 02:37:35.632, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 80 %, 32510 MiB, 8534 MiB, 23976 MiB
2022/04/30 02:37:35.634, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8420 MiB, 24090 MiB
2022/04/30 02:37:35.640, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 80 %, 32510 MiB, 8534 MiB, 23976 MiB
2022/04/30 02:37:35.641, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 84 %, 32510 MiB, 8622 MiB, 23888 MiB
2022/04/30 02:37:35.663, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 80 %, 32510 MiB, 8534 MiB, 23976 MiB
2022/04/30 02:37:35.670, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8420 MiB, 24090 MiB
2022/04/30 02:37:35.671, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 84 %, 32510 MiB, 8622 MiB, 23888 MiB
2022/04/30 02:37:35.674, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8420 MiB, 24090 MiB
2022/04/30 02:37:35.679, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8420 MiB, 24090 MiB
2022/04/30 02:37:35.681, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 84 %, 32510 MiB, 8622 MiB, 23888 MiB
2022/04/30 02:37:35.691, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 84 %, 32510 MiB, 8622 MiB, 23888 MiB
2022/04/30 02:37:35.694, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 84 %, 32510 MiB, 8622 MiB, 23888 MiB
[rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86714, top1: 0.00107, throughput: 1354.91 | 2022-04-30 02:38:13.026
[rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86719, top1: 0.00107, throughput: 1354.93[rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86723, top1: 0.00098, throughput: 1355.08 | 2022-04-30 02:38:13.025 
| 2022-04-30 02:38:13.026
[rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86740, top1: 0.00111, throughput: 1355.05 | 2022-04-30 02:38:13.025
[rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86709, top1: 0.00107, throughput: 1355.09 | 2022-04-30 02:38:13.025
[rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86731, top1: 0.00092, throughput: 1354.94 | 2022-04-30 02:38:13.028
[rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86715, top1: 0.00119, throughput: 1355.04 | 2022-04-30 02:38:13.028
[rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86722, top1: 0.00131, throughput: 1354.94 | 2022-04-30 02:38:13.028
[rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86742, top1: 0.00117, throughput: 1363.99 | 2022-04-30 02:38:50.563
[rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86721, top1: 0.00127, throughput: 1363.97 | 2022-04-30 02:38:50.565
[rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86730, top1: 0.00092, throughput: 1363.88 | 2022-04-30 02:38:50.565
[rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86725, top1: 0.00115, throughput: 1363.95 | 2022-04-30 02:38:50.564
[rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86737, top1: 0.00104, throughput: 1364.01 | 2022-04-30 02:38:50.564
[rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86716, top1: 0.00125, throughput: 1363.86 | 2022-04-30 02:38:50.566
[rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86733, top1: 0.00117, throughput: 1363.97 | 2022-04-30 02:38:50.566
[rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86724, top1: 0.00131, throughput: 1363.93 | 2022-04-30 02:38:50.564