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: 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
W20220408 09:57:30.539808  2039 rpc_client.cpp:190] LoadServer 10.7.235.128 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: 2.74622 s *****
[rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86725, top1: 0.00094, throughput: 259.98 | 2022-04-08 09:59:24.235
[rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86718, top1: 0.00105, throughput: 259.97 | 2022-04-08 09:59:24.236
[rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86719, top1: 0.00145, throughput: 259.97 | 2022-04-08 09:59:24.238
[rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86725, top1: 0.00137, throughput: 259.99 | 2022-04-08 09:59:24.236
[rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86736, top1: 0.00133, throughput: 259.98 | 2022-04-08 09:59:24.236
[rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86731, top1: 0.00125, throughput: 259.99 | 2022-04-08 09:59:24.235
[rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86699, top1: 0.00082, throughput: 259.98 | 2022-04-08 09:59:24.237
[rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86699, top1: 0.00113, throughput: 259.98 | 2022-04-08 09:59:24.236
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]
2022/04/08 09:59:24.495, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7755 MiB, 24755 MiB
2022/04/08 09:59:24.497, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7755 MiB, 24755 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]
2022/04/08 09:59:24.503, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7728 MiB, 24782 MiB
2022/04/08 09:59:24.504, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7728 MiB, 24782 MiB
2022/04/08 09:59:24.506, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7755 MiB, 24755 MiB
2022/04/08 09:59:24.507, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7755 MiB, 24755 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/08 09:59:24.509, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7904 MiB, 24606 MiB
2022/04/08 09:59:24.511, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7904 MiB, 24606 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/08 09:59:24.516, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7728 MiB, 24782 MiB
2022/04/08 09:59:24.517, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7728 MiB, 24782 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]
2022/04/08 09:59:24.518, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7782 MiB, 24728 MiB
2022/04/08 09:59:24.517, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7755 MiB, 24755 MiB
2022/04/08 09:59:24.519, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7782 MiB, 24728 MiB
2022/04/08 09:59:24.522, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 7904 MiB, 24606 MiB
2022/04/08 09:59:24.522, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 7904 MiB, 24606 MiB
2022/04/08 09:59:24.521, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7755 MiB, 24755 MiB
2022/04/08 09:59:24.529, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7755 MiB, 24755 MiB
2022/04/08 09:59:24.531, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7882 MiB, 24628 MiB
2022/04/08 09:59:24.530, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7755 MiB, 24755 MiB
2022/04/08 09:59:24.531, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7728 MiB, 24782 MiB
2022/04/08 09:59:24.533, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7882 MiB, 24628 MiB
2022/04/08 09:59:24.539, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7782 MiB, 24728 MiB
2022/04/08 09:59:24.539, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7782 MiB, 24728 MiB
2022/04/08 09:59:24.540, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7728 MiB, 24782 MiB
2022/04/08 09:59:24.540, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7728 MiB, 24782 MiB
2022/04/08 09:59:24.541, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7674 MiB, 24836 MiB
2022/04/08 09:59:24.541, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7728 MiB, 24782 MiB
2022/04/08 09:59:24.541, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 7904 MiB, 24606 MiB
2022/04/08 09:59:24.543, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7674 MiB, 24836 MiB
2022/04/08 09:59:24.547, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7882 MiB, 24628 MiB
2022/04/08 09:59:24.547, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7882 MiB, 24628 MiB
2022/04/08 09:59:24.547, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 7904 MiB, 24606 MiB
2022/04/08 09:59:24.548, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 7904 MiB, 24606 MiB
2022/04/08 09:59:24.549, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7576 MiB, 24934 MiB
2022/04/08 09:59:24.549, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 7904 MiB, 24606 MiB
2022/04/08 09:59:24.549, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7782 MiB, 24728 MiB
2022/04/08 09:59:24.551, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7576 MiB, 24934 MiB
2022/04/08 09:59:24.556, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7674 MiB, 24836 MiB
2022/04/08 09:59:24.556, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7674 MiB, 24836 MiB
2022/04/08 09:59:24.557, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7782 MiB, 24728 MiB
2022/04/08 09:59:24.561, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7782 MiB, 24728 MiB
2022/04/08 09:59:24.562, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7734 MiB, 24776 MiB
2022/04/08 09:59:24.562, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7782 MiB, 24728 MiB
2022/04/08 09:59:24.562, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7882 MiB, 24628 MiB
2022/04/08 09:59:24.564, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7734 MiB, 24776 MiB
2022/04/08 09:59:24.568, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7576 MiB, 24934 MiB
2022/04/08 09:59:24.568, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7576 MiB, 24934 MiB
2022/04/08 09:59:24.568, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7882 MiB, 24628 MiB
2022/04/08 09:59:24.570, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7882 MiB, 24628 MiB
2022/04/08 09:59:24.570, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7882 MiB, 24628 MiB
2022/04/08 09:59:24.570, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7674 MiB, 24836 MiB
2022/04/08 09:59:24.578, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7734 MiB, 24776 MiB
2022/04/08 09:59:24.578, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7734 MiB, 24776 MiB
2022/04/08 09:59:24.579, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7674 MiB, 24836 MiB
2022/04/08 09:59:24.580, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7674 MiB, 24836 MiB
2022/04/08 09:59:24.580, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7674 MiB, 24836 MiB
2022/04/08 09:59:24.581, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7576 MiB, 24934 MiB
2022/04/08 09:59:24.587, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7576 MiB, 24934 MiB
2022/04/08 09:59:24.588, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7576 MiB, 24934 MiB
2022/04/08 09:59:24.588, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7576 MiB, 24934 MiB
2022/04/08 09:59:24.588, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7734 MiB, 24776 MiB
2022/04/08 09:59:24.596, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7734 MiB, 24776 MiB
2022/04/08 09:59:24.597, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7734 MiB, 24776 MiB
2022/04/08 09:59:24.597, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7734 MiB, 24776 MiB
[rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86723, top1: 0.00109, throughput: 384.44 | 2022-04-08 10:00:30.825
[rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86709, top1: 0.00090, throughput: 384.40 | 2022-04-08 10:00:30.832
[rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86739, top1: 0.00066, throughput: 384.41 | 2022-04-08 10:00:30.832
[rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86716, top1: 0.00125, throughput: 384.40 | 2022-04-08 10:00:30.833
[rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86721, top1: 0.00113, throughput: 384.40 | 2022-04-08 10:00:30.834
[rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86759, top1: 0.00086, throughput: 384.40 | 2022-04-08 10:00:30.834
[rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86719, top1: 0.00121, throughput: 384.40 | 2022-04-08 10:00:30.834
[rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86718, top1: 0.00086, throughput: 384.41 | 2022-04-08 10:00:30.833
[rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86726, top1: 0.00109, throughput: 387.77 | 2022-04-08 10:01:36.844
[rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86696, top1: 0.00086, throughput: 387.81 | 2022-04-08 10:01:36.844
[rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86714, top1: 0.00137, throughput: 387.81 | 2022-04-08 10:01:36.845
[rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86752, top1: 0.00066, throughput: 387.81 | 2022-04-08 10:01:36.845
[rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86716, top1: 0.00094, throughput: 387.81 | 2022-04-08 10:01:36.845
[rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86713, top1: 0.00066, throughput: 387.81 | 2022-04-08 10:01:36.846
[rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86777, top1: 0.00129, throughput: 387.81 | 2022-04-08 10:01:36.844
[rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86730, top1: 0.00082, throughput: 387.81 | 2022-04-08 10:01:36.845