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: 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: loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1/usr/lib/x86_64-linux-gnu/libibverbs.so.1

------------------------ 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 .................................. 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: 2.76744 s *****
[rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86740, top1: 0.00115, throughput: 421.06 | 2022-04-09 01:49:38.453
[rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86739, top1: 0.00098, throughput: 421.07 | 2022-04-09 01:49:38.453
[rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86742, top1: 0.00092, throughput: 421.06 | 2022-04-09 01:49:38.452
[rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86745, top1: 0.00102, throughput: 421.05 | 2022-04-09 01:49:38.455
[rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86741, top1: 0.00115, throughput: 421.06 | 2022-04-09 01:49:38.455
[rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86743, top1: 0.00098, throughput: 421.03 | 2022-04-09 01:49:38.459
[rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86748, top1: 0.00115, throughput: 421.07 | 2022-04-09 01:49:38.457
[rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86717, top1: 0.00143, throughput: 421.05 | 2022-04-09 01:49:38.455
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/09 01:49:38.731, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 85 %, 32510 MiB, 7773 MiB, 24737 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]
2022/04/09 01:49:38.739, Tesla V100-SXM2-32GB, 470.57.02, 92 %, 82 %, 32510 MiB, 7700 MiB, 24810 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]
2022/04/09 01:49:38.742, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 85 %, 32510 MiB, 7773 MiB, 24737 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/09 01:49:38.744, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 85 %, 32510 MiB, 7773 MiB, 24737 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/09 01:49:38.745, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7932 MiB, 24578 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/09 01:49:38.748, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 85 %, 32510 MiB, 7773 MiB, 24737 MiB
2022/04/09 01:49:38.749, Tesla V100-SXM2-32GB, 470.57.02, 92 %, 82 %, 32510 MiB, 7700 MiB, 24810 MiB
2022/04/09 01:49:38.749, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 85 %, 32510 MiB, 7773 MiB, 24737 MiB
2022/04/09 01:49:38.751, Tesla V100-SXM2-32GB, 470.57.02, 92 %, 82 %, 32510 MiB, 7700 MiB, 24810 MiB
2022/04/09 01:49:38.750, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 85 %, 32510 MiB, 7773 MiB, 24737 MiB
2022/04/09 01:49:38.751, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 85 %, 32510 MiB, 7773 MiB, 24737 MiB
2022/04/09 01:49:38.752, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 68 %, 32510 MiB, 7892 MiB, 24618 MiB
2022/04/09 01:49:38.752, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 85 %, 32510 MiB, 7773 MiB, 24737 MiB
2022/04/09 01:49:38.754, Tesla V100-SXM2-32GB, 470.57.02, 92 %, 82 %, 32510 MiB, 7700 MiB, 24810 MiB
2022/04/09 01:49:38.755, Tesla V100-SXM2-32GB, 470.57.02, 69 %, 60 %, 32510 MiB, 7932 MiB, 24578 MiB
2022/04/09 01:49:38.756, Tesla V100-SXM2-32GB, 470.57.02, 92 %, 82 %, 32510 MiB, 7700 MiB, 24810 MiB
2022/04/09 01:49:38.758, Tesla V100-SXM2-32GB, 470.57.02, 69 %, 60 %, 32510 MiB, 7932 MiB, 24578 MiB
2022/04/09 01:49:38.758, Tesla V100-SXM2-32GB, 470.57.02, 92 %, 82 %, 32510 MiB, 7700 MiB, 24810 MiB
2022/04/09 01:49:38.759, Tesla V100-SXM2-32GB, 470.57.02, 92 %, 82 %, 32510 MiB, 7700 MiB, 24810 MiB
2022/04/09 01:49:38.759, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7890 MiB, 24620 MiB
2022/04/09 01:49:38.760, Tesla V100-SXM2-32GB, 470.57.02, 92 %, 82 %, 32510 MiB, 7700 MiB, 24810 MiB
2022/04/09 01:49:38.763, Tesla V100-SXM2-32GB, 470.57.02, 69 %, 60 %, 32510 MiB, 7932 MiB, 24578 MiB
2022/04/09 01:49:38.764, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 68 %, 32510 MiB, 7892 MiB, 24618 MiB
2022/04/09 01:49:38.765, Tesla V100-SXM2-32GB, 470.57.02, 69 %, 60 %, 32510 MiB, 7932 MiB, 24578 MiB
2022/04/09 01:49:38.766, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 68 %, 32510 MiB, 7892 MiB, 24618 MiB
2022/04/09 01:49:38.767, Tesla V100-SXM2-32GB, 470.57.02, 69 %, 60 %, 32510 MiB, 7932 MiB, 24578 MiB
2022/04/09 01:49:38.767, Tesla V100-SXM2-32GB, 470.57.02, 69 %, 60 %, 32510 MiB, 7932 MiB, 24578 MiB
2022/04/09 01:49:38.768, Tesla V100-SXM2-32GB, 470.57.02, 84 %, 73 %, 32510 MiB, 7790 MiB, 24720 MiB
2022/04/09 01:49:38.768, Tesla V100-SXM2-32GB, 470.57.02, 69 %, 60 %, 32510 MiB, 7932 MiB, 24578 MiB
2022/04/09 01:49:38.770, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 68 %, 32510 MiB, 7892 MiB, 24618 MiB
2022/04/09 01:49:38.771, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7890 MiB, 24620 MiB
2022/04/09 01:49:38.772, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 68 %, 32510 MiB, 7892 MiB, 24618 MiB
2022/04/09 01:49:38.773, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7890 MiB, 24620 MiB
2022/04/09 01:49:38.774, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 68 %, 32510 MiB, 7892 MiB, 24618 MiB
2022/04/09 01:49:38.774, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 68 %, 32510 MiB, 7892 MiB, 24618 MiB
2022/04/09 01:49:38.775, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7620 MiB, 24890 MiB
2022/04/09 01:49:38.776, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 68 %, 32510 MiB, 7892 MiB, 24618 MiB
2022/04/09 01:49:38.777, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7890 MiB, 24620 MiB
2022/04/09 01:49:38.778, Tesla V100-SXM2-32GB, 470.57.02, 84 %, 73 %, 32510 MiB, 7790 MiB, 24720 MiB
2022/04/09 01:49:38.779, Tesla V100-SXM2-32GB, 470.57.02, 67 %, 56 %, 32510 MiB, 7890 MiB, 24620 MiB
2022/04/09 01:49:38.781, Tesla V100-SXM2-32GB, 470.57.02, 84 %, 73 %, 32510 MiB, 7790 MiB, 24720 MiB
2022/04/09 01:49:38.781, Tesla V100-SXM2-32GB, 470.57.02, 67 %, 56 %, 32510 MiB, 7890 MiB, 24620 MiB
2022/04/09 01:49:38.782, Tesla V100-SXM2-32GB, 470.57.02, 67 %, 56 %, 32510 MiB, 7890 MiB, 24620 MiB
2022/04/09 01:49:38.782, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 69 %, 32510 MiB, 7776 MiB, 24734 MiB
2022/04/09 01:49:38.783, Tesla V100-SXM2-32GB, 470.57.02, 67 %, 56 %, 32510 MiB, 7890 MiB, 24620 MiB
2022/04/09 01:49:38.785, Tesla V100-SXM2-32GB, 470.57.02, 84 %, 73 %, 32510 MiB, 7790 MiB, 24720 MiB
2022/04/09 01:49:38.786, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7620 MiB, 24890 MiB
2022/04/09 01:49:38.787, Tesla V100-SXM2-32GB, 470.57.02, 84 %, 73 %, 32510 MiB, 7790 MiB, 24720 MiB
2022/04/09 01:49:38.788, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7620 MiB, 24890 MiB
2022/04/09 01:49:38.788, Tesla V100-SXM2-32GB, 470.57.02, 84 %, 73 %, 32510 MiB, 7790 MiB, 24720 MiB
2022/04/09 01:49:38.789, Tesla V100-SXM2-32GB, 470.57.02, 84 %, 73 %, 32510 MiB, 7790 MiB, 24720 MiB
2022/04/09 01:49:38.790, Tesla V100-SXM2-32GB, 470.57.02, 84 %, 73 %, 32510 MiB, 7790 MiB, 24720 MiB
2022/04/09 01:49:38.792, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7620 MiB, 24890 MiB
2022/04/09 01:49:38.793, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 69 %, 32510 MiB, 7776 MiB, 24734 MiB
2022/04/09 01:49:38.794, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7620 MiB, 24890 MiB
2022/04/09 01:49:38.796, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 69 %, 32510 MiB, 7776 MiB, 24734 MiB
2022/04/09 01:49:38.796, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7620 MiB, 24890 MiB
2022/04/09 01:49:38.797, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7620 MiB, 24890 MiB
2022/04/09 01:49:38.798, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7620 MiB, 24890 MiB
2022/04/09 01:49:38.800, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 69 %, 32510 MiB, 7776 MiB, 24734 MiB
2022/04/09 01:49:38.802, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 69 %, 32510 MiB, 7776 MiB, 24734 MiB
2022/04/09 01:49:38.803, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 69 %, 32510 MiB, 7776 MiB, 24734 MiB
2022/04/09 01:49:38.804, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 69 %, 32510 MiB, 7776 MiB, 24734 MiB
2022/04/09 01:49:38.805, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 69 %, 32510 MiB, 7776 MiB, 24734 MiB
[rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86752, top1: 0.00082, throughput: 1365.63 | 2022-04-09 01:50:15.944
[rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86729, top1: 0.00092, throughput: 1365.62 | 2022-04-09 01:50:15.947
[rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86758, top1: 0.00115, throughput: 1365.63 | 2022-04-09 01:50:15.947
[rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86757, top1: 0.00090, throughput: 1365.58 | 2022-04-09 01:50:15.950
[rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86754, top1: 0.00082, throughput: 1365.54 | 2022-04-09 01:50:15.947
[rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86765, top1: 0.00094, throughput: 1365.58 | 2022-04-09 01:50:15.949
[rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86737, top1: 0.00111, throughput: 1365.70 | 2022-04-09 01:50:15.949
[rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86746, top1: 0.00102, throughput: 1365.56 | 2022-04-09 01:50:15.946
[rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86737, top1: 0.00082, throughput: 1338.53 | 2022-04-09 01:50:54.195
[rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86737, top1: 0.00105, throughput: 1338.55 | 2022-04-09 01:50:54.198
[rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86742, top1: 0.00104, throughput: 1338.50 | 2022-04-09 01:50:54.199
[rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86765, top1: 0.00100, throughput: 1338.54 | 2022-04-09 01:50:54.200
[rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86748, top1: 0.00119, throughput: 1338.50 | 2022-04-09 01:50:54.201
[rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86757, top1: 0.00084, throughput: 1338.56 | 2022-04-09 01:50:54.200
[rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86749, top1: 0.00092, throughput: 1338.47 | 2022-04-09 01:50:54.199
[rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86734, top1: 0.00105, throughput: 1338.55 | 2022-04-09 01:50:54.197