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: /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
W20220428 01:41:39.022450   404 rpc_client.cpp:190] LoadServer 10.7.183.15 Failed at 0 times error_code 14 error_message failed to connect to all addresses
W20220428 01:41:39.022454   405 rpc_client.cpp:190] LoadServer 10.7.183.15 Failed at 0 times error_code 14 error_message failed to connect to all addresses
W20220428 01:41:39.022447   403 rpc_client.cpp:190] LoadServer 10.7.183.15 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 .................................. 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: 2.86573 s *****
[rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86703, top1: 0.00092, throughput: 433.41 | 2022-04-28 01:43:52.269
[rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86691, top1: 0.00104, throughput: 433.40 | 2022-04-28 01:43:52.268
[rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86681, top1: 0.00092, throughput: 433.42 | 2022-04-28 01:43:52.268
[rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86692, top1: 0.00088, throughput: 433.41 | 2022-04-28 01:43:52.271
[rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86706, top1: 0.00086, throughput: 433.40 | 2022-04-28 01:43:52.271
[rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86708, top1: 0.00084, throughput: 433.42 | 2022-04-28 01:43:52.269
[rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86697, top1: 0.00111, throughput: 433.35 | 2022-04-28 01:43:52.283
[rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86682, top1: 0.00100, throughput: 433.31 | 2022-04-28 01:43:52.297
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/28 01:43:52.492, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 7793 MiB, 24717 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/28 01:43:52.498, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7802 MiB, 24708 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]
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/28 01:43:52.501, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 7970 MiB, 24540 MiB
2022/04/28 01:43:52.501, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 7793 MiB, 24717 MiB
2022/04/28 01:43:52.502, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 7793 MiB, 24717 MiB
2022/04/28 01:43:52.502, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 7793 MiB, 24717 MiB
2022/04/28 01:43:52.503, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 7793 MiB, 24717 MiB
2022/04/28 01:43:52.504, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 7793 MiB, 24717 MiB
2022/04/28 01:43:52.504, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 7793 MiB, 24717 MiB
2022/04/28 01:43:52.508, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 7898 MiB, 24612 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/28 01:43:52.508, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7802 MiB, 24708 MiB
2022/04/28 01:43:52.509, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7802 MiB, 24708 MiB
2022/04/28 01:43:52.510, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7802 MiB, 24708 MiB
2022/04/28 01:43:52.511, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7802 MiB, 24708 MiB
2022/04/28 01:43:52.512, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7802 MiB, 24708 MiB
2022/04/28 01:43:52.512, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7802 MiB, 24708 MiB
2022/04/28 01:43:52.528, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 72 %, 32510 MiB, 7914 MiB, 24596 MiB
2022/04/28 01:43:52.529, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 7970 MiB, 24540 MiB
2022/04/28 01:43:52.528, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 7793 MiB, 24717 MiB
2022/04/28 01:43:52.530, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 7970 MiB, 24540 MiB
2022/04/28 01:43:52.531, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 7970 MiB, 24540 MiB
2022/04/28 01:43:52.531, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 7970 MiB, 24540 MiB
2022/04/28 01:43:52.532, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 7970 MiB, 24540 MiB
2022/04/28 01:43:52.533, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 7970 MiB, 24540 MiB
2022/04/28 01:43:52.536, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7814 MiB, 24696 MiB
2022/04/28 01:43:52.536, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 7898 MiB, 24612 MiB
2022/04/28 01:43:52.537, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7802 MiB, 24708 MiB
2022/04/28 01:43:52.537, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 7898 MiB, 24612 MiB
2022/04/28 01:43:52.538, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 7898 MiB, 24612 MiB
2022/04/28 01:43:52.539, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 7898 MiB, 24612 MiB
2022/04/28 01:43:52.540, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 7898 MiB, 24612 MiB
2022/04/28 01:43:52.540, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 7898 MiB, 24612 MiB
2022/04/28 01:43:52.543, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7666 MiB, 24844 MiB
2022/04/28 01:43:52.544, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 72 %, 32510 MiB, 7914 MiB, 24596 MiB
2022/04/28 01:43:52.544, Tesla V100-SXM2-32GB, 470.57.02, 84 %, 75 %, 32510 MiB, 7970 MiB, 24540 MiB
2022/04/28 01:43:52.545, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 72 %, 32510 MiB, 7914 MiB, 24596 MiB
2022/04/28 01:43:52.546, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 72 %, 32510 MiB, 7914 MiB, 24596 MiB
2022/04/28 01:43:52.547, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 72 %, 32510 MiB, 7914 MiB, 24596 MiB
2022/04/28 01:43:52.548, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 72 %, 32510 MiB, 7914 MiB, 24596 MiB
2022/04/28 01:43:52.548, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 72 %, 32510 MiB, 7914 MiB, 24596 MiB
2022/04/28 01:43:52.551, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7850 MiB, 24660 MiB
2022/04/28 01:43:52.552, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7814 MiB, 24696 MiB
2022/04/28 01:43:52.552, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 7898 MiB, 24612 MiB
2022/04/28 01:43:52.553, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7814 MiB, 24696 MiB
2022/04/28 01:43:52.554, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7814 MiB, 24696 MiB
2022/04/28 01:43:52.555, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7814 MiB, 24696 MiB
2022/04/28 01:43:52.556, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7814 MiB, 24696 MiB
2022/04/28 01:43:52.556, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7814 MiB, 24696 MiB
2022/04/28 01:43:52.560, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7666 MiB, 24844 MiB
2022/04/28 01:43:52.561, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 72 %, 32510 MiB, 7914 MiB, 24596 MiB
2022/04/28 01:43:52.561, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7666 MiB, 24844 MiB
2022/04/28 01:43:52.562, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7666 MiB, 24844 MiB
2022/04/28 01:43:52.563, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7666 MiB, 24844 MiB
2022/04/28 01:43:52.564, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7666 MiB, 24844 MiB
2022/04/28 01:43:52.564, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7666 MiB, 24844 MiB
2022/04/28 01:43:52.568, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 64 %, 32510 MiB, 7850 MiB, 24660 MiB
2022/04/28 01:43:52.569, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7814 MiB, 24696 MiB
2022/04/28 01:43:52.569, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 64 %, 32510 MiB, 7850 MiB, 24660 MiB
2022/04/28 01:43:52.570, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 64 %, 32510 MiB, 7850 MiB, 24660 MiB
2022/04/28 01:43:52.571, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 64 %, 32510 MiB, 7850 MiB, 24660 MiB
2022/04/28 01:43:52.572, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 64 %, 32510 MiB, 7850 MiB, 24660 MiB
2022/04/28 01:43:52.572, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 64 %, 32510 MiB, 7850 MiB, 24660 MiB
2022/04/28 01:43:52.576, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7666 MiB, 24844 MiB
2022/04/28 01:43:52.583, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 64 %, 32510 MiB, 7850 MiB, 24660 MiB
[rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86704, top1: 0.00098, throughput: 1304.64 | 2022-04-28 01:44:31.527
[rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86707, top1: 0.00057, throughput: 1304.27 | 2022-04-28 01:44:31.526
[rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86682, top1: 0.00107, throughput: 1304.17 | 2022-04-28 01:44:31.527
[rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86699, top1: 0.00086, throughput: 1304.15 | 2022-04-28 01:44:31.528
[rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86697, top1: 0.00098, throughput: 1305.14 | 2022-04-28 01:44:31.527
[rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86710, top1: 0.00096, throughput: 1304.24 | 2022-04-28 01:44:31.528
[rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86719, top1: 0.00084, throughput: 1304.02 | 2022-04-28 01:44:31.531
[rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86711, top1: 0.00102, throughput: 1304.21 | 2022-04-28 01:44:31.527
[rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86676, top1: 0.00107, throughput: 1313.88 | 2022-04-28 01:45:10.496
[rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86696, top1: 0.00102, throughput: 1313.85 | 2022-04-28 01:45:10.496
[rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86675, top1: 0.00105, throughput: 1313.97 | 2022-04-28 01:45:10.494
[rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86691, top1: 0.00088, throughput: 1313.89 | 2022-04-28 01:45:10.495
[rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86669, top1: 0.00100, throughput: 1313.81 | 2022-04-28 01:45:10.497
[rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86671, top1: 0.00121, throughput: 1313.77 | 2022-04-28 01:45:10.499
[rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86678, top1: 0.00092, throughput: 1313.74 | 2022-04-28 01:45:10.500
[rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86672, top1: 0.00074, throughput: 1308.15 | 2022-04-28 01:45:10.671