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: 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: /usr/lib/x86_64-linux-gnu/libibverbs.so.1
W20220502 02:00:53.336211  2038 rpc_client.cpp:190] LoadServer 10.7.76.124 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: 3.10518 s *****
[rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86729, top1: 0.00098, throughput: 262.76 | 2022-05-02 02:02:46.165
[rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86733, top1: 0.00105, throughput: 262.78 | 2022-05-02 02:02:46.165
[rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86744, top1: 0.00121, throughput: 262.78 | 2022-05-02 02:02:46.165
[rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86741, top1: 0.00070, throughput: 262.76 | 2022-05-02 02:02:46.165
[rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86727, top1: 0.00121, throughput: 262.76 | 2022-05-02 02:02:46.165
[rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86704, top1: 0.00121, throughput: 262.77 | 2022-05-02 02:02:46.165
[rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86735, top1: 0.00102, throughput: 262.75 | 2022-05-02 02:02:46.166
[rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86747, top1: 0.00105, throughput: 262.76 | 2022-05-02 02:02:46.167
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]
2022/05/02 02:02:46.408, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7797 MiB, 24713 MiB
2022/05/02 02:02:46.409, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7797 MiB, 24713 MiB
2022/05/02 02:02:46.415, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7718 MiB, 24792 MiB
2022/05/02 02:02:46.416, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7718 MiB, 24792 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]
2022/05/02 02:02:46.421, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7894 MiB, 24616 MiB
2022/05/02 02:02:46.422, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7894 MiB, 24616 MiB
2022/05/02 02:02:46.434, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7906 MiB, 24604 MiB
2022/05/02 02:02:46.433, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7797 MiB, 24713 MiB
2022/05/02 02:02:46.433, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7797 MiB, 24713 MiB
2022/05/02 02:02:46.434, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7906 MiB, 24604 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/02 02:02:46.443, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7914 MiB, 24596 MiB
2022/05/02 02:02:46.444, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7718 MiB, 24792 MiB
2022/05/02 02:02:46.444, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7718 MiB, 24792 MiB
2022/05/02 02:02:46.447, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7914 MiB, 24596 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/02 02:02:46.449, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7797 MiB, 24713 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/02 02:02:46.452, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7810 MiB, 24700 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/02 02:02:46.453, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7894 MiB, 24616 MiB
2022/05/02 02:02:46.453, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7894 MiB, 24616 MiB
2022/05/02 02:02:46.453, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7810 MiB, 24700 MiB
2022/05/02 02:02:46.456, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7718 MiB, 24792 MiB
2022/05/02 02:02:46.455, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7797 MiB, 24713 MiB
2022/05/02 02:02:46.457, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7797 MiB, 24713 MiB
2022/05/02 02:02:46.458, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7574 MiB, 24936 MiB
2022/05/02 02:02:46.459, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7906 MiB, 24604 MiB
2022/05/02 02:02:46.459, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7906 MiB, 24604 MiB
2022/05/02 02:02:46.458, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7797 MiB, 24713 MiB
2022/05/02 02:02:46.460, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7574 MiB, 24936 MiB
2022/05/02 02:02:46.463, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7894 MiB, 24616 MiB
2022/05/02 02:02:46.464, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7718 MiB, 24792 MiB
2022/05/02 02:02:46.466, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7718 MiB, 24792 MiB
2022/05/02 02:02:46.467, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7828 MiB, 24682 MiB
2022/05/02 02:02:46.467, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7914 MiB, 24596 MiB
2022/05/02 02:02:46.468, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7914 MiB, 24596 MiB
2022/05/02 02:02:46.468, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7718 MiB, 24792 MiB
2022/05/02 02:02:46.468, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7828 MiB, 24682 MiB
2022/05/02 02:02:46.472, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7906 MiB, 24604 MiB
2022/05/02 02:02:46.473, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7894 MiB, 24616 MiB
2022/05/02 02:02:46.474, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7894 MiB, 24616 MiB
2022/05/02 02:02:46.476, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7810 MiB, 24700 MiB
2022/05/02 02:02:46.477, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7810 MiB, 24700 MiB
2022/05/02 02:02:46.477, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7894 MiB, 24616 MiB
2022/05/02 02:02:46.486, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7914 MiB, 24596 MiB
2022/05/02 02:02:46.487, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7906 MiB, 24604 MiB
2022/05/02 02:02:46.489, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7906 MiB, 24604 MiB
2022/05/02 02:02:46.490, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7574 MiB, 24936 MiB
2022/05/02 02:02:46.490, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7574 MiB, 24936 MiB
2022/05/02 02:02:46.491, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7906 MiB, 24604 MiB
2022/05/02 02:02:46.495, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7810 MiB, 24700 MiB
2022/05/02 02:02:46.496, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7914 MiB, 24596 MiB
2022/05/02 02:02:46.497, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7914 MiB, 24596 MiB
2022/05/02 02:02:46.498, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7828 MiB, 24682 MiB
2022/05/02 02:02:46.499, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7828 MiB, 24682 MiB
2022/05/02 02:02:46.499, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7914 MiB, 24596 MiB
2022/05/02 02:02:46.503, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7574 MiB, 24936 MiB
2022/05/02 02:02:46.504, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7810 MiB, 24700 MiB
2022/05/02 02:02:46.505, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7810 MiB, 24700 MiB
2022/05/02 02:02:46.507, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7810 MiB, 24700 MiB
2022/05/02 02:02:46.511, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7828 MiB, 24682 MiB
2022/05/02 02:02:46.511, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7574 MiB, 24936 MiB
2022/05/02 02:02:46.516, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7574 MiB, 24936 MiB
2022/05/02 02:02:46.522, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7574 MiB, 24936 MiB
2022/05/02 02:02:46.525, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7828 MiB, 24682 MiB
2022/05/02 02:02:46.526, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7828 MiB, 24682 MiB
2022/05/02 02:02:46.527, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7828 MiB, 24682 MiB
[rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86738, top1: 0.00074, throughput: 368.30 | 2022-05-02 02:03:55.672
[rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86740, top1: 0.00066, throughput: 368.31 | 2022-05-02 02:03:55.672
[rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86742, top1: 0.00066, throughput: 368.26 | 2022-05-02 02:03:55.681
[rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86724, top1: 0.00070, throughput: 368.26 | 2022-05-02 02:03:55.681
[rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86765, top1: 0.00066, throughput: 368.26 | 2022-05-02 02:03:55.681
[rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86724, top1: 0.00098, throughput: 368.26 | 2022-05-02 02:03:55.682
[rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86734, top1: 0.00102, throughput: 368.26 | 2022-05-02 02:03:55.682
[rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86763, top1: 0.00066, throughput: 368.26 | 2022-05-02 02:03:55.683
[rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86709, top1: 0.00121, throughput: 376.84 | 2022-05-02 02:05:03.605
[rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86715, top1: 0.00074, throughput: 376.88 | 2022-05-02 02:05:03.606
[rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86704, top1: 0.00109, throughput: 376.89 | 2022-05-02 02:05:03.606
[rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86757, top1: 0.00051, throughput: 376.84 | 2022-05-02 02:05:03.606
[rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86712, top1: 0.00090, throughput: 376.89 | 2022-05-02 02:05:03.607
[rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86718, top1: 0.00129, throughput: 376.89 | 2022-05-02 02:05:03.605
[rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86757, top1: 0.00113, throughput: 376.89 | 2022-05-02 02:05:03.607
[rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86719, top1: 0.00090, throughput: 376.88 | 2022-05-02 02:05:03.609