loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1
loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1
------------------------ arguments ------------------------
  batch_size ...................................... 65536
  batch_size_per_proc ............................. 65536
  data_dir ........................................ /dataset/f9f659c5/wdl_ofrecord
  data_part_name_suffix_length .................... 5
  data_part_num ................................... 256
  dataset_format .................................. ofrecord
  ddp ............................................. False
  deep_dropout_rate ............................... 0.5
  deep_embedding_vec_size ......................... 16
  deep_vocab_size ................................. 2322444
  eval_after_training ............................. False
  eval_batchs ..................................... 20
  eval_interval ................................... 0
  execution_mode .................................. graph
  hidden_size ..................................... 1024
  hidden_units_num ................................ 2
  learning_rate ................................... 0.001
  loss_print_every_n_iter ......................... 100
  max_iter ........................................ 1100
  model_load_dir .................................. 
  model_save_dir .................................. ./checkpoint
  num_deep_sparse_fields .......................... 26
  num_dense_fields ................................ 13
  num_wide_sparse_fields .......................... 2
  save_initial_model .............................. False
  save_model_after_each_eval ...................... False
  test_name ....................................... noname_test
  wide_vocab_size ................................. 2322444
-------------------- end of arguments ---------------------
[rank:0] iter: 100/1100, loss: 0.4980793893337250, latency(ms): 133.0157515406608582 | 2022-05-10 01:45:01.756
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/10 01:45:01.779, Tesla V100-SXM2-32GB, 470.57.02, 59 %, 23 %, 32510 MiB, 29404 MiB, 3106 MiB
[rank:0] iter: 200/1100, loss: 0.4679991602897644, latency(ms): 95.9010114520788193 | 2022-05-10 01:45:11.346
[rank:0] iter: 300/1100, loss: 0.4621405303478241, latency(ms): 93.1126538664102554 | 2022-05-10 01:45:20.657
[rank:0] iter: 400/1100, loss: 0.4594128131866455, latency(ms): 95.0398284569382668 | 2022-05-10 01:45:30.161
[rank:0] iter: 500/1100, loss: 0.4565196633338928, latency(ms): 94.9153653904795647 | 2022-05-10 01:45:39.653
[rank:0] iter: 600/1100, loss: 0.4526362121105194, latency(ms): 92.1940674632787704 | 2022-05-10 01:45:48.872
[rank:0] iter: 700/1100, loss: 0.4468771219253540, latency(ms): 97.8178105503320694 | 2022-05-10 01:45:58.654
[rank:0] iter: 800/1100, loss: 0.4465507864952087, latency(ms): 94.0272448211908340 | 2022-05-10 01:46:08.057
[rank:0] iter: 900/1100, loss: 0.4457524418830872, latency(ms): 94.0023854374885559 | 2022-05-10 01:46:17.457
[rank:0] iter: 1000/1100, loss: 0.4452526867389679, latency(ms): 94.9694584682583809 | 2022-05-10 01:46:26.954
[rank:0] iter: 1100/1100, loss: 0.4451160430908203, latency(ms): 94.9746935069561005 | 2022-05-10 01:46:36.451