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 ...................................... 512
  batch_size_per_proc ............................. 512
  data_dir ........................................ /dataset/f9f659c5/wdl_ofrecord
  data_part_name_suffix_length .................... 5
  data_part_num ................................... 256
  dataset_format .................................. ofrecord
  ddp ............................................. True
  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 .................................. eager
  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: 0.5282539129257202, latency(ms): 40.8238654211163521 | 2022-04-27 10:24:02.041
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/27 10:24:02.066, Tesla V100-SXM2-32GB, 470.57.02, 92 %, 90 %, 32510 MiB, 30676 MiB, 1834 MiB
[rank:0] iter: 200/1100, loss: 0.5006780624389648, latency(ms): 4.2793448641896248 | 2022-04-27 10:24:02.469
[rank:0] iter: 300/1100, loss: 0.4970559179782867, latency(ms): 4.1195313259959221 | 2022-04-27 10:24:02.880
[rank:0] iter: 400/1100, loss: 0.4920266270637512, latency(ms): 4.1067327558994293 | 2022-04-27 10:24:03.291
[rank:0] iter: 500/1100, loss: 0.4938155114650726, latency(ms): 4.0942129865288734 | 2022-04-27 10:24:03.701
[rank:0] iter: 600/1100, loss: 0.4815491139888763, latency(ms): 4.0948196500539780 | 2022-04-27 10:24:04.110
[rank:0] iter: 700/1100, loss: 0.4851063191890717, latency(ms): 4.1595916822552681 | 2022-04-27 10:24:04.526
[rank:0] iter: 800/1100, loss: 0.4864314794540405, latency(ms): 4.0577010437846184 | 2022-04-27 10:24:04.932
[rank:0] iter: 900/1100, loss: 0.4845490157604218, latency(ms): 4.1553413867950439 | 2022-04-27 10:24:05.347
[rank:0] iter: 1000/1100, loss: 0.4823474586009979, latency(ms): 4.1484900563955307 | 2022-04-27 10:24:05.762
[rank:0] iter: 1100/1100, loss: 0.4817615747451782, latency(ms): 4.1494494676589966 | 2022-04-27 10:24:06.177