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: 0.5266831517219543, latency(ms): 41.7017456889152527 | 2022-05-20 02:12:00.365
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/20 02:12:00.439, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 94 %, 32510 MiB, 30670 MiB, 1840 MiB
[rank:0] iter: 200/1100, loss: 0.4987584352493286, latency(ms): 4.8533784970641136 | 2022-05-20 02:12:00.850
[rank:0] iter: 300/1100, loss: 0.4970430135726929, latency(ms): 4.1112900152802467 | 2022-05-20 02:12:01.261
[rank:0] iter: 400/1100, loss: 0.4916109144687653, latency(ms): 4.1267062351107597 | 2022-05-20 02:12:01.674
[rank:0] iter: 500/1100, loss: 0.4931904971599579, latency(ms): 4.1007903218269348 | 2022-05-20 02:12:02.084
[rank:0] iter: 600/1100, loss: 0.4812729656696320, latency(ms): 4.1462111473083496 | 2022-05-20 02:12:02.498
[rank:0] iter: 700/1100, loss: 0.4860507249832153, latency(ms): 4.3477530032396317 | 2022-05-20 02:12:02.933
[rank:0] iter: 800/1100, loss: 0.4850274026393890, latency(ms): 4.1019780188798904 | 2022-05-20 02:12:03.343
[rank:0] iter: 900/1100, loss: 0.4849954843521118, latency(ms): 4.0085385739803314 | 2022-05-20 02:12:03.744
[rank:0] iter: 1000/1100, loss: 0.4818228483200073, latency(ms): 4.0259321033954620 | 2022-05-20 02:12:04.147
[rank:0] iter: 1100/1100, loss: 0.4821256995201111, latency(ms): 4.0497221052646637 | 2022-05-20 02:12:04.552