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 ............................................. 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: 0.5045456290245056, latency(ms): 169.0201713144779205 | 2022-04-19 01:48:32.174
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/19 01:48:33.733, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 28966 MiB, 3544 MiB
[rank:0] iter: 200/1100, loss: 0.4697462022304535, latency(ms): 128.2581041380763054 | 2022-04-19 01:48:45.000
[rank:0] iter: 300/1100, loss: 0.4634964764118195, latency(ms): 118.9884652569890022 | 2022-04-19 01:48:56.899
[rank:0] iter: 400/1100, loss: 0.4603180289268494, latency(ms): 117.7614943310618401 | 2022-04-19 01:49:08.675
[rank:0] iter: 500/1100, loss: 0.4574602246284485, latency(ms): 118.4190470352768898 | 2022-04-19 01:49:20.517
[rank:0] iter: 600/1100, loss: 0.4523116052150726, latency(ms): 120.1200589910149574 | 2022-04-19 01:49:32.529
[rank:0] iter: 700/1100, loss: 0.4468457400798798, latency(ms): 119.8721018806099892 | 2022-04-19 01:49:44.516
[rank:0] iter: 800/1100, loss: 0.4475801885128021, latency(ms): 121.9367400929331779 | 2022-04-19 01:49:56.709
[rank:0] iter: 900/1100, loss: 0.4468584358692169, latency(ms): 125.0745949149131775 | 2022-04-19 01:50:09.217
[rank:0] iter: 1000/1100, loss: 0.4463236331939697, latency(ms): 126.4357840269804001 | 2022-04-19 01:50:21.860
[rank:0] iter: 1100/1100, loss: 0.4465148448944092, latency(ms): 128.8185433670878410 | 2022-04-19 01:50:34.742