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: 0.5256624817848206, latency(ms): 44.2060433700680733 | 2022-04-19 01:48:07.777
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/19 01:48:07.827, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 97 %, 32510 MiB, 30682 MiB, 1828 MiB
[rank:0] iter: 200/1100, loss: 0.5000567436218262, latency(ms): 4.4074541330337524 | 2022-04-19 01:48:08.218
[rank:0] iter: 300/1100, loss: 0.4960439801216125, latency(ms): 4.0863606333732605 | 2022-04-19 01:48:08.627
[rank:0] iter: 400/1100, loss: 0.4918216466903687, latency(ms): 3.8519618287682533 | 2022-04-19 01:48:09.012
[rank:0] iter: 500/1100, loss: 0.4936123788356781, latency(ms): 3.9636719226837158 | 2022-04-19 01:48:09.408
[rank:0] iter: 600/1100, loss: 0.4826569259166718, latency(ms): 3.9756556227803230 | 2022-04-19 01:48:09.806
[rank:0] iter: 700/1100, loss: 0.4859946370124817, latency(ms): 4.0175730735063553 | 2022-04-19 01:48:10.208
[rank:0] iter: 800/1100, loss: 0.4857582151889801, latency(ms): 4.0234223008155823 | 2022-04-19 01:48:10.610
[rank:0] iter: 900/1100, loss: 0.4852388501167297, latency(ms): 3.9995360001921654 | 2022-04-19 01:48:11.010
[rank:0] iter: 1000/1100, loss: 0.4827907681465149, latency(ms): 3.9816463366150856 | 2022-04-19 01:48:11.408
[rank:0] iter: 1100/1100, loss: 0.4833354055881500, latency(ms): 3.9789417758584023 | 2022-04-19 01:48:11.806