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 ...................................... 131072
  batch_size_per_proc ............................. 131072
  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: 0.4939873218536377, latency(ms): 218.2939023897051811 | 2022-04-26 09:54:00.977
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/26 09:54:00.999, Tesla V100-SXM2-32GB, 470.57.02, 45 %, 21 %, 32510 MiB, 27764 MiB, 4746 MiB
[rank:0] iter: 200/1100, loss: 0.4645954370498657, latency(ms): 173.9897019043564796 | 2022-04-26 09:54:18.376
[rank:0] iter: 300/1100, loss: 0.4578860402107239, latency(ms): 172.9677533358335495 | 2022-04-26 09:54:35.673
[rank:0] iter: 400/1100, loss: 0.4499754011631012, latency(ms): 171.0517530888319016 | 2022-04-26 09:54:52.778
[rank:0] iter: 500/1100, loss: 0.4483107328414917, latency(ms): 175.8283426240086555 | 2022-04-26 09:55:10.361
[rank:0] iter: 600/1100, loss: 0.4438129663467407, latency(ms): 174.1308034583926201 | 2022-04-26 09:55:27.774
[rank:0] iter: 700/1100, loss: 0.4373075962066650, latency(ms): 174.8540906235575676 | 2022-04-26 09:55:45.259
[rank:0] iter: 800/1100, loss: 0.4380143880844116, latency(ms): 174.9773931130766869 | 2022-04-26 09:56:02.757
[rank:0] iter: 900/1100, loss: 0.4304392933845520, latency(ms): 175.0140072777867317 | 2022-04-26 09:56:20.258
[rank:0] iter: 1000/1100, loss: 0.4262142479419708, latency(ms): 175.2541239559650421 | 2022-04-26 09:56:37.784
[rank:0] iter: 1100/1100, loss: 0.4274480342864990, latency(ms): 174.9292385205626488 | 2022-04-26 09:56:55.277