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: 0.5262772440910339, latency(ms): 41.1530952900648117 | 2022-04-28 10:33:57.778
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/28 10:33:57.806, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 96 %, 32510 MiB, 30676 MiB, 1834 MiB
[rank:0] iter: 200/1100, loss: 0.4996977150440216, latency(ms): 4.1531385481357574 | 2022-04-28 10:33:58.193
[rank:0] iter: 300/1100, loss: 0.4960878491401672, latency(ms): 3.9479376003146172 | 2022-04-28 10:33:58.588
[rank:0] iter: 400/1100, loss: 0.4918263554573059, latency(ms): 3.9408122375607491 | 2022-04-28 10:33:58.982
[rank:0] iter: 500/1100, loss: 0.4939050972461700, latency(ms): 3.9448650181293488 | 2022-04-28 10:33:59.377
[rank:0] iter: 600/1100, loss: 0.4815710186958313, latency(ms): 3.9612364768981934 | 2022-04-28 10:33:59.773
[rank:0] iter: 700/1100, loss: 0.4858312308788300, latency(ms): 4.0165069699287415 | 2022-04-28 10:34:00.174
[rank:0] iter: 800/1100, loss: 0.4867643415927887, latency(ms): 3.9759594574570656 | 2022-04-28 10:34:00.572
[rank:0] iter: 900/1100, loss: 0.4860335290431976, latency(ms): 3.9642288535833359 | 2022-04-28 10:34:00.968
[rank:0] iter: 1000/1100, loss: 0.4818640947341919, latency(ms): 3.9565131440758705 | 2022-04-28 10:34:01.364
[rank:0] iter: 1100/1100, loss: 0.4828942120075226, latency(ms): 3.9671384915709496 | 2022-04-28 10:34:01.761