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 ............................................. 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: 0.5034874081611633, latency(ms): 360.8058054000139236 | 2022-04-29 01:49:53.648
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/29 01:49:53.675, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 27086 MiB, 5424 MiB
[rank:0] iter: 200/1100, loss: 0.4695438742637634, latency(ms): 302.9219229146838188 | 2022-04-29 01:50:23.940
[rank:0] iter: 300/1100, loss: 0.4606175124645233, latency(ms): 302.0347157120704651 | 2022-04-29 01:50:54.144
[rank:0] iter: 400/1100, loss: 0.4529183506965637, latency(ms): 307.9235466197133064 | 2022-04-29 01:51:24.936
[rank:0] iter: 500/1100, loss: 0.4515299201011658, latency(ms): 303.1448881700634956 | 2022-04-29 01:51:55.251
[rank:0] iter: 600/1100, loss: 0.4463333487510681, latency(ms): 301.0107242316007614 | 2022-04-29 01:52:25.352
[rank:0] iter: 700/1100, loss: 0.4405877292156219, latency(ms): 305.0035756453871727 | 2022-04-29 01:52:55.852
[rank:0] iter: 800/1100, loss: 0.4420152306556702, latency(ms): 306.9153327494859695 | 2022-04-29 01:53:26.544
[rank:0] iter: 900/1100, loss: 0.4340189993381500, latency(ms): 302.2534276545047760 | 2022-04-29 01:53:56.769
[rank:0] iter: 1000/1100, loss: 0.4310009777545929, latency(ms): 308.8846512883901596 | 2022-04-29 01:54:27.658
[rank:0] iter: 1100/1100, loss: 0.4329587221145630, latency(ms): 317.4298330396413803 | 2022-04-29 01:54:59.400