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: 0.4953681230545044, latency(ms): 230.3010647743940353 | 2022-04-19 01:45:14.978
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/19 01:45:14.997, Tesla V100-SXM2-32GB, 470.57.02, 76 %, 31 %, 32510 MiB, 27770 MiB, 4740 MiB
[rank:0] iter: 200/1100, loss: 0.4648601114749908, latency(ms): 178.7950726598501205 | 2022-04-19 01:45:32.857
[rank:0] iter: 300/1100, loss: 0.4581253826618195, latency(ms): 158.0178076028823853 | 2022-04-19 01:45:48.659
[rank:0] iter: 400/1100, loss: 0.4502917528152466, latency(ms): 154.0151531249284744 | 2022-04-19 01:46:04.061
[rank:0] iter: 500/1100, loss: 0.4486051201820374, latency(ms): 156.2352427095174789 | 2022-04-19 01:46:19.684
[rank:0] iter: 600/1100, loss: 0.4441592097282410, latency(ms): 156.8635649979114532 | 2022-04-19 01:46:35.371
[rank:0] iter: 700/1100, loss: 0.4375857114791870, latency(ms): 159.8803823441267014 | 2022-04-19 01:46:51.359
[rank:0] iter: 800/1100, loss: 0.4383104741573334, latency(ms): 158.2532257959246635 | 2022-04-19 01:47:07.184
[rank:0] iter: 900/1100, loss: 0.4308104813098907, latency(ms): 167.8975374996662140 | 2022-04-19 01:47:23.974
[rank:0] iter: 1000/1100, loss: 0.4266873300075531, latency(ms): 181.0031590610742569 | 2022-04-19 01:47:42.074
[rank:0] iter: 1100/1100, loss: 0.4278578162193298, latency(ms): 170.9229679033160210 | 2022-04-19 01:47:59.166