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: 0.5026445984840393, latency(ms): 347.7085714787244797 | 2022-05-27 01:52:26.253
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/27 01:52:26.278, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 15 %, 32510 MiB, 27080 MiB, 5430 MiB
[rank:0] iter: 200/1100, loss: 0.4690237045288086, latency(ms): 300.9627660736441612 | 2022-05-27 01:52:56.349
[rank:0] iter: 300/1100, loss: 0.4603346288204193, latency(ms): 300.0217150151729584 | 2022-05-27 01:53:26.351
[rank:0] iter: 400/1100, loss: 0.4523605108261108, latency(ms): 299.9717025086283684 | 2022-05-27 01:53:56.349
[rank:0] iter: 500/1100, loss: 0.4510107040405273, latency(ms): 300.0343141332268715 | 2022-05-27 01:54:26.352
[rank:0] iter: 600/1100, loss: 0.4459179639816284, latency(ms): 300.7851016148924828 | 2022-05-27 01:54:56.430
[rank:0] iter: 700/1100, loss: 0.4402052760124207, latency(ms): 300.3159157559275627 | 2022-05-27 01:55:26.462
[rank:0] iter: 800/1100, loss: 0.4416897296905518, latency(ms): 304.0021771192550659 | 2022-05-27 01:55:56.862
[rank:0] iter: 900/1100, loss: 0.4335432946681976, latency(ms): 300.0166491791605949 | 2022-05-27 01:56:26.864
[rank:0] iter: 1000/1100, loss: 0.4305119216442108, latency(ms): 302.8741854801774025 | 2022-05-27 01:56:57.151
[rank:0] iter: 1100/1100, loss: 0.4325900971889496, latency(ms): 299.9945842102169991 | 2022-05-27 01:57:27.151