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: 0.5033987164497375, latency(ms): 354.8007665574550629 | 2022-05-13 01:53:13.138
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/13 01:53:13.181, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 28 %, 32510 MiB, 27086 MiB, 5424 MiB
[rank:0] iter: 200/1100, loss: 0.4712749123573303, latency(ms): 303.9635714143514633 | 2022-05-13 01:53:43.534
[rank:0] iter: 300/1100, loss: 0.4609211385250092, latency(ms): 306.1735143512487411 | 2022-05-13 01:54:14.151
[rank:0] iter: 400/1100, loss: 0.4530370235443115, latency(ms): 304.3354268744587898 | 2022-05-13 01:54:44.585
[rank:0] iter: 500/1100, loss: 0.4515015482902527, latency(ms): 307.0572219043970108 | 2022-05-13 01:55:15.291
[rank:0] iter: 600/1100, loss: 0.4463888108730316, latency(ms): 312.3525677621364594 | 2022-05-13 01:55:46.526
[rank:0] iter: 700/1100, loss: 0.4406959414482117, latency(ms): 316.3318244740366936 | 2022-05-13 01:56:18.159
[rank:0] iter: 800/1100, loss: 0.4421225488185883, latency(ms): 314.1925997287034988 | 2022-05-13 01:56:49.578
[rank:0] iter: 900/1100, loss: 0.4340478479862213, latency(ms): 342.2510144114494324 | 2022-05-13 01:57:23.804
[rank:0] iter: 1000/1100, loss: 0.4310687184333801, latency(ms): 350.6482364982366562 | 2022-05-13 01:57:58.868
[rank:0] iter: 1100/1100, loss: 0.4330461919307709, latency(ms): 331.0286054387688637 | 2022-05-13 01:58:31.971