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: 0.5020593404769897, latency(ms): 360.6446066871285439 | 2022-04-12 17:11:47.659
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/12 17:11:47.678, Tesla V100-SXM2-32GB, 470.57.02, 10 %, 5 %, 32510 MiB, 27156 MiB, 5354 MiB
[rank:0] iter: 200/1100, loss: 0.4675427377223969, latency(ms): 300.8636513724923134 | 2022-04-12 17:12:17.745
[rank:0] iter: 300/1100, loss: 0.4596812129020691, latency(ms): 300.7610874623060226 | 2022-04-12 17:12:47.821
[rank:0] iter: 400/1100, loss: 0.4517565071582794, latency(ms): 300.2580632641911507 | 2022-04-12 17:13:17.847
[rank:0] iter: 500/1100, loss: 0.4505764842033386, latency(ms): 301.1854904145002365 | 2022-04-12 17:13:47.965
[rank:0] iter: 600/1100, loss: 0.4454629123210907, latency(ms): 300.8627342432737350 | 2022-04-12 17:14:18.052
[rank:0] iter: 700/1100, loss: 0.4397916793823242, latency(ms): 305.0339005514979362 | 2022-04-12 17:14:48.555
[rank:0] iter: 800/1100, loss: 0.4413310289382935, latency(ms): 303.1683146581053734 | 2022-04-12 17:15:18.872
[rank:0] iter: 900/1100, loss: 0.4331881701946259, latency(ms): 299.9993016198277473 | 2022-04-12 17:15:48.872
[rank:0] iter: 1000/1100, loss: 0.4302686750888824, latency(ms): 304.9209132045507431 | 2022-04-12 17:16:19.364
[rank:0] iter: 1100/1100, loss: 0.4323176145553589, latency(ms): 302.0872990041971207 | 2022-04-12 17:16:49.573