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: 0.5031650662422180, latency(ms): 343.6544312909245491 | 2022-05-15 01:50:26.741
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/15 01:50:26.760, Tesla V100-SXM2-32GB, 470.57.02, 6 %, 1 %, 32510 MiB, 27086 MiB, 5424 MiB
[rank:0] iter: 200/1100, loss: 0.4678509831428528, latency(ms): 301.0749719291925430 | 2022-05-15 01:50:56.849
[rank:0] iter: 300/1100, loss: 0.4599202871322632, latency(ms): 300.0833033770322800 | 2022-05-15 01:51:26.857
[rank:0] iter: 400/1100, loss: 0.4520960152149200, latency(ms): 300.9176177531480789 | 2022-05-15 01:51:56.949
[rank:0] iter: 500/1100, loss: 0.4509256780147552, latency(ms): 300.0081779807806015 | 2022-05-15 01:52:26.950
[rank:0] iter: 600/1100, loss: 0.4457128942012787, latency(ms): 300.1079794764518738 | 2022-05-15 01:52:56.960
[rank:0] iter: 700/1100, loss: 0.4401237070560455, latency(ms): 302.0542277395725250 | 2022-05-15 01:53:27.166
[rank:0] iter: 800/1100, loss: 0.4416759014129639, latency(ms): 302.7780177816748619 | 2022-05-15 01:53:57.444
[rank:0] iter: 900/1100, loss: 0.4335541129112244, latency(ms): 300.3387091681361198 | 2022-05-15 01:54:27.478
[rank:0] iter: 1000/1100, loss: 0.4306621551513672, latency(ms): 300.8542916551232338 | 2022-05-15 01:54:57.563
[rank:0] iter: 1100/1100, loss: 0.4327010214328766, latency(ms): 301.0028515383601189 | 2022-05-15 01:55:27.663