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: 0.5032390952110291, latency(ms): 362.8269349411129951 | 2022-04-04 01:47:27.547
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/04 01:47:27.578, Tesla V100-SXM2-32GB, 470.57.02, 25 %, 12 %, 32510 MiB, 27118 MiB, 5392 MiB
[rank:0] iter: 200/1100, loss: 0.4701851308345795, latency(ms): 303.4836306422948837 | 2022-04-04 01:47:57.895
[rank:0] iter: 300/1100, loss: 0.4605464935302734, latency(ms): 304.7316975146532059 | 2022-04-04 01:48:28.368
[rank:0] iter: 400/1100, loss: 0.4526444971561432, latency(ms): 301.8948666751384735 | 2022-04-04 01:48:58.558
[rank:0] iter: 500/1100, loss: 0.4512051343917847, latency(ms): 302.1218921616673470 | 2022-04-04 01:49:28.770
[rank:0] iter: 600/1100, loss: 0.4460617005825043, latency(ms): 301.9273662194609642 | 2022-04-04 01:49:58.963
[rank:0] iter: 700/1100, loss: 0.4403600990772247, latency(ms): 303.3533030375838280 | 2022-04-04 01:50:29.298
[rank:0] iter: 800/1100, loss: 0.4419100582599640, latency(ms): 302.7638786658644676 | 2022-04-04 01:50:59.574
[rank:0] iter: 900/1100, loss: 0.4338456094264984, latency(ms): 303.9834572747349739 | 2022-04-04 01:51:29.973
[rank:0] iter: 1000/1100, loss: 0.4308328628540039, latency(ms): 301.1765312403440475 | 2022-04-04 01:52:00.090
[rank:0] iter: 1100/1100, loss: 0.4328486323356628, latency(ms): 315.0894499570131302 | 2022-04-04 01:52:31.599