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 ...................................... 65536
  batch_size_per_proc ............................. 65536
  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: 0.5053624510765076, latency(ms): 160.0021393969655037 | 2022-04-20 01:49:23.762
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/20 01:49:23.791, Tesla V100-SXM2-32GB, 470.57.02, 56 %, 25 %, 32510 MiB, 28966 MiB, 3544 MiB
[rank:0] iter: 200/1100, loss: 0.4705801010131836, latency(ms): 117.6822880655527115 | 2022-04-20 01:49:35.530
[rank:0] iter: 300/1100, loss: 0.4636626839637756, latency(ms): 115.2860328555107117 | 2022-04-20 01:49:47.059
[rank:0] iter: 400/1100, loss: 0.4604498744010925, latency(ms): 115.0975847244262695 | 2022-04-20 01:49:58.569
[rank:0] iter: 500/1100, loss: 0.4575370550155640, latency(ms): 117.5242226198315620 | 2022-04-20 01:50:10.321
[rank:0] iter: 600/1100, loss: 0.4526394307613373, latency(ms): 116.2790451198816299 | 2022-04-20 01:50:21.949
[rank:0] iter: 700/1100, loss: 0.4470738172531128, latency(ms): 117.5176865607500076 | 2022-04-20 01:50:33.701
[rank:0] iter: 800/1100, loss: 0.4477305710315704, latency(ms): 117.5365281850099564 | 2022-04-20 01:50:45.454
[rank:0] iter: 900/1100, loss: 0.4470811486244202, latency(ms): 120.7101592794060707 | 2022-04-20 01:50:57.526
[rank:0] iter: 1000/1100, loss: 0.4465559124946594, latency(ms): 122.7638231590390205 | 2022-04-20 01:51:09.802
[rank:0] iter: 1100/1100, loss: 0.4466442763805389, latency(ms): 124.5619357749819756 | 2022-04-20 01:51:22.258