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 ............................................. False
  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 .................................. graph
  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: 0.4947596490383148, latency(ms): 219.1746617481112480 | 2022-04-28 10:31:00.576
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/28 10:31:00.599, Tesla V100-SXM2-32GB, 470.57.02, 46 %, 24 %, 32510 MiB, 27764 MiB, 4746 MiB
[rank:0] iter: 200/1100, loss: 0.4647812545299530, latency(ms): 171.0119519382715225 | 2022-04-28 10:31:17.678
[rank:0] iter: 300/1100, loss: 0.4581981897354126, latency(ms): 173.7809800729155540 | 2022-04-28 10:31:35.056
[rank:0] iter: 400/1100, loss: 0.4502732455730438, latency(ms): 171.0341476276516914 | 2022-04-28 10:31:52.159
[rank:0] iter: 500/1100, loss: 0.4485569298267365, latency(ms): 174.1394964978098869 | 2022-04-28 10:32:09.573
[rank:0] iter: 600/1100, loss: 0.4441601932048798, latency(ms): 178.9279843866825104 | 2022-04-28 10:32:27.466
[rank:0] iter: 700/1100, loss: 0.4375785887241364, latency(ms): 174.0538680925965309 | 2022-04-28 10:32:44.871
[rank:0] iter: 800/1100, loss: 0.4382601678371429, latency(ms): 161.0433388501405716 | 2022-04-28 10:33:00.975
[rank:0] iter: 900/1100, loss: 0.4306917190551758, latency(ms): 160.9933942928910255 | 2022-04-28 10:33:17.075
[rank:0] iter: 1000/1100, loss: 0.4264994859695435, latency(ms): 160.0011875852942467 | 2022-04-28 10:33:33.075
[rank:0] iter: 1100/1100, loss: 0.4276438653469086, latency(ms): 161.0232482478022575 | 2022-04-28 10:33:49.177