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 ...................................... 512
  batch_size_per_proc ............................. 512
  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: 0.5251173973083496, latency(ms): 42.9706764966249466 | 2022-04-20 01:43:32.176
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/20 01:43:32.197, Tesla V100-SXM2-32GB, 470.57.02, 2 %, 1 %, 32510 MiB, 31038 MiB, 1472 MiB
[rank:0] iter: 200/1100, loss: 0.4990808367729187, latency(ms): 1.6001063212752342 | 2022-04-20 01:43:32.336
[rank:0] iter: 300/1100, loss: 0.4979247748851776, latency(ms): 1.3450752198696136 | 2022-04-20 01:43:32.471
[rank:0] iter: 400/1100, loss: 0.4931673705577850, latency(ms): 1.6794213652610779 | 2022-04-20 01:43:32.638
[rank:0] iter: 500/1100, loss: 0.4949083030223846, latency(ms): 1.3307778909802437 | 2022-04-20 01:43:32.772
[rank:0] iter: 600/1100, loss: 0.4831054210662842, latency(ms): 1.6088955104351044 | 2022-04-20 01:43:32.932
[rank:0] iter: 700/1100, loss: 0.4864574670791626, latency(ms): 1.3190942257642746 | 2022-04-20 01:43:33.064
[rank:0] iter: 800/1100, loss: 0.4866276681423187, latency(ms): 1.6287760436534882 | 2022-04-20 01:43:33.227
[rank:0] iter: 900/1100, loss: 0.4845155477523804, latency(ms): 1.3869543001055717 | 2022-04-20 01:43:33.366
[rank:0] iter: 1000/1100, loss: 0.4825252294540405, latency(ms): 1.5764728561043739 | 2022-04-20 01:43:33.524
[rank:0] iter: 1100/1100, loss: 0.4839524328708649, latency(ms): 1.3223759457468987 | 2022-04-20 01:43:33.656