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: 0.5245855450630188, latency(ms): 38.0964441969990730 | 2022-05-08 01:40:54.797
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/08 01:40:54.817, Tesla V100-SXM2-32GB, 470.57.02, 42 %, 8 %, 32510 MiB, 31034 MiB, 1476 MiB
[rank:0] iter: 200/1100, loss: 0.5011023879051208, latency(ms): 1.6966180130839348 | 2022-05-08 01:40:54.966
[rank:0] iter: 300/1100, loss: 0.4973339438438416, latency(ms): 1.6110365092754364 | 2022-05-08 01:40:55.127
[rank:0] iter: 400/1100, loss: 0.4912929534912109, latency(ms): 1.3672006130218506 | 2022-05-08 01:40:55.264
[rank:0] iter: 500/1100, loss: 0.4949376285076141, latency(ms): 1.6647727042436600 | 2022-05-08 01:40:55.431
[rank:0] iter: 600/1100, loss: 0.4827725589275360, latency(ms): 1.3571001961827278 | 2022-05-08 01:40:55.566
[rank:0] iter: 700/1100, loss: 0.4864942133426666, latency(ms): 1.6762347519397736 | 2022-05-08 01:40:55.734
[rank:0] iter: 800/1100, loss: 0.4861578345298767, latency(ms): 1.3509424403309822 | 2022-05-08 01:40:55.869
[rank:0] iter: 900/1100, loss: 0.4853242635726929, latency(ms): 1.6973795741796494 | 2022-05-08 01:40:56.039
[rank:0] iter: 1000/1100, loss: 0.4835723638534546, latency(ms): 1.3567921519279480 | 2022-05-08 01:40:56.174
[rank:0] iter: 1100/1100, loss: 0.4831490814685822, latency(ms): 1.6240655258297920 | 2022-05-08 01:40:56.337