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: 0.5259911417961121, latency(ms): 55.9329272434115410 | 2022-05-12 01:45:35.873
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/12 01:45:35.893, Tesla V100-SXM2-32GB, 470.57.02, 67 %, 14 %, 32510 MiB, 31034 MiB, 1476 MiB
[rank:0] iter: 200/1100, loss: 0.5006348490715027, latency(ms): 1.5851015970110893 | 2022-05-12 01:45:36.031
[rank:0] iter: 300/1100, loss: 0.4986669421195984, latency(ms): 1.3367676734924316 | 2022-05-12 01:45:36.165
[rank:0] iter: 400/1100, loss: 0.4921709001064301, latency(ms): 1.6465128958225250 | 2022-05-12 01:45:36.329
[rank:0] iter: 500/1100, loss: 0.4952698945999146, latency(ms): 1.3723788410425186 | 2022-05-12 01:45:36.467
[rank:0] iter: 600/1100, loss: 0.4833589196205139, latency(ms): 1.6477422043681145 | 2022-05-12 01:45:36.631
[rank:0] iter: 700/1100, loss: 0.4865022003650665, latency(ms): 1.3214432075619698 | 2022-05-12 01:45:36.763
[rank:0] iter: 800/1100, loss: 0.4866233468055725, latency(ms): 1.6952535882592201 | 2022-05-12 01:45:36.933
[rank:0] iter: 900/1100, loss: 0.4859239459037781, latency(ms): 1.3620258867740631 | 2022-05-12 01:45:37.069
[rank:0] iter: 1000/1100, loss: 0.4837834537029266, latency(ms): 1.6854037344455719 | 2022-05-12 01:45:37.238
[rank:0] iter: 1100/1100, loss: 0.4830726385116577, latency(ms): 1.3400662317872047 | 2022-05-12 01:45:37.372