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: 0.5255000591278076, latency(ms): 48.4945538267493248 | 2022-05-20 02:07:14.583
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/20 02:07:14.611, Tesla V100-SXM2-32GB, 470.57.02, 25 %, 5 %, 32510 MiB, 31028 MiB, 1482 MiB
[rank:0] iter: 200/1100, loss: 0.5003554224967957, latency(ms): 1.6873911768198013 | 2022-05-20 02:07:14.751
[rank:0] iter: 300/1100, loss: 0.4978342950344086, latency(ms): 1.2933529540896416 | 2022-05-20 02:07:14.881
[rank:0] iter: 400/1100, loss: 0.4921986758708954, latency(ms): 1.6302311047911644 | 2022-05-20 02:07:15.044
[rank:0] iter: 500/1100, loss: 0.4954568147659302, latency(ms): 1.2960312142968178 | 2022-05-20 02:07:15.173
[rank:0] iter: 600/1100, loss: 0.4827685654163361, latency(ms): 1.5708150342106819 | 2022-05-20 02:07:15.330
[rank:0] iter: 700/1100, loss: 0.4872448742389679, latency(ms): 1.3365043327212334 | 2022-05-20 02:07:15.464
[rank:0] iter: 800/1100, loss: 0.4867515861988068, latency(ms): 1.5731793642044067 | 2022-05-20 02:07:15.621
[rank:0] iter: 900/1100, loss: 0.4853790700435638, latency(ms): 1.2800816074013710 | 2022-05-20 02:07:15.749
[rank:0] iter: 1000/1100, loss: 0.4834965169429779, latency(ms): 1.3512544706463814 | 2022-05-20 02:07:15.885
[rank:0] iter: 1100/1100, loss: 0.4836134016513824, latency(ms): 1.5325495973229408 | 2022-05-20 02:07:16.038