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: 0.5246588587760925, latency(ms): 43.0362507328391075 | 2022-04-10 01:39:33.467
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/10 01:39:33.488, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 31002 MiB, 1508 MiB
[rank:0] iter: 200/1100, loss: 0.5000751614570618, latency(ms): 1.6412298381328583 | 2022-04-10 01:39:33.631
[rank:0] iter: 300/1100, loss: 0.4974942803382874, latency(ms): 1.3697100803256035 | 2022-04-10 01:39:33.768
[rank:0] iter: 400/1100, loss: 0.4920469224452972, latency(ms): 1.6784919798374176 | 2022-04-10 01:39:33.936
[rank:0] iter: 500/1100, loss: 0.4957205057144165, latency(ms): 1.3981499522924423 | 2022-04-10 01:39:34.075
[rank:0] iter: 600/1100, loss: 0.4835099875926971, latency(ms): 1.6360006481409073 | 2022-04-10 01:39:34.239
[rank:0] iter: 700/1100, loss: 0.4869621396064758, latency(ms): 1.3582229986786842 | 2022-04-10 01:39:34.375
[rank:0] iter: 800/1100, loss: 0.4860823452472687, latency(ms): 1.7064041644334793 | 2022-04-10 01:39:34.546
[rank:0] iter: 900/1100, loss: 0.4850897192955017, latency(ms): 1.3508891314268112 | 2022-04-10 01:39:34.681
[rank:0] iter: 1000/1100, loss: 0.4837957322597504, latency(ms): 1.6347983479499817 | 2022-04-10 01:39:34.844
[rank:0] iter: 1100/1100, loss: 0.4832117855548859, latency(ms): 1.3610858470201492 | 2022-04-10 01:39:34.980