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 ...................................... 131072
  batch_size_per_proc ............................. 131072
  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: 0.4962980747222900, latency(ms): 227.1083300560712814 | 2022-04-07 01:42:45.388
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/07 01:42:45.413, Tesla V100-SXM2-32GB, 470.57.02, 51 %, 22 %, 32510 MiB, 27860 MiB, 4650 MiB
[rank:0] iter: 200/1100, loss: 0.4654113650321960, latency(ms): 167.9351786524057388 | 2022-04-07 01:43:02.181
[rank:0] iter: 300/1100, loss: 0.4584437310695648, latency(ms): 167.8383759036660194 | 2022-04-07 01:43:18.965
[rank:0] iter: 400/1100, loss: 0.4507674872875214, latency(ms): 167.2050330042839050 | 2022-04-07 01:43:35.685
[rank:0] iter: 500/1100, loss: 0.4488783180713654, latency(ms): 166.7817361280322075 | 2022-04-07 01:43:52.364
[rank:0] iter: 600/1100, loss: 0.4445225000381470, latency(ms): 169.0272211655974388 | 2022-04-07 01:44:09.266
[rank:0] iter: 700/1100, loss: 0.4379934966564178, latency(ms): 171.9848344102501869 | 2022-04-07 01:44:26.465
[rank:0] iter: 800/1100, loss: 0.4386159777641296, latency(ms): 170.1651525869965553 | 2022-04-07 01:44:43.481
[rank:0] iter: 900/1100, loss: 0.4311895370483398, latency(ms): 172.8463590145111084 | 2022-04-07 01:45:00.766
[rank:0] iter: 1000/1100, loss: 0.4269764423370361, latency(ms): 176.9678603857755661 | 2022-04-07 01:45:18.463
[rank:0] iter: 1100/1100, loss: 0.4280278384685516, latency(ms): 176.0180836915969849 | 2022-04-07 01:45:36.065