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 ...................................... 65536
  batch_size_per_proc ............................. 65536
  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: 0.4977506995201111, latency(ms): 138.8339368626475334 | 2022-05-02 01:41:08.762
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/02 01:41:08.786, Tesla V100-SXM2-32GB, 470.57.02, 44 %, 17 %, 32510 MiB, 29404 MiB, 3106 MiB
[rank:0] iter: 200/1100, loss: 0.4677897989749908, latency(ms): 99.9354517459869385 | 2022-05-02 01:41:18.755
[rank:0] iter: 300/1100, loss: 0.4620485007762909, latency(ms): 98.9425137639045715 | 2022-05-02 01:41:28.649
[rank:0] iter: 400/1100, loss: 0.4592242538928986, latency(ms): 97.9961890354752541 | 2022-05-02 01:41:38.449
[rank:0] iter: 500/1100, loss: 0.4563695490360260, latency(ms): 98.0764723196625710 | 2022-05-02 01:41:48.257
[rank:0] iter: 600/1100, loss: 0.4525567591190338, latency(ms): 97.9306502640247345 | 2022-05-02 01:41:58.050
[rank:0] iter: 700/1100, loss: 0.4468664228916168, latency(ms): 98.0216130241751671 | 2022-05-02 01:42:07.852
[rank:0] iter: 800/1100, loss: 0.4464620351791382, latency(ms): 95.9724337607622147 | 2022-05-02 01:42:17.449
[rank:0] iter: 900/1100, loss: 0.4456665813922882, latency(ms): 97.0674577727913857 | 2022-05-02 01:42:27.156
[rank:0] iter: 1000/1100, loss: 0.4452772438526154, latency(ms): 96.9782862812280655 | 2022-05-02 01:42:36.854
[rank:0] iter: 1100/1100, loss: 0.4449277222156525, latency(ms): 97.0217704027891159 | 2022-05-02 01:42:46.556