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: 0.5253882408142090, latency(ms): 41.8866464868187904 | 2022-04-17 01:39:59.975
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/17 01:40:00.749, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 31038 MiB, 1472 MiB
[rank:0] iter: 200/1100, loss: 0.5005629062652588, latency(ms): 8.8617581501603127 | 2022-04-17 01:40:00.861
[rank:0] iter: 300/1100, loss: 0.4973235428333282, latency(ms): 1.5966384857892990 | 2022-04-17 01:40:01.021
[rank:0] iter: 400/1100, loss: 0.4928137063980103, latency(ms): 1.3442855700850487 | 2022-04-17 01:40:01.156
[rank:0] iter: 500/1100, loss: 0.4948449432849884, latency(ms): 1.6959099844098091 | 2022-04-17 01:40:01.325
[rank:0] iter: 600/1100, loss: 0.4828193783760071, latency(ms): 1.3758569955825806 | 2022-04-17 01:40:01.463
[rank:0] iter: 700/1100, loss: 0.4874927997589111, latency(ms): 1.6930431500077248 | 2022-04-17 01:40:01.632
[rank:0] iter: 800/1100, loss: 0.4872322976589203, latency(ms): 1.3410891592502594 | 2022-04-17 01:40:01.766
[rank:0] iter: 900/1100, loss: 0.4856914579868317, latency(ms): 1.6591527685523033 | 2022-04-17 01:40:01.932
[rank:0] iter: 1000/1100, loss: 0.4827392697334290, latency(ms): 1.3456924259662628 | 2022-04-17 01:40:02.067
[rank:0] iter: 1100/1100, loss: 0.4824174642562866, latency(ms): 1.6215117648243904 | 2022-04-17 01:40:02.229