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: 0.5249683856964111, latency(ms): 51.9789619743824005 | 2022-04-07 01:40:27.579
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/07 01:40:27.601, Tesla V100-SXM2-32GB, 470.57.02, 15 %, 3 %, 32510 MiB, 31002 MiB, 1508 MiB
[rank:0] iter: 200/1100, loss: 0.4998464286327362, latency(ms): 1.6327266022562981 | 2022-04-07 01:40:27.742
[rank:0] iter: 300/1100, loss: 0.4980222284793854, latency(ms): 1.4066254347562790 | 2022-04-07 01:40:27.883
[rank:0] iter: 400/1100, loss: 0.4921937882900238, latency(ms): 1.6061146184802055 | 2022-04-07 01:40:28.044
[rank:0] iter: 500/1100, loss: 0.4936517775058746, latency(ms): 1.3509146869182587 | 2022-04-07 01:40:28.179
[rank:0] iter: 600/1100, loss: 0.4837906956672668, latency(ms): 1.5467621758580208 | 2022-04-07 01:40:28.334
[rank:0] iter: 700/1100, loss: 0.4855528771877289, latency(ms): 1.3533053919672966 | 2022-04-07 01:40:28.469
[rank:0] iter: 800/1100, loss: 0.4869073033332825, latency(ms): 1.6344235464930534 | 2022-04-07 01:40:28.632
[rank:0] iter: 900/1100, loss: 0.4859139323234558, latency(ms): 1.3266256079077721 | 2022-04-07 01:40:28.765
[rank:0] iter: 1000/1100, loss: 0.4828960299491882, latency(ms): 1.6480892151594162 | 2022-04-07 01:40:28.930
[rank:0] iter: 1100/1100, loss: 0.4825499653816223, latency(ms): 1.3350343704223633 | 2022-04-07 01:40:29.063