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: 0.5261432528495789, latency(ms): 44.3936879187822342 | 2022-04-09 01:48:00.627
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/09 01:48:00.651, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 7 %, 32510 MiB, 31002 MiB, 1508 MiB
[rank:0] iter: 200/1100, loss: 0.5007702112197876, latency(ms): 1.3978184759616852 | 2022-04-09 01:48:00.767
[rank:0] iter: 300/1100, loss: 0.4974339306354523, latency(ms): 1.6656821593642235 | 2022-04-09 01:48:00.934
[rank:0] iter: 400/1100, loss: 0.4919274151325226, latency(ms): 1.3410815224051476 | 2022-04-09 01:48:01.068
[rank:0] iter: 500/1100, loss: 0.4949845373630524, latency(ms): 1.6741726174950600 | 2022-04-09 01:48:01.235
[rank:0] iter: 600/1100, loss: 0.4830690324306488, latency(ms): 1.3741327822208405 | 2022-04-09 01:48:01.372
[rank:0] iter: 700/1100, loss: 0.4860623180866241, latency(ms): 1.6530517861247063 | 2022-04-09 01:48:01.538
[rank:0] iter: 800/1100, loss: 0.4865342378616333, latency(ms): 1.3635707646608353 | 2022-04-09 01:48:01.674
[rank:0] iter: 900/1100, loss: 0.4856676459312439, latency(ms): 1.6874132305383682 | 2022-04-09 01:48:01.843
[rank:0] iter: 1000/1100, loss: 0.4844028055667877, latency(ms): 1.3799015805125237 | 2022-04-09 01:48:01.981
[rank:0] iter: 1100/1100, loss: 0.4831258356571198, latency(ms): 1.4957961067557335 | 2022-04-09 01:48:02.130