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: 0.5253621339797974, latency(ms): 44.5132194459438324 | 2022-04-21 01:44:29.100
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/21 01:44:29.119, Tesla V100-SXM2-32GB, 470.57.02, 22 %, 4 %, 32510 MiB, 31038 MiB, 1472 MiB
[rank:0] iter: 200/1100, loss: 0.5003070831298828, latency(ms): 1.5615468099713326 | 2022-04-21 01:44:29.256
[rank:0] iter: 300/1100, loss: 0.4965076446533203, latency(ms): 1.6378236934542656 | 2022-04-21 01:44:29.420
[rank:0] iter: 400/1100, loss: 0.4927057325839996, latency(ms): 1.3512729853391647 | 2022-04-21 01:44:29.555
[rank:0] iter: 500/1100, loss: 0.4949217140674591, latency(ms): 1.6971123591065407 | 2022-04-21 01:44:29.725
[rank:0] iter: 600/1100, loss: 0.4825396239757538, latency(ms): 1.3564071059226990 | 2022-04-21 01:44:29.861
[rank:0] iter: 700/1100, loss: 0.4871374368667603, latency(ms): 1.6570797562599182 | 2022-04-21 01:44:30.026
[rank:0] iter: 800/1100, loss: 0.4871886968612671, latency(ms): 1.3170240819454193 | 2022-04-21 01:44:30.158
[rank:0] iter: 900/1100, loss: 0.4863534867763519, latency(ms): 1.6814853996038437 | 2022-04-21 01:44:30.326
[rank:0] iter: 1000/1100, loss: 0.4830422699451447, latency(ms): 1.4138069376349449 | 2022-04-21 01:44:30.468
[rank:0] iter: 1100/1100, loss: 0.4841373860836029, latency(ms): 1.6453396528959274 | 2022-04-21 01:44:30.632