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: 0.4982879757881165, latency(ms): 136.8437752127647400 | 2022-05-14 01:44:52.461
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/14 01:44:52.483, Tesla V100-SXM2-32GB, 470.57.02, 50 %, 18 %, 32510 MiB, 29468 MiB, 3042 MiB
[rank:0] iter: 200/1100, loss: 0.4680434167385101, latency(ms): 98.9061243087053299 | 2022-05-14 01:45:02.351
[rank:0] iter: 300/1100, loss: 0.4623007178306580, latency(ms): 98.0228287354111671 | 2022-05-14 01:45:12.154
[rank:0] iter: 400/1100, loss: 0.4595284163951874, latency(ms): 98.0264622718095779 | 2022-05-14 01:45:21.956
[rank:0] iter: 500/1100, loss: 0.4567292332649231, latency(ms): 97.9359773918986320 | 2022-05-14 01:45:31.750
[rank:0] iter: 600/1100, loss: 0.4527846872806549, latency(ms): 98.0520228296518326 | 2022-05-14 01:45:41.555
[rank:0] iter: 700/1100, loss: 0.4469558298587799, latency(ms): 96.9672384485602379 | 2022-05-14 01:45:51.252
[rank:0] iter: 800/1100, loss: 0.4466180801391602, latency(ms): 98.0186927318572998 | 2022-05-14 01:46:01.054
[rank:0] iter: 900/1100, loss: 0.4458085000514984, latency(ms): 98.0073978751897812 | 2022-05-14 01:46:10.854
[rank:0] iter: 1000/1100, loss: 0.4453099966049194, latency(ms): 98.0355782061815262 | 2022-05-14 01:46:20.658
[rank:0] iter: 1100/1100, loss: 0.4450339972972870, latency(ms): 97.9250419139862061 | 2022-05-14 01:46:30.450