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 ...................................... 131072
  batch_size_per_proc ............................. 131072
  data_dir ........................................ /dataset/f9f659c5/wdl_ofrecord
  data_part_name_suffix_length .................... 5
  data_part_num ................................... 256
  dataset_format .................................. ofrecord
  ddp ............................................. True
  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 .................................. eager
  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: 0.5027083158493042, latency(ms): 358.0089298263192177 | 2022-04-03 01:47:26.345
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/03 01:47:26.371, Tesla V100-SXM2-32GB, 470.57.02, 53 %, 21 %, 32510 MiB, 27118 MiB, 5392 MiB
[rank:0] iter: 200/1100, loss: 0.4686348438262939, latency(ms): 303.6618578806519508 | 2022-04-03 01:47:56.711
[rank:0] iter: 300/1100, loss: 0.4603101015090942, latency(ms): 301.2910709530115128 | 2022-04-03 01:48:26.840
[rank:0] iter: 400/1100, loss: 0.4522882401943207, latency(ms): 301.1799331754446030 | 2022-04-03 01:48:56.958
[rank:0] iter: 500/1100, loss: 0.4509663283824921, latency(ms): 303.0436610430479050 | 2022-04-03 01:49:27.262
[rank:0] iter: 600/1100, loss: 0.4458723068237305, latency(ms): 301.9832877442240715 | 2022-04-03 01:49:57.461
[rank:0] iter: 700/1100, loss: 0.4400895237922668, latency(ms): 302.0227919518947601 | 2022-04-03 01:50:27.663
[rank:0] iter: 800/1100, loss: 0.4416283071041107, latency(ms): 303.2004834339022636 | 2022-04-03 01:50:57.983
[rank:0] iter: 900/1100, loss: 0.4334915280342102, latency(ms): 301.0351523756980896 | 2022-04-03 01:51:28.086
[rank:0] iter: 1000/1100, loss: 0.4304952323436737, latency(ms): 301.9168808683753014 | 2022-04-03 01:51:58.278
[rank:0] iter: 1100/1100, loss: 0.4325394034385681, latency(ms): 307.0963075384497643 | 2022-04-03 01:52:28.988