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: 0.5036721229553223, latency(ms): 345.1288655027747154 | 2022-05-10 01:52:57.949
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/10 01:52:57.967, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 27086 MiB, 5424 MiB
[rank:0] iter: 200/1100, loss: 0.4700511693954468, latency(ms): 300.8610601350665092 | 2022-05-10 01:53:28.035
[rank:0] iter: 300/1100, loss: 0.4606617689132690, latency(ms): 300.7896153256297112 | 2022-05-10 01:53:58.114
[rank:0] iter: 400/1100, loss: 0.4528139531612396, latency(ms): 300.2851115539669991 | 2022-05-10 01:54:28.143
[rank:0] iter: 500/1100, loss: 0.4514500498771667, latency(ms): 300.2498027309775352 | 2022-05-10 01:54:58.168
[rank:0] iter: 600/1100, loss: 0.4463260769844055, latency(ms): 300.9907495230436325 | 2022-05-10 01:55:28.267
[rank:0] iter: 700/1100, loss: 0.4406960308551788, latency(ms): 299.8890497162938118 | 2022-05-10 01:55:58.256
[rank:0] iter: 800/1100, loss: 0.4421714842319489, latency(ms): 301.1067170649766922 | 2022-05-10 01:56:28.366
[rank:0] iter: 900/1100, loss: 0.4342907369136810, latency(ms): 302.0063725858926773 | 2022-05-10 01:56:58.567
[rank:0] iter: 1000/1100, loss: 0.4312897622585297, latency(ms): 299.9264876171946526 | 2022-05-10 01:57:28.559
[rank:0] iter: 1100/1100, loss: 0.4332281053066254, latency(ms): 303.1553703173995018 | 2022-05-10 01:57:58.875