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 ............................................. 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: 0.5053825974464417, latency(ms): 155.1414102315902710 | 2022-05-27 01:49:46.972
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/27 01:49:47.026, Tesla V100-SXM2-32GB, 470.57.02, 35 %, 15 %, 32510 MiB, 28954 MiB, 3556 MiB
[rank:0] iter: 200/1100, loss: 0.4717715978622437, latency(ms): 115.8854897320270538 | 2022-05-27 01:49:58.560
[rank:0] iter: 300/1100, loss: 0.4639493823051453, latency(ms): 114.7791094705462456 | 2022-05-27 01:50:10.038
[rank:0] iter: 400/1100, loss: 0.4606205224990845, latency(ms): 117.7362151071429253 | 2022-05-27 01:50:21.812
[rank:0] iter: 500/1100, loss: 0.4576298892498016, latency(ms): 117.6959905773401260 | 2022-05-27 01:50:33.582
[rank:0] iter: 600/1100, loss: 0.4526306390762329, latency(ms): 119.5685354620218277 | 2022-05-27 01:50:45.538
[rank:0] iter: 700/1100, loss: 0.4471058547496796, latency(ms): 118.6890409886837006 | 2022-05-27 01:50:57.407
[rank:0] iter: 800/1100, loss: 0.4478678405284882, latency(ms): 121.8723889812827110 | 2022-05-27 01:51:09.595
[rank:0] iter: 900/1100, loss: 0.4470814466476440, latency(ms): 124.6191994473338127 | 2022-05-27 01:51:22.057
[rank:0] iter: 1000/1100, loss: 0.4466165602207184, latency(ms): 126.3570795953273773 | 2022-05-27 01:51:34.692
[rank:0] iter: 1100/1100, loss: 0.4466881155967712, latency(ms): 128.2874381169676781 | 2022-05-27 01:51:47.521