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 ............................................. 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: 0.4950797557830811, latency(ms): 216.8807155638933182 | 2022-04-30 02:11:17.066
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/30 02:11:17.093, Tesla V100-SXM2-32GB, 470.57.02, 63 %, 26 %, 32510 MiB, 28274 MiB, 4236 MiB
[rank:0] iter: 200/1100, loss: 0.4649736881256104, latency(ms): 172.1011976152658463 | 2022-04-30 02:11:34.276
[rank:0] iter: 300/1100, loss: 0.4583267271518707, latency(ms): 171.4870172739028931 | 2022-04-30 02:11:51.425
[rank:0] iter: 400/1100, loss: 0.4505071938037872, latency(ms): 175.3900609910488129 | 2022-04-30 02:12:08.964
[rank:0] iter: 500/1100, loss: 0.4487308263778687, latency(ms): 175.9615281224250793 | 2022-04-30 02:12:26.560
[rank:0] iter: 600/1100, loss: 0.4443376064300537, latency(ms): 177.0259718969464302 | 2022-04-30 02:12:44.263
[rank:0] iter: 700/1100, loss: 0.4377587437629700, latency(ms): 176.2124798819422722 | 2022-04-30 02:13:01.884
[rank:0] iter: 800/1100, loss: 0.4384722411632538, latency(ms): 177.8064866736531258 | 2022-04-30 02:13:19.665
[rank:0] iter: 900/1100, loss: 0.4309997856616974, latency(ms): 176.9854357093572617 | 2022-04-30 02:13:37.363
[rank:0] iter: 1000/1100, loss: 0.4268535971641541, latency(ms): 177.1550575271248817 | 2022-04-30 02:13:55.079
[rank:0] iter: 1100/1100, loss: 0.4279992282390594, latency(ms): 179.8518187552690506 | 2022-04-30 02:14:13.064