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: 0.4954409897327423, latency(ms): 227.3985578119754791 | 2022-04-27 10:20:55.533
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/27 10:20:55.554, Tesla V100-SXM2-32GB, 470.57.02, 45 %, 17 %, 32510 MiB, 27892 MiB, 4618 MiB
[rank:0] iter: 200/1100, loss: 0.4654145836830139, latency(ms): 179.5145687833428383 | 2022-04-27 10:21:13.484
[rank:0] iter: 300/1100, loss: 0.4583249986171722, latency(ms): 175.8029875531792641 | 2022-04-27 10:21:31.064
[rank:0] iter: 400/1100, loss: 0.4504390060901642, latency(ms): 175.6758321821689606 | 2022-04-27 10:21:48.632
[rank:0] iter: 500/1100, loss: 0.4486332833766937, latency(ms): 176.5252708271145821 | 2022-04-27 10:22:06.284
[rank:0] iter: 600/1100, loss: 0.4442433416843414, latency(ms): 176.8057513236999512 | 2022-04-27 10:22:23.965
[rank:0] iter: 700/1100, loss: 0.4377351105213165, latency(ms): 176.0163015127182007 | 2022-04-27 10:22:41.567
[rank:0] iter: 800/1100, loss: 0.4383862316608429, latency(ms): 179.1159059107303619 | 2022-04-27 10:22:59.478
[rank:0] iter: 900/1100, loss: 0.4309873580932617, latency(ms): 178.0055019631981850 | 2022-04-27 10:23:17.279
[rank:0] iter: 1000/1100, loss: 0.4268310070037842, latency(ms): 180.0589688494801521 | 2022-04-27 10:23:35.285
[rank:0] iter: 1100/1100, loss: 0.4279623925685883, latency(ms): 177.9990639165043831 | 2022-04-27 10:23:53.085