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 ............................................. 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: 0.4977061152458191, latency(ms): 133.5618203133344650 | 2022-04-29 01:41:52.559
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/29 01:41:52.580, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 4 %, 32510 MiB, 29404 MiB, 3106 MiB
[rank:0] iter: 200/1100, loss: 0.4677228033542633, latency(ms): 95.8610051125288010 | 2022-04-29 01:42:02.145
[rank:0] iter: 300/1100, loss: 0.4619418978691101, latency(ms): 98.0602972581982613 | 2022-04-29 01:42:11.951
[rank:0] iter: 400/1100, loss: 0.4592316150665283, latency(ms): 98.9569527655839920 | 2022-04-29 01:42:21.847
[rank:0] iter: 500/1100, loss: 0.4563357830047607, latency(ms): 95.0598764419555664 | 2022-04-29 01:42:31.353
[rank:0] iter: 600/1100, loss: 0.4525536000728607, latency(ms): 95.9751141071319580 | 2022-04-29 01:42:40.951
[rank:0] iter: 700/1100, loss: 0.4468075633049011, latency(ms): 96.9810196757316589 | 2022-04-29 01:42:50.649
[rank:0] iter: 800/1100, loss: 0.4466014504432678, latency(ms): 96.8772939592599869 | 2022-04-29 01:43:00.336
[rank:0] iter: 900/1100, loss: 0.4456344842910767, latency(ms): 95.1420953124761581 | 2022-04-29 01:43:09.851
[rank:0] iter: 1000/1100, loss: 0.4451611638069153, latency(ms): 95.0083593279123306 | 2022-04-29 01:43:19.351
[rank:0] iter: 1100/1100, loss: 0.4449919462203979, latency(ms): 95.1154942438006401 | 2022-04-29 01:43:28.863