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: 0.4954844713211060, latency(ms): 218.0402296409010887 | 2022-05-15 01:44:32.470
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/15 01:44:32.497, Tesla V100-SXM2-32GB, 470.57.02, 55 %, 22 %, 32510 MiB, 27764 MiB, 4746 MiB
[rank:0] iter: 200/1100, loss: 0.4652978479862213, latency(ms): 181.1147592216730118 | 2022-05-15 01:44:50.582
[rank:0] iter: 300/1100, loss: 0.4584110677242279, latency(ms): 157.0107777789235115 | 2022-05-15 01:45:06.283
[rank:0] iter: 400/1100, loss: 0.4505062997341156, latency(ms): 156.8216755986213684 | 2022-05-15 01:45:21.965
[rank:0] iter: 500/1100, loss: 0.4487455785274506, latency(ms): 159.0066393464803696 | 2022-05-15 01:45:37.866
[rank:0] iter: 600/1100, loss: 0.4443049728870392, latency(ms): 160.1414814963936806 | 2022-05-15 01:45:53.880
[rank:0] iter: 700/1100, loss: 0.4378651380538940, latency(ms): 162.1148278936743736 | 2022-05-15 01:46:10.091
[rank:0] iter: 800/1100, loss: 0.4384961426258087, latency(ms): 162.7164240926504135 | 2022-05-15 01:46:26.363
[rank:0] iter: 900/1100, loss: 0.4310717880725861, latency(ms): 175.1442267373204231 | 2022-05-15 01:46:43.878
[rank:0] iter: 1000/1100, loss: 0.4269854426383972, latency(ms): 173.5286493971943855 | 2022-05-15 01:47:01.230
[rank:0] iter: 1100/1100, loss: 0.4280897378921509, latency(ms): 173.5503983870148659 | 2022-05-15 01:47:18.585