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 ...................................... 512
  batch_size_per_proc ............................. 512
  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: 0.5248138904571533, latency(ms): 45.6143822520971298 | 2022-05-21 02:00:06.860
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/21 02:00:06.876, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 31028 MiB, 1482 MiB
[rank:0] iter: 200/1100, loss: 0.5001962184906006, latency(ms): 1.3178583979606628 | 2022-05-21 02:00:06.991
[rank:0] iter: 300/1100, loss: 0.4968086183071136, latency(ms): 1.6052295640110970 | 2022-05-21 02:00:07.152
[rank:0] iter: 400/1100, loss: 0.4932174980640411, latency(ms): 1.3179913908243179 | 2022-05-21 02:00:07.284
[rank:0] iter: 500/1100, loss: 0.4947987794876099, latency(ms): 1.5875378623604774 | 2022-05-21 02:00:07.442
[rank:0] iter: 600/1100, loss: 0.4836904108524323, latency(ms): 1.3203290849924088 | 2022-05-21 02:00:07.574
[rank:0] iter: 700/1100, loss: 0.4864693582057953, latency(ms): 1.6166584193706512 | 2022-05-21 02:00:07.736
[rank:0] iter: 800/1100, loss: 0.4861479699611664, latency(ms): 1.3869144394993782 | 2022-05-21 02:00:07.875
[rank:0] iter: 900/1100, loss: 0.4860621690750122, latency(ms): 1.5151367709040642 | 2022-05-21 02:00:08.026
[rank:0] iter: 1000/1100, loss: 0.4827096462249756, latency(ms): 1.3301527500152588 | 2022-05-21 02:00:08.159
[rank:0] iter: 1100/1100, loss: 0.4837741851806641, latency(ms): 1.5772983804345131 | 2022-05-21 02:00:08.317