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: 0.5251615643501282, latency(ms): 38.7005271762609482 | 2022-05-15 01:42:11.357
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/15 01:42:11.382, Tesla V100-SXM2-32GB, 470.57.02, 67 %, 14 %, 32510 MiB, 31034 MiB, 1476 MiB
[rank:0] iter: 200/1100, loss: 0.5004042983055115, latency(ms): 1.3589667528867722 | 2022-05-15 01:42:11.493
[rank:0] iter: 300/1100, loss: 0.4978152811527252, latency(ms): 1.6463580727577209 | 2022-05-15 01:42:11.658
[rank:0] iter: 400/1100, loss: 0.4924388229846954, latency(ms): 1.3358280435204506 | 2022-05-15 01:42:11.791
[rank:0] iter: 500/1100, loss: 0.4954091608524323, latency(ms): 1.6468242555856705 | 2022-05-15 01:42:11.956
[rank:0] iter: 600/1100, loss: 0.4823109507560730, latency(ms): 1.6820076107978821 | 2022-05-15 01:42:12.124
[rank:0] iter: 700/1100, loss: 0.4875334501266479, latency(ms): 1.3546712696552277 | 2022-05-15 01:42:12.260
[rank:0] iter: 800/1100, loss: 0.4864767491817474, latency(ms): 1.3190082833170891 | 2022-05-15 01:42:12.392
[rank:0] iter: 900/1100, loss: 0.4861055314540863, latency(ms): 1.6483205184340477 | 2022-05-15 01:42:12.556
[rank:0] iter: 1000/1100, loss: 0.4838833212852478, latency(ms): 1.3430400565266609 | 2022-05-15 01:42:12.691
[rank:0] iter: 1100/1100, loss: 0.4826659858226776, latency(ms): 1.6352869942784309 | 2022-05-15 01:42:12.854