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 ............................................. True
  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 .................................. eager
  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: 0.5276597738265991, latency(ms): 39.0334789454936981 | 2022-04-26 09:57:20.362
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/26 09:57:20.392, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 85 %, 32510 MiB, 30676 MiB, 1834 MiB
[rank:0] iter: 200/1100, loss: 0.4995153546333313, latency(ms): 4.1995538398623466 | 2022-04-26 09:57:20.782
[rank:0] iter: 300/1100, loss: 0.4985503852367401, latency(ms): 3.9206824451684952 | 2022-04-26 09:57:21.174
[rank:0] iter: 400/1100, loss: 0.4910241961479187, latency(ms): 3.9257373660802841 | 2022-04-26 09:57:21.567
[rank:0] iter: 500/1100, loss: 0.4947683811187744, latency(ms): 3.8919545710086823 | 2022-04-26 09:57:21.956
[rank:0] iter: 600/1100, loss: 0.4817720353603363, latency(ms): 3.8929012045264244 | 2022-04-26 09:57:22.345
[rank:0] iter: 700/1100, loss: 0.4850375652313232, latency(ms): 3.9154719188809395 | 2022-04-26 09:57:22.737
[rank:0] iter: 800/1100, loss: 0.4856601953506470, latency(ms): 3.9162262156605721 | 2022-04-26 09:57:23.128
[rank:0] iter: 900/1100, loss: 0.4844999611377716, latency(ms): 3.9099416136741638 | 2022-04-26 09:57:23.519
[rank:0] iter: 1000/1100, loss: 0.4825949966907501, latency(ms): 3.9278658851981163 | 2022-04-26 09:57:23.912
[rank:0] iter: 1100/1100, loss: 0.4835840463638306, latency(ms): 3.9519451931118965 | 2022-04-26 09:57:24.307