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: 0.5274093747138977, latency(ms): 35.5674475058913231 | 2022-05-27 01:49:23.130
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/27 01:49:23.161, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 95 %, 32510 MiB, 30670 MiB, 1840 MiB
[rank:0] iter: 200/1100, loss: 0.5011087656021118, latency(ms): 4.3374517560005188 | 2022-05-27 01:49:23.564
[rank:0] iter: 300/1100, loss: 0.4964604079723358, latency(ms): 4.0486221760511398 | 2022-05-27 01:49:23.969
[rank:0] iter: 400/1100, loss: 0.4925722479820251, latency(ms): 4.0858722850680351 | 2022-05-27 01:49:24.377
[rank:0] iter: 500/1100, loss: 0.4941117465496063, latency(ms): 4.0571958944201469 | 2022-05-27 01:49:24.783
[rank:0] iter: 600/1100, loss: 0.4812836349010468, latency(ms): 4.0900466963648796 | 2022-05-27 01:49:25.192
[rank:0] iter: 700/1100, loss: 0.4863519668579102, latency(ms): 4.1074575483798981 | 2022-05-27 01:49:25.603
[rank:0] iter: 800/1100, loss: 0.4860180616378784, latency(ms): 4.0992804989218712 | 2022-05-27 01:49:26.013
[rank:0] iter: 900/1100, loss: 0.4859223067760468, latency(ms): 4.1569113358855247 | 2022-05-27 01:49:26.428
[rank:0] iter: 1000/1100, loss: 0.4822026491165161, latency(ms): 4.1235730797052383 | 2022-05-27 01:49:26.841
[rank:0] iter: 1100/1100, loss: 0.4825326204299927, latency(ms): 4.0924996510148048 | 2022-05-27 01:49:27.250