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: 0.5263812541961670, latency(ms): 36.5267243236303329 | 2022-05-26 01:49:31.401
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/26 01:49:31.434, Tesla V100-SXM2-32GB, 470.57.02, 77 %, 72 %, 32510 MiB, 30670 MiB, 1840 MiB
[rank:0] iter: 200/1100, loss: 0.4995035529136658, latency(ms): 4.2856864631175995 | 2022-05-26 01:49:31.829
[rank:0] iter: 300/1100, loss: 0.4974589645862579, latency(ms): 3.9858473092317581 | 2022-05-26 01:49:32.228
[rank:0] iter: 400/1100, loss: 0.4923951625823975, latency(ms): 3.9869714900851250 | 2022-05-26 01:49:32.627
[rank:0] iter: 500/1100, loss: 0.4934200644493103, latency(ms): 4.0710416436195374 | 2022-05-26 01:49:33.034
[rank:0] iter: 600/1100, loss: 0.4828178286552429, latency(ms): 3.9766778424382210 | 2022-05-26 01:49:33.432
[rank:0] iter: 700/1100, loss: 0.4861819744110107, latency(ms): 3.9926704019308090 | 2022-05-26 01:49:33.831
[rank:0] iter: 800/1100, loss: 0.4859839677810669, latency(ms): 3.9693663269281387 | 2022-05-26 01:49:34.228
[rank:0] iter: 900/1100, loss: 0.4852709174156189, latency(ms): 4.0168649703264236 | 2022-05-26 01:49:34.629
[rank:0] iter: 1000/1100, loss: 0.4823504686355591, latency(ms): 4.1533366218209267 | 2022-05-26 01:49:35.045
[rank:0] iter: 1100/1100, loss: 0.4827536642551422, latency(ms): 4.0704685822129250 | 2022-05-26 01:49:35.452