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 ...................................... 65536
  batch_size_per_proc ............................. 65536
  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: 0.5050860047340393, latency(ms): 168.5037246719002724 | 2022-04-09 01:53:35.431
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/09 01:53:35.462, Tesla V100-SXM2-32GB, 470.57.02, 59 %, 26 %, 32510 MiB, 28992 MiB, 3518 MiB
[rank:0] iter: 200/1100, loss: 0.4737761616706848, latency(ms): 113.2818811759352684 | 2022-04-09 01:53:46.759
[rank:0] iter: 300/1100, loss: 0.4643324613571167, latency(ms): 114.7689373418688774 | 2022-04-09 01:53:58.236
[rank:0] iter: 400/1100, loss: 0.4610389471054077, latency(ms): 114.9876345694065094 | 2022-04-09 01:54:09.734
[rank:0] iter: 500/1100, loss: 0.4578761160373688, latency(ms): 117.2028058767318726 | 2022-04-09 01:54:21.455
[rank:0] iter: 600/1100, loss: 0.4526887536048889, latency(ms): 115.7291237637400627 | 2022-04-09 01:54:33.028
[rank:0] iter: 700/1100, loss: 0.4471765756607056, latency(ms): 115.9267340227961540 | 2022-04-09 01:54:44.620
[rank:0] iter: 800/1100, loss: 0.4479942619800568, latency(ms): 118.2467368245124817 | 2022-04-09 01:54:56.445
[rank:0] iter: 900/1100, loss: 0.4471779167652130, latency(ms): 119.6478360891342163 | 2022-04-09 01:55:08.410
[rank:0] iter: 1000/1100, loss: 0.4465934336185455, latency(ms): 125.0314988195896149 | 2022-04-09 01:55:20.913
[rank:0] iter: 1100/1100, loss: 0.4466764330863953, latency(ms): 124.5148498564958572 | 2022-04-09 01:55:33.364