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 ...................................... 131072
  batch_size_per_proc ............................. 131072
  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: 0.5023425221443176, latency(ms): 351.9424355030059814 | 2022-05-02 01:49:18.665
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/02 01:49:18.690, Tesla V100-SXM2-32GB, 470.57.02, 63 %, 27 %, 32510 MiB, 27086 MiB, 5424 MiB
[rank:0] iter: 200/1100, loss: 0.4697723686695099, latency(ms): 300.7206141576170921 | 2022-05-02 01:49:48.737
[rank:0] iter: 300/1100, loss: 0.4604452252388000, latency(ms): 300.1345653831958771 | 2022-05-02 01:50:18.751
[rank:0] iter: 400/1100, loss: 0.4524407088756561, latency(ms): 300.0919312983751297 | 2022-05-02 01:50:48.760
[rank:0] iter: 500/1100, loss: 0.4510979056358337, latency(ms): 301.0242281109094620 | 2022-05-02 01:51:18.862
[rank:0] iter: 600/1100, loss: 0.4458900094032288, latency(ms): 300.9114641696214676 | 2022-05-02 01:51:48.953
[rank:0] iter: 700/1100, loss: 0.4401644766330719, latency(ms): 300.1681539416313171 | 2022-05-02 01:52:18.970
[rank:0] iter: 800/1100, loss: 0.4417181313037872, latency(ms): 299.8159589245915413 | 2022-05-02 01:52:48.952
[rank:0] iter: 900/1100, loss: 0.4335995614528656, latency(ms): 300.5656640231609344 | 2022-05-02 01:53:19.008
[rank:0] iter: 1000/1100, loss: 0.4306370913982391, latency(ms): 302.4648290127515793 | 2022-05-02 01:53:49.255
[rank:0] iter: 1100/1100, loss: 0.4325774013996124, latency(ms): 302.2099060565233231 | 2022-05-02 01:54:19.476