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: 0.5032042264938354, latency(ms): 361.8455657362937927 | 2022-04-27 10:27:10.236
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/27 10:27:10.267, Tesla V100-SXM2-32GB, 470.57.02, 41 %, 15 %, 32510 MiB, 27086 MiB, 5424 MiB
[rank:0] iter: 200/1100, loss: 0.4693858325481415, latency(ms): 304.4094239920377731 | 2022-04-27 10:27:40.677
[rank:0] iter: 300/1100, loss: 0.4602722823619843, latency(ms): 302.9480826482176781 | 2022-04-27 10:28:10.972
[rank:0] iter: 400/1100, loss: 0.4522475302219391, latency(ms): 301.8217262998223305 | 2022-04-27 10:28:41.154
[rank:0] iter: 500/1100, loss: 0.4510160088539124, latency(ms): 306.0531290620565414 | 2022-04-27 10:29:11.760
[rank:0] iter: 600/1100, loss: 0.4459763765335083, latency(ms): 300.1003380864858627 | 2022-04-27 10:29:41.770
[rank:0] iter: 700/1100, loss: 0.4403007030487061, latency(ms): 306.9646682590246201 | 2022-04-27 10:30:12.466
[rank:0] iter: 800/1100, loss: 0.4417425990104675, latency(ms): 305.2100173383951187 | 2022-04-27 10:30:42.987
[rank:0] iter: 900/1100, loss: 0.4336611628532410, latency(ms): 303.8169119507074356 | 2022-04-27 10:31:13.369
[rank:0] iter: 1000/1100, loss: 0.4307390153408051, latency(ms): 309.9100535735487938 | 2022-04-27 10:31:44.360
[rank:0] iter: 1100/1100, loss: 0.4327184259891510, latency(ms): 306.5446947142481804 | 2022-04-27 10:32:15.014