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: 0.5023736953735352, latency(ms): 361.1089821532368660 | 2022-04-01 01:49:11.575
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/01 01:49:11.594, Tesla V100-SXM2-32GB, 470.57.02, 38 %, 15 %, 32510 MiB, 27118 MiB, 5392 MiB
[rank:0] iter: 200/1100, loss: 0.4687553644180298, latency(ms): 301.7181545123457909 | 2022-04-01 01:49:41.747
[rank:0] iter: 300/1100, loss: 0.4604029953479767, latency(ms): 303.3423624187707901 | 2022-04-01 01:50:12.081
[rank:0] iter: 400/1100, loss: 0.4525276124477386, latency(ms): 303.6694350838661194 | 2022-04-01 01:50:42.448
[rank:0] iter: 500/1100, loss: 0.4511867463588715, latency(ms): 302.1226290240883827 | 2022-04-01 01:51:12.661
[rank:0] iter: 600/1100, loss: 0.4460864663124084, latency(ms): 301.9276461005210876 | 2022-04-01 01:51:42.853
[rank:0] iter: 700/1100, loss: 0.4404262900352478, latency(ms): 303.2494758069515228 | 2022-04-01 01:52:13.178
[rank:0] iter: 800/1100, loss: 0.4418520331382751, latency(ms): 301.7375786602497101 | 2022-04-01 01:52:43.352
[rank:0] iter: 900/1100, loss: 0.4338706731796265, latency(ms): 309.1207069903612137 | 2022-04-01 01:53:14.264
[rank:0] iter: 1000/1100, loss: 0.4308829605579376, latency(ms): 305.0689134001731873 | 2022-04-01 01:53:44.771
[rank:0] iter: 1100/1100, loss: 0.4328515529632568, latency(ms): 304.3716262653470039 | 2022-04-01 01:54:15.208