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 ............................................. False
  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 .................................. graph
  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: 0.4941408634185791, latency(ms): 228.8319865614175797 | 2022-04-09 01:50:17.267
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/09 01:50:17.287, Tesla V100-SXM2-32GB, 470.57.02, 57 %, 23 %, 32510 MiB, 27732 MiB, 4778 MiB
[rank:0] iter: 200/1100, loss: 0.4644159972667694, latency(ms): 163.1768388673663139 | 2022-04-09 01:50:33.585
[rank:0] iter: 300/1100, loss: 0.4576556086540222, latency(ms): 157.8015317767858505 | 2022-04-09 01:50:49.365
[rank:0] iter: 400/1100, loss: 0.4497806131839752, latency(ms): 158.1363042816519737 | 2022-04-09 01:51:05.179
[rank:0] iter: 500/1100, loss: 0.4481337070465088, latency(ms): 159.8582381382584572 | 2022-04-09 01:51:21.165
[rank:0] iter: 600/1100, loss: 0.4437028169631958, latency(ms): 157.0233317837119102 | 2022-04-09 01:51:36.867
[rank:0] iter: 700/1100, loss: 0.4371756613254547, latency(ms): 158.9896751195192337 | 2022-04-09 01:51:52.766
[rank:0] iter: 800/1100, loss: 0.4378684759140015, latency(ms): 165.1637716218829155 | 2022-04-09 01:52:09.282
[rank:0] iter: 900/1100, loss: 0.4303275644779205, latency(ms): 173.9358363300561905 | 2022-04-09 01:52:26.676
[rank:0] iter: 1000/1100, loss: 0.4262253940105438, latency(ms): 168.0355617776513100 | 2022-04-09 01:52:43.479
[rank:0] iter: 1100/1100, loss: 0.4274207949638367, latency(ms): 169.8465589433908463 | 2022-04-09 01:53:00.464