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 ...................................... 512
  batch_size_per_proc ............................. 512
  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: 0.5282299518585205, latency(ms): 32.7517215162515640 | 2022-04-30 02:14:20.746
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/30 02:14:20.771, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 97 %, 32510 MiB, 30676 MiB, 1834 MiB
[rank:0] iter: 200/1100, loss: 0.5000011324882507, latency(ms): 4.2323532328009605 | 2022-04-30 02:14:21.169
[rank:0] iter: 300/1100, loss: 0.4966768026351929, latency(ms): 4.0895942971110344 | 2022-04-30 02:14:21.578
[rank:0] iter: 400/1100, loss: 0.4916137456893921, latency(ms): 4.0691663324832916 | 2022-04-30 02:14:21.985
[rank:0] iter: 500/1100, loss: 0.4932221174240112, latency(ms): 4.0316225588321686 | 2022-04-30 02:14:22.388
[rank:0] iter: 600/1100, loss: 0.4828311502933502, latency(ms): 4.0757232531905174 | 2022-04-30 02:14:22.796
[rank:0] iter: 700/1100, loss: 0.4851019382476807, latency(ms): 4.0905298665165901 | 2022-04-30 02:14:23.205
[rank:0] iter: 800/1100, loss: 0.4856761693954468, latency(ms): 4.1279699653387070 | 2022-04-30 02:14:23.618
[rank:0] iter: 900/1100, loss: 0.4850614666938782, latency(ms): 4.0926721319556236 | 2022-04-30 02:14:24.027
[rank:0] iter: 1000/1100, loss: 0.4826214909553528, latency(ms): 4.1600098088383675 | 2022-04-30 02:14:24.443
[rank:0] iter: 1100/1100, loss: 0.4822206199169159, latency(ms): 4.1096429526805878 | 2022-04-30 02:14:24.854