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 ............................................. 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: 0.5249246358871460, latency(ms): 37.9204575717449188 | 2022-04-28 01:43:58.980
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/28 01:43:58.997, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 31034 MiB, 1476 MiB
[rank:0] iter: 200/1100, loss: 0.4997673332691193, latency(ms): 1.6365864500403404 | 2022-04-28 01:43:59.143
[rank:0] iter: 300/1100, loss: 0.4986343383789062, latency(ms): 1.3508246466517448 | 2022-04-28 01:43:59.279
[rank:0] iter: 400/1100, loss: 0.4931995272636414, latency(ms): 1.6613319888710976 | 2022-04-28 01:43:59.445
[rank:0] iter: 500/1100, loss: 0.4941105246543884, latency(ms): 1.3789833709597588 | 2022-04-28 01:43:59.583
[rank:0] iter: 600/1100, loss: 0.4831457436084747, latency(ms): 1.6722656786441803 | 2022-04-28 01:43:59.750
[rank:0] iter: 700/1100, loss: 0.4868477880954742, latency(ms): 1.3446149975061417 | 2022-04-28 01:43:59.884
[rank:0] iter: 800/1100, loss: 0.4859022200107574, latency(ms): 1.6806966438889503 | 2022-04-28 01:44:00.052
[rank:0] iter: 900/1100, loss: 0.4864543080329895, latency(ms): 1.6427053138613701 | 2022-04-28 01:44:00.217
[rank:0] iter: 1000/1100, loss: 0.4824444651603699, latency(ms): 1.3876521587371826 | 2022-04-28 01:44:00.355
[rank:0] iter: 1100/1100, loss: 0.4832541346549988, latency(ms): 1.6809388995170593 | 2022-04-28 01:44:00.523