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: 0.4947853982448578, latency(ms): 225.0015296787023544 | 2022-04-20 01:46:04.375
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/20 01:46:04.399, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 35 %, 32510 MiB, 28280 MiB, 4230 MiB
[rank:0] iter: 200/1100, loss: 0.4648851454257965, latency(ms): 178.8533102348446846 | 2022-04-20 01:46:22.260
[rank:0] iter: 300/1100, loss: 0.4580517113208771, latency(ms): 181.9459063559770584 | 2022-04-20 01:46:40.455
[rank:0] iter: 400/1100, loss: 0.4502362310886383, latency(ms): 170.2742050588130951 | 2022-04-20 01:46:57.482
[rank:0] iter: 500/1100, loss: 0.4484646618366241, latency(ms): 155.9175404161214828 | 2022-04-20 01:47:13.074
[rank:0] iter: 600/1100, loss: 0.4440431296825409, latency(ms): 155.5526424944400787 | 2022-04-20 01:47:28.629
[rank:0] iter: 700/1100, loss: 0.4374309182167053, latency(ms): 158.5425122454762459 | 2022-04-20 01:47:44.483
[rank:0] iter: 800/1100, loss: 0.4381113350391388, latency(ms): 159.9177640676498413 | 2022-04-20 01:48:00.475
[rank:0] iter: 900/1100, loss: 0.4305948615074158, latency(ms): 158.8231880217790604 | 2022-04-20 01:48:16.357
[rank:0] iter: 1000/1100, loss: 0.4264025390148163, latency(ms): 160.0106032937765121 | 2022-04-20 01:48:32.358
[rank:0] iter: 1100/1100, loss: 0.4275626242160797, latency(ms): 184.1847376152873039 | 2022-04-20 01:48:50.777