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: 0.4953729510307312, latency(ms): 225.9641482681035995 | 2022-04-12 17:05:41.973
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/12 17:05:41.995, Tesla V100-SXM2-32GB, 470.57.02, 63 %, 27 %, 32510 MiB, 27770 MiB, 4740 MiB
[rank:0] iter: 200/1100, loss: 0.4651952385902405, latency(ms): 173.0642350018024445 | 2022-04-12 17:05:59.279
[rank:0] iter: 300/1100, loss: 0.4583849310874939, latency(ms): 171.8338225781917572 | 2022-04-12 17:06:16.463
[rank:0] iter: 400/1100, loss: 0.4505311548709869, latency(ms): 172.1922266855835915 | 2022-04-12 17:06:33.682
[rank:0] iter: 500/1100, loss: 0.4487052857875824, latency(ms): 172.8446469455957413 | 2022-04-12 17:06:50.966
[rank:0] iter: 600/1100, loss: 0.4443111121654510, latency(ms): 173.1519265100359917 | 2022-04-12 17:07:08.282
[rank:0] iter: 700/1100, loss: 0.4377835392951965, latency(ms): 175.8399031683802605 | 2022-04-12 17:07:25.866
[rank:0] iter: 800/1100, loss: 0.4384313523769379, latency(ms): 174.1691000387072563 | 2022-04-12 17:07:43.283
[rank:0] iter: 900/1100, loss: 0.4308697581291199, latency(ms): 176.8185742199420929 | 2022-04-12 17:08:00.964
[rank:0] iter: 1000/1100, loss: 0.4266429245471954, latency(ms): 177.5749935209751129 | 2022-04-12 17:08:18.722
[rank:0] iter: 1100/1100, loss: 0.4278226196765900, latency(ms): 177.5715342909097672 | 2022-04-12 17:08:36.479