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: 0.4947727620601654, latency(ms): 222.9610786214470863 | 2022-04-18 01:59:51.160
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/18 01:59:51.182, Tesla V100-SXM2-32GB, 470.57.02, 63 %, 27 %, 32510 MiB, 27898 MiB, 4612 MiB
[rank:0] iter: 200/1100, loss: 0.4650649130344391, latency(ms): 175.0883088260889053 | 2022-04-18 02:00:08.669
[rank:0] iter: 300/1100, loss: 0.4582041203975677, latency(ms): 172.9027386009693146 | 2022-04-18 02:00:25.959
[rank:0] iter: 400/1100, loss: 0.4503826498985291, latency(ms): 170.6384484842419624 | 2022-04-18 02:00:43.023
[rank:0] iter: 500/1100, loss: 0.4485187530517578, latency(ms): 173.9498654007911682 | 2022-04-18 02:01:00.418
[rank:0] iter: 600/1100, loss: 0.4441300928592682, latency(ms): 175.5046145245432854 | 2022-04-18 02:01:17.968
[rank:0] iter: 700/1100, loss: 0.4376523494720459, latency(ms): 174.5841151103377342 | 2022-04-18 02:01:35.427
[rank:0] iter: 800/1100, loss: 0.4383112788200378, latency(ms): 173.4980781376361847 | 2022-04-18 02:01:52.777
[rank:0] iter: 900/1100, loss: 0.4308852851390839, latency(ms): 175.4692468792200089 | 2022-04-18 02:02:10.324
[rank:0] iter: 1000/1100, loss: 0.4267919063568115, latency(ms): 174.5194799453020096 | 2022-04-18 02:02:27.776
[rank:0] iter: 1100/1100, loss: 0.4279475808143616, latency(ms): 176.0360987111926079 | 2022-04-18 02:02:45.379