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: 0.4942322969436646, latency(ms): 219.1789709776639938 | 2022-05-07 01:45:23.790
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/07 01:45:23.814, Tesla V100-SXM2-32GB, 470.57.02, 45 %, 22 %, 32510 MiB, 27764 MiB, 4746 MiB
[rank:0] iter: 200/1100, loss: 0.4645599126815796, latency(ms): 175.4444111883640289 | 2022-05-07 01:45:41.334
[rank:0] iter: 300/1100, loss: 0.4577045142650604, latency(ms): 177.3077148571610451 | 2022-05-07 01:45:59.065
[rank:0] iter: 400/1100, loss: 0.4498411417007446, latency(ms): 156.2880407273769379 | 2022-05-07 01:46:14.694
[rank:0] iter: 500/1100, loss: 0.4481619596481323, latency(ms): 157.9260231927037239 | 2022-05-07 01:46:30.487
[rank:0] iter: 600/1100, loss: 0.4437426626682281, latency(ms): 161.4019254595041275 | 2022-05-07 01:46:46.627
[rank:0] iter: 700/1100, loss: 0.4371558427810669, latency(ms): 159.5609739422798157 | 2022-05-07 01:47:02.583
[rank:0] iter: 800/1100, loss: 0.4379101693630219, latency(ms): 162.9512275010347366 | 2022-05-07 01:47:18.878
[rank:0] iter: 900/1100, loss: 0.4304625689983368, latency(ms): 165.8376667648553848 | 2022-05-07 01:47:35.462
[rank:0] iter: 1000/1100, loss: 0.4262098670005798, latency(ms): 175.2123402059078217 | 2022-05-07 01:47:52.983
[rank:0] iter: 1100/1100, loss: 0.4274042844772339, latency(ms): 173.8564942404627800 | 2022-05-07 01:48:10.369