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: 0.4951524436473846, latency(ms): 208.8472680374979973 | 2022-05-13 01:47:01.366
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/13 01:47:01.405, Tesla V100-SXM2-32GB, 470.57.02, 62 %, 25 %, 32510 MiB, 27764 MiB, 4746 MiB
[rank:0] iter: 200/1100, loss: 0.4648080170154572, latency(ms): 160.1071535050868988 | 2022-05-13 01:47:17.377
[rank:0] iter: 300/1100, loss: 0.4581923186779022, latency(ms): 159.0040814504027367 | 2022-05-13 01:47:33.277
[rank:0] iter: 400/1100, loss: 0.4502474665641785, latency(ms): 154.0126346051692963 | 2022-05-13 01:47:48.678
[rank:0] iter: 500/1100, loss: 0.4485359191894531, latency(ms): 153.8101135194301605 | 2022-05-13 01:48:04.059
[rank:0] iter: 600/1100, loss: 0.4440364539623260, latency(ms): 154.1461517661809921 | 2022-05-13 01:48:19.474
[rank:0] iter: 700/1100, loss: 0.4374850988388062, latency(ms): 155.8805695176124573 | 2022-05-13 01:48:35.062
[rank:0] iter: 800/1100, loss: 0.4381516277790070, latency(ms): 154.6336164698004723 | 2022-05-13 01:48:50.526
[rank:0] iter: 900/1100, loss: 0.4305788278579712, latency(ms): 156.3188238441944122 | 2022-05-13 01:49:06.157
[rank:0] iter: 1000/1100, loss: 0.4264159798622131, latency(ms): 168.0135791748762131 | 2022-05-13 01:49:22.959
[rank:0] iter: 1100/1100, loss: 0.4275915026664734, latency(ms): 167.9972008988261223 | 2022-05-13 01:49:39.758