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 ...................................... 512
  batch_size_per_proc ............................. 512
  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: 0.5248939990997314, latency(ms): 38.5853988304734230 | 2022-05-22 01:58:34.828
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/22 01:58:34.851, Tesla V100-SXM2-32GB, 470.57.02, 7 %, 1 %, 32510 MiB, 31026 MiB, 1484 MiB
[rank:0] iter: 200/1100, loss: 0.4998824000358582, latency(ms): 1.3962995633482933 | 2022-05-22 01:58:34.968
[rank:0] iter: 300/1100, loss: 0.4980887174606323, latency(ms): 1.6016524657607079 | 2022-05-22 01:58:35.128
[rank:0] iter: 400/1100, loss: 0.4919979870319366, latency(ms): 1.3398895412683487 | 2022-05-22 01:58:35.262
[rank:0] iter: 500/1100, loss: 0.4946067333221436, latency(ms): 1.6353959962725639 | 2022-05-22 01:58:35.426
[rank:0] iter: 600/1100, loss: 0.4834710657596588, latency(ms): 1.3485829159617424 | 2022-05-22 01:58:35.561
[rank:0] iter: 700/1100, loss: 0.4867648780345917, latency(ms): 1.6295117884874344 | 2022-05-22 01:58:35.724
[rank:0] iter: 800/1100, loss: 0.4868374168872833, latency(ms): 1.5024932101368904 | 2022-05-22 01:58:35.874
[rank:0] iter: 900/1100, loss: 0.4851003587245941, latency(ms): 1.1551033705472946 | 2022-05-22 01:58:35.989
[rank:0] iter: 1000/1100, loss: 0.4826130270957947, latency(ms): 1.3640812039375305 | 2022-05-22 01:58:36.126
[rank:0] iter: 1100/1100, loss: 0.4839478731155396, latency(ms): 1.2676427140831947 | 2022-05-22 01:58:36.252