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 ...................................... 65536
  batch_size_per_proc ............................. 65536
  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: 0.4975717663764954, latency(ms): 134.9298218265175819 | 2022-04-14 01:42:17.346
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/14 01:42:17.997, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29410 MiB, 3100 MiB
[rank:0] iter: 200/1100, loss: 0.4675935506820679, latency(ms): 105.1268831640481949 | 2022-04-14 01:42:27.858
[rank:0] iter: 300/1100, loss: 0.4620460271835327, latency(ms): 96.9184020534157753 | 2022-04-14 01:42:37.550
[rank:0] iter: 400/1100, loss: 0.4593193829059601, latency(ms): 95.6888574734330177 | 2022-04-14 01:42:47.119
[rank:0] iter: 500/1100, loss: 0.4565192461013794, latency(ms): 95.2886359021067619 | 2022-04-14 01:42:56.648
[rank:0] iter: 600/1100, loss: 0.4525803029537201, latency(ms): 95.0110990554094315 | 2022-04-14 01:43:06.149
[rank:0] iter: 700/1100, loss: 0.4467844069004059, latency(ms): 96.9991203770041466 | 2022-04-14 01:43:15.849
[rank:0] iter: 800/1100, loss: 0.4463977813720703, latency(ms): 97.9766257479786873 | 2022-04-14 01:43:25.646
[rank:0] iter: 900/1100, loss: 0.4456621110439301, latency(ms): 98.3203071355819702 | 2022-04-14 01:43:35.478
[rank:0] iter: 1000/1100, loss: 0.4453308880329132, latency(ms): 98.7217677757143974 | 2022-04-14 01:43:45.351
[rank:0] iter: 1100/1100, loss: 0.4450382590293884, latency(ms): 97.9956986755132675 | 2022-04-14 01:43:55.150