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: 0.5242112278938293, latency(ms): 38.2611775398254395 | 2022-05-10 01:44:43.355
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/10 01:44:43.375, Tesla V100-SXM2-32GB, 470.57.02, 48 %, 11 %, 32510 MiB, 31032 MiB, 1478 MiB
[rank:0] iter: 200/1100, loss: 0.5000562071800232, latency(ms): 1.3394316658377647 | 2022-05-10 01:44:43.489
[rank:0] iter: 300/1100, loss: 0.4979981184005737, latency(ms): 1.6734328493475914 | 2022-05-10 01:44:43.656
[rank:0] iter: 400/1100, loss: 0.4915894269943237, latency(ms): 1.6788829863071442 | 2022-05-10 01:44:43.824
[rank:0] iter: 500/1100, loss: 0.4966054558753967, latency(ms): 1.3965766131877899 | 2022-05-10 01:44:43.964
[rank:0] iter: 600/1100, loss: 0.4829040169715881, latency(ms): 1.6417109221220016 | 2022-05-10 01:44:44.128
[rank:0] iter: 700/1100, loss: 0.4864524900913239, latency(ms): 1.3532603159546852 | 2022-05-10 01:44:44.263
[rank:0] iter: 800/1100, loss: 0.4864062964916229, latency(ms): 1.6812624037265778 | 2022-05-10 01:44:44.431
[rank:0] iter: 900/1100, loss: 0.4858855009078979, latency(ms): 1.3580011203885078 | 2022-05-10 01:44:44.567
[rank:0] iter: 1000/1100, loss: 0.4838407039642334, latency(ms): 1.7120974138379097 | 2022-05-10 01:44:44.738
[rank:0] iter: 1100/1100, loss: 0.4830198585987091, latency(ms): 1.3359519466757774 | 2022-05-10 01:44:44.872