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 ............................................. True
  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 .................................. eager
  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: 0.5275453329086304, latency(ms): 33.7377465888857841 | 2022-05-03 01:47:55.433
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/03 01:47:55.465, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 97 %, 32510 MiB, 30676 MiB, 1834 MiB
[rank:0] iter: 200/1100, loss: 0.4988377690315247, latency(ms): 4.3189241737127304 | 2022-05-03 01:47:55.864
[rank:0] iter: 300/1100, loss: 0.4974516034126282, latency(ms): 4.1073659062385559 | 2022-05-03 01:47:56.275
[rank:0] iter: 400/1100, loss: 0.4915909469127655, latency(ms): 4.0971032530069351 | 2022-05-03 01:47:56.685
[rank:0] iter: 500/1100, loss: 0.4935059845447540, latency(ms): 4.1471219062805176 | 2022-05-03 01:47:57.100
[rank:0] iter: 600/1100, loss: 0.4818718433380127, latency(ms): 4.1256747767329216 | 2022-05-03 01:47:57.512
[rank:0] iter: 700/1100, loss: 0.4856821298599243, latency(ms): 4.0842678770422935 | 2022-05-03 01:47:57.921
[rank:0] iter: 800/1100, loss: 0.4850488305091858, latency(ms): 4.2715226486325264 | 2022-05-03 01:47:58.348
[rank:0] iter: 900/1100, loss: 0.4849345088005066, latency(ms): 4.0581946820020676 | 2022-05-03 01:47:58.753
[rank:0] iter: 1000/1100, loss: 0.4828895628452301, latency(ms): 4.0967480465769768 | 2022-05-03 01:47:59.163
[rank:0] iter: 1100/1100, loss: 0.4821217060089111, latency(ms): 4.1049387305974960 | 2022-05-03 01:47:59.574