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: 0.5280739068984985, latency(ms): 32.0905618742108345 | 2022-05-12 01:50:56.770
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/12 01:50:56.797, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 96 %, 32510 MiB, 30676 MiB, 1834 MiB
[rank:0] iter: 200/1100, loss: 0.4992482662200928, latency(ms): 4.2585039511322975 | 2022-05-12 01:50:57.196
[rank:0] iter: 300/1100, loss: 0.4969172179698944, latency(ms): 4.0346605330705643 | 2022-05-12 01:50:57.599
[rank:0] iter: 400/1100, loss: 0.4919183254241943, latency(ms): 4.0633926168084145 | 2022-05-12 01:50:58.006
[rank:0] iter: 500/1100, loss: 0.4932520687580109, latency(ms): 4.0569025650620461 | 2022-05-12 01:50:58.411
[rank:0] iter: 600/1100, loss: 0.4823370873928070, latency(ms): 4.0529556572437286 | 2022-05-12 01:50:58.817
[rank:0] iter: 700/1100, loss: 0.4861390590667725, latency(ms): 4.1161281615495682 | 2022-05-12 01:50:59.228
[rank:0] iter: 800/1100, loss: 0.4860439300537109, latency(ms): 4.1372101381421089 | 2022-05-12 01:50:59.642
[rank:0] iter: 900/1100, loss: 0.4850866198539734, latency(ms): 4.0388621762394905 | 2022-05-12 01:51:00.046
[rank:0] iter: 1000/1100, loss: 0.4823514223098755, latency(ms): 4.0615117549896240 | 2022-05-12 01:51:00.452
[rank:0] iter: 1100/1100, loss: 0.4830737411975861, latency(ms): 4.1576153039932251 | 2022-05-12 01:51:00.868