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 ............................................. 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: 0.5047175884246826, latency(ms): 154.0018298849463463 | 2022-05-08 01:46:35.249
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/08 01:46:35.268, Tesla V100-SXM2-32GB, 470.57.02, 48 %, 21 %, 32510 MiB, 28960 MiB, 3550 MiB
[rank:0] iter: 200/1100, loss: 0.4707021415233612, latency(ms): 111.2589427828788757 | 2022-05-08 01:46:46.375
[rank:0] iter: 300/1100, loss: 0.4635942578315735, latency(ms): 113.3904173597693443 | 2022-05-08 01:46:57.714
[rank:0] iter: 400/1100, loss: 0.4604072570800781, latency(ms): 113.8248531892895699 | 2022-05-08 01:47:09.096
[rank:0] iter: 500/1100, loss: 0.4575689733028412, latency(ms): 116.2295647338032722 | 2022-05-08 01:47:20.719
[rank:0] iter: 600/1100, loss: 0.4525933861732483, latency(ms): 116.2911791354417801 | 2022-05-08 01:47:32.348
[rank:0] iter: 700/1100, loss: 0.4470948874950409, latency(ms): 116.2524726986885071 | 2022-05-08 01:47:43.973
[rank:0] iter: 800/1100, loss: 0.4479276239871979, latency(ms): 117.0394702255725861 | 2022-05-08 01:47:55.677
[rank:0] iter: 900/1100, loss: 0.4471650719642639, latency(ms): 118.4129104390740395 | 2022-05-08 01:48:07.519
[rank:0] iter: 1000/1100, loss: 0.4466059207916260, latency(ms): 118.4899652376770973 | 2022-05-08 01:48:19.368
[rank:0] iter: 1100/1100, loss: 0.4467273950576782, latency(ms): 120.7133273780345917 | 2022-05-08 01:48:31.439