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: 0.4973881542682648, latency(ms): 144.0513916686177254 | 2022-04-18 01:57:53.047
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/18 01:57:53.075, Tesla V100-SXM2-32GB, 470.57.02, 54 %, 21 %, 32510 MiB, 29410 MiB, 3100 MiB
[rank:0] iter: 200/1100, loss: 0.4675820171833038, latency(ms): 95.9598802402615547 | 2022-04-18 01:58:02.643
[rank:0] iter: 300/1100, loss: 0.4620287418365479, latency(ms): 91.0539117828011513 | 2022-04-18 01:58:11.749
[rank:0] iter: 400/1100, loss: 0.4593535363674164, latency(ms): 88.9797909930348396 | 2022-04-18 01:58:20.647
[rank:0] iter: 500/1100, loss: 0.4564423859119415, latency(ms): 93.0214131996035576 | 2022-04-18 01:58:29.949
[rank:0] iter: 600/1100, loss: 0.4526270031929016, latency(ms): 91.0040837898850441 | 2022-04-18 01:58:39.049
[rank:0] iter: 700/1100, loss: 0.4468374252319336, latency(ms): 91.0405216738581657 | 2022-04-18 01:58:48.153
[rank:0] iter: 800/1100, loss: 0.4464345574378967, latency(ms): 92.8947747126221657 | 2022-04-18 01:58:57.443
[rank:0] iter: 900/1100, loss: 0.4456601738929749, latency(ms): 92.3039970546960831 | 2022-04-18 01:59:06.673
[rank:0] iter: 1000/1100, loss: 0.4452199935913086, latency(ms): 91.7691343650221825 | 2022-04-18 01:59:15.850
[rank:0] iter: 1100/1100, loss: 0.4450362324714661, latency(ms): 93.9400248974561691 | 2022-04-18 01:59:25.244