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: 0.4984297156333923, latency(ms): 132.8428248316049576 | 2022-05-11 01:44:34.247
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/11 01:44:34.268, Tesla V100-SXM2-32GB, 470.57.02, 32 %, 12 %, 32510 MiB, 29404 MiB, 3106 MiB
[rank:0] iter: 200/1100, loss: 0.4682330191135406, latency(ms): 94.8971224203705788 | 2022-05-11 01:44:43.737
[rank:0] iter: 300/1100, loss: 0.4623615741729736, latency(ms): 95.0052063539624214 | 2022-05-11 01:44:53.238
[rank:0] iter: 400/1100, loss: 0.4595759510993958, latency(ms): 93.1194416433572769 | 2022-05-11 01:45:02.550
[rank:0] iter: 500/1100, loss: 0.4567540884017944, latency(ms): 94.9849762395024300 | 2022-05-11 01:45:12.048
[rank:0] iter: 600/1100, loss: 0.4527380466461182, latency(ms): 96.0150951892137527 | 2022-05-11 01:45:21.650
[rank:0] iter: 700/1100, loss: 0.4469945132732391, latency(ms): 92.0349957421422005 | 2022-05-11 01:45:30.853
[rank:0] iter: 800/1100, loss: 0.4467000067234039, latency(ms): 91.9786312431097031 | 2022-05-11 01:45:40.051
[rank:0] iter: 900/1100, loss: 0.4458804428577423, latency(ms): 91.9849563762545586 | 2022-05-11 01:45:49.249
[rank:0] iter: 1000/1100, loss: 0.4454056024551392, latency(ms): 95.9609236195683479 | 2022-05-11 01:45:58.846
[rank:0] iter: 1100/1100, loss: 0.4451526403427124, latency(ms): 93.9108539745211601 | 2022-05-11 01:46:08.237