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: 0.4976743757724762, latency(ms): 136.9436014816164970 | 2022-04-13 01:43:07.452
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/13 01:43:07.472, Tesla V100-SXM2-32GB, 470.57.02, 38 %, 15 %, 32510 MiB, 29410 MiB, 3100 MiB
[rank:0] iter: 200/1100, loss: 0.4677881896495819, latency(ms): 91.9622282311320305 | 2022-04-13 01:43:16.649
[rank:0] iter: 300/1100, loss: 0.4620050191879272, latency(ms): 90.0209361314773560 | 2022-04-13 01:43:25.651
[rank:0] iter: 400/1100, loss: 0.4591827392578125, latency(ms): 91.9719265401363373 | 2022-04-13 01:43:34.848
[rank:0] iter: 500/1100, loss: 0.4563739895820618, latency(ms): 89.9904036894440651 | 2022-04-13 01:43:43.847
[rank:0] iter: 600/1100, loss: 0.4524575173854828, latency(ms): 93.0088507756590843 | 2022-04-13 01:43:53.148
[rank:0] iter: 700/1100, loss: 0.4466981589794159, latency(ms): 92.2460097074508667 | 2022-04-13 01:44:02.372
[rank:0] iter: 800/1100, loss: 0.4463403820991516, latency(ms): 93.7188497930765152 | 2022-04-13 01:44:11.744
[rank:0] iter: 900/1100, loss: 0.4455623924732208, latency(ms): 92.0134901255369186 | 2022-04-13 01:44:20.946
[rank:0] iter: 1000/1100, loss: 0.4450971484184265, latency(ms): 91.9199004769325256 | 2022-04-13 01:44:30.138
[rank:0] iter: 1100/1100, loss: 0.4448587298393250, latency(ms): 93.1258103996515274 | 2022-04-13 01:44:39.450