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 ...................................... 131072
  batch_size_per_proc ............................. 131072
  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: 0.4955362379550934, latency(ms): 225.0964346900582314 | 2022-05-14 01:46:57.473
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/14 01:46:57.497, Tesla V100-SXM2-32GB, 470.57.02, 51 %, 19 %, 32510 MiB, 27764 MiB, 4746 MiB
[rank:0] iter: 200/1100, loss: 0.4652401208877563, latency(ms): 173.0641748756170273 | 2022-05-14 01:47:14.780
[rank:0] iter: 300/1100, loss: 0.4584911763668060, latency(ms): 175.4796289280056953 | 2022-05-14 01:47:32.328
[rank:0] iter: 400/1100, loss: 0.4508007168769836, latency(ms): 181.3484484702348709 | 2022-05-14 01:47:50.462
[rank:0] iter: 500/1100, loss: 0.4490631222724915, latency(ms): 184.6818190813064575 | 2022-05-14 01:48:08.931
[rank:0] iter: 600/1100, loss: 0.4446211159229279, latency(ms): 161.3552015647292137 | 2022-05-14 01:48:25.066
[rank:0] iter: 700/1100, loss: 0.4382216632366180, latency(ms): 162.9760153964161873 | 2022-05-14 01:48:41.364
[rank:0] iter: 800/1100, loss: 0.4387934505939484, latency(ms): 165.9735217690467834 | 2022-05-14 01:48:57.961
[rank:0] iter: 900/1100, loss: 0.4314875304698944, latency(ms): 166.0391648858785629 | 2022-05-14 01:49:14.565
[rank:0] iter: 1000/1100, loss: 0.4273384511470795, latency(ms): 167.0094991102814674 | 2022-05-14 01:49:31.266
[rank:0] iter: 1100/1100, loss: 0.4284706115722656, latency(ms): 166.0770324245095253 | 2022-05-14 01:49:47.874