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: 0.4945777952671051, latency(ms): 217.6340739801526070 | 2022-05-08 01:43:16.784
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/08 01:43:16.804, Tesla V100-SXM2-32GB, 470.57.02, 61 %, 26 %, 32510 MiB, 27764 MiB, 4746 MiB
[rank:0] iter: 200/1100, loss: 0.4647347629070282, latency(ms): 172.4945560842752457 | 2022-05-08 01:43:34.033
[rank:0] iter: 300/1100, loss: 0.4578492343425751, latency(ms): 175.4815544560551643 | 2022-05-08 01:43:51.581
[rank:0] iter: 400/1100, loss: 0.4500338733196259, latency(ms): 177.0141086354851723 | 2022-05-08 01:44:09.283
[rank:0] iter: 500/1100, loss: 0.4483554363250732, latency(ms): 158.8470362126827240 | 2022-05-08 01:44:25.167
[rank:0] iter: 600/1100, loss: 0.4439437985420227, latency(ms): 158.2224033400416374 | 2022-05-08 01:44:40.990
[rank:0] iter: 700/1100, loss: 0.4374681115150452, latency(ms): 162.7493688836693764 | 2022-05-08 01:44:57.264
[rank:0] iter: 800/1100, loss: 0.4381302297115326, latency(ms): 163.1844642013311386 | 2022-05-08 01:45:13.583
[rank:0] iter: 900/1100, loss: 0.4307053387165070, latency(ms): 161.8285882472991943 | 2022-05-08 01:45:29.766
[rank:0] iter: 1000/1100, loss: 0.4265570044517517, latency(ms): 161.9914130866527557 | 2022-05-08 01:45:45.965
[rank:0] iter: 1100/1100, loss: 0.4276662170886993, latency(ms): 179.9940031021833420 | 2022-05-08 01:46:03.964