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 ...................................... 512
  batch_size_per_proc ............................. 512
  data_dir ........................................ /dataset/f9f659c5/wdl_ofrecord
  data_part_name_suffix_length .................... 5
  data_part_num ................................... 256
  dataset_format .................................. ofrecord
  ddp ............................................. True
  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 .................................. eager
  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: 0.5282860994338989, latency(ms): 43.0492466315627098 | 2022-04-15 01:47:54.422
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/15 01:47:54.460, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 97 %, 32510 MiB, 30682 MiB, 1828 MiB
[rank:0] iter: 200/1100, loss: 0.5004281401634216, latency(ms): 4.3807566910982132 | 2022-04-15 01:47:54.860
[rank:0] iter: 300/1100, loss: 0.4958249926567078, latency(ms): 4.0742605179548264 | 2022-04-15 01:47:55.268
[rank:0] iter: 400/1100, loss: 0.4923667609691620, latency(ms): 4.0502830222249031 | 2022-04-15 01:47:55.673
[rank:0] iter: 500/1100, loss: 0.4941933751106262, latency(ms): 4.1167066991329193 | 2022-04-15 01:47:56.084
[rank:0] iter: 600/1100, loss: 0.4823590517044067, latency(ms): 4.1009197756648064 | 2022-04-15 01:47:56.495
[rank:0] iter: 700/1100, loss: 0.4850470721721649, latency(ms): 4.1822874546051025 | 2022-04-15 01:47:56.913
[rank:0] iter: 800/1100, loss: 0.4852186143398285, latency(ms): 4.0847631916403770 | 2022-04-15 01:47:57.321
[rank:0] iter: 900/1100, loss: 0.4851708710193634, latency(ms): 4.0877294540405273 | 2022-04-15 01:47:57.730
[rank:0] iter: 1000/1100, loss: 0.4824859499931335, latency(ms): 4.1850211843848228 | 2022-04-15 01:47:58.149
[rank:0] iter: 1100/1100, loss: 0.4828497171401978, latency(ms): 3.9981760084629059 | 2022-04-15 01:47:58.548