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: 0.4946333169937134, latency(ms): 230.0291399657726288 | 2022-04-15 01:44:54.363
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/15 01:44:55.910, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 27770 MiB, 4740 MiB
[rank:0] iter: 200/1100, loss: 0.4650061726570129, latency(ms): 192.1779393777251244 | 2022-04-15 01:45:13.581
[rank:0] iter: 300/1100, loss: 0.4580307900905609, latency(ms): 163.9710501581430435 | 2022-04-15 01:45:29.978
[rank:0] iter: 400/1100, loss: 0.4502307176589966, latency(ms): 161.8096923828125000 | 2022-04-15 01:45:46.159
[rank:0] iter: 500/1100, loss: 0.4484987258911133, latency(ms): 160.9775233641266823 | 2022-04-15 01:46:02.257
[rank:0] iter: 600/1100, loss: 0.4440805912017822, latency(ms): 160.2029356732964516 | 2022-04-15 01:46:18.277
[rank:0] iter: 700/1100, loss: 0.4375044107437134, latency(ms): 163.9594332873821259 | 2022-04-15 01:46:34.673
[rank:0] iter: 800/1100, loss: 0.4382814466953278, latency(ms): 170.8143863826990128 | 2022-04-15 01:46:51.755
[rank:0] iter: 900/1100, loss: 0.4307693839073181, latency(ms): 186.2145882099866867 | 2022-04-15 01:47:10.376
[rank:0] iter: 1000/1100, loss: 0.4264950156211853, latency(ms): 178.0360768362879753 | 2022-04-15 01:47:28.180
[rank:0] iter: 1100/1100, loss: 0.4278128743171692, latency(ms): 173.9289591088891029 | 2022-04-15 01:47:45.572