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 ............................................. 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: 0.5055441260337830, latency(ms): 161.9576868787407875 | 2022-04-12 01:47:34.790
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/12 01:47:34.819, Tesla V100-SXM2-32GB, 470.57.02, 33 %, 14 %, 32510 MiB, 29030 MiB, 3480 MiB
[rank:0] iter: 200/1100, loss: 0.4721841812133789, latency(ms): 115.7729855552315712 | 2022-04-12 01:47:46.367
[rank:0] iter: 300/1100, loss: 0.4640697538852692, latency(ms): 115.7688879966735840 | 2022-04-12 01:47:57.944
[rank:0] iter: 400/1100, loss: 0.4607817530632019, latency(ms): 115.1845087110996246 | 2022-04-12 01:48:09.463
[rank:0] iter: 500/1100, loss: 0.4577125608921051, latency(ms): 118.5426487773656845 | 2022-04-12 01:48:21.317
[rank:0] iter: 600/1100, loss: 0.4527868926525116, latency(ms): 115.8123914152383804 | 2022-04-12 01:48:32.898
[rank:0] iter: 700/1100, loss: 0.4472742378711700, latency(ms): 117.9559170454740524 | 2022-04-12 01:48:44.694
[rank:0] iter: 800/1100, loss: 0.4481333792209625, latency(ms): 121.2761126086115837 | 2022-04-12 01:48:56.821
[rank:0] iter: 900/1100, loss: 0.4472265243530273, latency(ms): 122.1179011091589928 | 2022-04-12 01:49:09.033
[rank:0] iter: 1000/1100, loss: 0.4467619061470032, latency(ms): 124.8383279517292976 | 2022-04-12 01:49:21.517
[rank:0] iter: 1100/1100, loss: 0.4468161761760712, latency(ms): 124.0613257512450218 | 2022-04-12 01:49:33.923