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: 0.5287398695945740, latency(ms): 33.0084023252129555 | 2022-05-23 01:47:13.856
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/23 01:47:13.884, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 97 %, 32510 MiB, 30670 MiB, 1840 MiB
[rank:0] iter: 200/1100, loss: 0.5001069903373718, latency(ms): 4.3294307962059975 | 2022-05-23 01:47:14.289
[rank:0] iter: 300/1100, loss: 0.4958369433879852, latency(ms): 4.0948582813143730 | 2022-05-23 01:47:14.698
[rank:0] iter: 400/1100, loss: 0.4918459057807922, latency(ms): 4.1276952624320984 | 2022-05-23 01:47:15.111
[rank:0] iter: 500/1100, loss: 0.4934973120689392, latency(ms): 4.1244649142026901 | 2022-05-23 01:47:15.524
[rank:0] iter: 600/1100, loss: 0.4817048907279968, latency(ms): 4.1673263162374496 | 2022-05-23 01:47:15.940
[rank:0] iter: 700/1100, loss: 0.4857880771160126, latency(ms): 4.1344878077507019 | 2022-05-23 01:47:16.354
[rank:0] iter: 800/1100, loss: 0.4849322140216827, latency(ms): 4.1034597530961037 | 2022-05-23 01:47:16.764
[rank:0] iter: 900/1100, loss: 0.4854430258274078, latency(ms): 4.0980490297079086 | 2022-05-23 01:47:17.174
[rank:0] iter: 1000/1100, loss: 0.4823183119297028, latency(ms): 4.1529616340994835 | 2022-05-23 01:47:17.589
[rank:0] iter: 1100/1100, loss: 0.4829689860343933, latency(ms): 4.1297360882163048 | 2022-05-23 01:47:18.002