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: 0.4951811730861664, latency(ms): 232.2149878740310669 | 2022-04-21 01:46:53.978
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/21 01:46:53.997, Tesla V100-SXM2-32GB, 470.57.02, 52 %, 22 %, 32510 MiB, 27898 MiB, 4612 MiB
[rank:0] iter: 200/1100, loss: 0.4648809432983398, latency(ms): 180.8929945528507233 | 2022-04-21 01:47:12.067
[rank:0] iter: 300/1100, loss: 0.4580695331096649, latency(ms): 161.8839427083730698 | 2022-04-21 01:47:28.255
[rank:0] iter: 400/1100, loss: 0.4502801001071930, latency(ms): 159.1958754882216454 | 2022-04-21 01:47:44.175
[rank:0] iter: 500/1100, loss: 0.4485562145709991, latency(ms): 159.9892295151948929 | 2022-04-21 01:48:00.174
[rank:0] iter: 600/1100, loss: 0.4441606104373932, latency(ms): 160.5072834715247154 | 2022-04-21 01:48:16.224
[rank:0] iter: 700/1100, loss: 0.4375366866588593, latency(ms): 160.9998895972967148 | 2022-04-21 01:48:32.324
[rank:0] iter: 800/1100, loss: 0.4382191002368927, latency(ms): 160.3398493677377701 | 2022-04-21 01:48:48.358
[rank:0] iter: 900/1100, loss: 0.4307206869125366, latency(ms): 169.9748530611395836 | 2022-04-21 01:49:05.356
[rank:0] iter: 1000/1100, loss: 0.4264744818210602, latency(ms): 176.0365468263626099 | 2022-04-21 01:49:22.960
[rank:0] iter: 1100/1100, loss: 0.4277149438858032, latency(ms): 173.1182422861456871 | 2022-04-21 01:49:40.271