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: 0.5274760723114014, latency(ms): 33.2607878744602203 | 2022-05-02 01:46:13.592
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/02 01:46:13.623, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 97 %, 32510 MiB, 30676 MiB, 1834 MiB
[rank:0] iter: 200/1100, loss: 0.4994253516197205, latency(ms): 4.2937454208731651 | 2022-05-02 01:46:14.021
[rank:0] iter: 300/1100, loss: 0.4964006841182709, latency(ms): 4.0986849740147591 | 2022-05-02 01:46:14.431
[rank:0] iter: 400/1100, loss: 0.4914071261882782, latency(ms): 4.0625193715095520 | 2022-05-02 01:46:14.837
[rank:0] iter: 500/1100, loss: 0.4938854873180389, latency(ms): 4.0929675474762917 | 2022-05-02 01:46:15.246
[rank:0] iter: 600/1100, loss: 0.4824274480342865, latency(ms): 4.0679631754755974 | 2022-05-02 01:46:15.653
[rank:0] iter: 700/1100, loss: 0.4865251183509827, latency(ms): 4.1547560319304466 | 2022-05-02 01:46:16.069
[rank:0] iter: 800/1100, loss: 0.4851296246051788, latency(ms): 4.0783073380589485 | 2022-05-02 01:46:16.476
[rank:0] iter: 900/1100, loss: 0.4855248332023621, latency(ms): 4.0971121564507484 | 2022-05-02 01:46:16.886
[rank:0] iter: 1000/1100, loss: 0.4816829264163971, latency(ms): 4.0451160818338394 | 2022-05-02 01:46:17.291
[rank:0] iter: 1100/1100, loss: 0.4822558462619781, latency(ms): 4.0752649679780006 | 2022-05-02 01:46:17.698