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 ............................................. 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: 0.5248357653617859, latency(ms): 45.5739665031433105 | 2022-05-13 01:44:53.860
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/13 01:44:53.876, Tesla V100-SXM2-32GB, 470.57.02, 28 %, 5 %, 32510 MiB, 31034 MiB, 1476 MiB
[rank:0] iter: 200/1100, loss: 0.5006130337715149, latency(ms): 1.7428687214851379 | 2022-05-13 01:44:54.035
[rank:0] iter: 300/1100, loss: 0.4969899654388428, latency(ms): 1.2896537408232689 | 2022-05-13 01:44:54.164
[rank:0] iter: 400/1100, loss: 0.4928690195083618, latency(ms): 1.6056042164564133 | 2022-05-13 01:44:54.324
[rank:0] iter: 500/1100, loss: 0.4948936104774475, latency(ms): 1.3111768662929535 | 2022-05-13 01:44:54.455
[rank:0] iter: 600/1100, loss: 0.4840300083160400, latency(ms): 1.2741780653595924 | 2022-05-13 01:44:54.583
[rank:0] iter: 700/1100, loss: 0.4865797460079193, latency(ms): 1.6372615471482277 | 2022-05-13 01:44:54.746
[rank:0] iter: 800/1100, loss: 0.4858012795448303, latency(ms): 1.3503696396946907 | 2022-05-13 01:44:54.881
[rank:0] iter: 900/1100, loss: 0.4868963658809662, latency(ms): 1.5371513739228249 | 2022-05-13 01:44:55.035
[rank:0] iter: 1000/1100, loss: 0.4828742742538452, latency(ms): 1.3445788621902466 | 2022-05-13 01:44:55.170
[rank:0] iter: 1100/1100, loss: 0.4835199117660522, latency(ms): 1.5338121727108955 | 2022-05-13 01:44:55.323