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: 0.5281534790992737, latency(ms): 34.7707426548004150 | 2022-05-22 02:03:43.435
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/22 02:03:43.469, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 96 %, 32510 MiB, 30670 MiB, 1840 MiB
[rank:0] iter: 200/1100, loss: 0.5009909868240356, latency(ms): 4.3910010904073715 | 2022-05-22 02:03:43.875
[rank:0] iter: 300/1100, loss: 0.4969528615474701, latency(ms): 4.1025169566273689 | 2022-05-22 02:03:44.285
[rank:0] iter: 400/1100, loss: 0.4918101429939270, latency(ms): 4.0864847972989082 | 2022-05-22 02:03:44.693
[rank:0] iter: 500/1100, loss: 0.4935993552207947, latency(ms): 4.0939175710082054 | 2022-05-22 02:03:45.103
[rank:0] iter: 600/1100, loss: 0.4825804233551025, latency(ms): 4.1025735065340996 | 2022-05-22 02:03:45.513
[rank:0] iter: 700/1100, loss: 0.4854950308799744, latency(ms): 4.0930144861340523 | 2022-05-22 02:03:45.922
[rank:0] iter: 800/1100, loss: 0.4854032397270203, latency(ms): 4.2020051181316376 | 2022-05-22 02:03:46.343
[rank:0] iter: 900/1100, loss: 0.4842914640903473, latency(ms): 4.1140495985746384 | 2022-05-22 02:03:46.754
[rank:0] iter: 1000/1100, loss: 0.4827561676502228, latency(ms): 4.2095903679728508 | 2022-05-22 02:03:47.175
[rank:0] iter: 1100/1100, loss: 0.4830884039402008, latency(ms): 4.1606227681040764 | 2022-05-22 02:03:47.591