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 ............................................. 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: 0.5027148127555847, latency(ms): 348.8218598812818527 | 2022-05-26 01:52:42.862
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/26 01:52:42.897, Tesla V100-SXM2-32GB, 470.57.02, 46 %, 17 %, 32510 MiB, 27080 MiB, 5430 MiB
[rank:0] iter: 200/1100, loss: 0.4693696200847626, latency(ms): 301.0384118929505348 | 2022-05-26 01:53:12.965
[rank:0] iter: 300/1100, loss: 0.4602361321449280, latency(ms): 303.8538398593664169 | 2022-05-26 01:53:43.351
[rank:0] iter: 400/1100, loss: 0.4521268606185913, latency(ms): 301.0858403518795967 | 2022-05-26 01:54:13.459
[rank:0] iter: 500/1100, loss: 0.4508573114871979, latency(ms): 303.9722620695829391 | 2022-05-26 01:54:43.857
[rank:0] iter: 600/1100, loss: 0.4457972645759583, latency(ms): 303.9969274401664734 | 2022-05-26 01:55:14.256
[rank:0] iter: 700/1100, loss: 0.4400729238986969, latency(ms): 302.2289044782519341 | 2022-05-26 01:55:44.479
[rank:0] iter: 800/1100, loss: 0.4415253102779388, latency(ms): 305.7021302357316017 | 2022-05-26 01:56:15.049
[rank:0] iter: 900/1100, loss: 0.4334835708141327, latency(ms): 305.4386003315448761 | 2022-05-26 01:56:45.593
[rank:0] iter: 1000/1100, loss: 0.4305851757526398, latency(ms): 309.9801412597298622 | 2022-05-26 01:57:16.591
[rank:0] iter: 1100/1100, loss: 0.4325774312019348, latency(ms): 311.7514995113015175 | 2022-05-26 01:57:47.766