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 ...................................... 65536
  batch_size_per_proc ............................. 65536
  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: 0.5049059391021729, latency(ms): 164.1139036044478416 | 2022-04-14 01:48:00.764
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/14 01:48:01.718, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29030 MiB, 3480 MiB
[rank:0] iter: 200/1100, loss: 0.4710216820240021, latency(ms): 125.6396448984742165 | 2022-04-14 01:48:13.328
[rank:0] iter: 300/1100, loss: 0.4635000526905060, latency(ms): 113.5430496931076050 | 2022-04-14 01:48:24.682
[rank:0] iter: 400/1100, loss: 0.4602372646331787, latency(ms): 112.4346775561571121 | 2022-04-14 01:48:35.925
[rank:0] iter: 500/1100, loss: 0.4573275744915009, latency(ms): 115.4961600154638290 | 2022-04-14 01:48:47.475
[rank:0] iter: 600/1100, loss: 0.4522312581539154, latency(ms): 115.4007652029395103 | 2022-04-14 01:48:59.015
[rank:0] iter: 700/1100, loss: 0.4466920197010040, latency(ms): 120.1076114922761917 | 2022-04-14 01:49:11.026
[rank:0] iter: 800/1100, loss: 0.4473932981491089, latency(ms): 116.3197677209973335 | 2022-04-14 01:49:22.658
[rank:0] iter: 900/1100, loss: 0.4467669725418091, latency(ms): 119.2921094968914986 | 2022-04-14 01:49:34.587
[rank:0] iter: 1000/1100, loss: 0.4462430179119110, latency(ms): 122.9372249171137810 | 2022-04-14 01:49:46.881
[rank:0] iter: 1100/1100, loss: 0.4464177787303925, latency(ms): 124.6087518706917763 | 2022-04-14 01:49:59.342