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: 0.5031517148017883, latency(ms): 358.6827868595719337 | 2022-04-18 02:06:08.330
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/18 02:06:08.360, Tesla V100-SXM2-32GB, 470.57.02, 40 %, 15 %, 32510 MiB, 27092 MiB, 5418 MiB
[rank:0] iter: 200/1100, loss: 0.4712819755077362, latency(ms): 302.9296598210930824 | 2022-04-18 02:06:38.623
[rank:0] iter: 300/1100, loss: 0.4605787396430969, latency(ms): 303.1090886145830154 | 2022-04-18 02:07:08.934
[rank:0] iter: 400/1100, loss: 0.4526263177394867, latency(ms): 305.0243020057678223 | 2022-04-18 02:07:39.436
[rank:0] iter: 500/1100, loss: 0.4512682855129242, latency(ms): 302.1092705428600311 | 2022-04-18 02:08:09.647
[rank:0] iter: 600/1100, loss: 0.4462755620479584, latency(ms): 300.6948360055685043 | 2022-04-18 02:08:39.717
[rank:0] iter: 700/1100, loss: 0.4405855834484100, latency(ms): 304.2716168984770775 | 2022-04-18 02:09:10.144
[rank:0] iter: 800/1100, loss: 0.4419746100902557, latency(ms): 306.1568882688879967 | 2022-04-18 02:09:40.760
[rank:0] iter: 900/1100, loss: 0.4340665042400360, latency(ms): 304.0785062685608864 | 2022-04-18 02:10:11.168
[rank:0] iter: 1000/1100, loss: 0.4312351644039154, latency(ms): 301.8618533387780190 | 2022-04-18 02:10:41.354
[rank:0] iter: 1100/1100, loss: 0.4330422580242157, latency(ms): 302.0391729101538658 | 2022-04-18 02:11:11.558