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: 0.5039605498313904, latency(ms): 166.7971508204936981 | 2022-05-26 01:49:56.365
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/26 01:49:56.405, Tesla V100-SXM2-32GB, 470.57.02, 38 %, 17 %, 32510 MiB, 28954 MiB, 3556 MiB
[rank:0] iter: 200/1100, loss: 0.4696907103061676, latency(ms): 121.0767500847578049 | 2022-05-26 01:50:08.473
[rank:0] iter: 300/1100, loss: 0.4633214175701141, latency(ms): 123.2936877384781837 | 2022-05-26 01:50:20.802
[rank:0] iter: 400/1100, loss: 0.4601459801197052, latency(ms): 120.8830806612968445 | 2022-05-26 01:50:32.890
[rank:0] iter: 500/1100, loss: 0.4572612643241882, latency(ms): 126.9172227755188942 | 2022-05-26 01:50:45.582
[rank:0] iter: 600/1100, loss: 0.4522354006767273, latency(ms): 125.2885245904326439 | 2022-05-26 01:50:58.111
[rank:0] iter: 700/1100, loss: 0.4467847049236298, latency(ms): 129.1187448054552078 | 2022-05-26 01:51:11.023
[rank:0] iter: 800/1100, loss: 0.4474832415580750, latency(ms): 127.1135452762246132 | 2022-05-26 01:51:23.734
[rank:0] iter: 900/1100, loss: 0.4468676745891571, latency(ms): 132.7424873784184456 | 2022-05-26 01:51:37.008
[rank:0] iter: 1000/1100, loss: 0.4463512003421783, latency(ms): 134.4817240908741951 | 2022-05-26 01:51:50.457
[rank:0] iter: 1100/1100, loss: 0.4464590549468994, latency(ms): 133.8368652760982513 | 2022-05-26 01:52:03.840