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: 0.5036157369613647, latency(ms): 344.2104263231158257 | 2022-05-12 01:53:57.846
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/12 01:53:57.869, Tesla V100-SXM2-32GB, 470.57.02, 44 %, 17 %, 32510 MiB, 27086 MiB, 5424 MiB
[rank:0] iter: 200/1100, loss: 0.4721315503120422, latency(ms): 300.0447819009423256 | 2022-05-12 01:54:27.850
[rank:0] iter: 300/1100, loss: 0.4613161087036133, latency(ms): 301.9235100224614143 | 2022-05-12 01:54:58.043
[rank:0] iter: 400/1100, loss: 0.4533208906650543, latency(ms): 302.0822418481111526 | 2022-05-12 01:55:28.251
[rank:0] iter: 500/1100, loss: 0.4517430961132050, latency(ms): 304.8180044069886208 | 2022-05-12 01:55:58.733
[rank:0] iter: 600/1100, loss: 0.4465611577033997, latency(ms): 301.1414092406630516 | 2022-05-12 01:56:28.847
[rank:0] iter: 700/1100, loss: 0.4409098029136658, latency(ms): 299.8561482876539230 | 2022-05-12 01:56:58.832
[rank:0] iter: 800/1100, loss: 0.4422777891159058, latency(ms): 303.2230394706130028 | 2022-05-12 01:57:29.155
[rank:0] iter: 900/1100, loss: 0.4343028962612152, latency(ms): 300.1016458496451378 | 2022-05-12 01:57:59.165
[rank:0] iter: 1000/1100, loss: 0.4314261376857758, latency(ms): 300.8851050212979317 | 2022-05-12 01:58:29.253
[rank:0] iter: 1100/1100, loss: 0.4333117604255676, latency(ms): 302.1231993287801743 | 2022-05-12 01:58:59.466