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: 0.5052182078361511, latency(ms): 172.6561853289604187 | 2022-04-05 01:47:15.524
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/05 01:47:15.545, Tesla V100-SXM2-32GB, 470.57.02, 40 %, 18 %, 32510 MiB, 28992 MiB, 3518 MiB
[rank:0] iter: 200/1100, loss: 0.4727055728435516, latency(ms): 118.7561890110373497 | 2022-04-05 01:47:27.400
[rank:0] iter: 300/1100, loss: 0.4642285108566284, latency(ms): 120.7332476973533630 | 2022-04-05 01:47:39.473
[rank:0] iter: 400/1100, loss: 0.4609486460685730, latency(ms): 116.4053742960095406 | 2022-04-05 01:47:51.113
[rank:0] iter: 500/1100, loss: 0.4578158259391785, latency(ms): 123.0353553220629692 | 2022-04-05 01:48:03.417
[rank:0] iter: 600/1100, loss: 0.4528673589229584, latency(ms): 123.8898728042840958 | 2022-04-05 01:48:15.806
[rank:0] iter: 700/1100, loss: 0.4472727477550507, latency(ms): 119.1425317153334618 | 2022-04-05 01:48:27.720
[rank:0] iter: 800/1100, loss: 0.4480803310871124, latency(ms): 120.7204911112785339 | 2022-04-05 01:48:39.792
[rank:0] iter: 900/1100, loss: 0.4471883773803711, latency(ms): 124.2269604653120041 | 2022-04-05 01:48:52.215
[rank:0] iter: 1000/1100, loss: 0.4466927349567413, latency(ms): 126.9072877615690231 | 2022-04-05 01:49:04.906
[rank:0] iter: 1100/1100, loss: 0.4467939436435699, latency(ms): 130.9019859880208969 | 2022-04-05 01:49:17.996