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 ...................................... 512
  batch_size_per_proc ............................. 512
  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: 0.5276616811752319, latency(ms): 42.8507840260863304 | 2022-04-21 01:49:49.041
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/21 01:49:49.073, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 97 %, 32510 MiB, 30682 MiB, 1828 MiB
[rank:0] iter: 200/1100, loss: 0.5003602504730225, latency(ms): 4.3447295948863029 | 2022-04-21 01:49:49.476
[rank:0] iter: 300/1100, loss: 0.4969508051872253, latency(ms): 4.0774698555469513 | 2022-04-21 01:49:49.884
[rank:0] iter: 400/1100, loss: 0.4914562106132507, latency(ms): 4.0851240977644920 | 2022-04-21 01:49:50.292
[rank:0] iter: 500/1100, loss: 0.4943579435348511, latency(ms): 4.1299271583557129 | 2022-04-21 01:49:50.705
[rank:0] iter: 600/1100, loss: 0.4821149110794067, latency(ms): 4.1873360425233841 | 2022-04-21 01:49:51.124
[rank:0] iter: 700/1100, loss: 0.4850769042968750, latency(ms): 4.1137231513857841 | 2022-04-21 01:49:51.535
[rank:0] iter: 800/1100, loss: 0.4854829013347626, latency(ms): 4.1642805561423302 | 2022-04-21 01:49:51.952
[rank:0] iter: 900/1100, loss: 0.4848722517490387, latency(ms): 4.1000928729772568 | 2022-04-21 01:49:52.362
[rank:0] iter: 1000/1100, loss: 0.4820124506950378, latency(ms): 4.0767993032932281 | 2022-04-21 01:49:52.769
[rank:0] iter: 1100/1100, loss: 0.4836204648017883, latency(ms): 4.1475248709321022 | 2022-04-21 01:49:53.184