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: 0.5277191400527954, latency(ms): 40.6673723831772804 | 2022-04-12 01:47:10.628
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/12 01:47:10.669, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 96 %, 32510 MiB, 30746 MiB, 1764 MiB
[rank:0] iter: 200/1100, loss: 0.4998060464859009, latency(ms): 4.4153558835387230 | 2022-04-12 01:47:11.070
[rank:0] iter: 300/1100, loss: 0.4962413907051086, latency(ms): 4.0415688604116440 | 2022-04-12 01:47:11.474
[rank:0] iter: 400/1100, loss: 0.4919607639312744, latency(ms): 4.1003220155835152 | 2022-04-12 01:47:11.884
[rank:0] iter: 500/1100, loss: 0.4939419925212860, latency(ms): 4.0853537619113922 | 2022-04-12 01:47:12.293
[rank:0] iter: 600/1100, loss: 0.4828334450721741, latency(ms): 4.0367840975522995 | 2022-04-12 01:47:12.696
[rank:0] iter: 700/1100, loss: 0.4865814149379730, latency(ms): 4.1096499189734459 | 2022-04-12 01:47:13.107
[rank:0] iter: 800/1100, loss: 0.4857459962368011, latency(ms): 4.2061239853501320 | 2022-04-12 01:47:13.528
[rank:0] iter: 900/1100, loss: 0.4854618906974792, latency(ms): 4.0159111097455025 | 2022-04-12 01:47:13.929
[rank:0] iter: 1000/1100, loss: 0.4820459485054016, latency(ms): 4.1052892059087753 | 2022-04-12 01:47:14.340
[rank:0] iter: 1100/1100, loss: 0.4827478528022766, latency(ms): 4.0545783191919327 | 2022-04-12 01:47:14.745