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 ............................................. False
  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 .................................. graph
  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: 0.4946883320808411, latency(ms): 222.9616487771272659 | 2022-04-28 01:46:21.561
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/28 01:46:21.583, Tesla V100-SXM2-32GB, 470.57.02, 65 %, 26 %, 32510 MiB, 27764 MiB, 4746 MiB
[rank:0] iter: 200/1100, loss: 0.4647016525268555, latency(ms): 180.1586612313985825 | 2022-04-28 01:46:39.577
[rank:0] iter: 300/1100, loss: 0.4579182565212250, latency(ms): 182.0570638775825500 | 2022-04-28 01:46:57.783
[rank:0] iter: 400/1100, loss: 0.4500456154346466, latency(ms): 161.0246841982007027 | 2022-04-28 01:47:13.885
[rank:0] iter: 500/1100, loss: 0.4483461081981659, latency(ms): 161.9149990752339363 | 2022-04-28 01:47:30.077
[rank:0] iter: 600/1100, loss: 0.4439766407012939, latency(ms): 157.8428856283426285 | 2022-04-28 01:47:45.861
[rank:0] iter: 700/1100, loss: 0.4374706745147705, latency(ms): 159.9965760484337807 | 2022-04-28 01:48:01.861
[rank:0] iter: 800/1100, loss: 0.4381869435310364, latency(ms): 160.1856237277388573 | 2022-04-28 01:48:17.879
[rank:0] iter: 900/1100, loss: 0.4308361411094666, latency(ms): 164.8074541985988617 | 2022-04-28 01:48:34.360
[rank:0] iter: 1000/1100, loss: 0.4265984296798706, latency(ms): 179.1871524974703789 | 2022-04-28 01:48:52.279
[rank:0] iter: 1100/1100, loss: 0.4278759658336639, latency(ms): 172.9806565865874290 | 2022-04-28 01:49:09.577