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 ............................................. 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: 0.5272114872932434, latency(ms): 38.1915609911084175 | 2022-05-14 01:44:33.881
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/14 01:44:33.901, Tesla V100-SXM2-32GB, 470.57.02, 27 %, 5 %, 32510 MiB, 31034 MiB, 1476 MiB
[rank:0] iter: 200/1100, loss: 0.5001138448715210, latency(ms): 1.6166398301720619 | 2022-05-14 01:44:34.043
[rank:0] iter: 300/1100, loss: 0.4981527030467987, latency(ms): 1.3742272928357124 | 2022-05-14 01:44:34.180
[rank:0] iter: 400/1100, loss: 0.4924110174179077, latency(ms): 1.6829970851540565 | 2022-05-14 01:44:34.349
[rank:0] iter: 500/1100, loss: 0.4955627918243408, latency(ms): 1.3602907955646515 | 2022-05-14 01:44:34.485
[rank:0] iter: 600/1100, loss: 0.4830023944377899, latency(ms): 1.7305668070912361 | 2022-05-14 01:44:34.658
[rank:0] iter: 700/1100, loss: 0.4875503182411194, latency(ms): 1.3007592037320137 | 2022-05-14 01:44:34.788
[rank:0] iter: 800/1100, loss: 0.4864547252655029, latency(ms): 1.6793740913271904 | 2022-05-14 01:44:34.956
[rank:0] iter: 900/1100, loss: 0.4861338436603546, latency(ms): 1.3285877928137779 | 2022-05-14 01:44:35.089
[rank:0] iter: 1000/1100, loss: 0.4829488992691040, latency(ms): 1.6489115729928017 | 2022-05-14 01:44:35.254
[rank:0] iter: 1100/1100, loss: 0.4845830202102661, latency(ms): 1.3330221548676491 | 2022-05-14 01:44:35.387