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: 0.5237172245979309, latency(ms): 41.2637288868427277 | 2022-04-12 01:41:57.771
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/12 01:41:57.789, Tesla V100-SXM2-32GB, 470.57.02, 22 %, 4 %, 32510 MiB, 31040 MiB, 1470 MiB
[rank:0] iter: 200/1100, loss: 0.5000836253166199, latency(ms): 1.5326463431119919 | 2022-04-12 01:41:57.924
[rank:0] iter: 300/1100, loss: 0.4984997212886810, latency(ms): 1.3678898289799690 | 2022-04-12 01:41:58.061
[rank:0] iter: 400/1100, loss: 0.4919916093349457, latency(ms): 1.5880390256643295 | 2022-04-12 01:41:58.220
[rank:0] iter: 500/1100, loss: 0.4948867857456207, latency(ms): 1.3443058729171753 | 2022-04-12 01:41:58.354
[rank:0] iter: 600/1100, loss: 0.4826117753982544, latency(ms): 1.6698320955038071 | 2022-04-12 01:41:58.521
[rank:0] iter: 700/1100, loss: 0.4870301783084869, latency(ms): 1.3451481610536575 | 2022-04-12 01:41:58.656
[rank:0] iter: 800/1100, loss: 0.4859782159328461, latency(ms): 1.6307962685823441 | 2022-04-12 01:41:58.819
[rank:0] iter: 900/1100, loss: 0.4860089421272278, latency(ms): 1.3682122156023979 | 2022-04-12 01:41:58.956
[rank:0] iter: 1000/1100, loss: 0.4819483458995819, latency(ms): 1.6850156337022781 | 2022-04-12 01:41:59.124
[rank:0] iter: 1100/1100, loss: 0.4839870035648346, latency(ms): 1.3461225107312202 | 2022-04-12 01:41:59.259