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: 0.5252382159233093, latency(ms): 43.4548712521791458 | 2022-04-19 01:42:38.738
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/19 01:42:38.757, Tesla V100-SXM2-32GB, 470.57.02, 2 %, 1 %, 32510 MiB, 31040 MiB, 1470 MiB
[rank:0] iter: 200/1100, loss: 0.4994546473026276, latency(ms): 1.3163166493177414 | 2022-04-19 01:42:38.870
[rank:0] iter: 300/1100, loss: 0.4973853826522827, latency(ms): 1.6246972978115082 | 2022-04-19 01:42:39.032
[rank:0] iter: 400/1100, loss: 0.4923978745937347, latency(ms): 1.3188523054122925 | 2022-04-19 01:42:39.164
[rank:0] iter: 500/1100, loss: 0.4953274130821228, latency(ms): 1.6470906510949135 | 2022-04-19 01:42:39.329
[rank:0] iter: 600/1100, loss: 0.4834638237953186, latency(ms): 1.3697201386094093 | 2022-04-19 01:42:39.466
[rank:0] iter: 700/1100, loss: 0.4884809553623199, latency(ms): 1.6772710159420967 | 2022-04-19 01:42:39.634
[rank:0] iter: 800/1100, loss: 0.4866370260715485, latency(ms): 1.3181235268712044 | 2022-04-19 01:42:39.766
[rank:0] iter: 900/1100, loss: 0.4859935343265533, latency(ms): 1.7094415798783302 | 2022-04-19 01:42:39.936
[rank:0] iter: 1000/1100, loss: 0.4836234152317047, latency(ms): 1.3716172426939011 | 2022-04-19 01:42:40.074
[rank:0] iter: 1100/1100, loss: 0.4834401011466980, latency(ms): 1.6079803928732872 | 2022-04-19 01:42:40.234