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: 0.5250747799873352, latency(ms): 44.2322527617216110 | 2022-04-08 01:40:29.392
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/08 01:40:29.411, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 31000 MiB, 1510 MiB
[rank:0] iter: 200/1100, loss: 0.5004292130470276, latency(ms): 1.6913612186908722 | 2022-04-08 01:40:29.561
[rank:0] iter: 300/1100, loss: 0.4971337616443634, latency(ms): 1.6141499578952789 | 2022-04-08 01:40:29.723
[rank:0] iter: 400/1100, loss: 0.4918805658817291, latency(ms): 1.3565345108509064 | 2022-04-08 01:40:29.859
[rank:0] iter: 500/1100, loss: 0.4954645931720734, latency(ms): 1.3399632275104523 | 2022-04-08 01:40:29.993
[rank:0] iter: 600/1100, loss: 0.4834766387939453, latency(ms): 1.6400364041328430 | 2022-04-08 01:40:30.157
[rank:0] iter: 700/1100, loss: 0.4868269264698029, latency(ms): 1.6507546603679657 | 2022-04-08 01:40:30.322
[rank:0] iter: 800/1100, loss: 0.4862470328807831, latency(ms): 1.3444568961858749 | 2022-04-08 01:40:30.456
[rank:0] iter: 900/1100, loss: 0.4859416186809540, latency(ms): 1.3488598167896271 | 2022-04-08 01:40:30.591
[rank:0] iter: 1000/1100, loss: 0.4832657575607300, latency(ms): 1.6614879295229912 | 2022-04-08 01:40:30.757
[rank:0] iter: 1100/1100, loss: 0.4830449819564819, latency(ms): 1.6786739602684975 | 2022-04-08 01:40:30.925