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: 0.5254342555999756, latency(ms): 37.2186810523271561 | 2022-05-16 01:42:14.634
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/16 01:42:14.659, Tesla V100-SXM2-32GB, 470.57.02, 43 %, 9 %, 32510 MiB, 31034 MiB, 1476 MiB
[rank:0] iter: 200/1100, loss: 0.5005758404731750, latency(ms): 1.3471839204430580 | 2022-05-16 01:42:14.769
[rank:0] iter: 300/1100, loss: 0.4982430934906006, latency(ms): 1.6584139317274094 | 2022-05-16 01:42:14.935
[rank:0] iter: 400/1100, loss: 0.4928636550903320, latency(ms): 1.3298812136054039 | 2022-05-16 01:42:15.068
[rank:0] iter: 500/1100, loss: 0.4947065711021423, latency(ms): 1.6946499049663544 | 2022-05-16 01:42:15.237
[rank:0] iter: 600/1100, loss: 0.4832316935062408, latency(ms): 1.3368730992078781 | 2022-05-16 01:42:15.371
[rank:0] iter: 700/1100, loss: 0.4861606657505035, latency(ms): 1.7021549120545387 | 2022-05-16 01:42:15.541
[rank:0] iter: 800/1100, loss: 0.4869248867034912, latency(ms): 1.3565079495310783 | 2022-05-16 01:42:15.677
[rank:0] iter: 900/1100, loss: 0.4853857159614563, latency(ms): 1.6777659952640533 | 2022-05-16 01:42:15.845
[rank:0] iter: 1000/1100, loss: 0.4840376973152161, latency(ms): 1.3631686568260193 | 2022-05-16 01:42:15.981
[rank:0] iter: 1100/1100, loss: 0.4822119176387787, latency(ms): 1.7217016220092773 | 2022-05-16 01:42:16.153