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 ............................................. True
  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 .................................. eager
  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: 0.5270150899887085, latency(ms): 32.3716563358902931 | 2022-05-10 01:49:57.621
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/10 01:49:57.638, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 97 %, 32510 MiB, 30676 MiB, 1834 MiB
[rank:0] iter: 200/1100, loss: 0.5006747245788574, latency(ms): 4.1749052703380585 | 2022-05-10 01:49:58.038
[rank:0] iter: 300/1100, loss: 0.4958967268466949, latency(ms): 4.0484340116381645 | 2022-05-10 01:49:58.443
[rank:0] iter: 400/1100, loss: 0.4929288625717163, latency(ms): 4.0342427045106888 | 2022-05-10 01:49:58.846
[rank:0] iter: 500/1100, loss: 0.4935062527656555, latency(ms): 4.0842173993587494 | 2022-05-10 01:49:59.255
[rank:0] iter: 600/1100, loss: 0.4813999235630035, latency(ms): 4.0193408355116844 | 2022-05-10 01:49:59.657
[rank:0] iter: 700/1100, loss: 0.4859988689422607, latency(ms): 4.0082028135657310 | 2022-05-10 01:50:00.058
[rank:0] iter: 800/1100, loss: 0.4867349267005920, latency(ms): 4.0500062331557274 | 2022-05-10 01:50:00.463
[rank:0] iter: 900/1100, loss: 0.4851797819137573, latency(ms): 4.0759404376149178 | 2022-05-10 01:50:00.870
[rank:0] iter: 1000/1100, loss: 0.4821146726608276, latency(ms): 4.0895160660147667 | 2022-05-10 01:50:01.279
[rank:0] iter: 1100/1100, loss: 0.4836598336696625, latency(ms): 4.0504407882690430 | 2022-05-10 01:50:01.684