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: 0.5258030891418457, latency(ms): 43.7809943780303001 | 2022-05-26 01:44:18.726
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/26 01:44:18.751, Tesla V100-SXM2-32GB, 470.57.02, 15 %, 3 %, 32510 MiB, 31028 MiB, 1482 MiB
[rank:0] iter: 200/1100, loss: 0.5008504390716553, latency(ms): 1.4527904242277145 | 2022-05-26 01:44:18.871
[rank:0] iter: 300/1100, loss: 0.4969114661216736, latency(ms): 1.6073015704751015 | 2022-05-26 01:44:19.032
[rank:0] iter: 400/1100, loss: 0.4928919970989227, latency(ms): 1.4297375455498695 | 2022-05-26 01:44:19.175
[rank:0] iter: 500/1100, loss: 0.4951595366001129, latency(ms): 1.5701659023761749 | 2022-05-26 01:44:19.332
[rank:0] iter: 600/1100, loss: 0.4819344580173492, latency(ms): 1.3417108356952667 | 2022-05-26 01:44:19.466
[rank:0] iter: 700/1100, loss: 0.4872390031814575, latency(ms): 1.6110030561685562 | 2022-05-26 01:44:19.627
[rank:0] iter: 800/1100, loss: 0.4868252575397491, latency(ms): 1.3530013337731361 | 2022-05-26 01:44:19.762
[rank:0] iter: 900/1100, loss: 0.4859333038330078, latency(ms): 1.6125424578785896 | 2022-05-26 01:44:19.923
[rank:0] iter: 1000/1100, loss: 0.4840522110462189, latency(ms): 1.3599632307887077 | 2022-05-26 01:44:20.059
[rank:0] iter: 1100/1100, loss: 0.4830236434936523, latency(ms): 1.5796094387769699 | 2022-05-26 01:44:20.217