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 ...................................... 65536
  batch_size_per_proc ............................. 65536
  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: 0.5048681497573853, latency(ms): 178.2256107404828072 | 2022-04-01 01:46:29.000
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/01 01:46:29.021, Tesla V100-SXM2-32GB, 470.57.02, 45 %, 20 %, 32510 MiB, 28992 MiB, 3518 MiB
[rank:0] iter: 200/1100, loss: 0.4734391272068024, latency(ms): 119.0276702493429184 | 2022-04-01 01:46:40.903
[rank:0] iter: 300/1100, loss: 0.4641485512256622, latency(ms): 119.2171031981706619 | 2022-04-01 01:46:52.824
[rank:0] iter: 400/1100, loss: 0.4606459736824036, latency(ms): 119.9653787165880203 | 2022-04-01 01:47:04.821
[rank:0] iter: 500/1100, loss: 0.4575767517089844, latency(ms): 120.4646842554211617 | 2022-04-01 01:47:16.867
[rank:0] iter: 600/1100, loss: 0.4525354504585266, latency(ms): 121.4307280257344246 | 2022-04-01 01:47:29.011
[rank:0] iter: 700/1100, loss: 0.4469641149044037, latency(ms): 119.9019591510295868 | 2022-04-01 01:47:41.001
[rank:0] iter: 800/1100, loss: 0.4478120505809784, latency(ms): 123.1406951323151588 | 2022-04-01 01:47:53.315
[rank:0] iter: 900/1100, loss: 0.4469980299472809, latency(ms): 125.7368631660938263 | 2022-04-01 01:48:05.888
[rank:0] iter: 1000/1100, loss: 0.4464466571807861, latency(ms): 125.5236906558275223 | 2022-04-01 01:48:18.441
[rank:0] iter: 1100/1100, loss: 0.4465557038784027, latency(ms): 126.9693911820650101 | 2022-04-01 01:48:31.138