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 ...................................... 131072
  batch_size_per_proc ............................. 131072
  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: 0.5036590099334717, latency(ms): 345.3837797045707703 | 2022-05-16 01:50:27.476
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/16 01:50:27.509, Tesla V100-SXM2-32GB, 470.57.02, 40 %, 16 %, 32510 MiB, 27086 MiB, 5424 MiB
[rank:0] iter: 200/1100, loss: 0.4714802801609039, latency(ms): 302.6815134659409523 | 2022-05-16 01:50:57.744
[rank:0] iter: 300/1100, loss: 0.4610176086425781, latency(ms): 300.2747233957052231 | 2022-05-16 01:51:27.771
[rank:0] iter: 400/1100, loss: 0.4530789554119110, latency(ms): 300.7198264449834824 | 2022-05-16 01:51:57.843
[rank:0] iter: 500/1100, loss: 0.4516266286373138, latency(ms): 300.0627919286489487 | 2022-05-16 01:52:27.850
[rank:0] iter: 600/1100, loss: 0.4464444220066071, latency(ms): 300.0122053548693657 | 2022-05-16 01:52:57.851
[rank:0] iter: 700/1100, loss: 0.4408645331859589, latency(ms): 300.3155466541647911 | 2022-05-16 01:53:27.882
[rank:0] iter: 800/1100, loss: 0.4421669840812683, latency(ms): 299.8393489420413971 | 2022-05-16 01:53:57.866
[rank:0] iter: 900/1100, loss: 0.4343700110912323, latency(ms): 301.9418276101350784 | 2022-05-16 01:54:28.061
[rank:0] iter: 1000/1100, loss: 0.4313431084156036, latency(ms): 305.0705816224217415 | 2022-05-16 01:54:58.568
[rank:0] iter: 1100/1100, loss: 0.4333042800426483, latency(ms): 301.0865459591150284 | 2022-05-16 01:55:28.676