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: 0.5049121975898743, latency(ms): 162.7735246345400810 | 2022-05-21 02:05:34.911
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/21 02:05:34.955, Tesla V100-SXM2-32GB, 470.57.02, 33 %, 14 %, 32510 MiB, 28954 MiB, 3556 MiB
[rank:0] iter: 200/1100, loss: 0.4704945683479309, latency(ms): 125.8878539130091667 | 2022-05-21 02:05:47.500
[rank:0] iter: 300/1100, loss: 0.4636496603488922, latency(ms): 122.3954905942082405 | 2022-05-21 02:05:59.739
[rank:0] iter: 400/1100, loss: 0.4602968096733093, latency(ms): 126.3442702963948250 | 2022-05-21 02:06:12.374
[rank:0] iter: 500/1100, loss: 0.4574311375617981, latency(ms): 132.3831672966480255 | 2022-05-21 02:06:25.612
[rank:0] iter: 600/1100, loss: 0.4523466527462006, latency(ms): 131.4110094308853149 | 2022-05-21 02:06:38.753
[rank:0] iter: 700/1100, loss: 0.4468187987804413, latency(ms): 131.0257723927497864 | 2022-05-21 02:06:51.856
[rank:0] iter: 800/1100, loss: 0.4476111233234406, latency(ms): 130.5865553766489029 | 2022-05-21 02:07:04.914
[rank:0] iter: 900/1100, loss: 0.4468542337417603, latency(ms): 130.6625948473811150 | 2022-05-21 02:07:17.981
[rank:0] iter: 1000/1100, loss: 0.4463604986667633, latency(ms): 133.3398623019456863 | 2022-05-21 02:07:31.315
[rank:0] iter: 1100/1100, loss: 0.4465045928955078, latency(ms): 132.5761798396706581 | 2022-05-21 02:07:44.572