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: 0.5254963040351868, latency(ms): 43.2629446312785149 | 2022-04-12 17:08:45.803
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/12 17:08:45.839, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 97 %, 32510 MiB, 30746 MiB, 1764 MiB
[rank:0] iter: 200/1100, loss: 0.4992022812366486, latency(ms): 4.3219761922955513 | 2022-04-12 17:08:46.236
[rank:0] iter: 300/1100, loss: 0.4960750341415405, latency(ms): 4.0495686978101730 | 2022-04-12 17:08:46.641
[rank:0] iter: 400/1100, loss: 0.4912613928318024, latency(ms): 4.0597921609878540 | 2022-04-12 17:08:47.047
[rank:0] iter: 500/1100, loss: 0.4936385750770569, latency(ms): 4.1147464886307716 | 2022-04-12 17:08:47.458
[rank:0] iter: 600/1100, loss: 0.4809637963771820, latency(ms): 4.0738322213292122 | 2022-04-12 17:08:47.865
[rank:0] iter: 700/1100, loss: 0.4863460659980774, latency(ms): 4.0911425650119781 | 2022-04-12 17:08:48.275
[rank:0] iter: 800/1100, loss: 0.4847992360591888, latency(ms): 4.2243842035531998 | 2022-04-12 17:08:48.697
[rank:0] iter: 900/1100, loss: 0.4848004579544067, latency(ms): 4.1243560612201691 | 2022-04-12 17:08:49.109
[rank:0] iter: 1000/1100, loss: 0.4824208915233612, latency(ms): 3.9937520399689674 | 2022-04-12 17:08:49.509
[rank:0] iter: 1100/1100, loss: 0.4829112887382507, latency(ms): 4.0822305530309677 | 2022-04-12 17:08:49.917