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: 0.5049085021018982, latency(ms): 161.2407812103629112 | 2022-04-18 02:03:18.067
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/18 02:03:19.308, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 28966 MiB, 3544 MiB
[rank:0] iter: 200/1100, loss: 0.4702014029026031, latency(ms): 123.4794271737337112 | 2022-04-18 02:03:30.415
[rank:0] iter: 300/1100, loss: 0.4635309576988220, latency(ms): 113.1293474137783051 | 2022-04-18 02:03:41.728
[rank:0] iter: 400/1100, loss: 0.4603229165077209, latency(ms): 110.2265950664877892 | 2022-04-18 02:03:52.751
[rank:0] iter: 500/1100, loss: 0.4574134051799774, latency(ms): 112.2843128070235252 | 2022-04-18 02:04:03.979
[rank:0] iter: 600/1100, loss: 0.4524700641632080, latency(ms): 115.0440938770771027 | 2022-04-18 02:04:15.484
[rank:0] iter: 700/1100, loss: 0.4468389451503754, latency(ms): 115.8756068348884583 | 2022-04-18 02:04:27.071
[rank:0] iter: 800/1100, loss: 0.4476550221443176, latency(ms): 116.6179637238383293 | 2022-04-18 02:04:38.733
[rank:0] iter: 900/1100, loss: 0.4469592571258545, latency(ms): 121.4368598535656929 | 2022-04-18 02:04:50.877
[rank:0] iter: 1000/1100, loss: 0.4464651048183441, latency(ms): 120.6944197043776512 | 2022-04-18 02:05:02.946
[rank:0] iter: 1100/1100, loss: 0.4466243088245392, latency(ms): 124.1070163622498512 | 2022-04-18 02:05:15.357