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 ............................................. False
  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 .................................. graph
  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: 0.5249168872833252, latency(ms): 36.6969592124223709 | 2022-05-02 01:40:49.761
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/02 01:40:49.781, Tesla V100-SXM2-32GB, 470.57.02, 47 %, 10 %, 32510 MiB, 31034 MiB, 1476 MiB
[rank:0] iter: 200/1100, loss: 0.4994854032993317, latency(ms): 1.6515510156750679 | 2022-05-02 01:40:49.926
[rank:0] iter: 300/1100, loss: 0.4987200796604156, latency(ms): 1.3963290303945541 | 2022-05-02 01:40:50.066
[rank:0] iter: 400/1100, loss: 0.4923402070999146, latency(ms): 1.3287962600588799 | 2022-05-02 01:40:50.199
[rank:0] iter: 500/1100, loss: 0.4951592981815338, latency(ms): 1.5285089612007141 | 2022-05-02 01:40:50.351
[rank:0] iter: 600/1100, loss: 0.4829814434051514, latency(ms): 1.4448888599872589 | 2022-05-02 01:40:50.496
[rank:0] iter: 700/1100, loss: 0.4872370660305023, latency(ms): 1.4185724034905434 | 2022-05-02 01:40:50.638
[rank:0] iter: 800/1100, loss: 0.4868011176586151, latency(ms): 1.3191462680697441 | 2022-05-02 01:40:50.770
[rank:0] iter: 900/1100, loss: 0.4861684739589691, latency(ms): 1.6940099000930786 | 2022-05-02 01:40:50.939
[rank:0] iter: 1000/1100, loss: 0.4828082025051117, latency(ms): 1.3794397190213203 | 2022-05-02 01:40:51.077
[rank:0] iter: 1100/1100, loss: 0.4831970334053040, latency(ms): 1.7052747681736946 | 2022-05-02 01:40:51.247