  #: lib/cli/args.py:952
  msgid "Batch size. This is the number of images processed through the model for each side per iteration. NB: As the model is fed 2 sides at a time, the actual number of images within the model at any one time is double the number that you set here. Larger batches require more GPU RAM."
  msgstr ""
  
  #: lib/cli/args.py:964
  msgid "Length of training in iterations. This is only really used for automation. There is no 'correct' number of iterations a model should be trained for. You should stop training when you are happy with the previews. However, if you want the model to stop automatically at a set number of iterations, you can set that value here."
  msgstr ""
  
  #: lib/cli/args.py:975
  msgid "Use the Tensorflow Mirrored Distrubution Strategy to train on multiple GPUs."
 
</s> remove #: lib/cli/args.py:952
 </s> add #: lib/cli/args.py:962 </s> remove #: lib/cli/args.py:985 lib/cli/args.py:995
 </s> add #: lib/cli/args.py:995 lib/cli/args.py:1005 </s> remove #: lib/cli/args.py:986
 </s> add #: lib/cli/args.py:996 </s> remove #: lib/cli/args.py:996
 </s> add #: lib/cli/args.py:1006 </s> remove #: lib/cli/args.py:1003 lib/cli/args.py:1014 lib/cli/args.py:1025
 </s> add #: lib/cli/args.py:1013 lib/cli/args.py:1024 lib/cli/args.py:1035
#: lib/cli/args.py:974
  #: lib/cli/args.py:952
  msgid "Batch size. This is the number of images processed through the model for each side per iteration. NB: As the model is fed 2 sides at a time, the actual number of images within the model at any one time is double the number that you set here. Larger batches require more GPU RAM."
  msgstr ""
  
#: lib/cli/args.py:974
  msgid "Length of training in iterations. This is only really used for automation. There is no 'correct' number of iterations a model should be trained for. You should stop training when you are happy with the previews. However, if you want the model to stop automatically at a set number of iterations, you can set that value here."
  msgstr ""
  
  #: lib/cli/args.py:975
  msgid "Use the Tensorflow Mirrored Distrubution Strategy to train on multiple GPUs."
keep keep keep keep replace keep keep keep keep keep
 train - Add option to output model summary and exit 
locales/lib.cli.args.pot