  "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:1040
  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 "
 
</s> remove #: lib/cli/args.py:1028
 </s> add #: lib/cli/args.py:1027 </s> remove #: lib/cli/args.py:1051
msgid ""
"[Deprecated - Use '-D, --distribution-strategy' instead] Use the Tensorflow "
"Mirrored Distrubution Strategy to train on multiple GPUs."
msgstr ""

#: lib/cli/args.py:1062
 </s> add #: lib/cli/args.py:1053 </s> remove #: lib/cli/args.py:1180
 </s> add #: lib/cli/args.py:1182 </s> remove #: lib/cli/args.py:942
 </s> add #: lib/cli/args.py:941 </s> remove #: lib/cli/args.py:1079 lib/cli/args.py:1089
 </s> add #: lib/cli/args.py:1068
msgid ""
"Disables TensorBoard logging. NB: Disabling logs means that you will not be "
"able to use the graph or analysis for this session in the GUI."
msgstr ""

#: lib/cli/args.py:1076
msgid ""
"Use the Learning Rate Finder to discover the optimal learning rate for "
"training. For new models, this will calculate the optimal learning rate for "
"the model. For existing models this will use the optimal learning rate that "
"was discovered when initializing the model. Setting this option will ignore "
"the manually configured learning rate (configurable in train settings)."
msgstr ""

#: lib/cli/args.py:1089 lib/cli/args.py:1099
#: lib/cli/args.py:1039
  "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:1039
  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 "
keep keep keep keep replace keep keep keep keep keep
 Learning Rate finder (#1341)

* Add LR Finder support structure

* Move trainer.Feeder to lib.training.generator

* Expose model.io

* Add lr_finder

* Update docs and locales

* Pre-PR fixups
  - Fix training graph not displaying
  - CI fixes
  - Switch lr finder progress to tqdm
  - Exit lr finder early on NaN
  - Display lr finder progress in GUI 
locales/lib.cli.args.pot