  "significantly decrease extraction speed and its accuracy cannot be "
  "guaranteed."
  msgstr ""
  
  #: lib/cli/args.py:853
  msgid ""
  "The maximum number of parallel processes for performing conversion. "
  "Converting images is system RAM heavy so it is possible to run out of memory "
  "if you have a lot of processes and not enough RAM to accommodate them all. "
  "Setting this to 0 will use the maximum available. No matter what you set "
 
</s> remove #: lib/cli/args.py:840
 </s> add #: lib/cli/args.py:839 </s> remove #: lib/cli/args.py:826
 </s> add #: lib/cli/args.py:825 </s> remove #: lib/cli/args.py:813
 </s> add #: lib/cli/args.py:812 </s> remove #: lib/cli/args.py:864
 </s> add #: lib/cli/args.py:863 </s> remove #: lib/cli/args.py:1162
 </s> add #: lib/cli/args.py:1164
#: lib/cli/args.py:852
  "significantly decrease extraction speed and its accuracy cannot be "
  "guaranteed."
  msgstr ""
  
#: lib/cli/args.py:852
  msgid ""
  "The maximum number of parallel processes for performing conversion. "
  "Converting images is system RAM heavy so it is possible to run out of memory "
  "if you have a lot of processes and not enough RAM to accommodate them all. "
  "Setting this to 0 will use the maximum available. No matter what you set "
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