  "savings can enable some speedups. Generally RTX GPUs and later will offer "
  "the most benefit."
  msgstr ""
  
  #: plugins/train/_config.py:341
  msgid ""
  "If a 'NaN' is generated in the model, this means that the model has "
  "corrupted and the model is likely to start deteriorating from this point on. "
  "Enabling NaN protection will stop training immediately in the event of a "
  "NaN. The last save will not contain the NaN, so you may still be able to "
 
</s> remove #: plugins/train/_config.py:354
 </s> add #: plugins/train/_config.py:401 </s> remove #: lib/cli/args.py:1014
 </s> add #: lib/cli/args.py:1013 </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 </s> remove #: lib/cli/args.py:963
 </s> add #: lib/cli/args.py:962 </s> remove #: lib/cli/args.py:1145
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:1152 lib/cli/args.py:1161 lib/cli/args.py:1170
#: lib/cli/args.py:1179
 </s> add #: lib/cli/args.py:1154 lib/cli/args.py:1163 lib/cli/args.py:1172
#: lib/cli/args.py:1181
#: plugins/train/_config.py:388
  "savings can enable some speedups. Generally RTX GPUs and later will offer "
  "the most benefit."
  msgstr ""
  
#: plugins/train/_config.py:388
  msgid ""
  "If a 'NaN' is generated in the model, this means that the model has "
  "corrupted and the model is likely to start deteriorating from this point on. "
  "Enabling NaN protection will stop training immediately in the event of a "
  "NaN. The last save will not contain the NaN, so you may still be able to "
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/plugins.train._config.pot