  msgstr ""
  
  #: plugins/train/_config.py:299
  msgid ""
  "NVIDIA GPUs can run operations in float16 faster than in "
  "float32. Mixed precision allows you to use a mix of float16 with float32, to "
  "get the performance benefits from float16 and the numeric stability benefits "
  "from float32.\n"
  "\n"
  "This is untested on DirectML backend, but will run on most Nvidia models. it "
  "will only speed up training on more recent GPUs. Those with compute "
  "capability 7.0 or higher will see the greatest performance benefit from "
  "mixed precision because they have Tensor Cores. Older GPUs offer no math "
 
</s> remove #: plugins/train/_config.py:299
 </s> add #: plugins/train/_config.py:324 </s> remove "Enable the Tensorflow GPU 'allow_growth' configuration "
"option. This option prevents Tensorflow from allocating all of the GPU VRAM "
"at launch but can lead to higher VRAM fragmentation and slower performance. "
"Should only be enabled if you are receiving errors regarding 'cuDNN fails to "
"initialize' when commencing training."
 </s> add "Enable the Tensorflow GPU 'allow_growth' configuration option. This option "
"prevents Tensorflow from allocating all of the GPU VRAM at launch but can "
"lead to higher VRAM fragmentation and slower performance. Should only be "
"enabled if you are receiving errors regarding 'cuDNN fails to initialize' "
"when commencing training." </s> remove #: plugins/train/_config.py:316
 </s> add #: plugins/train/_config.py:341 </s> remove #: plugins/train/_config.py:531
 </s> add #: plugins/train/_config.py:556 </s> remove #: plugins/train/_config.py:286
 </s> add #: plugins/train/_config.py:311
"NVIDIA GPUs can run operations in float16 faster than in float32. Mixed "
"precision allows you to use a mix of float16 with float32, to get the "
"performance benefits from float16 and the numeric stability benefits from "
"float32.\n"
  msgstr ""
  
  #: plugins/train/_config.py:299
  msgid ""
"NVIDIA GPUs can run operations in float16 faster than in float32. Mixed "
"precision allows you to use a mix of float16 with float32, to get the "
"performance benefits from float16 and the numeric stability benefits from "
"float32.\n"
"NVIDIA GPUs can run operations in float16 faster than in float32. Mixed "
"precision allows you to use a mix of float16 with float32, to get the "
"performance benefits from float16 and the numeric stability benefits from "
"float32.\n"
"NVIDIA GPUs can run operations in float16 faster than in float32. Mixed "
"precision allows you to use a mix of float16 with float32, to get the "
"performance benefits from float16 and the numeric stability benefits from "
"float32.\n"
"NVIDIA GPUs can run operations in float16 faster than in float32. Mixed "
"precision allows you to use a mix of float16 with float32, to get the "
"performance benefits from float16 and the numeric stability benefits from "
"float32.\n"
  "\n"
  "This is untested on DirectML backend, but will run on most Nvidia models. it "
  "will only speed up training on more recent GPUs. Those with compute "
  "capability 7.0 or higher will see the greatest performance benefit from "
  "mixed precision because they have Tensor Cores. Older GPUs offer no math "
keep keep keep keep replace replace replace replace keep keep keep keep keep
 Rebase code (#1326)

* Remove tensorflow_probability requirement

* setup.py - fix progress bars

* requirements.txt: Remove pre python 3.9 packages

* update apple requirements.txt

* update INSTALL.md

* Remove python<3.9 code

* setup.py - fix Windows Installer

* typing: python3.9 compliant

* Update pytest and readthedocs python versions

* typing fixes

* Python Version updates
  - Reduce max version to 3.10
  - Default to 3.10 in installers
  - Remove incompatible 3.11 tests

* Update dependencies

* Downgrade imageio dep for Windows

* typing: merge optional unions and fixes

* Updates
  - min python version 3.10
  - typing to python 3.10 spec
  - remove pre-tf2.10 code
  - Add conda tests

* train: re-enable optimizer saving

* Update dockerfiles

* Update setup.py
  - Apple Conda deps to setup.py
  - Better Cuda + dependency handling

* bugfix: Patch logging to prevent Autograph errors

* Update dockerfiles

* Setup.py - Setup.py - stdout to utf-8

* Add more OSes to github Actions

* suppress mac-os end to end test 
locales/plugins.train._config.pot