google / CFU-Playground

Want a faster ML processor? Do it yourself! -- A framework for playing with custom opcodes to accelerate TensorFlow Lite for Microcontrollers (TFLM). . . . . . Online tutorial: https://google.github.io/CFU-Playground/ For reference docs, see the link below.
http://cfu-playground.rtfd.io/
Apache License 2.0
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Add 'donut' demo from LiteX. #675

Closed tcal-x closed 2 years ago

tcal-x commented 2 years ago

It is enabled in projects skip_tflm, proj_template, and proj_template_v. It can be enabled in any project.

Signed-off-by: Tim Callahan tcal@google.com