[Vulkan] Dynamically quantized 8-bit convolutions
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module: vulkan
- Dominant language
- Python
- Stars
- 5k
- Forks
- 1.2k
- Avg merge
- 2d 10h
- Merged PRs (30d)
- 581
Description
Implement quantized 8-bit convolutions in Vulkan Backend
cc @manuelcandales @cbilgin
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue only identifies the Vulkan Backend and dynamically quantized 8-bit convolutions; no files, tests, or entry points are named. Start by locating the existing Vulkan convolution implementation and related quantization work, then define the required behavior and validation before attempting the feature.
Written by the indexing model from the issue text.
Assessment
- Domain
- computer-graphics, embedded-iot, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100