pytorch / pytorch/executorch

Add quantization documentation to vulkan docs

Open
#12,258 2 comments 0 reactions 1 assignee View on GitHub

@SS-JIA is already working on this.

Since Jul 8, 2025.

module: vulkan
Dominant language
Python
Stars
5k
Forks
1.2k
Avg merge
2d 10h
Merged PRs (30d)
581

Description

The Vulkan backend docs do not discuss how to do quantization: https://github.com/pytorch/executorch/blob/main/docs/source/backends-vulkan.md

From the backend-template, the quantization section should document how to quantize a model and go over the available quantization configs: https://github.com/pytorch/executorch/blob/main/docs/source/backend-template.md#quantization

See examples for XNNPACK and CoreML.

Once the section is filled out, add a link to the quantization overview page.

If Vulkan does not currently support quantization, feel free to close this task

cc @SS-JIA @manuelcandales @cbilgin

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Assessment

This issue has not been assessed yet.

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.