[ET-VK][Ops] quantize_per_tensor.default test setup

[ahmtox]

Stack from ghstack (oldest at bottom):

• [ET-VK][Ops] quantization op shaders and impl #11369
• -> [ET-VK][Ops] quantize_per_tensor.default test setup #11368
• [ET-VK][Ops] quantize_per_token.default test setup #11367
• [ET-VK][Ops] quantize ops skeleton test framework #11366
• [ET-VK] double, short, and uint16 dtype runtime support #11365

Creating quantize_per_tensor testing framework along with a reference implementation for testing

Differential Revision: D75959065

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/11368

• 📄 Preview Python docs built from this PR

Note: Links to docs will display an error until the docs builds have been completed.

❌ 1 New Failure

As of commit c908bc2 with merge base 8abd26a ():

NEW FAILURE - The following job has failed:

• Lint / lintrunner / linux-job (gh)

This comment was automatically generated by Dr. CI and updates every 15 minutes.

[facebook-github-bot]

This pull request was exported from Phabricator. Differential Revision: D75959065

[github-actions]

This PR needs a release notes: label

If your change should be included in the release notes (i.e. would users of this library care about this change?), please use a label starting with release notes:. This helps us keep track and include your important work in the next release notes.

To add a label, you can comment to pytorchbot, for example
@pytorchbot label "release notes: none"

For more information, see
https://github.com/pytorch/pytorch/wiki/PyTorch-AutoLabel-Bot#why-categorize-for-release-notes-and-how-does-it-work.