[ET-VK][Ops] quantization op shaders and impl

[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 the quantize_per_tensor and quantize_per_token logic shaders and impl which are linked with the testing framework.

NOTE: Currently the only input types supported are half (fp16) and float (fp32). The only output types supported are byte (uint8), char (int8), short (int16), int (int32).

Differential Revision: D75959064

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/11369

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❌ 3 New Failures

As of commit 0c9c7a6 with merge base 8abd26a ():

NEW FAILURES - The following jobs have failed:

• Lint / lintrunner / linux-job (gh)
• pull / unittest / linux / linux-job (gh)
  RuntimeError: Command docker exec -t 1664c3b89953da7d6c6945be92f23cb296944e95a9943b9416095a617d6d2003 /exec failed with exit code 2
• pull / unittest-editable / linux / linux-job (gh)
  RuntimeError: Command docker exec -t 5d68d5010b4dcdfeb9604236433186b664795203616ba966ca38d4bdaa9c4c65 /exec failed with exit code 2

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This pull request was exported from Phabricator. Differential Revision: D75959064