[SS-JIA]

Original commit message:

Stack from ghstack (oldest at bottom):

• -> [ET-VK] Add int and bool tensor support for many operators #15829
• [ET-VK][ez] Migrate slice/select shaders to use BufferMetadata/TextureMetadata #15796
• [ET-VK] Add some utility compile options + improve export script #15795
• [ET-VK] Better separation of quantized vs non-quantized memory layouts #15794
• [ET-VK] Re-implement split_with_sizes #15793

Title says it all!

Adds int32 and uint8 shader variants to a bunch of operators that don't currently have variants for these dtypes, but should.

This should prevent folks from running into dtype crashes at runtime when using the Vulkan delegate.

Differential Revision:
D87082724

(cherry picked from commit a6c5921)

Summary

[PLEASE REMOVE] See CONTRIBUTING.md's Pull Requests for ExecuTorch PR guidelines.

[PLEASE REMOVE] If this PR closes an issue, please add a Fixes #<issue-id> line.

[PLEASE REMOVE] If this PR introduces a fix or feature that should be the upcoming release notes, please add a "Release notes: " label. For a list of available release notes labels, check out CONTRIBUTING.md's Pull Requests.

Test plan

[PLEASE REMOVE] How did you test this PR? Please write down any manual commands you used and note down tests that you have written if applicable.

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/15834

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❌ 3 New Failures, 4 Cancelled Jobs, 1 Unrelated Failure

As of commit cf90786 with merge base e0dda90 ():

NEW FAILURES - The following jobs have failed:

• pull / test-moshi-linux / linux-job (gh)
  RuntimeError: Command docker exec -t afb3ff71af3f310a515dd37213d5129eeafcf8ca44a0aa46102bed51d8d29b75 /exec failed with exit code 1
• pull / unittest / linux / linux-job (gh)
  backends/xnnpack/test/recipes/test_xnnpack_recipes.py::TestXnnpackRecipes::test_int8_static_quant_recipe
• pull / unittest-editable / linux / linux-job (gh)
  backends/xnnpack/test/recipes/test_xnnpack_recipes.py::TestXnnpackRecipes::test_int8_static_quant_recipe

CANCELLED JOBS - The following jobs were cancelled. Please retry:

• pull / test-llava-runner-linux / linux-job (gh)
  ##[error]The operation was canceled.
• pull / unittest / macos / macos-job (gh)
  ##[error]The operation was canceled.
• pull / unittest-editable / macos / macos-job (gh)
  ##[error]The operation was canceled.
• Test CoreML Backend / test-coreml / test-backend-macos (coreml_static_int8, operators) / macos-job (gh)
  ##[error]The operation was canceled.

FLAKY - The following job failed but was likely due to flakiness present on trunk:

• pull / unittest-arm-backend-with-no-fvp (test_pytest_models) / linux-job (gh) (detected as infra flaky with no log or failing log classifier)

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

[Copilot]

Pull Request Overview

This PR adds int32 and uint8 (boolean) tensor dtype support to multiple Vulkan shader operators to prevent runtime dtype crashes when using the Vulkan delegate in ExecuTorch.

• Adds int32 and/or uint8 dtype variants to 11 different shader operator configurations
• Removes debug/test code from the concat_texture.glsl shader
• Enhances dtype coverage across operators for better runtime compatibility

Reviewed Changes

Copilot reviewed 12 out of 12 changed files in this pull request and generated 2 comments.

Show a summary per file

File	Description
repeat_interleave.yaml	Adds int32 and uint8 dtype support
repeat_channel.yaml	Adds int32 and uint8 dtype support
pad_height_width.yaml	Adds int32 and uint8 dtype support
pad_channel.yaml	Adds int32 and uint8 dtype support
index_select_channel.yaml	Adds uint8 dtype support
index_select.yaml	Adds uint8 dtype support
full.yaml	Adds uint8 dtype support
expand_buffer.yaml	Adds uint8 dtype support
concat_texture.yaml	Adds int32 dtype support only
concat_texture.glsl	Removes unused debug/test variables
concat_buffer.yaml	Adds int32 dtype support only
clone.yaml	Adds int32 and uint8 dtype support

---

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[Copilot]

The concat_texture operator only adds int32 support but not uint8, while most other operators in this PR (e.g., repeat_interleave, repeat_channel, pad_height_width, pad_channel, clone) add both int32 and uint8 support. The GLSL shader code for concat operations appears to be generic and should support uint8. Consider adding uint8 support for consistency.

Suggested change

	- VALUE: int32
	- VALUE: int32
	- VALUE: uint8

[Copilot]

Similar to concat_texture.yaml, this operator only adds int32 support but not uint8. For consistency with other operators in this PR that add both dtypes, consider adding uint8 support here as well.

Suggested change

	- VALUE: int32
	- VALUE: int32
	- VALUE: uint8