[ET-VK][testing] Improvement to operator test codegen system #11972
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Pull Request resolved: #11825 ## Changes * Introduce `permute_buffer.glsl` and `permute_texture.glsl` compute shader templates to implement the permute operator ## Motivation The existing implementation of permute produced incorrect outputs for width packed textures. Furthermore, there was no buffer implementation for the permute operator. My goal with this diff is to introduce a more flexible implementation of permute that could work for any tensor representation. ## Performance impact None expected. ghstack-source-id: 292530157 @exported-using-ghexport Differential Revision: [D76483755](https://our.internmc.facebook.com/intern/diff/D76483755/)
Pull Request resolved: #11826 ## Changes * Allow test cases to specify storage types / memory layouts for individual args * Allow test cases to specify different data generation functions for individual args ## Motivation > Allow test cases to specify storage types / memory layouts for individual args Make it possible to test args that require specific storage types for certain input/output tensors. > Allow test cases to specify different data generation functions for individual args Useful for debugging operators during development. ghstack-source-id: 292530160 @exported-using-ghexport Differential Revision: [D77038777](https://our.internmc.facebook.com/intern/diff/D77038777/)
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/11972
Note: Links to docs will display an error until the docs builds have been completed. ❌ 1 New Failure, 2 Pending, 1 Unrelated FailureAs of commit 405c96a with merge base 89bdd1d ( NEW FAILURE - The following job has failed:
FLAKY - The following job failed but was likely due to flakiness present on trunk:
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…#11972) ## Changes * Allow test cases to specify storage types / memory layouts for individual args * Allow test cases to specify different data generation functions for individual args ## Motivation > Allow test cases to specify storage types / memory layouts for individual args Make it possible to test args that require specific storage types for certain input/output tensors. > Allow test cases to specify different data generation functions for individual args Useful for debugging operators during development. Differential Revision: [D77038777](https://our.internmc.facebook.com/intern/diff/D77038777/)
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This PR was created by the merge bot to help merge the original PR into the main branch.
ghstack PR number: #11826 by @SS-JIA
^ Please use this as the source of truth for the PR details, comments, and reviews
ghstack PR base: https://github.com/pytorch/executorch/tree/gh/SS-JIA/246/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/SS-JIA/246/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/SS-JIA/245/orig
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/SS-JIA/246/orig
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