[ET-VK] Enable int8 tiled compute shader to be used with buffer tensors#10415
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[ET-VK] Enable int8 tiled compute shader to be used with buffer tensors#10415
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Pull Request resolved: #10302 ## Context As title. Allow the optimized int8 tiled compute shader to be usable for buffer-backed tensors as well. ## Changes * Generate buffer variants for the int8 linear tiled shader * Force the scales tensor to always be a buffer to reduce the number of shader variants that need to be generated. * Generate an additional variant that computes only 1 output row * Do not require output rows to be an exact multiple of 4 or 6 to use the tiled implementation ghstack-source-id: 279878372 Differential Revision: [D73276277](https://our.internmc.facebook.com/intern/diff/D73276277/)
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/10415
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* main: [ET-VK] Enable int8 tiled compute shader to be used with buffer tensors (#10415) Revert "Migrate elementwise_util callers to the variants with out_dtypes in template arguments" (#10411) Revert "Save some size in dtype_util when dtype selective build is not in use" (#10410) Generalize view_copy fusion. Add job_arn to benchmark result (#10372) Revert "Minibench refactor (#10376)" (#10405) Revert "Arm backend: Populate __init__.py for quantizer and Arm root" (#10395) Arm backend: Convert assert to throw ValueError in op_log (#10392) Arm backend: Add Tutorial to Example tab on the Docs page (#10386) Arm backend: Update node visitors to support TOSA 1.0 (#10390) Arm backend: Make it easier to generate non delegated/quantized PTEs (#10387) Arm backend: Allow --quantize in non delegated using aot_arm_compiler (#10385) Arm backend: Set REGIONCFG registers of the Ethos-U (#10388)
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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: #10302 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/214/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/SS-JIA/214/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/main
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/SS-JIA/214/orig
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