[ET-VK][AOT] Enable exporting Q8 Quantized Linear + Convolution #14043
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/14043
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Pull Request resolved: #13818 As title. Introduce fusion patterns to enable fusing quantized convolution and linear graph patterns into a custom op. ## Changes Introduce the concept of using custom pattern detection functions to detect graph patterns rather than solely relying on SubgraphMatcher. The issue with SubgraphMatcher is that a large number of graph patterns may need to be exported to obtain variants for different combinations of decompositions/quantization workflows. Having a custom detection function improves maintainability. Implement detection + replacement functions for quantized linear and quantized conv2d. ghstack-source-id: 308092874 @exported-using-ghexport Differential Revision: [D81323425](https://our.internmc.facebook.com/intern/diff/D81323425/)
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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: #13818 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/318/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/SS-JIA/318/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/SS-JIA/317/orig
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/SS-JIA/318/orig
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