Arm backend: Add 16A8W support and test for add operation#14039
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Pull Request resolved: #13789 Add 16A8W quantization support and comprehensive tests for the add operation in ExecutorTorch ARM backend targeting Ethos U55 and U85 NPUs. This follows the pattern established for linear operations, extending int16 support to add operations with hardware-specific testing. Changes: - Add INT16 dtype validation support in op_add.py - Add test_add_tensor_16a8w_tosa_INT test function with U55/U85 pipeline support - Add U55 and U85 specific 16A8W tests with proper xfail decorators - Fix U55/U85 test parameter usage (remove unsupported tosa_extensions, clean quantizer function calls) - Update xfail reasons to consistent 'Vela compilation fails with Invalid arguments' pattern ghstack-source-id: 308053642 ghstack-source-id: 308053642 @exported-using-ghexport @bypass-github-pytorch-ci-checks @bypass-github-pytorch-ci-checks @bypass-github-executorch-ci-checks Differential Revision: [D80510463](https://our.internmc.facebook.com/intern/diff/D80510463/)
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/14039
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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: #13789 by @Ninja91
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ghstack PR base: https://github.com/pytorch/executorch/tree/gh/Ninja91/5/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/Ninja91/5/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/main
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/Ninja91/5/orig
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