[executorch][webgpu] Test linear embedding dynamic reuse - #21469
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Pull Request resolved: #21406 **Dynamic-shape coverage now locks linear-packed Q4 embedding reuse.** The fixture exports a discriminating linear-packed model and reuses one loaded graph across N=16,8,1,16, covering the resize transition that previously reset nibble order. Key changes: - `test_dynamic_shape_export.py` — export deterministic true-packing artifacts and torch goldens for N=16,8,1. - `test_dynamic_shape.cpp` — add one-graph linear-packed reuse coverage while preserving the nonlinear control. The explicit true-vs-false output guard prevents a non-discriminating fixture. Co-authored-with: Claude Code. ghstack-source-id: 407350695 @exported-using-ghexport Differential Revision: [D113627869](https://our.internmc.facebook.com/intern/diff/D113627869/)
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/21469
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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: #21406 by @JCNTH
^ 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/JCNTH/196/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/196/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/JCNTH/195/orig
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/196/orig
@diff-train-skip-merge