[ExecuTorch][WebGPU] Generate extrema and unary shader variants - #21659
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Pull Request resolved: #21450 **Generate extrema and unary shader families** The extrema reductions and ten no-parameter unary kernels duplicated shader skeletons that could drift independently. This consolidates amax/amin behind one extrema template and abs/cos/exp/hardswish/neg/round/rsqrt/sin/sqrt/tanh behind one unary template while preserving the generated runtime payloads. Key changes: - Generate amax/amin from one extrema manifest. - Generate ten unary payloads from one operator-expression manifest. - Lock expanded bytes, registry entries, delegation, and boundary numerics. The attempted Unary lifecycle migration is intentionally not part of the stack: its performance campaign did not produce an authoritative passing result, so the Unary builder, interface, and activation/sigmoid call sites are restored to their pre-migration bytes. Co-authored-with: Claude Code. ghstack-source-id: 411961475 @exported-using-ghexport Differential Revision: [D113979760](https://our.internmc.facebook.com/intern/diff/D113979760/)
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…riants Pull Request resolved: #21451 **Generate byte-identical logical and arithmetic binary variants from shared WGSL families** Logical AND/OR and four arithmetic binary kernels duplicated shader skeletons and broadcast logic. This consolidates logical AND/OR behind one packed-Boolean family and minimum/pow/floor_divide/mul into the existing binary family, with a permanent mixed-rank broadcast contract. Key changes: - Generate logical AND/OR from one operator-token manifest. - Generate minimum, pow, floor_divide, and mul beside the existing div/sub variants. - Lock same-shape and mixed-rank expressions, exact payloads/workgroups, PTE delegation, and broadcast boundary cases. No runtime C++ dispatch, bindings, pipeline construction, workgroups, or expanded shader payloads change. Four standalone WGSL inputs are removed, and future compatible variants require manifest entries instead of copied kernels. This follows the Vulkan binary-family pattern. Co-authored-with: Claude Code. ghstack-source-id: 411961479 @exported-using-ghexport Differential Revision: [D113979789](https://our.internmc.facebook.com/intern/diff/D113979789/)
…ynamic resize Pull Request resolved: #21483 **Preserve immutable Linear and Q4 embedding shader controls across dynamic resize through typed parameter authorities.** **Problem** The Linear resize hook dropped has_bias, and the Q4 embedding resize path could drop is_linear_weight. Both defects produced correct build-time outputs but silently changed semantics after a live shape update. **Solution** - Before: build and resize populated control words independently, allowing immutable shader state to reset. - After: each build/resize pair calls one typed helper while recomputing only live counts and dispatch. **Implementation** - Linear.cpp — make_linear_params preserves the bias flag across vec4 and tiled routes. - EmbeddingQ4gsw.cpp — EmbeddingLayout and make_embedding_params preserve nibble layout across resize. - Mirrors Vulkan runtime/graph/ops/impl/Linear.cpp and EmbeddingQ4gsw.cpp, which carry immutable shader controls through dynamic dispatch. **Constraints** WGSL bytes, shader selection, bindings, uniform sizes, queue-write counts, dispatch formulas, and pipeline topology are unchanged. Production handler code is smaller because duplicated field population and scalar captures are removed. Co-authored-with: Claude Code. ghstack-source-id: 411961489 @exported-using-ghexport Differential Revision: [D113992326](https://our.internmc.facebook.com/intern/diff/D113992326/)
This PR was created by the merge bot to help merge the original PR into the main branch. ghstack PR number: #21597 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/204/base ghstack PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/204/head Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/JCNTH/203/orig Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/204/orig Differential Revision: [D114936148](https://our.internmc.facebook.com/intern/diff/D114936148/) @diff-train-skip-merge cc @SS-JIA @manuelcandales @digantdesai @cbilgin --------- Co-authored-by: Julian Ng-Thow-Hing <juliannth@meta.com> Co-authored-by: Julian Ng-Thow-Hing <107437036+JCNTH@users.noreply.github.com>
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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: #21450 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/200/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/200/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/JCNTH/199/orig
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/200/orig
@diff-train-skip-merge