[ExecuTorch][WebGPU] Test: rms_norm workgroup size is runtime-configurable#21008
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…rable Pull Request resolved: #20956 Add a native gtest that locks the wg-size configurability guarantee: the same rms_norm WGSL, run at override `wg_size` 64 and 128, must produce the same output. `Module::forward` always uses the handler-clamped size (64), so the test builds the compute pipeline directly and sets `wg_size` via a `WGPUConstantEntry`, mirroring the runtime pipeline setup + `WebGPUGraph::copy_outputs` readback. Key changes: - `test/test_webgpu_native.cpp` — `run_rms_norm_at_wg()` standalone-pipeline helper + `RmsNormWorkgroupSizeConfigurable` test (element-wise agree within abs 1e-4 / rel 1e-3, plus a non-zero sanity guard). Self-contained (no `.pte`/export), so it runs inside `webgpu_native_test` under `test_webgpu_native_ci.sh` with no new wiring. Absolute rms_norm correctness stays covered by the model-driven golden tests; this adds the "128 matches 64" guarantee. Co-authored-with: Claude Code. ghstack-source-id: 403097259 @exported-using-ghexport Differential Revision: [D112060302](https://our.internmc.facebook.com/intern/diff/D112060302/)
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/21008
Note: Links to docs will display an error until the docs builds have been completed. ⏳ No Failures, 143 PendingAs of commit 62db074 with merge base e500fee ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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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: #20956 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/88/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/88/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/JCNTH/87/orig
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/88/orig
@diff-train-skip-merge