[ExecuTorch][WebGPU] Add certified scoped output suppression - #21127
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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: #21127 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/103/base ghstack PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/103/head Merge bot PR base: https://github.com/pytorch/executorch/tree/main Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/JCNTH/103/orig @diff-train-skip-merge --------- 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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Stack from ghstack (oldest at bottom):
When a caller discards a model's terminal output tensor, the backend still
dispatches the final quantized-linear range and reads it back, wasting a
dispatch and a device-to-host copy on every execution. This adds a default-off,
certificate-bound execution option that suppresses exactly one explicitly
certified terminal output dispatch range and its readback. The certificate must
bind the exact PTE and method and prove a single delegate, no portable nodes,
and a unique leaf output resolving to the caller's host buffer; anything
ambiguous, aliased, portable, or uncertified fails closed and executes
normally. No Vulkan analogue (WebGPU runtime output-contract change).
Key changes:
ScopedWebGPUExecutionOptions, and plan_webgpu_execution suppression planner.
dispatch range and readback when suppression is active.
@exported-using-ghexport
Differential Revision: D113171751
Differential Revision: D113171751