[ExecuTorch][WebGPU] GPU timestamp query profiling (general implementation)#20258
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[ExecuTorch][WebGPU] GPU timestamp query profiling (general implementation)#20258pytorchbot wants to merge 1 commit into
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…ation) Pull Request resolved: #20201 Backend-agnostic GPU-timestamp infrastructure, split out so the general implementation is foundational (below SDPA) while the SDPA-specific dispatch labeling stays above the SDPA op. Composed of: `WebGPUQueryPool`, a faithful re-port of Vulkan's `vkapi::QueryPool` (`backends/vulkan/runtime/vk_api/QueryPool.{h,cpp}`) — same `ShaderDuration` data model and ticks->ns conversion; three deviations are forced by the WebGPU API (per-dispatch bracketing via a compute-pass `timestampWrites` descriptor since there is no mid-encoder `writeTimestamp`; readback via `resolveQuerySet` + buffer map rather than host-side `vkGetQueryPoolResults`; the `TimestampQuery` capability requested as an explicit device feature, fail-open if the adapter lacks it). `WebGPUDevice` gains timestamp-feature detection, and `WebGPUGraph` gains a per-dispatch `kernel_name` label plus `execute()` bracketing of each compute pass when the pool is active. Opt-in via the `WEBGPU_TIMESTAMP_QUERY` env var; off by default, so the production `execute()` path is byte-identical. The SDPA per-kernel labeling lives in the companion "for SDPA" diff above the SDPA op. Co-authored with Claude. ghstack-source-id: 392975889 @exported-using-ghexport Differential Revision: [D108188287](https://our.internmc.facebook.com/intern/diff/D108188287/)
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/20258
Note: Links to docs will display an error until the docs builds have been completed. ❗ 1 Active SEVsThere are 1 currently active SEVs. If your PR is affected, please view them below: ❌ 3 New Failures, 6 PendingAs of commit 81ac620 with merge base 5526971 ( NEW FAILURES - The following jobs have failed:
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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: #20201 by @JulianCloudNTH
^ 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/JulianCloudNTH/22/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/JulianCloudNTH/22/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/main
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/JulianCloudNTH/22/orig
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