[ET-VK] Plumb subgroup property queries + VK_EXT_subgroup_size_control#19434
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[ET-VK] Plumb subgroup property queries + VK_EXT_subgroup_size_control#19434pytorchbot wants to merge 1 commit intogh/SS-JIA/529/origfrom
pytorchbot wants to merge 1 commit intogh/SS-JIA/529/origfrom
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Adds infrastructure for querying GPU subgroup capabilities and pinning required subgroup size at pipeline creation time, sourced from the existing `SUBGROUP_SIZE` yaml template parameter. This is the foundation for writing subgroup-using shaders (e.g. cooperative GEMV variants) that remain portable across GPUs with different subgroup widths (Adreno=64, Mali=16, NVIDIA=32, etc.). `PhysicalDevice` now chains `VkPhysicalDeviceSubgroupProperties` and `VkPhysicalDeviceSubgroupSizeControlProperties` into `vkGetPhysicalDeviceProperties2`, plus `VkPhysicalDeviceSubgroupSizeControlFeatures` into `vkGetPhysicalDeviceFeatures2`. The `Adapter` exposes accessors for subgroup_size, supported subgroup ops/stages, [min,max] subgroup size range, and whether the driver supports per-pipeline required subgroup size for the COMPUTE stage. `VK_EXT_subgroup_size_control` is added to the requested extension list and the size-control features are chained into device-create pNext when supported. `ComputePipeline::Descriptor` gains a `required_subgroup_size` field that, when nonzero, chains `VkPipelineShaderStageRequiredSubgroupSizeCreateInfoEXT` into pipeline creation (both the on-demand `retrieve` path and the batch `create_pipelines` path). The pipeline cache key includes the field so pipelines compiled for different subgroup widths cache independently. `ShaderInfo` carries the same field so it can be plumbed from shader yaml through to the pipeline descriptor. The existing `SUBGROUP_SIZE` yaml template parameter is now the single source of truth: `gen_vulkan_spv.py` substitutes it into GLSL as before AND emits it as `ShaderInfo::required_subgroup_size`. At dispatch, `vkapi::resolve_required_subgroup_size` validates the value is within the adapter's `[min, max]` range and throws `ShaderNotSupportedError` if the extension is unsupported or the value is out of range, surfacing a clear failure rather than silently miscompiling a shader whose algorithm depends on the pinned subgroup width. No shader yamls are modified by this change; subsequent commits opt their shaders into the pinning by declaring `SUBGROUP_SIZE` in their yamls. Differential Revision: [D104456803](https://our.internmc.facebook.com/intern/diff/D104456803/) ghstack-source-id: 379498994 Pull Request resolved: #19403
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/19434
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 FailuresAs of commit a0a54ad with merge base c564936 ( 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: #19403 by @SS-JIA
^ 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/SS-JIA/530/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/SS-JIA/530/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/SS-JIA/529/orig
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/SS-JIA/530/orig
Differential Revision: D104456803
@diff-train-skip-merge