[Vulkan] Match ATen special values in pow.Tensor_Scalar - #23212
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power_of only special-cased zero bases and used a 1e-5 tolerance to detect odd integer exponents, so NaN, infinities, signed zeros and negative bases with fractional exponents gave wrong results. It now follows ATen case by case, including the FP32 sqrt and rsqrt path for exponents of plus or minus 0.5. The requested tensor dtype survives device storage emulation, so FP16 keeps its distinct ATen special-value semantics on SwiftShader. Explicit nearest-even output conversion preserves the FP16 conformance cases on hardware GPUs. Authored with OpenAI Codex; split planned with Claude Code.
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/23212
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Superseded by #23251, part 12/15 of the ghstack replacement series. The current integration PR is #23254. This PR is closed in favor of the replacement; its previous description and review history are retained.
power_of only special-cased zero bases and used a 1e-5 tolerance to detect odd integer exponents, so NaN, infinities, signed zeros and negative bases with fractional exponents gave wrong results. It now follows ATen case by case, including the FP32 sqrt and rsqrt path for exponents of plus or minus 0.5. The requested tensor dtype survives device storage emulation, so FP16 keeps its distinct ATen special-value semantics on SwiftShader. Explicit nearest-even output conversion preserves the FP16 conformance cases on hardware GPUs.
Part 12/15 of the Vulkan transformer and operator-conformance stack. Depends on #23211; review against the selected base branch. Integration PR: #23162.
Validation: 1 passed, 2 warnings in 72.00s (0:01:12). Lintrunner and git diff --check pass. Native tests use MoltenVK with portable CPU kernels; hardware and SwiftShader CI are pending.
Authored with OpenAI Codex; split planned with Claude Code.
cc @SS-JIA @manuelcandales @digantdesai @cbilgin