onnxruntime

28bcc9cf - Fill CUDA opset gap for ReduceMax and ReduceMin (18 → 20) (#27755)

Fill CUDA opset gap for ReduceMax and ReduceMin (18 → 20) (#27755) ### Description Extends CUDA ReduceMax and ReduceMin kernel registrations from opset 18 to opset 20. - **`reduction_ops.cc`**: Added `REGISTER_KERNEL_VERSIONED_RANGE_AXES_INPUT_TYPED` macro for versioned ranges requiring `InputMemoryType(OrtMemTypeCPUInput, 1)`. Split both operators from 2-way (1–17, 18+) to 3-way (1–17, 18–19, 20+). - **`cuda_execution_provider.cc`**: Capped opset 18 forward declarations and `BuildKernelCreateInfo` entries to versioned 18–19. Added opset 20 non-versioned entries for both operators. Type coverage maintained as-is: ReduceMax (float, double, MLFloat16, int32_t, int64_t), ReduceMin adds int8_t, uint8_t. ### Motivation and Context ReduceMax and ReduceMin CUDA registrations stopped at opset 18; ONNX latest is opset 20. Models exported with opset 19–20 could fail to find a matching CUDA kernel for these ops. Follows the same pattern used in #27735 (TopK) and other opset gap PRs tracked in #27729. --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: tianleiwu <30328909+tianleiwu@users.noreply.github.com> Co-authored-by: Tianlei Wu <tlwu@microsoft.com>