onnxruntime

160af835 - CUDA Resize: add optimized 3D nearest resize kernel for 5D up/down sa… (#27578)

CUDA Resize: add optimized 3D nearest resize kernel for 5D up/down sa… (#27578) ## Summary This PR adds CUDA support for optimized **nearest-neighbor 3D resize mapping/execution** in the Resize operator path, and adds targeted regression coverage. The implementation introduces a dedicated 3D fast path for nearest resize to handle the last three spatial dimensions (`D/H/W`) efficiently when outer dimensions are unchanged. ## What Changed ### CUDA Resize implementation File: `onnxruntime/core/providers/cuda/tensor/resize_impl.cu` - Added 3D nearest mapping kernel: - `_ResizeNearestMappingKernel3D` - Added 3D nearest compute kernel: - `_ResizeNearestKernel3D` - Added optimized 3D dispatch path in `ResizeNearestImpl`: - Enabled when: - `rank >= 3` - `coordinate_transformation_mode != tf_crop_and_resize` - all outer scales (except last 3 dims) are `1.0` This keeps existing behavior unchanged for other cases while using the optimized path for true 3D nearest resize workloads. ### Regression tests File: `onnxruntime/test/providers/cpu/tensor/resize_op_test.cc` Added CUDA-targeted regression tests: - `ResizeOpNearestUpSampleTest_5D_CudaRegression_Optimized3DMapping` - `ResizeOpNearestDownSampleTest_5D_CudaRegression_Optimized3DMapping` ## Why The previous nearest implementation relied on the generic path for these 3D scenarios. This change introduces a dedicated CUDA 3D path to improve performance for 5D nearest resize workloads. Fixes #14596