Fix build pipeline for CUDA 13.0 (#26983)
This PR fixes the build pipeline failures observed with CUDA 13.0.
### Changes:
1. **Compiler Flags**: Fixed check_nvcc_compiler_flag macro in
adjust_global_compile_flags.cmake to correctly pass flags to the host
compiler using -Xcompiler, preventing 'nvcc fatal' errors. Added
cmake/empty.c for this check.
2. **Node.js Bindings**: Fixed warn_unused_result warnings in
session_options_helper.cc by wrapping CreateCUDAProviderOptions calls
with Ort::ThrowOnError.
3. **CCCL Header Location**: Updated `onnxruntime_providers_cuda.cmake`
to handle the relocation of CCCL headers in CUDA 13.0. It now adds the
`cccl` subdirectory to include paths when detected, ensuring headers
like `<cuda/std/utility>` are correctly found.
4. Update nuget pipeline to pass cudnn home to build command line for
cuda 13. See "cudnn not found" issue below.
5. Diable a step 'Test C API application for GPU package' in nuget
pipeline, since "Onnxruntime-Linux-GPU-A10" pool has old cuda driver
which cannot run cuda 13. This is a temporary walkaround to unblock the
pipeline before we have a pool with new cuda driver.
#### Issue: cuda/std/utility not found
See https://github.com/microsoft/onnxruntime/issues/26362.
I tried two ways to fix it, one is to change
CMAKE_CUDA_COMPILER_FRONTEND_VARIANT, another is to add include cccl
path for cuda 13. Both can fix the error in build pipeline. Since the
second approach more straightforward, it is kept.
#### Issue: cudnn not found
The Windows packaging builds ("Windows_Packaging_CUDA" and
"Windows_Packaging_TensorRT") were failing for CUDA 13.0 because the
--cudnn_home argument was missing from the build.py command line.
Note that CUDA 12.8 build has no such problem, since we put cudnn with
cuda togother. For cuda 13, we separate cuda and cudnn to two
directories, so we need add --cudnn_home in build commands for CUDA 13.
Fix:
* Defined win_cudnn_home in c-api-noopenmp-packaging-pipelines.yml and
cuda-packaging-pipeline.yml (set to
$(Agent.TempDirectory)\9.14.0.64_cuda13 for CUDA 13.0).
* Propagated this variable through nuget-combine-cuda-stage.yml to
nuget-win-cuda-packaging-stage.yml
* Updated nuget-win-cuda-packaging-stage.yml to conditionally add
--cudnn_home=${{ parameters.win_cudnn_home }} to the build parameters
when the variable is set.
