Support building Windows CUDA with Ninja

[mszhanyi]

How to run it locally

1. conda install ninja
2. "C:\Program Files\Microsoft Visual Studio\2022\Enterprise\VC\Auxiliary\Build\vcvarsall.bat" x64
3. python.exe {ort_repo}\tools\ci_build\build.py --config RelWithDebInfo --build_dir {ort_repo}\build_cuda --skip_submodule_sync --build_csharp --update --parallel --cmake_generator "Ninja" --build_shared_lib --enable_onnx_tests --enable_pybind --build_java --build_nodejs --use_cuda "--cuda_home=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8" --enable_cuda_profiling --cmake_extra_defines CMAKE_CUDA_ARCHITECTURES=60
4. cd build_cuda\RelWithDebInfo
5. cmake --build . j16

Motivation and Context

In packaging pipelines, we often come across a random issue that the building with CUDA on Windows takes too much time.
Although it has been reduced much by moving the building to the CPU machine.
We're planning to build with Ninja instead of msbuild in Packaging pipelines, thus, nvcc can run parallelly.
It's the first step to support it locally.

[fs-eire]

I am OK with this change for enabling user to build Nodejs binding for cuda locally. However I think this change does not make the prebuilt onnxruntime-node package to support cuda on windows out of box. It’s not only because there need to be some code changes for the build pipeline, but also because there might be some issue to make a build to support both DML and Cuda at the same time (@snnn may know some details).