Reduce Python and Nuget GPU package size

[chilo-ms]

Description

The package size limit for PyPI and Nuget are:

• python package size under 300MB
• Nuget package size under 250MB

To meet the size limit,
this PR firstly removes some old GPU arch support in CMAKE_CUDA_ARCHITECTURE.
Secondly, it removes the FPA_INTB_GEMM support in Linux Python wheel.

Python wheel

OS	cmake_cuda_architecture	CUDA kernel removal	Package size	Under 300MB
Linux	60-real;70-real;75-real;80-real;86-real;90a-real;90a-virtual		341 MB	No (original)
Linux	70-real;75-real;80-real;86-real;90a-real;90a-virtual		329 MB	No
Linux	75-real;80-real;86-real;90a-real;90a-virtual		319 MB	No
Linux	80-real;86-real;90a-real;90a-virtual		304 MB	No
Linux	60-real;70-real;75-real;80-real;86-real;90a-real;90a-virtual.	FPA_INTB_GEMM	287 MB	Yes
Windows	52-real;61-real;75-real;86-real;89-real;90a-virtual		272 MB	Yes (original)

Nuget

OS	cmake_cuda_architecture	CUDA kernel removal	Package size	Under 250MB
Linux	60-real;70-real;75-real;80-real;90a-real;90a-virtual		276 MB	No (original)
Linux	75-real;80-real;90a-real;90a-virtual		253 MB	No
Linux	60-real;70-real;75-real;80-real;90a-real;90a-virtual	FPA_INTB_GEMM	230 MB	Yes
Windows	52-real;61-real;75-real;86-real;89-real;90a-virtual		264 MB	No (original)
Windows	61-real;75-real;86-real;89-real;90a-virtual		254 MB	No
Windows	75-real;86-real;89-real;90a-virtual		242 MB	Yes

Motivation and Context

[chilo-ms]

The size of python wheel for Linux is 304 MB with "80-real;86-real;90a-real;90a-virtual" CUDA architecture enabled, which is still slightly over 300 MB size limit.
https://aiinfra.visualstudio.com/Lotus/_build/results?buildId=936299&view=artifacts&pathAsName=false&type=publishedArtifacts

SM80 (A100), SM86 (A10), SM90 (H100) seems to be the main GPUs our customers are using, and we can't remove them from ORT support list.
Another option is to sacrifice the performance meaning remove 86-real or 90-real (SASS) and add the virtual one (PTX) for compatibility.

[chilo-ms]

Discussed offline that we might also want to reduce some heaviest cuda kernels, i.e. beam_search_topk.
With only keeping branch of 8:

if (k <= 8) {
    TopKLauncher(8)
  } else {
    ORT_THROW("K>8 is not supported for beam search");
  }

For Linux,
Now CUDA EP library is 448MB.
The wheel is ~302MB.

Update: We don't need to modify beam_search_topk as removing FPA_INTB_GEMM can give us space back.
https://aiinfra.visualstudio.com/Lotus/_build/results?buildId=942363&view=artifacts&pathAsName=false&type=publishedArtifacts

[snnn]

This PR has been cherry-picked into the rel-1.23.0 branch in PR #26087. Removing the release:1.23.0 label.