Add support for CUDA architecture family codes

[mc-nv]

This change extends CUDA architecture handling to support family-specific codes (suffix 'f') introduced in CUDA 12.9, aligning with updates made to Triton Inference Server repositories (backend and onnxruntime_backend).

Changes:

1. Added CUDAARCHS environment variable support (standard CMake variable)

   • Allows users to override architecture list via environment variable
   • Takes precedence when CMAKE_CUDA_ARCHITECTURES is not set

2. Extended regex patterns to recognize family code suffix 'f'

   • Supports codes like 100f, 110f, 120f for CC 10.x, 11.x, 12.x families
   • Preserves 'f' suffix during parsing phase

3. Updated normalization logic to handle family codes

   • Family codes (ending with 'f') preserved without adding -real suffix
   • Traditional codes continue to receive -real or -a-real suffixes
   • Architecture-specific codes (with 'a') remain unchanged

4. Extended architecture support lists

   • Added SM 110 to ARCHITECTURES_WITH_KERNELS
   • Added SM 110 to ARCHITECTURES_WITH_ACCEL

Family-specific codes (introduced in CUDA 12.9/Blackwell) enable forward compatibility within a GPU family. For example, 100f runs on CC 10.0, 10.3, and future 10.x devices, using features common across the family.

Usage examples:

• CUDAARCHS="75;80;90;100f;110f;120f" cmake ..
• cmake -DCMAKE_CUDA_ARCHITECTURES="75-real;80-real;90-real;100f;120f" ..
• python build.py --cmake_extra_defines CMAKE_CUDA_ARCHITECTURES="100f;110f"

The implementation supports mixed formats in the same list:

• Traditional: 75-real, 80-real, 90-real
• Architecture-specific: 90a-real (CC 9.0 only)
• Family-specific: 100f, 110f, 120f (entire family)

Note: Current defaults still use bare numbers (75;80;90;100;120) which normalize to architecture-specific codes with 'a' suffix. Users who want family-specific behavior should explicitly use the 'f' suffix via CUDAARCHS environment variable or CMAKE_CUDA_ARCHITECTURES.

References:

• NVIDIA Blackwell and CUDA 12.9 Family-Specific Architecture Features: https://developer.nvidia.com/blog/nvidia-blackwell-and-nvidia-cuda-12-9-introduce-family-specific-architecture-features/
• Triton Inference Server backend updates (commit f5e901f)

Description

Motivation and Context

[mc-nv]

cc: @chilo-ms

[tianleiwu]

/azp run Linux QNN CI Pipeline, Win_TRT_Minimal_CUDA_Test_CI, Windows ARM64 QNN CI Pipeline, Windows GPU Doc Gen CI Pipeline

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