[feat](moe_kernel): add amd blis support (int8)

[KMSorSMS]

#1582 #1601

[gemini-code-assist[bot]]

Summary of Changes

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This pull request significantly expands the project's hardware support by integrating AMD BLIS for optimized Mixture of Experts (MoE) kernel operations. It introduces new INT4 and INT8 quantized MoE kernel implementations and refines the build system to provide better configurability and a more robust developer experience, particularly for CUDA-enabled builds.

Highlights

• AMD BLIS Support: Introduced a new CMake preset named 'amd' and configured specific flags (KTRANSFORMERS_CPU_MOE_AMD, KTRANSFORMERS_CPU_MOE_KERNEL) to enable AMD BLIS for Mixture of Experts (MoE) kernels, enhancing performance on AMD platforms.
• New MoE Kernel Implementations: Integrated Int4_KERNEL_MOE and Int8_KERNEL_MOE classes into the Python KTMoEWrapper, allowing for efficient MoE operations with INT4 and INT8 quantization, likely leveraging the new AMD BLIS backend.
• Build System Enhancements: Improved the setup.py script by adding automatic nvcc path detection, support for specifying CUDA architectures via CPUINFER_CUDA_ARCHS, and an option (CPUINFER_ALWAYS_CLEAN) to clean the build directory before configuration, streamlining the compilation process.

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