[feat]: add kunpeng kml support

[Alisehen]

[gemini-code-assist[bot]]

Summary of Changes

Hello @Alisehen, I'm Gemini Code Assist[^1]! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request addresses a bug related to the Kunpeng KML integration, primarily focusing on ensuring the correct build environment setup and refining the MOE (Mixture of Experts) kernel implementation. The changes streamline the KML-specific build process, refactor MOE kernel class names for clarity, and introduce a fix for the scaling logic within the MOE kernel, enhancing its stability and correctness.

Highlights

• KML Build Configuration: Updated CMakeLists.txt to correctly configure specific GCC/G++ compilers, include directories, and link directories when KTRANSFORMERS_CPU_USE_KML is enabled, ensuring proper integration with the Kunpeng Math Library.
• MOE Kernel Renaming: Refactored MOE (Mixture of Experts) kernel class names in test_moe_kml.py from KMLInt8_MOE to Int8_KERNEL_MOE and KMLInt4_MOE to Int4_KERNEL_MOE, streamlining naming conventions.
• MOE Scaling Logic Fix: Modified the apply_scale function in kernel.hpp to introduce an optional jth parameter and adjust the m dimension splitting logic, likely resolving a bug in how scaling is applied across different blocks or ranges.
• Header Management and Refactoring: Adjusted header includes across several files, including removing operators/kml/moe.hpp from ext_bindings.cpp, adding shared_mem_buffer.h to common.hpp, commenting out float16_t and bfloat16_t type aliases in api/common.h, and updating an include path in batch_gemm_kernels.cpp.

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