Skip to content

Conversation

@Alisehen
Copy link
Contributor

No description provided.

@gemini-code-assist
Copy link
Contributor

Summary of Changes

Hello @Alisehen, I'm Gemini Code Assist1! 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.
Using Gemini Code Assist

The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.

Invoking Gemini

You can request assistance from Gemini at any point by creating a comment using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands on the current page.

Feature Command Description
Code Review /gemini review Performs a code review for the current pull request in its current state.
Pull Request Summary /gemini summary Provides a summary of the current pull request in its current state.
Comment @gemini-code-assist Responds in comments when explicitly tagged, both in pull request comments and review comments.
Help /gemini help Displays a list of available commands.

Customization

To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a .gemini/ folder in the base of the repository. Detailed instructions can be found here.

Limitations & Feedback

Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for Github and other Google products, sign up here.

You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension.

Footnotes

  1. Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configure Gemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution.

@Alisehen Alisehen changed the title fix kunpeng kml bug [feat]: add kunpeng kml support Nov 13, 2025
Copy link
Contributor

@gemini-code-assist gemini-code-assist bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Code Review

This pull request introduces support for Kunpeng Math Library (KML) and fixes related bugs. The changes include updating the CMake build system to locate KML compilers and libraries, and refactoring MoE kernel APIs for better consistency. My review focuses on improving the portability and maintainability of the build system. I've identified hardcoded paths in CMakeLists.txt that should be replaced with variables to allow for different installation locations. I've also noted an opportunity to reduce code duplication in kernel.hpp by refactoring common logic between GemmKernelInt8 and GemmKernelInt4.

Comment on lines +46 to +47
set(CMAKE_C_COMPILER "/opt/HPCKit/25.1.0/compiler/gcc/bin/gcc" CACHE FILEPATH "C compiler" FORCE)
set(CMAKE_CXX_COMPILER "/opt/HPCKit/25.1.0/compiler/gcc/bin/g++" CACHE FILEPATH "C++ compiler" FORCE)
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

high

Hardcoding absolute paths for compilers makes the build configuration fragile and not portable. This will cause build failures on any machine with a different setup. It's better to define a variable for the root path of the toolkit and use it here.

You should define HPCKIT_ROOT before this block, for example, near the other options:

set(HPCKIT_ROOT "/opt/HPCKit/25.1.0" CACHE PATH "Root directory of the Kunpeng HPC Kit")

Then you can use it in this block and for the include/link directories later.

    set(CMAKE_C_COMPILER   "${HPCKIT_ROOT}/compiler/gcc/bin/gcc" CACHE FILEPATH "C compiler" FORCE)
    set(CMAKE_CXX_COMPILER "${HPCKIT_ROOT}/compiler/gcc/bin/g++" CACHE FILEPATH "C++ compiler" FORCE)

Comment on lines +423 to +424
include_directories("/opt/HPCKit/25.1.0/kml/gcc/include")
link_directories(/opt/HPCKit/25.1.0/kml/gcc/lib)
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

high

These paths are also hardcoded, which harms portability. Please use the HPCKIT_ROOT variable suggested for the compiler paths. This makes it much easier to adapt the build to different environments.

Also, note that link_directories() is a legacy command. It's better to use target_link_libraries() with the full path to libraries for specific targets to avoid polluting the link path for all targets.

    include_directories("${HPCKIT_ROOT}/kml/gcc/include")
    link_directories(${HPCKIT_ROOT}/kml/gcc/lib)

Comment on lines +1109 to 1121
static void apply_scale(int m, int n, float *c, BufferA *ba, BufferB *bb, BufferC *bc, int ith, int nth, int block, int jth = -1) {
// printf("use split apply scale\n");
auto [n_start, n_end] = split_range_n_block(n, ith, nth, block);
int m_start = 0, m_end = m;
if (jth != -1) {
auto tmp = split_range_m(m, jth);
m_start = tmp.first;
m_end = tmp.second;
}
// TODO: 后续用 SVE 来加速
for (int m_begin = 0; m_begin < m; m_begin += M_STEP) {
for (int i = 0; i < M_STEP && m_begin + i < m; i++) {
for (int m_begin = m_start; m_begin < m_end; m_begin += M_STEP) {
for (int i = 0; i < M_STEP && m_begin + i < m_end; i++) {
float *scale_a = ba->get_scale(m, m_begin + i);
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

medium

This change is also present in GemmKernelInt8 (lines 692-705). The structs GemmKernelInt8 and GemmKernelInt4 share a lot of duplicated code. While this PR makes them consistent, it also propagates the duplication. To improve maintainability, consider refactoring the common code into a base class or a template. This would reduce redundancy and make future changes easier.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant