Files
xc-llm-ascend/CMakeLists.txt
hukongyi ea8f544ce7 [BugFix]Fix precision issue for LoRA feature (#4141)
vLLM version: v0.11.0
vLLM main: vllm-project/vllm

### What this PR does / why we need it?
   Fix the precision issue of the LoRA feature in vllm-ascend.

### Does this PR introduce _any_ user-facing change?

### How was this patch tested?
```bash
pytest tests/lora/test_llama_tp.py::test_llama_lora -s
```
<img width="1319" height="879" alt="lora_test"
src="https://github.com/user-attachments/assets/2a0b2325-5b05-4bbc-ac03-a7c9f0ad9d4c"
/>


- vLLM version: v0.12.0
- vLLM main:
ad32e3e19c

---------

Signed-off-by: hukongyi <hukongyi@cmbchina.com>
2025-12-19 14:22:06 +08:00

141 lines
4.3 KiB
CMake

cmake_minimum_required(VERSION 3.16)
project(vllm_ascend_C)
# include(CheckCXXcompilerFlag)
# check_cxx_compiler_flag("-std=c++17", COMPILER_SUPPORTS_CXX17)
set(CMAKE_CXX_STANDARD 17)
include(${CMAKE_CURRENT_LIST_DIR}/cmake/utils.cmake)
# Suppress potential warnings about unused manually-specified variables
set(ignoreMe "${VLLM_PYTHON_PATH}")
# TODO: Add 3.12 back when torch-npu support 3.12
set(PYTHON_SUPPORTED_VERSIONS "3.9" "3.10" "3.11")
find_package(pybind11 REQUIRED)
append_cmake_prefix_path("torch" "torch.utils.cmake_prefix_path")
set(VLLM_ASCEND_INSTALL_PATH "${CMAKE_INSTALL_PREFIX}")
find_package(Torch REQUIRED)
run_python(TORCH_VERSION
"import torch; print(torch.__version__)" "Failed to locate torch path")
# check torch version is 2.8.0
if(NOT ${TORCH_VERSION} VERSION_EQUAL "2.8.0")
message(FATAL_ERROR "Expected PyTorch version 2.8.0, but found ${TORCH_VERSION}")
endif()
set(RUN_MODE "npu" CACHE STRING "cpu/sim/npu")
set(SOC_VERSION ${SOC_VERSION})
message(STATUS "Detected SOC version: ${SOC_VERSION}")
if (NOT CMAKE_BUILD_TYPE)
set(CMAKE_BUILD_TYPE "Release" CACHE STRINGS "Build type Release/Debug (default Release)" FORCE)
endif()
if (CMAKE_INSTALL_PREFIX STREQUAL /usr/local)
set(CMAKE_INSTALL_PREFIX "${CMAKE_CURRENT_LIST_DIR}/out" CACHE STRINGS "path to install()")
endif()
set(ASCEND_CANN_PACKAGE_PATH ${ASCEND_HOME_PATH})
if(EXISTS ${ASCEND_HOME_PATH}/tools/tikcpp/ascendc_kernel_cmake)
set(ASCENDC_CMAKE_DIR ${ASCEND_HOME_PATH}/tools/tikcpp/ascendc_kernel_cmake)
elseif(EXISTS ${ASCEND_HOME_PATH}/compiler/tikcpp/ascendc_kernel_cmake)
set(ASCENDC_CMAKE_DIR ${ASCEND_HOME_PATH}/compiler/tikcpp/ascendc_kernel_cmake)
elseif(EXISTS ${ASCEND_HOME_PATH}/ascendc_devkit/tikcpp/samples/cmake)
set(ASCENDC_CMAKE_DIR ${ASCEND_HOME_PATH}/ascendc_devkit/tikcpp/samples/cmake)
else()
message(FATAL_ERROR "ascendc_kernel_cmake does not exist, please check whether the cann package is installed.")
endif()
include(${ASCENDC_CMAKE_DIR}/ascendc.cmake)
file(GLOB KERNEL_FILES
${CMAKE_CURRENT_SOURCE_DIR}/csrc/kernels/*.cpp)
set(VLLM_ASCEND_CUSTOM_OP
${KERNEL_FILES}
${CMAKE_CURRENT_SOURCE_DIR}/csrc/mla_preprocess/op_kernel/mla_preprocess_kernel.cpp
${CMAKE_CURRENT_SOURCE_DIR}/csrc/batch_matmul_transpose/op_kernel/batch_matmul_transpose_kernel.cpp
)
set(VLLM_ASCEND_CUSTOM_OP_EXCLUDE
${KERNEL_FILES}/bgmv_expand.cpp
${KERNEL_FILES}/bgmv_shrink.cpp
${KERNEL_FILES}/sgmv_expand.cpp
${KERNEL_FILES}/sgmv_shrink.cpp
${CMAKE_CURRENT_SOURCE_DIR}/csrc/batch_matmul_transpose/op_kernel/batch_matmul_transpose_kernel.cpp
)
if(SOC_VERSION STREQUAL "ASCEND310P3")
list(REMOVE_ITEM VLLM_ASCEND_CUSTOM_OP ${VLLM_ASCEND_CUSTOM_OP_EXCLUDE})
endif()
ascendc_library(vllm_ascend_kernels SHARED
${VLLM_ASCEND_CUSTOM_OP}
)
message("TORCH_NPU_PATH is ${TORCH_NPU_PATH}")
if(SOC_VERSION STREQUAL "ASCEND310P3")
file(GLOB VLLM_ASCEND_SRC
${CMAKE_CURRENT_SOURCE_DIR}/csrc/*.cpp
${CMAKE_CURRENT_SOURCE_DIR}/csrc/aclnn_torch_adapter/*.cpp)
else()
file(GLOB VLLM_ASCEND_SRC
${CMAKE_CURRENT_SOURCE_DIR}/csrc/*.cpp
${CMAKE_CURRENT_SOURCE_DIR}/csrc/aclnn_torch_adapter/*.cpp
${CMAKE_CURRENT_SOURCE_DIR}/csrc/batch_matmul_transpose/op_host/tiling/tiling_data.cpp)
endif()
include_directories(
${pybind11_INCLUDE_DIRS}
${PYTHON_INCLUDE_PATH}
${TORCH_INCLUDE_DIRS}
${TORCH_NPU_PATH}/include
${ASCEND_HOME_PATH}/include
${ASCEND_HOME_PATH}/aarch64-linux/include/experiment/platform
${ASCEND_HOME_PATH}/x86_64-linux/include/experiment/platform
${CMAKE_CURRENT_SOURCE_DIR}/csrc/batch_matmul_transpose/op_host
)
set(
INCLUDES
${TORCH_INCLUDE_DIRS}
${TORCH_NPU_INCLUDE_DIRS}
${ASCEND_HOME_PATH}/include
${ASCEND_HOME_PATH}/aarch64-linux/include/experiment/platform
${ASCEND_HOME_PATH}/x86_64-linux/include/experiment/platform
)
pybind11_add_module(vllm_ascend_C ${VLLM_ASCEND_SRC})
target_link_directories(
vllm_ascend_C
PRIVATE
${TORCH_LIBRARY_DIRS}
${TORCH_NPU_PATH}/lib/
${ASCEND_HOME_PATH}/lib64
)
target_link_libraries(
vllm_ascend_C
PUBLIC
${TORCH_LIBRARIES}
torch_npu
vllm_ascend_kernels
ascendcl
tiling_api
register
platform
ascendalog
dl
opapi
)
target_link_options(vllm_ascend_C PRIVATE "-Wl,-rpath,$ORIGIN:$ORIGIN/lib:$ORIGIN/_cann_ops_custom/vendors/vllm-ascend/op_api/lib")
install(TARGETS vllm_ascend_C vllm_ascend_kernels DESTINATION ${VLLM_ASCEND_INSTALL_PATH})