mlx/mlx/backend/cuda/CMakeLists.txt
2025-06-16 18:49:32 -07:00

121 lines
4.9 KiB
CMake

# Filename rules in cuda backend:
#
# * Use .cu/.cuh if code contains device code, and .cpp/.h if not.
# * Device-only code should be put in device/ subdir.
# * Files in device/ subdir should not include files outside.
target_sources(
mlx
PRIVATE ${CMAKE_CURRENT_SOURCE_DIR}/allocator.cpp
${CMAKE_CURRENT_SOURCE_DIR}/arg_reduce.cu
${CMAKE_CURRENT_SOURCE_DIR}/binary.cu
${CMAKE_CURRENT_SOURCE_DIR}/binary_two.cu
${CMAKE_CURRENT_SOURCE_DIR}/compiled.cpp
${CMAKE_CURRENT_SOURCE_DIR}/copy.cu
${CMAKE_CURRENT_SOURCE_DIR}/copy/copy_contiguous.cu
${CMAKE_CURRENT_SOURCE_DIR}/copy/copy_general.cu
${CMAKE_CURRENT_SOURCE_DIR}/copy/copy_general_dynamic.cu
${CMAKE_CURRENT_SOURCE_DIR}/copy/copy_general_input.cu
${CMAKE_CURRENT_SOURCE_DIR}/cuda.cpp
${CMAKE_CURRENT_SOURCE_DIR}/device.cpp
${CMAKE_CURRENT_SOURCE_DIR}/eval.cpp
${CMAKE_CURRENT_SOURCE_DIR}/event.cu
${CMAKE_CURRENT_SOURCE_DIR}/fence.cpp
${CMAKE_CURRENT_SOURCE_DIR}/jit_module.cpp
${CMAKE_CURRENT_SOURCE_DIR}/indexing.cpp
${CMAKE_CURRENT_SOURCE_DIR}/kernel_utils.cu
${CMAKE_CURRENT_SOURCE_DIR}/matmul.cpp
${CMAKE_CURRENT_SOURCE_DIR}/layer_norm.cu
${CMAKE_CURRENT_SOURCE_DIR}/logsumexp.cu
${CMAKE_CURRENT_SOURCE_DIR}/primitives.cu
${CMAKE_CURRENT_SOURCE_DIR}/random.cu
${CMAKE_CURRENT_SOURCE_DIR}/reduce.cu
${CMAKE_CURRENT_SOURCE_DIR}/reduce/col_reduce.cu
${CMAKE_CURRENT_SOURCE_DIR}/reduce/row_reduce.cu
${CMAKE_CURRENT_SOURCE_DIR}/reduce/segmented_reduce.cu
${CMAKE_CURRENT_SOURCE_DIR}/rms_norm.cu
${CMAKE_CURRENT_SOURCE_DIR}/rope.cu
${CMAKE_CURRENT_SOURCE_DIR}/slicing.cpp
${CMAKE_CURRENT_SOURCE_DIR}/softmax.cu
${CMAKE_CURRENT_SOURCE_DIR}/sort.cu
${CMAKE_CURRENT_SOURCE_DIR}/ternary.cu
${CMAKE_CURRENT_SOURCE_DIR}/unary.cu
${CMAKE_CURRENT_SOURCE_DIR}/utils.cpp
${CMAKE_CURRENT_SOURCE_DIR}/worker.cpp)
target_compile_definitions(mlx PRIVATE MLX_USE_CUDA)
# Embed kernel sources in binary for JIT compilation.
file(
GLOB MLX_JIT_SOURCES
RELATIVE ${CMAKE_CURRENT_SOURCE_DIR}
"${CMAKE_CURRENT_SOURCE_DIR}/device/*.h"
"${CMAKE_CURRENT_SOURCE_DIR}/device/*.cuh")
string(JOIN ":" MLX_JIT_SOURCES_ARG ${MLX_JIT_SOURCES})
add_custom_command(
OUTPUT gen/cuda_jit_sources.h
COMMAND
${CMAKE_COMMAND} -DMLX_SOURCE_ROOT=${CMAKE_CURRENT_SOURCE_DIR}
-DMLX_JIT_SOURCES=${MLX_JIT_SOURCES_ARG} -P
"${CMAKE_CURRENT_SOURCE_DIR}/bin2h.cmake"
DEPENDS bin2h.cmake ${MLX_JIT_SOURCES})
add_custom_target(cuda_jit_sources DEPENDS gen/cuda_jit_sources.h)
add_dependencies(mlx cuda_jit_sources)
target_include_directories(mlx PRIVATE "${CMAKE_CURRENT_BINARY_DIR}/gen")
# Enable defining device lambda functions.
target_compile_options(mlx
PRIVATE "$<$<COMPILE_LANGUAGE:CUDA>:--extended-lambda>")
# CUDA 12.8 emits warning #20280-D for copy kernels which is a false positive.
# Explicitly pass this flag to suppress the warning, it is safe to set it to
# true but the warning wouldn't be suppressed.
if(CMAKE_CUDA_COMPILER_VERSION VERSION_GREATER_EQUAL 12.8.0)
target_compile_options(
mlx
PRIVATE "$<$<COMPILE_LANGUAGE:CUDA>:--static-global-template-stub=false>")
endif()
# Suppress warning when building for compute capability 7 used by V100.
target_compile_options(
mlx PRIVATE "$<$<COMPILE_LANGUAGE:CUDA>:--Wno-deprecated-gpu-targets>")
# Compute capability 7 is required for synchronization between CPU/GPU with
# managed memory. TODO: Add more architectures for potential performance gain.
set(MLX_CUDA_ARCHITECTURES
"70;80"
CACHE STRING "CUDA architectures")
message(STATUS "CUDA architectures: ${MLX_CUDA_ARCHITECTURES}")
set_target_properties(mlx PROPERTIES CUDA_ARCHITECTURES
"${MLX_CUDA_ARCHITECTURES}")
# Use fixed version of CCCL.
FetchContent_Declare(
cccl
URL "https://github.com/NVIDIA/cccl/releases/download/v2.8.1/cccl-v2.8.1.zip")
FetchContent_MakeAvailable(cccl)
target_include_directories(mlx BEFORE PRIVATE "${cccl_SOURCE_DIR}/include")
# Use fixed version of NVTX.
FetchContent_Declare(
nvtx3
GIT_REPOSITORY https://github.com/NVIDIA/NVTX.git
GIT_TAG v3.1.1
GIT_SHALLOW TRUE
SOURCE_SUBDIR c EXCLUDE_FROM_ALL)
FetchContent_MakeAvailable(nvtx3)
target_link_libraries(mlx PUBLIC $<BUILD_INTERFACE:nvtx3-cpp>)
# Make cuda runtime APIs available in non-cuda files.
find_package(CUDAToolkit REQUIRED)
target_include_directories(mlx PRIVATE ${CUDAToolkit_INCLUDE_DIRS})
# Use cublasLt.
target_link_libraries(mlx PRIVATE CUDA::cublasLt)
# Use NVRTC and driver APIs.
target_link_libraries(mlx PRIVATE CUDA::nvrtc CUDA::cuda_driver)
# Suppress nvcc warnings on MLX headers.
target_compile_options(mlx PRIVATE $<$<COMPILE_LANGUAGE:CUDA>:-Xcudafe
--diag_suppress=997>)