ggml-guided-diffusion/CMakeLists.txt at main · vecnode/ggml-guided-diffusion · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
cmake_minimum_required(VERSION 3.10)

project(ggml-guided-diffusion VERSION 1.0 LANGUAGES C CXX)

set(CMAKE_CXX_STANDARD 17)
set(CMAKE_CXX_STANDARD_REQUIRED ON)
set(CMAKE_CXX_EXTENSIONS OFF)

if(NOT CMAKE_BUILD_TYPE)
    set(CMAKE_BUILD_TYPE Release)
endif()

set(CURRENT_FOLDER ${CMAKE_CURRENT_SOURCE_DIR})
set(SRC_FOLDER ${CURRENT_FOLDER}/src)
set(TESTS_FOLDER ${CURRENT_FOLDER}/tests)
set(GGML_FOLDER ${CURRENT_FOLDER}/libs/ggml)

find_package(OpenMP QUIET)

set(GGML_INSTALL_DIR "${GGML_FOLDER}/install" CACHE PATH "Path to the installed ggml prefix (produced by ./build_ggml.sh)")

if(NOT EXISTS "${GGML_INSTALL_DIR}/lib/cmake/ggml/ggml-config.cmake")
    message(FATAL_ERROR "Installed ggml not found at ${GGML_INSTALL_DIR}.\nRun ./build_ggml.sh (with --cuda if needed) before building the app.")
endif()

find_package(ggml CONFIG REQUIRED PATHS "${GGML_INSTALL_DIR}/lib/cmake/ggml" NO_DEFAULT_PATH)
message(STATUS "Using installed ggml from: ${GGML_INSTALL_DIR}")

# Detect whether the pre-built ggml was compiled with CUDA support.
# ggml does not export GGML_USE_CUDA as an interface definition, so we
# probe for the CUDA backend library directly.
if(EXISTS "${GGML_INSTALL_DIR}/lib/libggml-cuda.a" OR
   EXISTS "${GGML_INSTALL_DIR}/lib/libggml-cuda.so")
    set(GD_GGML_HAS_CUDA ON)
    message(STATUS "Detected CUDA-enabled ggml install — enabling GGML_USE_CUDA for app sources")
else()
    set(GD_GGML_HAS_CUDA OFF)
    message(STATUS "No CUDA backend in ggml install — building app in CPU-only mode")
endif()

set(CORE_SOURCES
    ${SRC_FOLDER}/diffusion_sampler.cpp
    ${SRC_FOLDER}/diffusion_scheduler.cpp
    ${SRC_FOLDER}/model_loader.cpp
    ${SRC_FOLDER}/pickle_parser.cpp
    ${SRC_FOLDER}/unet_forward.cpp
    ${SRC_FOLDER}/zip_archive.cpp
)

set(SOURCES
    ${SRC_FOLDER}/main.cpp
)

foreach(SOURCE ${SOURCES})
    if(NOT EXISTS ${SOURCE})
        message(FATAL_ERROR "Source file does not exist: ${SOURCE}")
    endif()
endforeach()

add_executable(${PROJECT_NAME} ${SOURCES})
target_compile_features(${PROJECT_NAME} PRIVATE cxx_std_17)
target_include_directories(${PROJECT_NAME} PRIVATE ${SRC_FOLDER})

add_library(gd-core STATIC ${CORE_SOURCES})
target_compile_features(gd-core PRIVATE cxx_std_17)
target_include_directories(gd-core PUBLIC ${SRC_FOLDER})
target_link_libraries(gd-core PUBLIC ggml::ggml)
if(GD_GGML_HAS_CUDA)
    target_compile_definitions(gd-core PUBLIC GGML_USE_CUDA)
    # ggml was compiled with CUDA 12.x; link against the same runtime to avoid
    # ABI mismatches with CUDA 11 system libraries.
    set(_cuda12_lib_dir "/usr/local/cuda-12.6/targets/x86_64-linux/lib")
    if(EXISTS "${_cuda12_lib_dir}/libcudart.so")
        target_link_libraries(gd-core PUBLIC
            "${_cuda12_lib_dir}/libcudart.so"
            "${_cuda12_lib_dir}/libcublas.so"
            "${_cuda12_lib_dir}/libcurand.so"
        )
        message(STATUS "Linking against CUDA 12.6 runtime from ${_cuda12_lib_dir}")
    else()
        find_package(CUDAToolkit REQUIRED)
        target_link_libraries(gd-core PUBLIC CUDA::cudart CUDA::cuda_driver CUDA::cublas CUDA::curand)
    endif()
endif()

target_link_libraries(${PROJECT_NAME} PRIVATE gd-core)

enable_testing()

add_executable(test-pickle-parser ${TESTS_FOLDER}/test_pickle_parser.cpp)
target_compile_features(test-pickle-parser PRIVATE cxx_std_17)
target_include_directories(test-pickle-parser PRIVATE ${SRC_FOLDER})
target_link_libraries(test-pickle-parser PRIVATE gd-core)

add_test(NAME test-pickle-parser COMMAND test-pickle-parser)