mirror of
https://github.com/nomic-ai/gpt4all.git
synced 2024-10-01 01:06:10 -04:00
d2a99d9bc6
* rebase onto llama.cpp commit ggerganov/llama.cpp@d46dbc76f * support for CUDA backend (enabled by default) * partial support for Occam's Vulkan backend (disabled by default) * partial support for HIP/ROCm backend (disabled by default) * sync llama.cpp.cmake with upstream llama.cpp CMakeLists.txt * changes to GPT4All backend, bindings, and chat UI to handle choice of llama.cpp backend (Kompute or CUDA) * ship CUDA runtime with installed version * make device selection in the UI on macOS actually do something * model whitelist: remove dbrx, mamba, persimmon, plamo; add internlm and starcoder2 Signed-off-by: Jared Van Bortel <jared@nomic.ai>
162 lines
5.4 KiB
CMake
162 lines
5.4 KiB
CMake
cmake_minimum_required(VERSION 3.16)
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set(CMAKE_WINDOWS_EXPORT_ALL_SYMBOLS ON)
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set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
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if (APPLE)
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option(BUILD_UNIVERSAL "Build a Universal binary on macOS" ON)
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else()
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option(LLMODEL_KOMPUTE "llmodel: use Kompute" ON)
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option(LLMODEL_VULKAN "llmodel: use Vulkan" OFF)
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option(LLMODEL_CUDA "llmodel: use CUDA" ON)
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option(LLMODEL_ROCM "llmodel: use ROCm" OFF)
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endif()
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if (APPLE)
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if (BUILD_UNIVERSAL)
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# Build a Universal binary on macOS
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# This requires that the found Qt library is compiled as Universal binaries.
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set(CMAKE_OSX_ARCHITECTURES "arm64;x86_64" CACHE STRING "" FORCE)
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else()
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# Build for the host architecture on macOS
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if (NOT CMAKE_OSX_ARCHITECTURES)
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set(CMAKE_OSX_ARCHITECTURES "${CMAKE_HOST_SYSTEM_PROCESSOR}" CACHE STRING "" FORCE)
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endif()
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endif()
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endif()
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# Include the binary directory for the generated header file
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include_directories("${CMAKE_CURRENT_BINARY_DIR}")
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set(LLMODEL_VERSION_MAJOR 0)
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set(LLMODEL_VERSION_MINOR 5)
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set(LLMODEL_VERSION_PATCH 0)
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set(LLMODEL_VERSION "${LLMODEL_VERSION_MAJOR}.${LLMODEL_VERSION_MINOR}.${LLMODEL_VERSION_PATCH}")
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project(llmodel VERSION ${LLMODEL_VERSION} LANGUAGES CXX C)
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set(CMAKE_CXX_STANDARD 20)
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set(CMAKE_CXX_STANDARD_REQUIRED ON)
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set(CMAKE_LIBRARY_OUTPUT_DIRECTORY ${CMAKE_RUNTIME_OUTPUT_DIRECTORY})
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set(BUILD_SHARED_LIBS ON)
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# Check for IPO support
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include(CheckIPOSupported)
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check_ipo_supported(RESULT IPO_SUPPORTED OUTPUT IPO_ERROR)
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if (NOT IPO_SUPPORTED)
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message(WARNING "Interprocedural optimization is not supported by your toolchain! This will lead to bigger file sizes and worse performance: ${IPO_ERROR}")
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else()
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message(STATUS "Interprocedural optimization support detected")
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endif()
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set(DIRECTORY llama.cpp-mainline)
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include(llama.cpp.cmake)
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set(BUILD_VARIANTS)
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set(GPTJ_BUILD_VARIANT cpu)
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if (APPLE)
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list(APPEND BUILD_VARIANTS metal)
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endif()
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if (LLMODEL_KOMPUTE)
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list(APPEND BUILD_VARIANTS kompute kompute-avxonly)
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set(GPTJ_BUILD_VARIANT kompute)
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else()
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list(PREPEND BUILD_VARIANTS cpu cpu-avxonly)
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endif()
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if (LLMODEL_VULKAN)
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list(APPEND BUILD_VARIANTS vulkan vulkan-avxonly)
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endif()
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if (LLMODEL_CUDA)
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include(CheckLanguage)
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check_language(CUDA)
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if (NOT CMAKE_CUDA_COMPILER)
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message(WARNING "CUDA Toolkit not found. To build without CUDA, use -DLLMODEL_CUDA=OFF.")
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endif()
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enable_language(CUDA)
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list(APPEND BUILD_VARIANTS cuda cuda-avxonly)
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endif()
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if (LLMODEL_ROCM)
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enable_language(HIP)
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list(APPEND BUILD_VARIANTS rocm rocm-avxonly)
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endif()
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set(CMAKE_VERBOSE_MAKEFILE ON)
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# Go through each build variant
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foreach(BUILD_VARIANT IN LISTS BUILD_VARIANTS)
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# Determine flags
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if (BUILD_VARIANT MATCHES avxonly)
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set(GPT4ALL_ALLOW_NON_AVX OFF)
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else()
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set(GPT4ALL_ALLOW_NON_AVX ON)
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endif()
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set(LLAMA_AVX2 ${GPT4ALL_ALLOW_NON_AVX})
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set(LLAMA_F16C ${GPT4ALL_ALLOW_NON_AVX})
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set(LLAMA_FMA ${GPT4ALL_ALLOW_NON_AVX})
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set(LLAMA_METAL OFF)
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set(LLAMA_KOMPUTE OFF)
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set(LLAMA_VULKAN OFF)
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set(LLAMA_CUDA OFF)
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set(LLAMA_ROCM OFF)
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if (BUILD_VARIANT MATCHES metal)
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set(LLAMA_METAL ON)
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elseif (BUILD_VARIANT MATCHES kompute)
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set(LLAMA_KOMPUTE ON)
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elseif (BUILD_VARIANT MATCHES vulkan)
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set(LLAMA_VULKAN ON)
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elseif (BUILD_VARIANT MATCHES cuda)
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set(LLAMA_CUDA ON)
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elseif (BUILD_VARIANT MATCHES rocm)
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set(LLAMA_HIPBLAS ON)
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endif()
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# Include GGML
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include_ggml(-mainline-${BUILD_VARIANT})
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# Function for preparing individual implementations
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function(prepare_target TARGET_NAME BASE_LIB)
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set(TARGET_NAME ${TARGET_NAME}-${BUILD_VARIANT})
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message(STATUS "Configuring model implementation target ${TARGET_NAME}")
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# Link to ggml/llama
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target_link_libraries(${TARGET_NAME}
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PRIVATE ${BASE_LIB}-${BUILD_VARIANT})
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# Let it know about its build variant
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target_compile_definitions(${TARGET_NAME}
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PRIVATE GGML_BUILD_VARIANT="${BUILD_VARIANT}")
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# Enable IPO if possible
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# FIXME: Doesn't work with msvc reliably. See https://github.com/nomic-ai/gpt4all/issues/841
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# set_property(TARGET ${TARGET_NAME}
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# PROPERTY INTERPROCEDURAL_OPTIMIZATION ${IPO_SUPPORTED})
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endfunction()
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# Add each individual implementations
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add_library(llamamodel-mainline-${BUILD_VARIANT} SHARED
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llamamodel.cpp llmodel_shared.cpp)
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target_compile_definitions(llamamodel-mainline-${BUILD_VARIANT} PRIVATE
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LLAMA_VERSIONS=>=3 LLAMA_DATE=999999)
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prepare_target(llamamodel-mainline llama-mainline)
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if (BUILD_VARIANT MATCHES ${GPTJ_BUILD_VARIANT})
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add_library(gptj-${BUILD_VARIANT} SHARED
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gptj.cpp utils.h utils.cpp llmodel_shared.cpp llmodel_shared.h)
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prepare_target(gptj llama-mainline)
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endif()
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if (BUILD_VARIANT STREQUAL cuda)
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set(CUDAToolkit_BIN_DIR ${CUDAToolkit_BIN_DIR} PARENT_SCOPE)
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endif()
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endforeach()
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add_library(llmodel
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llmodel.h llmodel.cpp llmodel_shared.cpp
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llmodel_c.h llmodel_c.cpp
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dlhandle.h
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)
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target_compile_definitions(llmodel PRIVATE LIB_FILE_EXT="${CMAKE_SHARED_LIBRARY_SUFFIX}")
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set_target_properties(llmodel PROPERTIES
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VERSION ${PROJECT_VERSION}
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SOVERSION ${PROJECT_VERSION_MAJOR})
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set(COMPONENT_NAME_MAIN ${PROJECT_NAME})
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set(CMAKE_INSTALL_PREFIX ${CMAKE_BINARY_DIR}/install)
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