mirror of
https://github.com/ikawrakow/ik_llama.cpp.git
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154e0d75fc
* Merging mainline - WIP * Merging mainline - WIP AVX2 and CUDA appear to work. CUDA performance seems slightly (~1-2%) lower as it is so often the case with llama.cpp/ggml after some "improvements" have been made. * Merging mainline - fix Metal * Remove check --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
34 lines
749 B
CMake
34 lines
749 B
CMake
# TODO: should not use this
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if (WIN32)
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if (BUILD_SHARED_LIBS)
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set(CMAKE_WINDOWS_EXPORT_ALL_SYMBOLS ON)
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endif()
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endif()
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#
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# libraries
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#
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# llama
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add_library(llama
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../include/llama.h
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llama.cpp
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llama-vocab.cpp
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llama-grammar.cpp
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llama-sampling.cpp
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unicode.h
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unicode.cpp
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unicode-data.cpp
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)
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target_include_directories(llama PUBLIC . ../include)
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target_compile_features (llama PUBLIC cxx_std_11) # don't bump
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target_link_libraries(llama PUBLIC ggml)
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if (BUILD_SHARED_LIBS)
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set_target_properties(llama PROPERTIES POSITION_INDEPENDENT_CODE ON)
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target_compile_definitions(llama PRIVATE LLAMA_SHARED LLAMA_BUILD)
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endif()
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