mirror of
https://github.com/llvm/llvm-project.git
synced 2025-04-16 08:46:33 +00:00
64f7e1b697
The configure Python script was removed by d6e0e6d255a7d54a3873b7a5d048eee00ef6bb6d / https://reviews.llvm.org/D69966. The readme was never updated with the cmake way to do it. I couldn't find any dedicated buildbots for this so I'm making an educated guess. This is what built locally for me.
libclc ------ libclc is an open source implementation of the library requirements of the OpenCL C programming language, as specified by the OpenCL 1.1 Specification. The following sections of the specification impose library requirements: * 6.1: Supported Data Types * 6.2.3: Explicit Conversions * 6.2.4.2: Reinterpreting Types Using as_type() and as_typen() * 6.9: Preprocessor Directives and Macros * 6.11: Built-in Functions * 9.3: Double Precision Floating-Point * 9.4: 64-bit Atomics * 9.5: Writing to 3D image memory objects * 9.6: Half Precision Floating-Point libclc is intended to be used with the Clang compiler's OpenCL frontend. libclc is designed to be portable and extensible. To this end, it provides generic implementations of most library requirements, allowing the target to override the generic implementation at the granularity of individual functions. libclc currently supports PTX, AMDGPU, SPIRV and CLSPV targets, but support for more targets is welcome. Compiling and installing ------------------------ (in the following instructions you can use make or ninja) For an in-tree build, Clang must also be built at the same time: $ cmake <path-to>/llvm-project/llvm/CMakeLists.txt -DLLVM_ENABLE_PROJECTS="libclc;clang" \ -DCMAKE_BUILD_TYPE=Release -G Ninja $ ninja Then install: $ ninja install Note you can use the DESTDIR Makefile variable to do staged installs. $ DESTDIR=/path/for/staged/install ninja install To build out of tree, or in other words, against an existing LLVM build or install: $ cmake <path-to>/llvm-project/libclc/CMakeLists.txt -DCMAKE_BUILD_TYPE=Release \ -G Ninja -DLLVM_DIR=$(<path-to>/llvm-config --cmakedir) $ ninja Then install as before. In both cases this will include all supported targets. You can choose which targets are enabled by passing `-DLIBCLC_TARGETS_TO_BUILD` to CMake. The default is "all". In both cases, the LLVM used must include the targets you want libclc support for (AMDGPU and NVPTX are enabled in LLVM by default). Apart from SPIRV where you do not need an LLVM target but you do need the llvm-spirv tool (https://github.com/KhronosGroup/SPIRV-LLVM-Translator) available. Either build this in-tree, or place it in the directory pointed to by `LLVM_TOOLS_BINARY_DIR`. Website ------- https://libclc.llvm.org/