[libclc] Add prepare-<triple> targets (#146700)
This target provides a unified build target for all devices under the
single triple. This way a user doesn't have to know device names to
build a specific target's bytecode libraries.
Device names may be considered as internal implementation details as
they are not exposed to users of CMake; users only specify triples to
build. Now, instead of `prepare-{barts,cayman,cedar,cypress}-r600--.bc`,
for example, a user may now build simply `prepare-r600--` and have all
four of those libraries built.
This commit also refactors the CMake somewhat. We were previously
diverging between the SPIR-V and other targets, and duplicating a bit of
logic like the creation of the 'prepare' targets, the targets'
properties, and the installation directory. It's cleaner and hopefully
more robust to share this code between all targets. This commit also
takes this opportunity to improve some comments around this code.
GitOrigin-RevId: 85d09de5fa19a32bbcc400928d55f9d633077640
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:
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.
(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 available. Either build this in-tree, or place it in the directory pointed to by LLVM_TOOLS_BINARY_DIR.