================ @@ -23,29 +23,41 @@ generic implementations of most library requirements, allowing the target to override the generic implementation at the granularity of individual functions. -libclc currently only supports the PTX target, but support for more +libclc currently supports NVPTX, AMDGPU and SPIRV targets, but support for more targets is welcome. -Compiling and installing with Make ----------------------------------- +Compiling and installing +------------------------ -$ ./configure.py --with-llvm-config=/path/to/llvm-config && make -$ make install +(in the following instructions you can use make or ninja) -Note you can use the DESTDIR Makefile variable to do staged installs. +For an in-tree build, Clang must also be built at the same time: -$ make install DESTDIR=/path/for/staged/install +$ cmake <path-to>/llvm-project/llvm/CMakeLists.txt -DLLVM_ENABLE_PROJECTS="libclc;clang" \ + -DCMAKE_BUILD_TYPE=Release -G Ninja +$ ninja -Compiling and installing with Ninja ------------------------------------ +Then install: -$ ./configure.py -g ninja --with-llvm-config=/path/to/llvm-config && ninja $ ninja install -Note you can use the DESTDIR environment variable to do staged installs. +Note you can use the DESTDIR Makefile variable to do staged installs. $ DESTDIR=/path/for/staged/install ninja install +To build against an existing LLVM build or install: ---------------- DavidSpickett wrote:
Done. https://github.com/llvm/llvm-project/pull/111369 _______________________________________________ cfe-commits mailing list cfe-commits@lists.llvm.org https://lists.llvm.org/cgi-bin/mailman/listinfo/cfe-commits
