mirror of
https://github.com/capstone-engine/llvm-capstone.git
synced 2024-11-27 15:41:46 +00:00
1c1a810558
The script's shebang wants Python 3, so we use FindPython3. The
original code didn't work when an unversioned python was not available.
This is explicitly allowed in PEP 394. ("Distributors may choose to set
the behavior of the python command as follows: python2, python3, not
provide python command, allow python to be configurable by an end user
or a system administrator.")
Also I think it's actually required, so let the configuration fail if we
can't find it.
Lastly remove the shebang, since the script is only run via interpreter
and doesn't have the executable bit set anyway.
Reviewed By: jvesely
Differential Revision: https://reviews.llvm.org/D88366
|
||
|---|---|---|
| .. | ||
| amdgcn/lib | ||
| amdgcn-amdhsa/lib | ||
| amdgpu/lib | ||
| cmake | ||
| generic | ||
| ptx/lib | ||
| ptx-nvidiacl/lib | ||
| r600/lib | ||
| spirv/lib | ||
| spirv64/lib | ||
| test | ||
| utils | ||
| www | ||
| .gitignore | ||
| amdgcn-mesa3d | ||
| check_external_calls.sh | ||
| CMakeLists.txt | ||
| compile-test.sh | ||
| CREDITS.TXT | ||
| libclc.pc.in | ||
| LICENSE.TXT | ||
| README.TXT | ||
libclc ------ libclc is an open source, BSD licensed 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 only supports the PTX target, but support for more targets is welcome. Compiling and installing with Make ---------------------------------- $ ./configure.py --with-llvm-config=/path/to/llvm-config && make $ make install Note you can use the DESTDIR Makefile variable to do staged installs. $ make install DESTDIR=/path/for/staged/install Compiling and installing with Ninja ----------------------------------- $ ./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. $ DESTDIR=/path/for/staged/install ninja install Website ------- https://libclc.llvm.org/