Halide is a programming language designed to make it easier to write high-performance image and array processing code on modern machines. Halide currently targets:
- CPU architectures: X86, ARM, Hexagon, PowerPC, RISC-V
- Operating systems: Linux, Windows, macOS, Android, iOS, Qualcomm QuRT
- GPU Compute APIs: CUDA, OpenCL, Apple Metal, Microsoft Direct X 12, Vulkan
Rather than being a standalone programming language, Halide is embedded in Python. This means you write Python code that builds an in-memory representation of a Halide pipeline using Halide's Python API. You can then compile this representation to an object file, or JIT-compile it and run it in the same process.
Requires regular, GIL-enabled CPython 3.12 or newer. The compiler and runtime
extensions use nanobind and ship cp312-abi3 wheels, reusable on newer regular
CPython versions. Free-threaded Python is not supported.
Install the complete Python and native toolchain with:
pip install halide
uv add halide
This distribution depends on matching versions of halide-bin, which provides
the compiler and C++ development files, and halide-runtime, which provides the
standalone halide.runtime API. Package managers install both automatically.
For a small deployment that only calls precompiled AOT kernels, install
halide-runtime directly instead.
Using Halide from C++
Halide is also available as a C++ library. This package provides the development
files necessary to use Halide from C++, including a CMake package. On Linux and
macOS, CMake's find_package command should find Halide as long as you're in
the same virtual environment you installed it in. On Windows, you will need to
add the virtual environment root directory to CMAKE_PREFIX_PATH. This can be
done by running set CMAKE_PREFIX_PATH=%VIRTUAL_ENV% in cmd.
Other build systems can find the Halide root path by running
python -c "import halide; print(halide.install_dir())".
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Release files for halide 22.0.0.post3
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Release files / halide-22.0.0.post3-cp312-abi3-win_amd64.whl
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