Halide

Release highlights

We have deliberately skipped version 20.0.0 to align with the LLVM version we are now using. Note that LLVM 21.1.1 or higher is required as LLVM 21.1.0 has a major bug in the NVPTX backend.

Major changes

• The rfactor scheduling directive was rewritten and enhanced. It is now compatible with autoschedulers.
• The Mullapudi2016 autoscheduler now supports experi...

Major improvements

• Halide is now available for both C++ and Python usage via Pip. Try pip install halide today!
• The Vulkan backend has matured substantially.
• The HTML "conceptual statement" output now supports dark mode viewing.
• For developers, CMake 3.28 is now required and we no longer require an internet connection during the build.
• Thread pool improvements mean that wor...

Changes Of Note since Halide 17

• Ring-buffering now supported in schedules (Func::ring_buffer()). This is distinct from fold_storage in that it folds across time (the loop variables) rather than folding across space (the pure vars of the Func).
• Fixed a longstanding bug in lossless_cast()
• Lots of fixes for Vulkan backend
• OpenGLCompute is no longer supported
• Added support for AR...

What's Changed

• Backport a fix for the simpler bug in lossless_cast by @abadams in https://github.com/halide/Halide/pull/8264
• Fix Vulkan SIMT mappings for GPU loop vars; avoid formatting the GPU kernel to a string for Vulkan (since it's binary SPIR-V needs to remain intact). @derek-gerstmann in https://github.com/halide/Halide/pull/8270

Full Changelog: https://github.com/halide/Hali...

What's Changed

• Changes to make WebGPU code compliant with recent versions of Emscripten (#8106)
• Fix rfactor adding too many pure loops (#8107)
• Forward the partition methods from generator outputs (#8090)
• Fix reduce_expr_modulo of vector in Solve.cpp (#8107)

Full Changelog: https://github.com/halide/Halide/compare/v17.0.0...v17.0.1