VernonDSL

VernonDSL is a tensor-first Python language and MLIR compiler for GPU graphics and compute. A restricted, statically typed Python frontend lowers through shared semantic IR into target-specific CPU, CUDA, Vulkan, OpenGL, DirectX, and Metal artifacts.

For an end-to-end explanation of the language, compiler backends, Runtime/RHI, ExecutionGraph, and offline cooking model, see ARCHITECTURE.md.

from typing import Annotated

import vernon_dsl as vd

WIDTH = 640
HEIGHT = 320


@vd.func
def complex_square(z: vd.Vector[vd.f32, 2]) -> vd.Vector[vd.f32, 2]:
    return vd.Vector([z[0] ** 2 - z[1] ** 2, z[1] * z[0] * 2])


@vd.kernel(workgroup_size=(16, 16, 1))
def paint(
    pixels: vd.TensorView[vd.f32, (vd.dyn, vd.dyn), vd.write],
    time: vd.f32,
    gid: Annotated[vd.Tensor[vd.u32, (3,)], vd.builtin("global_invocation_id")],
) -> None:
    x = gid[0]
    y = gid[1]
    if x < WIDTH and y < HEIGHT:
        c = vd.Vector([-0.8, vd.cos(time) * 0.2])
        z = vd.Vector(
            [
                (vd.f32(x) / vd.f32(HEIGHT) - 1.0) * 2.0,
                (vd.f32(y) / vd.f32(HEIGHT) - 0.5) * 2.0,
            ]
        )
        iterations = 0
        while vd.norm(z) < 20.0 and iterations < 50:
            z = complex_square(z) + c
            iterations += 1
        pixels[y, x] = 1.0 - vd.f32(iterations) * 0.02


vd.init(arch=vd.cuda)
pixels = vd.storage.zeros(dtype=vd.f32, shape=(HEIGHT, WIDTH))
paint(pixels, 0.0, grid=(WIDTH, HEIGHT, 1))
image = pixels.to_numpy()

The current stable release is 0.1.1. It supports CPython 3.11 through 3.14 on Windows x64, Linux x64, and Apple Silicon macOS. The frontend remains language version 3 while the v4 roadmap is developed. See the 0.1.1 release notes, PUBLIC_API.md, and COMPATIBILITY.md for the supported surface and compatibility contract.

Demos

Julia Set _{Tensor compute, structured control flow, and device readback}
Ray-marched Terrain	Animated Mandelbulb

The Julia Set showcases tensor compute. Terrain and Mandelbulb exercise real-time fragment pipelines, ray marching, texture sampling, mathematical intrinsics, offscreen rendering, and host readback.

From a source checkout, install the example dependency and run an interactive 60 FPS presentation:

$env:PYTHONPATH = "$PWD/python"
uv sync --extra examples --frozen

uv run --frozen --no-sync python examples/terrain_showcase.py `
  --arch vulkan --preset showoff --fps 60

uv run --frozen --no-sync python examples/mandelbulb_showcase.py `
  --arch vulkan --preset showoff --fps 60

Press Escape or Q to exit. Use --arch directx or --arch opengl on Windows when Vulkan is unavailable. The presenter targets the requested frame rate; actual throughput depends on the GPU, driver, image size, and readback cost. Use --preset smoke --headless for fast acceptance checks.

Install from PyPI

Prebuilt wheels are provided for Windows x64, Linux x64, and Apple Silicon macOS 15 or newer for CPython 3.11 through 3.14:

py -m pip install vernon-lang==0.1.1

VernonDSL 0.1.1 is wheel-only. Intel macOS, source distributions, PyPy, and other Python versions are not published.

Verify the installation:

py -c "from importlib.metadata import version; print(version('vernon-lang'))"
vernon-compile-python --help
vernon-cook-pipeline --help

The wheel contains the Vernon compiler, CPU Runtime, and the native backend implementations supported by its platform. It does not bundle GPU drivers. Runtime availability therefore depends on the selected backend:

CPU: compute reference execution with no additional system dependency;
CUDA: compute with a compatible NVIDIA driver;
Vulkan: compute and offscreen graphics with a loader and vendor ICD;
DirectX 12: compute and offscreen graphics using Windows and its GPU driver;
OpenGL: compute and graphics through a compatible system context;
OpenGL ES: compute and graphics through a compatible owned or external context;
Metal: compute and offscreen graphics through the system framework on supported Apple Silicon Macs, with no additional loader.

Cooked MSL bundles are consumed by the Runtime on Apple. Metal presentation and swapchain management are outside the 0.1.1 contract. Argument-buffer pipelines fail explicitly when the selected device cannot provide the required tier or encoder.

CPU graphics, CUDA images and samplers, f16/f64 vertex attributes, non-relaxed atomics, asynchronous dispatch, and multiple frames in flight are outside the supported 0.1.1 subset. See RELEASE_NOTES.md for the complete release contract.

Optional Vulkan setup

macOS

Metal is the zero-install GPU backend on macOS. Vulkan is optional because macOS does not provide it natively. To use Vulkan, install the Khronos loader and MoltenVK ICD with Homebrew:

brew install molten-vk vulkan-loader

Vernon also searches Homebrew locations under /opt/homebrew and /usr/local. VERNON_VULKAN_LOADER may name the installed Khronos loader dylib; do not point it directly at MoltenVK.

Linux

Linux users need only the driver stack for the backend they select. For Vulkan on Ubuntu or Debian, install the loader and an appropriate vendor ICD. Mesa provides Intel, AMD, and software Vulkan drivers:

sudo apt-get update
sudo apt-get install --yes libvulkan1 mesa-vulkan-drivers

NVIDIA systems should install the matching proprietary driver instead of relying on Mesa for the device ICD.

Loader discovery

Vulkan is discovered when the Runtime creates a device. Vernon tries VERNON_VULKAN_LOADER, a loader under VULKAN_SDK, and the platform loader name.

VERNON_ENABLE_VULKAN_RUNTIME controls whether Vulkan support is included in the build. It does not indicate that a loader, ICD, or usable device is present on the machine running Vernon. Device creation reports the attempted loader locations and Vulkan initialization error when runtime discovery fails.

Cook deployable artifacts

Declare a persistent asset beside its shader stages:

mesh_asset = vd.pipeline_asset(
    id="pipeline/mesh",
    program=(mesh_vertex, mesh_fragment),
    variants=((), (INSTANCE,), (SKIN,), (INSTANCE, SKIN)),
)

Cook it for a deployment target without importing or executing the source module:

vernon-cook-pipeline examples/variant_mesh.py:mesh_asset `
  --target vulkan `
  -o build/variant_mesh

For a CPU compute asset:

vernon-cook-pipeline python/tests/pipeline_asset_fixture.py:scale_asset `
  --target cpu `
  -o build/cpu_scale

The output contains a versioned *.pipeline.json manifest and content-addressed files under artifacts/. Depending on the target, artifacts are SPIR-V, GLSL/ESSL, DXIL, PTX, Metal source, LLVM IR, or relocatable CPU objects. Cooked Metal bundles contain MSL consumed by the Runtime on Apple. Missing variants and unsupported target combinations fail explicitly rather than silently falling back.

Pipeline sources, MLIR, manifests, shader artifacts, native objects, and caches are executable input, not sandboxed data. Do not compile or load untrusted artifacts without isolation; see SECURITY.md.

When working from a source checkout where tool.uv.package = false, invoke the cooker as a module:

$env:PYTHONPATH = "$PWD/python"
uv run --frozen --no-sync python -m vernon_dsl.pipeline_asset_cli `
  examples/variant_mesh.py:mesh_asset --target vulkan -o build/variant_mesh

Build from source

Source and wheel builds are continuously tested on Windows, Linux, and macOS. Required tools:

Git, CMake, and a platform C++ toolchain;
Visual Studio 2022 C++ tools and the Windows SDK on Windows;
Python 3.11 through 3.14 and uv;
the repository's pinned llvm-project submodule.

For a full Ubuntu or Debian source-build and graphics-test environment, install the same native packages used by Linux CI:

sudo apt-get update
sudo apt-get install --yes \
  ninja-build patchelf pkg-config \
  libvulkan1 mesa-vulkan-drivers \
  libgl1-mesa-dev libegl1-mesa-dev \
  libwayland-dev libxkbcommon-dev wayland-protocols \
  xorg-dev xvfb

Initialize the repository and build the pinned LLVM/MLIR installation once:

git submodule update --init --depth 1 llvm-project
python scripts/configure_llvm.py --build

The helper selects the LLVM target for the host architecture and reuses the generator recorded in an existing build directory. Otherwise it selects Visual Studio 2022 on Windows, Ninja when available, or Unix Makefiles. CUDA/NVPTX is enabled when libdevice.10.bc is found through CUDA_PATH, CUDA_HOME, CUDAToolkit_ROOT, CONDA_PREFIX, nvcc, or the vendored llvm-project/nvidia-nvcc directory. Use --cuda off to disable CUDA or --cuda on --libdevice PATH to require it. Omit --build to configure only; run python scripts/configure_llvm.py --help for all overrides.

Build VernonDSL:

On macOS:

mkdir osx_build
cd osx_build
cmake ..
cmake --build . --parallel
ctest --output-on-failure

On Linux:

mkdir linux_build
cd linux_build
cmake ..
cmake --build . --parallel
ctest --output-on-failure

On Windows PowerShell:

mkdir windows_build
cd windows_build
cmake ..
cmake --build . --config Release --parallel
ctest -C Release --output-on-failure

CMake runs the frozen uv sync, uses MLIR and LLD from llvm-project/install, selects the synchronized Python interpreter and host compiler architecture, and disables runtime backends unsupported by the target platform and architecture. Single-configuration generators default to Release. Tests and the staged-file formatting Git hook are enabled by default. Each setting remains available as a -D override.

CMake places the development _native and _gl_context modules in python/vernon_dsl/. Source-checkout Python commands therefore use PYTHONPATH=python and uv run --frozen --no-sync.

Build a release wheel:

uv build --python 3.11 --wheel --no-cache --clear
uvx --from twine twine check dist/*.whl

On macOS, set MACOSX_DEPLOYMENT_TARGET=15.0 for the supported arm64 wheel, matching the release CI.

Clean wheel builds fetch pinned third-party CMake dependencies. They can take several minutes on the first run.

Run tests

Run the Python suite:

$env:PYTHONPATH = "$PWD/python"
uv run --frozen --no-sync pytest python/tests -q

Run native tests:

ctest --test-dir osx_build -C Release --output-on-failure

Use linux_build or windows_build instead when following the corresponding platform build example above.

Run the release coverage gates:

$env:PYTHONPATH = "$PWD/python"
uv run --frozen --no-sync coverage erase
uv run --frozen --no-sync coverage run -m pytest python/tests -q
uv run --frozen --no-sync coverage json -o coverage.json
uv run --frozen --no-sync python scripts/check_python_coverage.py coverage.json

Run GPU-optional showcase acceptance:

$env:PYTHONPATH = "$PWD/python"
uv run --frozen --no-sync python scripts/run_showcase_smoke.py `
  --output-dir build/showcase-smoke `
  --summary build/showcase-smoke/summary.json

Unavailable GPU backends are reported as explicit skips. Use --required when every requested backend must execute.

Run examples

All source examples use the same development environment:

$env:PYTHONPATH = "$PWD/python"
uv sync --extra examples --frozen

Headless showcase output:

uv run --frozen --no-sync python examples/terrain_showcase.py `
  --arch vulkan --preset showoff --headless `
  --output build/terrain.png --result-json build/terrain.json

uv run --frozen --no-sync python examples/mandelbulb_showcase.py `
  --arch vulkan --preset showoff --headless `
  --output build/mandelbulb.png --result-json build/mandelbulb.json

Compute-rendered Julia set:

uv run --frozen --no-sync python examples/fractal.py --arch cuda
uv run --frozen --no-sync python examples/fractal.py --arch vulkan
uv run --frozen --no-sync python examples/fractal.py `
  --emit-metal build/fractal.metal

End-to-end compute and graphics pipeline:

uv run --frozen --no-sync python examples/complete_pipeline.py `
  --arch vulkan --frames 3 --headless `
  --output build/complete-color.png `
  --id-output build/complete-object-id.png

More examples and their third-party attributions are documented in examples/README.md.

Future roadmap

The post-0.1.1 roadmap includes:

finish and accept the language-v4 contract, including first-order pure-function autodiff;
broaden repeatable hardware-backed GPU acceptance;
design the ABI change required for asynchronous dispatch and deferred multi-frame resource reclamation;
replace the remaining temporary compiler bridges tracked in the completion roadmap.

Release support and security reporting are documented in SUPPORT.md and SECURITY.md. Published wheel, checksum, SBOM, and provenance requirements are documented in RELEASE_ARTIFACTS.md.

License

VernonDSL is licensed under the Apache License 2.0. Third-party notices for adapted showcase shaders are retained under examples/.

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Aug 2, 2026 12 files

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