This repository was archived by the owner on Apr 6, 2026. It is now read-only.

Introducing a way to builder kernels for Windows platforms #12

	name: "Build and test kernel - Windows"
	on:
	push:
	branches: [main]
	pull_request:
	branches: [main]
	types: [opened, synchronize, reopened] # trigger on PRs
	workflow_dispatch:

	jobs:
	build:
	strategy:
	matrix:
	os: [ windows-2022 ]
	python: [ '3.12', '3.13' ]

	name: Build kernel
	runs-on: ${{ matrix.os }}

	steps:
	- uses: actions/cache@v4
	with:
	key: cuda-toolkit-${{ matrix.version }}-${{ matrix.os }}
	path: \|
	C:\Program Files\NVIDIA GPU Computing Toolkit
	~/.cargo/registry
	~/.cargo/git

	- uses: actions/checkout@v5

	# CUDA environment setup
	- uses: N-Storm/[email protected]
	id: setup-cuda-toolkit
	with:
	cuda: '12.9.1' # TODO(mfuntowicz): How can we test multiple CUDA versions than align with torch?
	- name: "NVCC checks"
	run: nvcc -V

	# Rust build environment setup
	- uses: actions-rs/toolchain@v1
	with:
	toolchain: stable
	profile: minimal
	override: true

	- name: Build build2cmake
	run: ( cd build2cmake && cargo build --release )

	# Python environment setup
	- uses: actions/setup-python@v6
	with:
	python-version: ${{ matrix.python }}
	cache: 'pip'

	- name: Install PyTorch
	run: pip install --index-url https://download.pytorch.org/whl/cu129

	- name: Build activation kernel
	run: ( .\build-driver\kbuilder.ps1 -SourceFolder examples/activation -BuildConfig Release -Backend cuda -Build -Force )
	# - name: Copy activation kernel
	# run: cp -rL examples/activation/build activation-kernel

Provide feedback