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Actions: Attempt #2, fix CUDA dependency error #6

Actions: Attempt #2, fix CUDA dependency error

Actions: Attempt #2, fix CUDA dependency error #6

Workflow file for this run

name: Build Wheels & Release
on:
workflow_dispatch:
inputs:
release:
description: 'Release? 1 = yes, 0 = no'
default: '0'
required: true
type: string
permissions:
contents: write
jobs:
build_wheels:
name: ${{ matrix.os }} P${{ matrix.pyver }} C${{ matrix.cuda }} R${{ matrix.rocm }} T${{ matrix.torch }}
runs-on: ${{ matrix.os }}
defaults:
run:
shell: pwsh
strategy:
matrix:
include:
# Ubuntu 20.04 CUDA
# Python 3.10
- { artname: 'wheel', os: ubuntu-22.04, pyver: '3.10', cuda: '12.8.1', rocm: '', torch: '2.7.0', cudaarch: '8.0 8.6 8.9 9.0 10.0 12.0+PTX' }
# Python 3.11
- { artname: 'wheel', os: ubuntu-22.04, pyver: '3.11', cuda: '12.8.1', rocm: '', torch: '2.7.0', cudaarch: '8.0 8.6 8.9 9.0 10.0 12.0+PTX' }
# Python 3.12
- { artname: 'wheel', os: ubuntu-22.04, pyver: '3.12', cuda: '12.8.1', rocm: '', torch: '2.7.0', cudaarch: '8.0 8.6 8.9 9.0 10.0 12.0+PTX' }
# Python 3.13
- { artname: 'wheel', os: ubuntu-22.04, pyver: '3.13', cuda: '12.8.1', rocm: '', torch: '2.7.0', cudaarch: '8.0 8.6 8.9 9.0 10.0 12.0+PTX' }
# Windows 2022 CUDA
# Python 3.10
- { artname: 'wheel', os: windows-2022, pyver: '3.10', cuda: '12.8.1', rocm: '', torch: '2.7.0', cudaarch: '8.0 8.6 8.9 9.0 10.0 12.0+PTX' }
# Python 3.11
- { artname: 'wheel', os: windows-2022, pyver: '3.11', cuda: '12.8.1', rocm: '', torch: '2.7.0', cudaarch: '8.0 8.6 8.9 9.0 10.0 12.0+PTX' }
# Python 3.12
- { artname: 'wheel', os: windows-2022, pyver: '3.12', cuda: '12.8.1', rocm: '', torch: '2.7.0', cudaarch: '8.0 8.6 8.9 9.0 10.0 12.0+PTX' }
# Python 3.13
- { artname: 'wheel', os: windows-2022, pyver: '3.13', cuda: '12.8.1', rocm: '', torch: '2.7.0', cudaarch: '8.0 8.6 8.9 9.0 10.0 12.0+PTX' }
# sdist
- { artname: 'sdist', os: ubuntu-22.04, pyver: '3.11', cuda: '', rocm: '', torch: '2.7.0', cudaarch: '' }
fail-fast: false
steps:
#Free disk space
- name: Free Disk Space
uses: jlumbroso/[email protected]
if: runner.os == 'Linux'
with:
tool-cache: true
android: true
dotnet: true
haskell: true
large-packages: false
swap-storage: true
# Setup Python
- uses: actions/checkout@v4
# Get version string from package
- name: Get version string
id: package_version
run: |
$versionString = Get-Content $(Join-Path 'exllamav3' 'version.py') -raw
if ($versionString -match '__version__ = "(\d+\.(?:\d+\.?(?:dev\d+)?)*)"')
{
Write-Output $('::notice file=build-wheels-release.yml,line=200,title=Package Version::Detected package version is: {0}' -f $Matches[1])
Write-Output "PACKAGE_VERSION=$($Matches[1])" >> "$env:GITHUB_OUTPUT"
}
else
{
Write-Output '::error file=build-wheels-release.yml,line=203::Could not parse version from exllamav2/version.py! You must upload wheels manually!'
Write-Output "PACKAGE_VERSION=None" >> "$env:GITHUB_OUTPUT"
}
# Pin VS build tools to 17.9 for wider compat
- name: Install VS2022 BuildTools 17.9.7
run: choco install -y visualstudio2022buildtools --version=117.9.7.0 --params "--add Microsoft.VisualStudio.Component.VC.Tools.x86.x64 --installChannelUri https://aka.ms/vs/17/release/180911598_-255012421/channel"
if: runner.os == 'Windows'
# Install uv for easier python setup
- name: Install the latest version of uv and set the python version
uses: astral-sh/setup-uv@v5
with:
python-version: ${{ matrix.pyver }}
- name: Install Windows CUDA 12.8
if: runner.os == 'Windows' && contains(matrix.cuda, '12.8')
run: |
mkdir -p "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8"
choco install unzip -y
curl -fL -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_cudart/windows-x86_64/cuda_cudart-windows-x86_64-12.8.57-archive.zip"
curl -fL -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvcc/windows-x86_64/cuda_nvcc-windows-x86_64-12.8.61-archive.zip"
curl -fL -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvrtc/windows-x86_64/cuda_nvrtc-windows-x86_64-12.8.61-archive.zip"
curl -fL -O "https://developer.download.nvidia.com/compute/cuda/redist/libcublas/windows-x86_64/libcublas-windows-x86_64-12.8.3.14-archive.zip"
curl -fL -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvtx/windows-x86_64/cuda_nvtx-windows-x86_64-12.8.55-archive.zip"
curl -fL -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_profiler_api/windows-x86_64/cuda_profiler_api-windows-x86_64-12.8.55-archive.zip"
curl -fL -O "https://developer.download.nvidia.com/compute/cuda/redist/visual_studio_integration/windows-x86_64/visual_studio_integration-windows-x86_64-12.8.55-archive.zip"
curl -fL -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvprof/windows-x86_64/cuda_nvprof-windows-x86_64-12.8.57-archive.zip"
curl -fL -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_cccl/windows-x86_64/cuda_cccl-windows-x86_64-12.8.55-archive.zip"
curl -fL -O "https://developer.download.nvidia.com/compute/cuda/redist/libcusparse/windows-x86_64/libcusparse-windows-x86_64-12.5.7.53-archive.zip"
curl -fL -O "https://developer.download.nvidia.com/compute/cuda/redist/libcusolver/windows-x86_64/libcusolver-windows-x86_64-11.7.2.55-archive.zip"
curl -fL -O "https://developer.download.nvidia.com/compute/cuda/redist/libcurand/windows-x86_64/libcurand-windows-x86_64-10.3.9.55-archive.zip"
curl -fL -O "https://developer.download.nvidia.com/compute/cuda/redist/libcufft/windows-x86_64/libcufft-windows-x86_64-11.3.3.41-archive.zip"
unzip '*.zip' -d "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8"
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\cuda_cudart-windows-x86_64-12.8.57-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\cuda_nvcc-windows-x86_64-12.8.61-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\cuda_nvrtc-windows-x86_64-12.8.61-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\libcublas-windows-x86_64-12.8.3.14-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\cuda_nvtx-windows-x86_64-12.8.55-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\cuda_profiler_api-windows-x86_64-12.8.55-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\visual_studio_integration-windows-x86_64-12.8.55-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\cuda_nvprof-windows-x86_64-12.8.57-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\cuda_cccl-windows-x86_64-12.8.55-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\libcusparse-windows-x86_64-12.5.7.53-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\libcusolver-windows-x86_64-11.7.2.55-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\libcurand-windows-x86_64-10.3.9.55-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\libcufft-windows-x86_64-11.3.3.41-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8" /E /I /H /Y
echo "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\bin" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
echo "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\libnvvp" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
echo "CUDA_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8" | Out-File -FilePath $env:GITHUB_ENV -Append -Encoding utf8
echo "CUDA_PATH_V12_8=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8" | Out-File -FilePath $env:GITHUB_ENV -Append -Encoding utf8
# Attempt to pin nvidia-persistenced to exactly 570.148.08-1ubuntu1 until dependency issue is fixed in CUDA
# https://forums.developer.nvidia.com/t/nvidia-driver-570-installation-is-broken-again/335219
- name: Pin nvidia-persistenced 570.148.08
if: runner.os != 'Windows' && matrix.cuda != ''
run: |
echo 'Package: nvidia-persistenced
Pin: version 570.148.08-1ubuntu1
Pin-Priority: 1001' | sudo tee /etc/apt/preferences.d/99-nvidia-persistenced
sudo apt-get update
# TODO: Find specific sub-packages

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- name: Install Linux CUDA ${{ matrix.cuda }}
uses: Jimver/[email protected]
id: cuda-toolkit-Linux
with:
cuda: "${{ matrix.cuda }}"
linux-local-args: '["--toolkit"]'
method: "network"
if: runner.os != 'Windows' && matrix.cuda != ''
- name: Install CUDA build Dependencies
if: matrix.cuda != ''
id: cuda_deps
run: |
git config --system core.longpaths true
$cudaVersion = '${{ matrix.cuda }}'
$cudaVersionPytorch = '${{ matrix.cuda }}'.Remove('${{ matrix.cuda }}'.LastIndexOf('.')).Replace('.','')
Write-Output "CUDA_VERSION_PYTORCH=$cudaVersionPytorch" >> "$env:GITHUB_OUTPUT"
$pytorchIndexUrl = "https://download.pytorch.org/whl/cu$cudaVersionPytorch"
uv pip install torch==${{ matrix.torch }} --index-url $pytorchIndexUrl
uv pip install --upgrade build setuptools==69.5.1 wheel packaging ninja safetensors tokenizers numpy
- name: Build for CUDA
if: matrix.cuda != ''
run: |
# --- Spawn the VS shell
if ($IsWindows) {
Import-Module 'C:\Program Files (x86)\Microsoft Visual Studio\2022\BuildTools\Common7\Tools\Microsoft.VisualStudio.DevShell.dll'
Enter-VsDevShell -VsInstallPath 'C:\Program Files (x86)\Microsoft Visual Studio\2022\BuildTools' -DevCmdArguments '-arch=x64 -host_arch=x64'
$env:DISTUTILS_USE_SDK=1
}
# --- Build wheel
$BUILDTAG = "+cu${{ steps.cuda_deps.outputs.CUDA_VERSION_PYTORCH }}-torch${{ matrix.torch }}"
$env:BUILD_TARGET = "cuda"
$env:TORCH_CUDA_ARCH_LIST = '${{ matrix.cudaarch }}'
python -m build -n --wheel -C--build-option=egg_info "-C--build-option=--tag-build=$BUILDTAG"
# Build sdist
- name: Build sdist
if: matrix.cuda == '' && matrix.rocm == ''
run: |
# --- Install dependencies
uv pip install torch==${{ matrix.torch }} --index-url https://download.pytorch.org/whl/cpu
uv pip install --upgrade build setuptools==69.5.1 wheel packaging ninja safetensors tokenizers numpy
# --- Build wheel
$env:EXLLAMA_NOCOMPILE=1
python -m build -n
# Upload files
- name: Upload files to GitHub release
if: steps.package_version.outputs.PACKAGE_VERSION != 'None' && inputs.release == '1'
uses: svenstaro/[email protected]
with:
file: ./dist/*.whl
tag: ${{ format('v{0}', steps.package_version.outputs.PACKAGE_VERSION) }}
file_glob: true
overwrite: true
release_name: ${{ steps.package_version.outputs.PACKAGE_VERSION }}