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mlx/.github/actions/setup-linux/action.yml
Cheng 940f4c7818
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Fix building with CUDA < 12.8 (#2782)
2025-11-18 12:55:19 +09:00

86 lines
3.0 KiB
YAML

name: 'Setup Linux Environment'
description: 'Install dependencies for Linux builds'
inputs:
toolkit:
description: 'Which toolkit to install'
required: false
default: 'cpu'
python-version:
description: 'Version of python to set up'
required: false
default: '3.10'
runs:
using: "composite"
steps:
- name: Use ccache
uses: hendrikmuhs/ccache-action@v1.2
with:
key: ccache-${{ runner.os }}-${{ runner.arch }}-${{ inputs.toolkit }}-py${{ inputs.python-version }}
max-size: 1GB
- name: Install common dependencies
shell: bash
run: |
sudo apt-get update
sudo apt-get install -y libblas-dev liblapack-dev liblapacke-dev zip
- uses: actions/setup-python@v6
with:
python-version: ${{ inputs.python-version }}
- name: Setup Python venv
shell: bash
run: |
python -m venv .venv
source .venv/bin/activate
pip install setuptools cmake nanobind==2.4.0
echo PATH=$PATH >> $GITHUB_ENV
# Make cmake search .venv for nanobind
echo PYTHONPATH=`python -c 'import sys; print(sys.path[-1])'` >> $GITHUB_ENV
- name: Install MPI
shell: bash
run: sudo apt-get install -y openmpi-bin openmpi-common libopenmpi-dev
- name: Install CUDA toolkit
if: ${{ startsWith(inputs.toolkit, 'cuda') }}
shell: bash
env:
# Note: the CI machine does not meet CUDA 13's driver requirement.
# Compatibility matrix:
# https://docs.nvidia.com/deeplearning/cudnn/backend/latest/reference/support-matrix.html
# The `nvcc` is installed into `/usr/local/cuda-VERSION/bin/nvcc` - but
# it's *not* on the default toolkit path.
PACKAGES: |
{
"cuda-12.6": "libcudnn9-dev-cuda-12 cuda-toolkit-12-6",
"cuda-12.9": "libcudnn9-dev-cuda-12 cuda-toolkit-12-9",
"cuda-13.0": "libcudnn9-dev-cuda-13 cuda-toolkit-13-0"
}
run: |
export ARCH=${{ runner.arch == 'arm64' && 'arm64' || 'x86_64' }}
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/$ARCH/cuda-keyring_1.1-1_all.deb
sudo dpkg -i cuda-keyring_1.1-1_all.deb
sudo apt-get update
sudo apt-get install -y \
libnccl2 libnccl-dev \
${{ fromJson(env.PACKAGES)[inputs.toolkit] }}
- name: CUDA packages and driver report
if: ${{ startsWith(inputs.toolkit, 'cuda') }}
shell: bash
run: |
sudo apt-get install -y ubuntu-drivers-common dkms
echo "NVIDIA Driver Packages Available:"
sudo ubuntu-drivers list --gpgpu
echo "NVIDIA Driver Version:"
cat /proc/driver/nvidia/version || echo "nvidia driver not found"
echo "Installed NVIDIA and CUDA packages:"
dpkg -l | egrep "cuda|nvidia" -i
echo "DKMS Status:"
dkms status || echo "dkms not found"
echo "NVIDIA-SMI Status:"
nvidia-smi || echo "nvidia-smi not found"