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https://github.com/ml-explore/mlx.git
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84 lines
2.8 KiB
YAML
84 lines
2.8 KiB
YAML
name: 'Setup Linux Environment'
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description: 'Install dependencies for Linux builds'
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inputs:
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runner-type:
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description: 'Whether to set this up as a linux or CUDA runner'
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required: false
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default: 'linux'
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type: choice
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options:
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- linux
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- cuda
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python-version:
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description: 'Version of python to set up'
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required: false
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default: '3.10'
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runs:
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using: "composite"
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steps:
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- name: Free disk space
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shell: sh
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if: inputs.runner-type == 'linux'
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run: sudo rm -rf "$AGENT_TOOLSDIRECTORY"
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- name: Install common dependencies
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env:
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TZ: Etc/UTC
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shell: bash
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run: |
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sudo apt-get update
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sudo apt-get install -y libblas-dev liblapack-dev liblapacke-dev tzdata zip
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sudo apt autoremove -y
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- uses: actions/setup-python@v6
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with:
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python-version: ${{ inputs.python-version }}
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cache: 'pip'
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- name: setup python venv
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shell: bash
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run: |
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python -m venv .venv
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source .venv/bin/activate
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echo PATH=$PATH >> $GITHUB_ENV
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pip install --upgrade pip cmake
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- name: Install MPI
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if: inputs.runner-type == 'linux'
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shell: bash
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run: sudo apt-get install -y openmpi-bin openmpi-common libopenmpi-dev
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- name: Network CUDA installation from packages
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id: install-cuda
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if: inputs.runner-type == 'cuda'
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env:
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TZ: Etc/UTC
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shell: bash ## Specific to Ubuntu 22.04 & Architecture x86_64
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run: |
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wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
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sudo dpkg -i cuda-keyring_1.1-1_all.deb
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sudo apt-get update
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sudo apt-get install -y libcudnn9-dev-cuda-12 libnccl2 libnccl-dev cuda-toolkit-12-9
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# Note: This installs CUDA 12.9, which is the latest supported by cuDNN 9.x and works with the NVidia 570 drivers
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# cuda-toolkit by itself installs version 13 (+) and requires updated drives (580+), which require a reboot to function properly.
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# Compatibility matrix: https://docs.nvidia.com/deeplearning/cudnn/backend/latest/reference/support-matrix.html
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# This also drops `nvcc` into `/usr/local/cuda-12.9/bin/nvcc` - but it's *not* on the default PATH
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- name: Package and Driver Report
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if: inputs.runner-type == 'cuda'
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shell: bash
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run: |
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sudo apt-get install -y ubuntu-drivers-common dkms
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echo "NVIDIA Driver Packages Available:"
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sudo ubuntu-drivers list --gpgpu
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echo "NVIDIA Driver Version:"
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cat /proc/driver/nvidia/version || echo "nvidia driver not found"
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echo "Installed NVIDIA and CUDA packages:"
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dpkg -l | egrep "cuda|nvidia" -i
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echo "DKMS Status:"
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dkms status || echo "dkms not found"
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echo "NVIDIA-SMI Status:"
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nvidia-smi || echo "nvidia-smi not found"
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