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Support PyTorch 2.8 (#258)
Part of pyg-team/pytorch_geometric#10398.
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‎.github/workflows/building.yml‎

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strategy:
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fail-fast: false
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matrix:
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os: [ubuntu-22.04, macos-14, windows-2019, ubuntu-22.04-arm]
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os: [ubuntu-22.04, macos-14, windows-2022, ubuntu-22.04-arm]
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python-version: ['3.9', '3.10', '3.11', '3.12', '3.13']
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torch-version: [2.7.0] # [2.6.0]
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cuda-version: ['cpu', 'cu118', 'cu124', 'cu126', 'cu128']
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torch-version: [2.8.0]
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cuda-version: ['cpu', 'cu118', 'cu124', 'cu126', 'cu128', 'cu129']
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exclude:
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- torch-version: 2.6.0
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cuda-version: 'cu128'
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- torch-version: 2.6.0
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cuda-version: 'cu129'
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- torch-version: 2.7.0
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cuda-version: 'cu124'
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- torch-version: 2.7.0
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cuda-version: 'cu129'
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- torch-version: 2.8.0
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cuda-version: 'cu118'
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- torch-version: 2.8.0
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cuda-version: 'cu124'
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- os: macos-14
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cuda-version: 'cu118'
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cuda-version: 'cu126'
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- os: macos-14
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cuda-version: 'cu128'
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- os: macos-14
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cuda-version: 'cu129'
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- os: ubuntu-22.04-arm
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cuda-version: 'cu118'
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- os: ubuntu-22.04-arm
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cuda-version: 'cu126'
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- os: ubuntu-22.04-arm
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cuda-version: 'cu128'
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- os: ubuntu-22.04-arm
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cuda-version: 'cu129'
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steps:
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- uses: actions/checkout@v2
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- uses: actions/checkout@v4
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v2
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uses: actions/setup-python@v5
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with:
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python-version: ${{ matrix.python-version }}
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pip install wheel
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- name: Install scipy
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if: ${{ (matrix.python-version == '3.8') || (matrix.python-version == '3.9') }}
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if: ${{ matrix.python-version == '3.9' }}
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run: |
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pip install scipy==1.10.1
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‎.github/workflows/cuda/cu129-Linux-env.sh‎

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#!/bin/bash
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CUDA_HOME=/usr/local/cuda-12.9
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LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}
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PATH=${CUDA_HOME}/bin:${PATH}
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export FORCE_CUDA=1
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export TORCH_CUDA_ARCH_LIST="7.0;7.5;8.0;8.6;9.0;10.0;12.0+PTX"

‎.github/workflows/cuda/cu129-Linux.sh‎

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#!/bin/bash
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OS=ubuntu2204
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wget -nv https://developer.download.nvidia.com/compute/cuda/repos/${OS}/x86_64/cuda-${OS}.pin
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sudo mv cuda-${OS}.pin /etc/apt/preferences.d/cuda-repository-pin-600
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wget -nv https://developer.download.nvidia.com/compute/cuda/12.9.1/local_installers/cuda-repo-${OS}-12-9-local_12.9.1-575.57.08-1_amd64.deb
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sudo dpkg -i cuda-repo-${OS}-12-9-local_12.9.1-575.57.08-1_amd64.deb
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sudo cp /var/cuda-repo-${OS}-12-9-local/cuda-*-keyring.gpg /usr/share/keyrings/
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sudo apt-get -qq update
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sudo apt install cuda-nvcc-12-9 cuda-libraries-dev-12-9
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sudo apt clean
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rm -f *.deb

‎.github/workflows/cuda/cu129-Windows-env.sh‎

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#!/bin/bash
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CUDA_HOME=/c/Program\ Files/NVIDIA\ GPU\ Computing\ Toolkit/CUDA/v12.9
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PATH=${CUDA_HOME}/bin:$PATH
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PATH=/c/Program\ Files\ \(x86\)/Microsoft\ Visual\ Studio/2017/BuildTools/MSBuild/15.0/Bin:$PATH
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export FORCE_CUDA=1
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export TORCH_CUDA_ARCH_LIST="6.0+PTX"

‎.github/workflows/cuda/cu129-Windows.sh‎

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#!/bin/bash
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# Install NVIDIA drivers, see:
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# https://github.com/pytorch/vision/blob/master/packaging/windows/internal/cuda_install.bat#L99-L102
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curl -k -L "https://drive.google.com/u/0/uc?id=1injUyo3lnarMgWyRcXqKg4UGnN0ysmuq&export=download" --output "/tmp/gpu_driver_dlls.zip"
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7z x "/tmp/gpu_driver_dlls.zip" -o"/c/Windows/System32"
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export CUDA_SHORT=12.9
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export CUDA_URL=https://developer.download.nvidia.com/compute/cuda/${CUDA_SHORT}.1/local_installers
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export CUDA_FILE=cuda_${CUDA_SHORT}.1_576.57_windows.exe
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# Install CUDA:
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curl -k -L "${CUDA_URL}/${CUDA_FILE}" --output "${CUDA_FILE}"
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echo ""
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echo "Installing from ${CUDA_FILE}..."
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PowerShell -Command "Start-Process -FilePath \"${CUDA_FILE}\" -ArgumentList \"-s nvcc_${CUDA_SHORT} cuobjdump_${CUDA_SHORT} nvprune_${CUDA_SHORT} cupti_${CUDA_SHORT} cublas_dev_${CUDA_SHORT} cudart_${CUDA_SHORT} cufft_dev_${CUDA_SHORT} curand_dev_${CUDA_SHORT} cusolver_dev_${CUDA_SHORT} cusparse_dev_${CUDA_SHORT} thrust_${CUDA_SHORT} npp_dev_${CUDA_SHORT} nvrtc_dev_${CUDA_SHORT} nvml_dev_${CUDA_SHORT}\" -Wait -NoNewWindow"
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echo "Done!"
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rm -f "${CUDA_FILE}"

‎.github/workflows/linting.yml‎

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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v2
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- uses: actions/checkout@v4
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- name: Set up Python
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uses: actions/setup-python@v2
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uses: actions/setup-python@v5
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with:
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python-version: 3.8
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python-version: 3.9
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- name: Install dependencies
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run: |

‎.github/workflows/stale.yml‎

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runs-on: ubuntu-latest
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steps:
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- uses: actions/stale@v4.0.0
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- uses: actions/stale@v9
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with:
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stale-issue-message: 'This issue had no activity for **6 months**. It will be closed in **2 weeks** unless there is some new activity. Is this issue already resolved?'
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stale-issue-label: 'stale'

‎.github/workflows/testing.yml‎

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matrix:
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os: [ubuntu-latest, windows-latest]
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python-version: [3.9]
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torch-version: [2.6.0, 2.7.0]
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torch-version: [2.7.0, 2.8.0]
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steps:
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- uses: actions/checkout@v2
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- uses: actions/checkout@v4
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v2
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uses: actions/setup-python@v5
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with:
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python-version: ${{ matrix.python-version }}
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‎README.md‎

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We provide pip wheels for all major OS/PyTorch/CUDA combinations, see [here](https://data.pyg.org/whl).
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#### PyTorch 2.8
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To install the binaries for PyTorch 2.8.0, simply run
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```
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pip install torch-cluster -f https://data.pyg.org/whl/torch-2.8.0+${CUDA}.html
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```
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where `${CUDA}` should be replaced by either `cpu`, `cu126`, `cu128`, or `cu129` depending on your PyTorch installation.
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| | `cpu` | `cu126` | `cu128` | `cu129` |
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|-------------|-------|---------|---------|---------|
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| **Linux** | ✅ | ✅ | ✅ | ✅ |
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| **Windows** | ✅ | ✅ | ✅ | ✅ |
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| **macOS** | ✅ | | | |
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#### PyTorch 2.7
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To install the binaries for PyTorch 2.7.0, simply run

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