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Aug 12, 2025
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Document PyTorch 2.8 installation in README #496

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akihironitta Aug 9, 2025
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4 changes: 2 additions & 2 deletions .github/workflows/cuda/cu129-Windows.sh
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Expand Up @@ -6,8 +6,8 @@ curl -k -L "https://drive.google.com/u/0/uc?id=1injUyo3lnarMgWyRcXqKg4UGnN0ysmuq
7z x "/tmp/gpu_driver_dlls.zip" -o"/c/Windows/System32"

export CUDA_SHORT=12.9
export CUDA_URL=https://developer.download.nvidia.com/compute/cuda/${CUDA_SHORT}.0/local_installers
export CUDA_FILE=cuda_${CUDA_SHORT}.0_571.96_windows.exe
export CUDA_URL=https://developer.download.nvidia.com/compute/cuda/${CUDA_SHORT}.1/local_installers
export CUDA_FILE=cuda_${CUDA_SHORT}.1_576.57_windows.exe

# Install CUDA:
curl -k -L "${CUDA_URL}/${CUDA_FILE}" --output "${CUDA_FILE}"
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16 changes: 16 additions & 0 deletions README.md
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Expand Up @@ -45,6 +45,22 @@ All included operations are broadcastable, work on varying data types, are imple

We provide pip wheels for all major OS/PyTorch/CUDA combinations, see [here](https://data.pyg.org/whl).

#### PyTorch 2.8

To install the binaries for PyTorch 2.8.0, simply run

```
pip install torch-scatter -f https://data.pyg.org/whl/torch-2.8.0+${CUDA}.html
```

where `${CUDA}` should be replaced by either `cpu`, `cu126`, `cu128`, or `cu129` depending on your PyTorch installation.

| | `cpu` | `cu126` | `cu128` | `cu129` |
|-------------|-------|---------|---------|---------|
| **Linux** | ✅ | ✅ | ✅ | ✅ |
| **Windows** | ✅ | ✅ | ✅ | ✅ |
| **macOS** | ✅ | | | |

#### PyTorch 2.7

To install the binaries for PyTorch 2.7.0, simply run
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