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PyTorch GPU Support for ShapeWorks

ShapeWorks deep learning tools, such as the DeepSSMUtils package, requires PyTorch with GPU support. This is installed with the rest of the ShapeWorks Anaconda environment using install_shapeworks. It selects the most recent stable release of PyTorch which can be found at

When the Anaconda enironment is created using install_shapeworks, PyTorch with GPU support is installed if the system's current CUDA driver version is supported. Otherwise it selects the CPU version of PyTorch.

Checking if PyTorch installation has GPU support

To check if your shapeworks environment has PyTorch with GPU support, run the following:

conda activate shapeworks
>>> import torch
>>> print(torch.cuda.is_available())
>>> exit()
If torch.cuda.is_available() is True then PyTorch has GPU support, otherwise the CPU version was installed. If torch cannot be imported than PyTorch was not installed to the shapeworks environment.

Reinstalling the Correct PyTorch Version

If you find that your system requires an older version of PyTorch or install_shapeworks did not correcty find your CUDA version, the following steps explain how to install a different PyTorch version in the shapeworks conda environment.

Detailed instructions about the different ways to install PyTorch can be found here: PyTorch Getting Started

CUDA compatibility can be checked here: CUDA-Compatibility

  1. If the CPU version of PyTorch was installed, that first needs to be uninstalled. To uninstall run:
    conda activate shapeworks
    pip uninstall torch torchvision torchaudio
  2. Check which CUDA version is installed on your system using one of the methods explained here: How to check CUDA version
  3. Install the correct PyTorch to shapeworks environment using:

    pip install torch===1.7.1+cu<VERSION> torchvision===0.8.2+cu<VERSION> torchaudio===0.7.2 -f
    Where VERSION is your CUDA version with no dot (such as 92 for 9.2 or 110 for 11.0).

  4. Restart your system and check if shapeworks now has PyTorch with GPU support using the instructions above.