Installing PyTorch for Apple MPS with ConvTranspose3D Support

This guide provides step-by-step instructions for installing PyTorch with support for Apple Metal Performance Shaders (MPS) including ConvTranspose3D operations, which aren't available in the standard PyTorch distribution.

Prerequisites

• macOS with Apple Silicon (M1/M2/M3) or compatible GPU
• Python 3.7+
• Git

Installation Steps

1. Clone the PyTorch repository from GitHub:

git clone https://github.com/pytorch/pytorch

2. Install the specific CMake version required:

pip install cmake==3.26.4

3. Verify the CMake installation:

cmake --version

4. Navigate to the PyTorch directory:

cd pytorch

5. Fetch the specific pull request that adds ConvTranspose3D support for MPS:

git fetch origin pull/145366/head:ts_export

6. Checkout the branch with the necessary changes:

git checkout ts_export

7. Synchronize Git submodules:

git submodule sync

8. Initialize and update all submodules recursively:

git submodule update --init --recursive

9. Build and install PyTorch:

python setup.py install

Verification

To verify the installation has ConvTranspose3D support on MPS, you can run:

import torch
x = torch.randn(1, 3, 10, 10, 10).to('mps')
conv = torch.nn.ConvTranspose3d(3, 5, 3, stride=2, padding=1).to('mps')
output = conv(x)
print(f"Output shape: {output.shape}")

Notes

• The installation process can take significant time (30-60 minutes depending on your system).
• This builds PyTorch from source, so you'll need sufficient disk space (10+ GB).
• The specific pull request referenced adds support for ConvTranspose3D operations on Apple's MPS backend.

Troubleshooting

If you encounter build errors:

• Ensure you have Xcode Command Line Tools installed
• Make sure you're using the correct version of CMake
• Try increasing the resources allocated to the build with MAX_JOBS=8 before the install command