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PyTorch plugin.

Project description

This plugin provides an interface between D-Wave’s quantum-classical hybrid solvers and the PyTorch framework, including a Torch neural network module for building and training Boltzmann Machines along with various sampler utility functions.

License

Released under the Apache License 2.0. See LICENSE file.

Contributing

Ocean’s contributing guide has guidelines for contributing to Ocean packages.

Release Notes

dwave-pytorch-plugin uses reno to manage its release notes.

When making a contribution to dwave-pytorch-plugin that will affect users, create a new release note file by running

reno new your-short-descriptor-here

You can then edit the file created under releasenotes/notes/. Remove any sections not relevant to your changes. Commit the file along with your changes.

See reno’s user guide for details.

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