PyTorch Release Notes

These release notes describe the key features, software enhancements and improvements, known issues, and how to run this container for the 22.01 and earlier releases. The PyTorch framework enables you to develop deep learning models with flexibility. With the PyTorch framework, you can make full use of Python packages, such as, SciPy, NumPy, etc. The PyTorch framework is known to be convenient and flexible, with examples covering reinforcement learning, image classification, and machine translation as the more common use cases. The PyTorch container is released monthly to provide you with the latest NVIDIA deep learning software libraries and GitHub code contributions that have been sent upstream; which are all tested, tuned, and optimized.

To see a single view of the supported software and specific versions that come packaged with the frameworks based on the container image, see the Frameworks Support Matrix.

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