PyTorch 1.3 Release Adds Support for Mobile, Privacy, and Transparency


Facebook recently announced the release of PyTorch 1.3. The latest version of the open-source deep learning framework includes new tools for mobile, quantization, privacy, and transparency. Engineering director Lin Qiao took the stage at the recent PyTorch Developer Conference in San Francisco to highlight new features in the release, framing them with PyTorch's core principles of developer efficiency and building for scale. For building at scale, the release introduces new model quantization capabilities as well as support for mobile platforms and tensor-processing units (TPUs). Developer efficiency tools include tools for model transparency and data privacy.

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