During its PyTorch Developer Day conference, Meta (formerly Facebook) announced PyTorch Live, a set of tools designed to make AI-powered experiences for mobile devices easier. PyTorch Live offers ...

Using Mobile Interpreter, we are targeting at the compressed size below 4 MB and uncompressed size below 8MB," the PyTorch project notes. Mobile app developers can also use the TorchVision library ...

Here are some interesting ways PyTorch is used by Facebook and Instagram developers: PyTorch Mobile, a compact ML framework for Android and iOS, powers Facebook’s AR experiences based on Oculus ...

The PyTorch team is making a number of updates to support MLflow usage and provide support for mobile and ARM64 architecture. The team held its first PyTorch Developer Day yesterday to provide ...

PyTorch Mobile for iOS and Android devices launched last fall as part of the rollout of PyTorch 1.3, with speed gains coming from quantization, Google TPU support, and a JIT compiler upgrade.

The addition of support for PyTorch, first built by Facebook Inc., means that thousands more developers will be able to leverage the Android Neural Network application programming interface’s ...

On Thursday the developers of PyTorch announced PyTorch Mobile, which they say will allow for "end-to-end workflow from Python to deployment on iOS and Android." PyTorch Mobile is part of PyTorch 1.3, ...