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.

Many developers who use Python for machine learning are now switching to PyTorch. Find out why and what the future could hold for TensorFlow.

That’s what Facebook is trying to address in the latest release of PyTorch, with support for an “end-to-end workflow” from Python to deployment on iOS and Android.

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.