PyTorch 1.3 comes with speed gains from quantization and TPU support

Facebook today released the latest version of its deep learning library PyTorch with quantization and Google Cloud TPU support for speedier training of machine learning models. Tensor processing unit support begins with the ability to train a model with a single chip and will later be extended to Cloud Pods, Facebook CTO Mike Schroepfer said today. Also new today are PyTorch Mobile for deployment of ML on edge devices starting with Android and iOS devices; CryptTen, a tool for encrypted machine learning; and Captum, a tool for explainability of machine learning models. The news is being announced at the PyTorch Developer Conference today at The Midway in San Francisco. Available today, PyTorch 1.3 comes with the ability to quantize a model for inference on to either server or mobile devices.