Android Neural Networks API 1.3 and PyTorch Mobile support
Posted by Oli Gaymond, Product Manager Android Machine Learning On-Device Machine Learning enables cutting edge features to run locally without transmitting data to a server. Processing the data on-device enables lower latency, can improve privacy and allows features to work without connectivity. Achieving the best performance and power efficiency requires taking advantage of all available hardware. Android Neural Networks API 1.3 The Android Neural Networks API (NNAPI) is designed for running computationally intensive operations for machine learning on Android devices. It provides a single set of APIs to benefit from available hardware accelerators including GPUs, DSPs and NPUs. In Android 11, we released Neural Networks API 1.3 adding support for Quality of Service APIs, Memory Domains and expanded quantization support. This release builds on the comprehensive support for over 100 operations, floating point and quantized data types and hardware implementations from partners acro...