Making A Case For Machine Learning Compilers With MLIR

There is an urge, now, amongst the makers of smart devices to cater to the growing desires of their users to have devices which are heavy on specs while light on duty; accelerated hardware devices. Now the devices have human-like interactions, with vision and speech applications. Recently released TensorFlow Lite accommodates this lighter way of functioning via Android Neural networks API. This opens up a whole new paradigm of possibilities for on-device intelligence. TensorFlow's machine learning platform has a comprehensive, flexible ecosystem of tools, libraries and community resources.