  The promise of Deep Neural Network (DNN) powered Internet of Thing (IoT)
devices has motivated a tremendous demand for automated solutions to enable
fast development and deployment of efficient (1) DNNs equipped with
instantaneous accuracy-efficiency trade-off capability to accommodate the
time-varying resources at IoT devices and (2) dataflows to optimize DNNs'
execution efficiency on different devices. Therefore, we propose InstantNet to
automatically generate and deploy instantaneously switchable-precision networks
which operate at variable bit-widths. Extensive experiments show that the
proposed InstantNet consistently outperforms state-of-the-art designs.
