Abstract: Deep learning accelerator (DLA) hardware performs task preemption. The DLA hardware executes a first task by using a neural network of multiple layers on a given input. In response to a stop command from a DLA driver to stop execution of the first task, the DLA hardware completes a current operation of the neural network and sending an interrupt request (IRQ) to the DLA driver. The DLA hardware then receives a second task from the DLA driver. The DLA hardware executes the second task to completion before resuming the execution of the first task.

Abstract: The present invention provides a color film and a method of forming the same. In some embodiments, only one titanium target is used, and a flowrate of nitrogen gas, a working pressure, a sputtering power and a sputtering time are adjusted, so as to form single-layered titanium oxynitride color films having different colors and thicknesses. The color film has satisfactory adhesivity, a flat surface and metallic luster.

Abstract: The present invention provides a color film and a method of forming the same. In some embodiments, only one titanium target is used, and a flowrate of nitrogen gas, a working pressure, a sputtering power and a sputtering time are adjusted, so as to form single-layered titanium oxynitride color films having different colors and thicknesses. The color film has satisfactory adhesivity, a flat surface and metallic luster.