A streaming execution method and device

Abstract

The invention discloses a stream execution method and apparatus. The method comprises a preprocessing step of obtaining an instruction descriptor stream, a layer optimization step of optimizing the instruction descriptor stream, and an instruction stream construction step of constructing an instruction stream according to the optimized instruction descriptor stream.

Description

Technical field [0001] The present invention relates to the technical field of artificial neural networks, and more specifically to a stream execution method and device, used in a neural network processor. Background technique [0002] Deep learning is a branch of machine learning, which attempts to use multiple processing layers consisting of complex structures or multiple nonlinear transformations to perform high-level abstract algorithms on data. [0003] Deep learning is a method of machine learning based on characterization learning of data. Observations (for example, an image) can be expressed in a variety of ways, such as a vector of the intensity value of each pixel, or more abstractly expressed as a series of edges, regions of specific shapes, and so on. It is easier to learn tasks from examples (for example, face recognition or facial expression recognition) using certain specific representation methods. [0004] There have been several deep learning frameworks, such as d...

AI Technical Summary

Problems solved by technology

However, due to its unique internal architecture design, the simple sequential splicing of too small atomic operations cannot give full play to its hardware performance.

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