Stream execution method and apparatus

An execution method and execution device technology, applied in the field of artificial neural network, can solve problems such as inability to give full play to hardware performance, and achieve the effect of efficient function reconstruction

Active Publication Date: 2017-06-13
SHANGHAI CAMBRICON INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to its unique internal architecture design, the simple sequential splic

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  • Stream execution method and apparatus

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[0017] Some embodiments of the present invention will be described more fully in the following with reference to the accompanying drawings, and some but not all of the embodiments will be shown. In fact, various embodiments of the present invention can be implemented in many different forms, and should not be construed as being limited to the embodiments described in this number; relatively, the provision of these embodiments enables the present invention to meet applicable legal requirements.

[0018] In this specification, the following various embodiments for describing the principle of the present invention are merely illustrative, and should not be construed as limiting the scope of the present invention in any way. The following description with reference to the accompanying drawings is used to help a comprehensive understanding of exemplary embodiments of the present invention defined by the claims and their equivalents. The following description includes a variety of spec...

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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 particularly relates to a stream execution method and device for neural network processors. Background technique [0002] Deep learning is a branch of machine learning that attempts to perform high-level abstractions on data using algorithms that contain complex structures or multiple processing layers consisting of multiple nonlinear transformations. [0003] Deep learning is a method based on representation learning of data in machine learning. Observations (such as an image) can be represented in a variety of ways, such as a vector of intensity values ​​for each pixel, or more abstractly as a series of edges, regions of a specific shape, etc. Whereas it is easier to learn tasks from examples (e.g., face recognition or facial expression recognition) using some specific representations. [0004] So far, there have been several deep learning frameworks, such ...

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Application Information

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IPC IPC(8): G06N3/04G06F9/38
CPCG06F9/3867G06N3/04
Inventor 陈云霁李韦杜子东郭崎陈天石
Owner SHANGHAI CAMBRICON INFORMATION TECH CO LTD
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