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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 splicing of too small atomic operations cannot give full play to its hardware performance.

Method used

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  • Stream execution method and apparatus

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Embodiment Construction

[0017] Certain embodiments of the invention will be described more fully hereinafter with reference to the accompanying drawings, in which some, but not all embodiments are shown. Indeed, various embodiments of the invention may be embodied in many different forms and should not be construed as limited to these set forth embodiments; rather, these embodiments are provided so that this invention will satisfy applicable legal requirements.

[0018] In this specification, the various embodiments described below to describe the principles of the present invention are illustrative only and should not be construed as limiting the scope of the invention in any way. The following description with reference to the accompanying drawings is provided to assist in a comprehensive understanding of exemplary embodiments of the present invention as defined by the claims and their equivalents. The following description includes numerous specific details to aid in understanding, but these shoul...

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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 ...

Claims

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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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