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Data activation method and fpga data activation system

A technology for activating systems and data, applied in the field of deep learning, which can solve problems such as large resources, occupying FPGA, and increasing costs

Active Publication Date: 2021-04-23
SHANGHAI ANLOGIC INFOTECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, applying the Leaky ReLU function directly to the FPGA will occupy a large amount of FPGA resources during data activation and increase costs.

Method used

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Embodiment Construction

[0026] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the present invention. Obviously, the described embodiments are part of the present invention Examples, not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention. Unless otherwise defined, the technical terms or scientific terms used herein shall have the usual meanings understood by those skilled in the art to which the present invention belongs. As used herein, "comprising" and similar words mean that the elements or items appearing before the word include the elements or items listed after the word and their equivalents, without excluding other el...

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Abstract

The present invention provides a data activation method, which is applied to FPGA data activation, including judging whether the received initial data is smaller than a threshold, and if the initial data is smaller than the threshold, shifting the initial data to obtain activation data. The data activation method replaces the Leaky ReLU function through the shifting process, which reduces the occupation of FPGA resources, thereby reducing the cost. The invention also provides an FPGA data activation system for realizing the data activation method.

Description

technical field [0001] The invention relates to the technical field of deep learning, in particular to a data activation method and an FPGA data activation system. Background technique [0002] Most of the current neural network applications are based on the processor platform, using large servers or high-end computers to complete the training and inference of the neural network, and some applications place the training process on the processor platform, while the inference The process is placed on the mobile platform. Under the requirements of reducing cost and reducing volume, the use of embedded development will become the first choice. [0003] In embedded development, it is relatively inefficient to use a digital signal processor (DSP) and ARM processor to process the huge amount of data of the neural network, and there is also a problem of heat dissipation. However, a dedicated ASIC chip requires a relatively long time period and high product costs. Therefore, the u...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/063
CPCG06N3/063
Inventor 马成森边立剑
Owner SHANGHAI ANLOGIC INFOTECH CO LTD