Data processing method and device, electronic device and readable storage medium

A technology of data and model data, applied in the field of neural network, can solve the problem of low operation rate

Active Publication Date: 2019-05-14
CAMBRICON TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In short, the current layer-by-layer forward operation method of the neural network has the problem of low operation rate.

Method used

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  • Data processing method and device, electronic device and readable storage medium
  • Data processing method and device, electronic device and readable storage medium
  • Data processing method and device, electronic device and readable storage medium

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Embodiment Construction

[0064] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0065] The data processing method provided by this application can be applied to electronic equipment with neural network processing functions such as motherboards and computer equipment. The electronic equipment can be isomorphic electronic equipment or heterogeneous electronic equipment. For example, refer to Figure 1a As shown, the electronic device may include a first processor 11 , a second processor 12 and a memory 13 . Wherein the first processor 11 and the second processor 12 can be but not limited to be a kind of combination in following various combinations: CPU ...

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Abstract

The invention relates to a data processing method and device, an electronic device and a readable storage medium, and the method comprises: carrying out the division of a processed target neural network, and enabling the target neural network to comprise at least one sub-network. With the adoption of the method, the compilation and operation of the sub-network can be carried out at least. The dataprocessing method provided by the embodiment of the invention only needs one input operation and one output operation, and is more efficient and the operation rate is improved compared with separatecompilation operation, required multiple input operations and multiple output operations on a plurality of network layers in the sub-network.

Description

technical field [0001] The present application relates to the technical field of neural networks, in particular to a data processing method, device, electronic equipment and readable storage medium. Background technique [0002] Deep learning is generally divided into two processes: training and reasoning. The training process is used to search and solve the optimal parameters of the neural network model; the reasoning process is used to reason about the new input data based on the trained neural network model. That is, forward operation to obtain the target output. [0003] At present, the forward operation process of the neural network model based on deep learning frameworks such as caffe is compiled and operated by the processor for each layer of the neural network layer by layer, that is, the operation of each layer is a separate operation, and each layer All operations require at least one input copy and at least one output copy. [0004] In short, the current layer-b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/04G06N3/063
CPCG06N3/08G06N3/063G06N5/04G06F8/41G06N3/045G06F7/08G06F2207/4824G06N3/105G06N3/082G06N3/04
Inventor 不公告发明人
Owner CAMBRICON TECH CO LTD
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