Model reasoning method and device based on graphic rendering pipeline and storage medium

Abstract

The invention provides a model reasoning method and device based on a graphic rendering pipeline and a storage medium. The method comprises the steps of obtaining an instruction stream in a renderingthread; extracting and storing texture data information from the instruction stream, wherein the texture data information comprises texture data; inputting the texture data information into a GPU rendering pipeline of a graphic processor, wherein the GPU rendering pipeline is used for conducting reasoning based on a GPU model on the texture data to obtain a reasoning result of the texture data, wherein the GPU model is a model running in a GPU. Model reasoning of the texture data is achieved, conversion between the texture data and other forms of data types is avoided, and then IO memory expenditure is reduced.

Description

technical field

[0001] The present invention relates to the field of computer technology, in particular to a model reasoning method, device, storage medium and the like based on a graphics rendering pipeline. Background technique

[0002] With the continuous iteration of hardware devices on mobile terminals, more and more mobile applications integrate artificial intelligence (AI) functions, making mobile terminals more intelligent and providing users with more natural and humanized services. In terms of images and videos, applications such as face recognition, scene recognition, text recognition, and image super-resolution provide mobile terminals with core functional support such as secure unlocking, reading retrieval, and video beautification. The basis of AI functions usually depends on the reasoning platform of the neural network. Then, in terms of hardware computing power, it also changes from the central processing unit (Central Processing Unit, CPU), graphics processi...

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