US 2019/0318231 A1 · METHOD FOR ACCELERATION OF A NEURAL NETWORK MODEL OF AN ELECTRONIC EUQIPMENT AND A DEVICE THEREOF RELATED APPLICTION INFORMATION

Abstract

A method is provided for hardware acceleration of a neural network model of an electronic equipment and a device thereof. The method includes: obtaining data to be identified and a configuration parameter for the neural network model of the first electronic equipment; proceeding the hardware acceleration of a convolution calculation matched with the neural network model of the first electronic equipment for the data to be identified according to the configuration parameter, and generating a convolution result of the neural network model of the first electronic equipment for the data to be identified. The invention can support a neural network model established by various open source development environments, and also support a user-defined neural network model; when the algorithm of the neural network model is updated, only the parameters of the first electronic device need to be reconfigured without changing the hardware.

Claims15

Dependent claims

A method for hardware acceleration of a neural network model of a first electronic equipment, comprising:

obtaining data to be identified and a configuration parameter for the neural network model of the first electronic equipment;
proceeding the hardware acceleration of a convolution calculation matched with the neural network model of the first electronic equipment for the data to be identified according to the configuration parameter, and generating a convolution result of the neural network model of the first electronic equipment for the data to be identified;
and
proceeding the hardware acceleration of a function calculation for the convolution result by calling one or more function modules which match with the neural network model of the first electronic equipment from at least one function module which preset according to the configuration parameter, and generating a recognition result of the neural network model of the first electronic equipment for the data to be identified.

1 more element

A device for hardware acceleration of a neural network model of a first electronic equipment, comprising:

an acquisition module, used for obtaining data to be identified and a configuration parameter of the neural network model of the first electronic equipment;
a convolution calculation module, used for proceeding the hardware acceleration of a convolution calculation matched with the neural network model of the first electronic equipment for the data to be identified according to the configuration parameter, and generating a convolution result of the neural network model of the first electronic equipment for the data to be identified;
and
a function calculation module, used for proceeding the hardware acceleration of a function calculation for the convolution result by calling one or more function modules which match with the neural network model of the first electronic equipment from at least one function module which preset according to the configuration parameter, and generating a recognition result of the neural network model of the first electronic equipment for the data to be identified.

1 more element

Dependencies are inferred from the claim text.

Method for acceleration of a neural network model of an electronic euqipment and a device thereof related appliction information

Life of this patent

Method for acceleration of a neural network model of an electronic euqipment and a device thereof related appliction information

Life of this patent

Abstract

Claims15