Method and apparatus for forward computation of neural network, and computer-readable storage medium

An apparatus configured to perform data processing of at least one data processing layer in a neural network, the apparatus comprising:

• at least one memory configured to store program code;
• and
• at least one processor configured to read the program code and operate as instructed by the program code, the program code comprising:
• data obtaining code configured to cause at least one of the at least one processor to obtain input data and weight data of the at least one data processing layer;
• data storage code configured to cause at least one of the at least one processor to store the input data by using a first texture storage structure to obtain first texture data, and store the weight data by using a second texture storage structure to obtain second texture data, a plurality of data elements in the input data corresponding to a first index of the first texture data, a plurality of data elements in the weight data corresponding to a second index of the second texture data, the apparatus accessing data in the first texture data by using the first index as a unit and the second texture data by using the second index as a unit;
• and
• data processing code configured to cause at least one of the at least one processor perform data processing of the at least one data processing layer based on the first texture data and the second texture data, to obtain output data of the at least one data processing layer.

A non-transitory computer-readable storage medium, storing a computer program, the computer program being executable by at least one processor to cause the at least one processor to perform a method for forward computation of a neural network for data processing at least one data processing layer in the neural network, the method comprising:

• obtaining input data and weight data of the at least one data processing layer;
• storing the input data by using a first texture storage structure to obtain first texture data, a plurality of data elements in the input data corresponding to a first index of the first texture data, and the computer device accessing data in the first texture data by using the first index as a unit;
• storing the weight data by using a second texture storage structure to obtain second texture data, a plurality of data elements in the weight data corresponding to a second index of the second texture data, and the computer device accessing data in the second texture data by using the second index as a unit;
• and
• performing data processing of the at least one data processing layer based on the first texture data and the second texture data, to obtain output data of the at least one data processing layer.