Batch processing method, device and equipment and storage medium

Abstract

The invention discloses a batch processing method, device and equipment and a storage medium, and the method comprises the steps: obtaining batch data and an instruction stream, and enabling an instruction of the instruction stream to comprise an execution flag bit; selecting a target instruction of which the state information corresponding to the execution flag bit meets an executable standard from instructions of the instruction stream; and executing batch processing operation on the batch data according to the target instruction. According to the method, the operation equipment is relatively prevented from executing redundant instructions which do not correspond to the data in the batch data, so that the reliability of batch processing operation is ensured. In addition, the invention further provides a batch processing device and equipment and a storage medium, and the beneficial effects are the same as described above.

Description

Technical field [0001] This application relates to the field of deep learning, in particular to a batch processing method, device, equipment and storage medium. Background technique [0002] Convolutional Neural Networks (CNN) is a type of Feedforward Neural Networks (Feedforward Neural Networks) that includes convolution calculations and has a deep structure. It is one of the representative algorithms of deep learning. [0003] In the current batch processing process based on convolutional neural networks, user software is required to provide the computing device with batch data to be processed and instructions for processing the batch data, and then the computing device executes the corresponding batch processing according to the instructions for the batch data to be processed Operation to achieve feature extraction of batch data. Because in the current batch processing scenario, the batch data initiated by the user software to the computing device contains multiple pieces of da...

AI Technical Summary

Problems solved by technology

In the current batch processing scenario, the batch data initiated by the user software to the computing device contains multiple pieces of data, and the batch processing operation of the computing device needs to be executed based on the corresponding instruction for each piece of data, but the current instruction flow initiated by the user software is It is pre-generated and contains a fixed number of instructions, while the number of data items in the batch data initiated by the current user software is often flexible and changeable according to the actual situation, so it may cause the computing device to execute instructions that do not correspond to the data in the batch data. Redundant instructions, making it difficult to ensure the reliability of batch operations

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