Method for optimizing deep learning operator, device and storage medium

An electronic device, comprising:

• an image processor, a processor, and a memory configured to store instructions executable by the processor;
• wherein, the processor is configured to:
• call a method of reading an image object to read target data from an L1 cache of an image processor to the processor in response to detecting the target data in the L1 cache, wherein the target data includes data to be inputted into a current network layer of a neural network model and the target data is fixed-point data obtained after performing a quantization operation on data to be quantized in advance, and the data to be quantized is one of the following:
• float-point data of an initial network layer of the neural network model and fixed-point data outputted from a network layer previous to the current network layer;
• perform a secondary quantization operation on the target data in the processor to obtain an operation result;
• and
• write the operation result into a main memory of the image processor.

A non-transitory computer readable storage medium having computer programs stored thereon, wherein the computer programs are executed by a processor to perform:

• calling a method of reading an image object to read target data from an L1 cache of an image processor to the processor in response to detecting the target data in the L1 cache, wherein the target data includes data to be inputted into a current network layer of a neural network model and the target data is fixed-point data obtained after performing a quantization operation on data to be quantized in advance, and the data to be quantized is one of the following:
• float-point data of an initial network layer of the neural network model and fixed-point data outputted from a network layer previous to the current network layer;
• performing a secondary quantization operation on the target data in the processor to obtain an operation result;
• and
• writing the operation result into a main memory of the image processor