Data processing method and apparatus, and related product for increased efficiency of tensor processing

A data processing method for increased efficiency of tensor processing, comprising:

• obtaining, by a controller, content of a descriptor from a descriptor storage space according to an identifier of the descriptor included, in an operand of a first processing instruction, wherein the content of the descriptor includes a shape vector that indicates a multi-dimensional shape of tensor data on which the first processing instruction is to be executed;
• and
• receiving, by a processing circuit from the controller, the content of the descriptor and the first processing instruction;
• obtaining, by the processing circuit, the tensor data from a data storage space based on the content of the descriptor;
• and
• executing, by the processing circuit, the first processing instruction on the tensor data.

A board card for increased efficiency of tensor processing, comprising:

• a storage device configured to store data:
• a neural network chip;
• an interface apparatus configured to implement data transmission between the neural network chip and an external equipment;
• and
• a control device configured to monitor a state of the neural network chip, wherein the neural network chip comprises:
• a controller configured to obtain content of a descriptor from a descriptor storage space according to an identifier of the descriptor included, in an operand of a first processing instruction, wherein the content of the descriptor includes a shape vector that indicates a multi-dimensional shape of tensor data on which the first processing instruction is to be executed;
• and
• a processing circuit is configured to:
• receive the content of the descriptor and the first processing instruction from the controller;
• obtain the tensor data from a data storage space based on the content of the descriptor;
• and
• execute the first processing instruction on the tensor data.