Patent ID: 11893470
Assignee: MIPS TECH, LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A processor-implemented method for data manipulation comprising:
obtaining input data comprising a plurality of image channels for manipulation in a layer of a neural network, wherein the manipulation is performed on a processor that supports single-precision operations and the input image data comprises an 8-bit unsigned integer for each channel of the image data;
converting, for each channel of the image data, the 8-bit unsigned integer for that channel of the image data to a 16-bit reduced floating-point representation in a bfloat16format without loss of precision in the image data, wherein the reduced floating-point representation comprises an alternative single-precision data representation mode;
manipulating each 16-bit reduced floating-point image channel with one or more 16-bit reduced floating-point data elements of the neural network; and
forwarding a result of the manipulating to a next layer of the neural network.