The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 13, 2023

Filed:

Dec. 18, 2018
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Bita Darvish Rouhani, Bellevue, WA (US);

Taesik Na, Sammamish, WA (US);

Eric S. Chung, Woodinville, WA (US);

Daniel Lo, Bothell, WA (US);

Douglas C. Burger, Bellevue, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 3/063 (2023.01); G06F 17/15 (2006.01); G06F 17/16 (2006.01); G06N 3/084 (2023.01);
U.S. Cl.
CPC ...
G06N 3/063 (2013.01); G06F 17/15 (2013.01); G06F 17/16 (2013.01); G06N 3/084 (2013.01); G06N 20/00 (2019.01);
Abstract

Technology related to training a neural network accelerator using mixed precision data formats is disclosed. In one example of the disclosed technology, a neural network accelerator is configured to accelerate a given layer of a multi-layer neural network. An input tensor for the given layer can be converted from a normal-precision floating-point format to a quantized-precision floating-point format. A tensor operation can be performed using the converted input tensor. A result of the tensor operation can be converted from the block floating-point format to the normal-precision floating-point format. The converted result can be used to generate an output tensor of the layer of the neural network, where the output tensor is in normal-precision floating-point format.


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