US 2025/0053485 A1 · NEURAL NETWORK QUANTIZATION PARAMETER DETERMINATION METHOD AND RELATED PRODUCTS

Abstract

The technical solution involves a board card including a storage component, an interface apparatus, a control component, and an artificial intelligence chip. The artificial intelligence chip is connected to the storage component, the control component, and the interface apparatus, respectively; the storage component is used to store data; the interface apparatus is used to implement data transfer between the artificial intelligence chip and an external device; and the control component is used to monitor a state of the artificial intelligence chip. The board card is used to perform an artificial intelligence operation.

Claims20

Dependent claims

A quantization parameter adjustment method of a neural network, comprising:

obtaining a data variation range of data to be quantized;
and
determining a target iteration interval according to the data variation range of the data to be quantized, so as to adjust a quantization parameter in a neural network operation according to the target iteration interval, wherein the target iteration interval comprises at least one iteration, and the quantization parameter of the neural network is configured to implement quantization of the data to be quantized in the neural network operation.

Dependencies are inferred from the claim text.

Facts

Application

18/820,594Filed 30 Aug 2024

Priority

CN 201910505239.712 Jun 2019

Published

13 Feb 2025

Term ends

Not estimatedThe source records don’t support an estimate.

Classification14 codes

G06F 11/1476
Error detection or correction of the data by redundancy in operations: in neural networks
G06N 3/084
Learning methods: backpropagation, e.g. using gradient descent
G06N 3/045
Architecture, e.g. interconnection topology: combinations of networks
G06N 3/0464
Architecture, e.g. interconnection topology: convolutional networks [CNN, ConvNet]

Neural network quantization parameter determination method and related products

Life of this patent

Neural network quantization parameter determination method and related products

Life of this patent

Abstract

Claims20