Invention Grant
- Patent Title: Forward tensor and activation scaling for lower precision neural networks
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Application No.: US17565391Application Date: 2021-12-29
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Publication No.: US12153930B2Publication Date: 2024-11-26
- Inventor: Hai Xiao
- Applicant: Advanced Micro Devices, Inc.
- Applicant Address: US CA Santa Clara
- Assignee: Advanced Micro Devices, Inc.
- Current Assignee: Advanced Micro Devices, Inc.
- Current Assignee Address: US CA Santa Clara
- Agency: Volpe Koenig
- Main IPC: G06F9/30
- IPC: G06F9/30 ; G06F9/355 ; G06F9/38 ; G06F18/214 ; G06N3/04 ; G06N3/048 ; G06N3/063 ; G06N3/08 ; G06N3/084

Abstract:
A processing device is provided which comprises memory configured to store data and a processor configured to execute a forward activation of the neural network using a low precision floating point (FP) format, scale up values of numbers represented by the low precision FP format and process the scaled up values of the numbers as non-zero values for the numbers. The processor is configured to scale up the values of one or more numbers, via scaling parameters, to a scaled up value equal to or greater than a floor of a dynamic range of the low precision FP format. The scaling parameters are, for example, static parameters or alternatively, parameters determined during execution of the neural network.
Public/Granted literature
- US20230205544A1 FORWARD TENSOR AND ACTIVATION SCALING FOR LOWER PRECISION NEURAL NETWORKS Public/Granted day:2023-06-29
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