Invention Grant
- Patent Title: Bit width selection for fixed point neural networks
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Application No.: US14936594Application Date: 2015-11-09
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Publication No.: US10262259B2Publication Date: 2019-04-16
- Inventor: Dexu Lin , Venkata Sreekanta Reddy Annapureddy , David Jonathan Julian , Casimir Matthew Wierzynski
- Applicant: QUALCOMM Incorporated
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Incorporated
- Current Assignee: QUALCOMM Incorporated
- Current Assignee Address: US CA San Diego
- Agency: Seyfarth Shaw LLP
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/10 ; G06F17/11 ; G06N3/063

Abstract:
A method for selecting bit widths for a fixed point machine learning model includes evaluating a sensitivity of model accuracy to bit widths at each computational stage of the model. The method also includes selecting a bit width for parameters, and/or intermediate calculations in the computational stages of the mode. The bit width for the parameters and the bit width for the intermediate calculations may be different. The selected bit width may be determined based on the sensitivity evaluation.
Public/Granted literature
- US20160328647A1 BIT WIDTH SELECTION FOR FIXED POINT NEURAL NETWORKS Public/Granted day:2016-11-10
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