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US 2022/0092423 A1Published application
Input ordering neural network decomposition
AssigneeInternational Business Machines Corporation
InventorsVenkatesan T. Chakaravarthy, Anamitra Roy Choudhury, Saurabh Goyal, Saurabh Manish Raje, Yogish Sabharwal, ASHISH VERMA
Life of this patent
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Abstract
One or more computer processors decompose a weight matrix associated with a neural network utilizing a permutation dependent decomposition. The one or more computer processors regenerate a recovered matrix utilizing the decomposed weight matrix. The one or more computer processors reduce an error between the decomposed weight matrix and regenerated recovered matrix.
Claims20
A computer-implemented method comprising:
- decomposing, by one or more computer processors, a weight matrix associated with a neural network utilizing a permutation dependent decomposition;
- regenerating, by one or more computer processors, a recovered matrix utilizing the decomposed weight matrix;
- and
- reducing, by one or more computer processors, an error between the decomposed weight matrix and regenerated recovered matrix.
1 more element
A computer program product comprising:
- one or more computer readable storage media and program instructions stored on the one or more computer readable storage media, the stored program instructions comprising:
- program instructions to decompose a weight matrix associated with a neural network utilizing a permutation dependent decomposition;
- program instructions to regenerate a recovered matrix utilizing the decomposed weight matrix;
- and
- program instructions to reduce an error between the decomposed weight matrix and regenerated recovered matrix.
2 more elements
A computer system comprising:
- one or more computer processors;
- one or more computer readable storage media;
- and
- program instructions stored on the computer readable storage media for execution by at least one of the one or more processors, the stored program instructions comprising:
- program instructions to decompose a weight matrix associated with a neural network utilizing a permutation dependent decomposition;
- program instructions to regenerate a recovered matrix utilizing the decomposed weight matrix;
- and
- program instructions to reduce an error between the decomposed weight matrix and regenerated recovered matrix.
5 more elements
Dependencies are inferred from the claim text.