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US 2022/0188608 A1Published application
Techniques for optimizing neural networks
AssigneeNVIDIA Corporation
InventorsGregory Heinrich, Maxim Milakov, Xin Tong, Yue Wu
Life of this patent
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Abstract
Apparatuses, systems, and techniques to cache and reuse data for a neural network. In at least one embodiment, data generated by one or more layers of a neural network is cached and reused by the neural network.
Claims39
A processor, comprising:
- one or more circuits to cause data generated by one or more layers of a neural network to be cached and reused by the neural network.
A system, comprising:
- one or more processors to cause data generated by one or more layers of a neural network to be cached and reused by the neural network;
- and
- one or more memories to store the cached data.
A machine-readable medium having stored thereon a set of instructions, which if performed by one or more processors, cause the one or more processors to at least:
- cache data generated by one or more layers of a neural network;
- and
- reuse the cached data by the neural network.
A method, comprising:
- caching data generated by one or more layers of a neural network;
- and
- reusing the cached data by the neural network.
A vehicle, comprising:
- one or more sensors to generate sensor data;
- and
- one or more processors to generate a prediction based, at least in part, on inferencing with a neural network using the sensor data as an input, caching data generated by one or more layers of the neural network, and reusing the cached values in the neural network.
Dependencies are inferred from the claim text.