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US 12,762,373 B2Granted
System and method for adapting to changing constraints
AssigneeInterDigital CE Patent Holdings, SAS
InventorsFrancois Schnitzler, Anne Lambert, Francoise Le Bolzer
Life of this patent
Estimating the term…
Abstract
In general, at least one example of an embodiment can involve selecting a neural network from a plurality of neural networks based on an indication of resource availability and processing data using the selected neural network in accordance with the resource availability.
Claims22
A method performed by a wireless transmit/receive unit (WTRU), the method comprising:
- receiving an input data sequence;
- receiving a first indication of a first constraint for processing a first portion of the input data sequence at a first time by a first neural network, wherein the first indication indicates a relationship between the first constraint and a characteristic of the first neural network for processing the first portion of the input data sequence;
- receiving a second indication of a second constraint corresponding to a change in the first constraint for processing a second portion of the input data sequence at a second time by a second neural network that differs from the first neural network, wherein the second indication indicates a relationship between the second constraint and a characteristic of the second neural network for processing the second portion of the input data sequence;
- determining, via the first neural network, a state for a first input element included in the first portion of the input data sequence based on the first input element and based on a previous state for a previous input element included in the first portion of the input data sequence;
- determining, via the second neural network, a state for a second input element included in the second portion of the input data sequence based on the second input element and based on the state for the first input element;
- and
- processing, via the second neural network based on the state for the second input element, the second portion of the input data sequence based on the second constraint.
4 more elements
A wireless transmit receive unit (WTRU) comprising a processor, the processor configured to:
- receive an input data sequence;
- receive a first indication of a first constraint to process a first portion of the input data sequence at a first time by a first neural network, wherein the first indication indicates a relationship between the current constraint and a characteristic of the first neural network configured to process the first portion of the input data sequence;
- while processing the first portion of the input data sequence by the first neural network, receive a second indication of a second constraint corresponding to a change in the first constraint to process a second portion of the input data sequence at a second time by a second neural network that differs from the first neural network, wherein the second indication indicates a relationship between the second constraint and a characteristic of the second neural network configured to process the second portion of the input data sequence;
- determine, via the first neural network, a state for a first input element included in the first portion of the input data sequence based on the first input element and based on a previous state for a previous input element included in the first portion of the input data sequence;
- determine, via the second neural network, a state for a second input element included in the second portion of the input data sequence based on the second input element and based on the state for the first input element;
- and
- process, via the second neural network based on the state for the second input element, the second portion of the input data sequence based on the second constraint.
4 more elements
Dependencies are inferred from the claim text.