Systems and methods for recursive dimensional decomposition convolution
AssigneeQUALCOMM Incorporated
InventorsJamie Menjay LIN, Kai WANG
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Abstract
Dimensional decomposition convolution systems and techniques are described. A system receives a tensor including a first number of dimensions. The system processes a variant of the tensor using a convolution function including a second number of dimensions to generate a processed tensor. The first number of dimensions is greater than the second number of dimensions. A plurality of dimensions from the first number of dimensions of the tensor are grouped into a dimension of the variant of the tensor to reduce dimensionality of the variant of the tensor to the second number of dimensions.
Claims30
An apparatus for dimensional decomposition convolution, the apparatus comprising:
- at least one memory;
- and
- at least one processor coupled to the at least one memory and configured to:
- receive a tensor including a first number of dimensions;
- and
- process a variant of the tensor using a convolution function including a second number of dimensions to generate a processed tensor, the first number of dimensions being greater than the second number of dimensions,
- wherein a plurality of dimensions from the first number of dimensions of the tensor are grouped into a dimension of the variant of the tensor to reduce dimensionality of the variant of the tensor to the second number of dimensions.
A method of dimensional decomposition convolution, the method comprising:
- receiving a tensor including a first number of dimensions;
- and
- processing a variant of the tensor using a convolution function including a second number of dimensions to generate a processed tensor, the first number of dimensions being greater than the second number of dimensions,
- wherein a plurality of dimensions from the first number of dimensions of the tensor are grouped into a dimension of the variant of the tensor to reduce dimensionality of the variant of the tensor to the second number of dimensions.
Dependencies are inferred from the claim text.