Methods and apparatus for configuring a texture filter pipeline for deep learning operation
AssigneeQUALCOMM Incorporated
InventorsLiang LI, Elina KAMENETSKAYA, Andrew Evan GRUBER
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AssigneeQUALCOMM Incorporated
InventorsLiang LI, Elina KAMENETSKAYA, Andrew Evan GRUBER
Estimating the term…
The present disclosure relates to methods and apparatus for configuring a texture filtering logic unit for deep learning operation. The apparatus can map one or more inputs of a deep learning operation to a respective input of a texture filtering logic unit in a graphics pipeline. Moreover, the apparatus can generate, by the texture filtering logic unit, at least one output for the deep learning operation based on the one or more inputs mapped to the texture filtering logic unit. Furthermore, the apparatus can communicate the at least one output to a programmable shader, which can analyze the output result to determine information relating to an input image based on the deep learning operation.
A method for a deep learning operation, the method comprising:
(canceled)
An apparatus for a deep learning operation, the apparatus comprising:
(canceled)
An apparatus for a deep learning operation, the apparatus comprising:
A non-transitory computer-readable medium storing computer executable code for a deep learning operation, the code when executed by a processor causes the processor to:
Dependencies are inferred from the claim text.