Invention Application
- Patent Title: MULTI-DIMENSIONAL TENSOR SUPPORT EXTENSION IN NEURAL NETWORK PROCESSOR
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Application No.: US16953033Application Date: 2020-11-19
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Publication No.: US20220156575A1Publication Date: 2022-05-19
- Inventor: Christopher L. Mills
- Applicant: Apple Inc.
- Applicant Address: US CA Cupertino
- Assignee: Apple Inc.
- Current Assignee: Apple Inc.
- Current Assignee Address: US CA Cupertino
- Main IPC: G06N3/08
- IPC: G06N3/08

Abstract:
Embodiments of the present disclosure relate to a tensor access operation circuit in a neural processor circuit. The neural processor circuit further includes a data processor circuit and at least one neural engine circuit. The tensor access operation circuit indirectly accesses at least a region of a source tensor in a system memory having a rank, and maps one or more source components of the source tensor into an input tensor having another rank. The data processor circuit stores an output version of the input tensor obtained from the tensor access operation circuit and sends the output version of the input tensor as multiple of units of input data to the at least one neural engine circuit. The at least one neural engine circuit performs at least convolution operations on the units of input data and at least one kernel to generate output data.
Public/Granted literature
- US12277494B2 Multi-dimensional tensor support extension in neural network processor Public/Granted day:2025-04-15
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