Invention Grant
- Patent Title: Caching and clearing mechanism for deep convolutional neural networks
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Application No.: US17549039Application Date: 2021-12-13
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Publication No.: US11558628B2Publication Date: 2023-01-17
- Inventor: Honglei Zhang , Francesco Cricri , Hamed Rezazadegan Tavakoli , Jani Lainema , Emre Aksu , Nannan Zou
- Applicant: Nokia Technologies Oy
- Applicant Address: FI Espoo
- Assignee: Nokia Technologies Oy
- Current Assignee: Nokia Technologies Oy
- Current Assignee Address: FI Espoo
- Agency: Harrington & Smith
- Agent Joseph C. Drish
- Main IPC: H04N19/423
- IPC: H04N19/423 ; H04N19/107 ; H04N19/176 ; H04N19/119

Abstract:
An apparatus includes circuitry configured to: partition an input tensor into one or more block tensors; partition at least one of the block tensors into one or more continuation bands, the one or more continuation bands being associated with a caching counter having a value; store the one or more continuation bands in a cache managed using a cache manager; retrieve, prior to a convolution or pooling operation on a current block tensor, the one or more continuation bands of a previous block tensor from the cache that are adjacent to a current block tensor; concatenate the retrieved continuation bands with the current block tensor; apply the convolution or pooling operation on the current block tensor after the concatenation; decrease the respective caching counter value of the retrieved continuation bands; and clear the continuation bands from the cache when its respective caching counter reaches a value of zero.
Public/Granted literature
- US20220191524A1 Caching and Clearing Mechanism for Deep Convolutional Neural Networks Public/Granted day:2022-06-16
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