公开(公告)号：US20240202500A1

公开(公告)日：2024-06-20

申请号：US18067089

申请日：2022-12-16

Applicant: TEXAS INSTRUMENTS INCORPORATED

Inventor： Varun Tripathi ,  William Leven ,  Pramod Swami

IPC: G06N3/0464

CPC classification number: G06N3/0464

Abstract: Disclosed herein are improved systems and methods for accelerated 2D dilated convolution. A processor determines an offset based on a dilation factor of the 2D dilated convolution. The processor selects rows of data from the 2D input in phases based on the offset and loads an input feature panel without overwriting data that has not yet been consumed by the 2D dilated convolution processor. As the 2D dilated convolution processor performs the convolution iterations, the processor continues to load additional data for the convolution. As the convolution iterations are completed, the processor spaces result of the 2D dilated convolution into a matrix such that results of each phase are spaced based on the offset.

公开(公告)号：US20240354003A1

公开(公告)日：2024-10-24

申请号：US18305871

申请日：2023-04-24

Applicant: TEXAS INSTRUMENTS INCORPORATED

Inventor： Asheesh Bhardwaj ,  William Leven ,  Varun Tripathi

IPC: G06F3/06 ,  G06N3/0464

CPC classification number: G06F3/0608 ,  G06F3/0646 ,  G06F3/0673 ,  G06N3/0464

Abstract: Disclosed herein are systems and methods for providing on-the-fly padding to feature maps of convolutional neural networks (CNNs). In an implementation, a processor first identifies a padding schema for a feature map based on a type of convolution to be performed on the feature map. Next the processor identifies a feature vector from the feature map currently in an associated memory. Then, the processor determines a padding for the feature vector based on the padding schema. Finally, the processor applies the padding to the feature vector while the feature vector is transferred from the associated memory to registers of the suitable computer.

公开(公告)号：US20230251970A1

公开(公告)日：2023-08-10

申请号：US18165196

申请日：2023-02-06

Applicant: TEXAS INSTRUMENTS INCORPORATED

Inventor： Asheesh Bhardwaj ,  Burton Adrik Copeland ,  Elliott Gurrola ,  Tim Anderson ,  William Leven

IPC: G06F12/0837 ,  G06F12/0888

CPC classification number: G06F12/0837 ,  G06F12/0888

Abstract: A method is described herein. The method generally includes receiving stream parameters that defines an array, wherein the stream parameters include a first null element count and a second null element count. The method generally includes forming a stream of vectors for the multidimensional array responsive to the stream parameters. The stream of vectors generally includes a vector of null elements at a beginning of the stream of vectors based on the first null element count. The stream of vectors generally includes a null element at a beginning of each vector of the stream of vectors based on the second null element count. The stream of vectors generally includes a set of data distributed across a subset of the stream of vectors. The method generally includes providing the stream of vectors.