Convolutional neural network on programmable two dimensional image processor

    公开(公告)号:US10789505B2

    公开(公告)日:2020-09-29

    申请号:US15631906

    申请日:2017-06-23

    Applicant: Google LLC

    Abstract: A method is described that includes executing a convolutional neural network layer on an image processor having an array of execution lanes and a two-dimensional shift register. The executing of the convolutional neural network includes loading a plane of image data of a three-dimensional block of image data into the two-dimensional shift register. The executing of the convolutional neural network also includes performing a two-dimensional convolution of the plane of image data with an array of coefficient values by sequentially: concurrently multiplying within the execution lanes respective pixel and coefficient values to produce an array of partial products; concurrently summing within the execution lanes the partial products with respective accumulations of partial products being kept within the two dimensional register for different stencils within the image data; and, effecting alignment of values for the two-dimensional convolution within the execution lanes by shifting content within the two-dimensional shift register array.

    Sheet generator for image processor

    公开(公告)号:US10560598B2

    公开(公告)日:2020-02-11

    申请号:US16291047

    申请日:2019-03-04

    Applicant: Google LLC

    Abstract: A sheet generator circuit is described. The sheet generator includes electronic circuitry to receive a line group of image data including multiple rows of data from a frame of image data. The multiple rows are sufficient in number to encompass multiple neighboring overlapping stencils. The electronic circuitry is to parse the line group into a smaller sized sheet. The electronic circuitry is to load the sheet into a data computation unit having a two dimensional shift array structure coupled to an array of processors.

    Convolutional neural network on programmable two dimensional image processor

    公开(公告)号:US10546211B2

    公开(公告)日:2020-01-28

    申请号:US15201204

    申请日:2016-07-01

    Applicant: Google LLC

    Abstract: A method is described that includes executing a convolutional neural network layer on an image processor having an array of execution lanes and a two-dimensional shift register. The two-dimensional shift register provides local respective register space for the execution lanes. The executing of the convolutional neural network includes loading a plane of image data of a three-dimensional block of image data into the two-dimensional shift register. The executing of the convolutional neural network also includes performing a two-dimensional convolution of the plane of image data with an array of coefficient values by sequentially: concurrently multiplying within the execution lanes respective pixel and coefficient values to produce an array of partial products; concurrently summing within the execution lanes the partial products with respective accumulations of partial products being kept within the two dimensional register for different stencils within the image data; and, effecting alignment of values for the two-dimensional convolution within the execution lanes by shifting content within the two-dimensional shift register array.

    Virtual linebuffers for image signal processors

    公开(公告)号:US10516833B2

    公开(公告)日:2019-12-24

    申请号:US16376479

    申请日:2019-04-05

    Applicant: Google LLC

    Abstract: In a general aspect, an apparatus can include image processing logic (IPL) configured to perform an image processing operation on pixel data corresponding with an image having a width of W pixels and a height of H pixels to produce output pixel data in vertical slices of K pixels using K vertically overlapping stencils of S×S pixels, K being greater than 1 and less than H, S being greater than or equal to 2, and W being greater than S. The apparatus can also include a linebuffer operationally coupled with the IPL, the linebuffer configured to buffer the pixel data for the IPL. The linebuffer can include a full-size buffer having a width of W and a height of (S−1). The linebuffer can also include a sliding buffer having a width of SB and a height of K, SB being greater than or equal to S and less than W.

    Sheet Generator For Image Processor
    39.
    发明申请

    公开(公告)号:US20190208075A1

    公开(公告)日:2019-07-04

    申请号:US16291047

    申请日:2019-03-04

    Applicant: Google LLC

    Abstract: A sheet generator circuit is described. The sheet generator includes electronic circuitry to receive a line group of image data including multiple rows of data from a frame of image data. The multiple rows are sufficient in number to encompass multiple neighboring overlapping stencils. The electronic circuitry is to parse the line group into a smaller sized sheet. The electronic circuitry is to load the sheet into a data computation unit having a two dimensional shift array structure coupled to an array of processors.

    Sheet generator for image processor

    公开(公告)号:US10284744B2

    公开(公告)日:2019-05-07

    申请号:US15598933

    申请日:2017-05-18

    Applicant: Google LLC

    Abstract: A sheet generator circuit is described. The sheet generator includes electronic circuitry to receive a line group of image data including multiple rows of data from a frame of image data. The multiple rows are sufficient in number to encompass multiple neighboring overlapping stencils. The electronic circuitry is to parse the line group into a smaller sized sheet. The electronic circuitry is to load the sheet into a data computation unit having a two dimensional shift array structure coupled to an array of processors.

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