BANDWIDTH COMPRESSION FOR NEURAL NETWORK SYSTEMS

    公开(公告)号:US20210120248A1

    公开(公告)日:2021-04-22

    申请号:US17104353

    申请日:2020-11-25

    Abstract: Techniques and systems are provided for compressing data in a neural network. For example, output data can be obtained from a node of the neural network. Re-arranged output data having a re-arranged scanning pattern can be generated. The re-arranged output data can be generated by re-arranging the output data into the re-arranged scanning pattern. One or more residual values can be determined for the re-arranged output data by applying a prediction mode to the re-arranged output data. The one or more residual values can then be compressed using a coding mode.

    CROSS SUBTILE PREDICTION FOR BANDWIDTH COMPRESSION

    公开(公告)号:US20250005799A1

    公开(公告)日:2025-01-02

    申请号:US18346097

    申请日:2023-06-30

    Abstract: Aspects presented herein relate to methods and devices for data processing including an apparatus, e.g., a CPU. The apparatus may obtain an indication of a set of data subunits corresponding to at least one data unit. The apparatus may also arrange data for the set of data subunits into a first data order for the set of data subunits. Further, the apparatus may perform at least one of an encoding process or a decoding process on the data for each data subunit of the set of data subunits. The apparatus may also rearrange the data for the set of data subunits into the first data order for a first data subunit in the set of data subunits and into a second data order for at least one second data subunit in the set of data subunits, where the first data order is different from the second data order.

    METHODS AND APPARATUS FOR LOSSLESS COMPRESSION OF GPU DATA

    公开(公告)号:US20220254070A1

    公开(公告)日:2022-08-11

    申请号:US17169342

    申请日:2021-02-05

    Abstract: The present disclosure relates to methods and devices for data or graphics processing including an apparatus, e.g., a GPU. The apparatus may receive at least one bitstream including a plurality of bits, each of the bits corresponding to a position in the at least one bitstream, and each of the bits being associated with color data. The apparatus may also arrange an order of the plurality of bits in the at least one bitstream, such that at least one of the bits corresponds to an updated position in the at least one bitstream. Additionally, the apparatus may convert, upon arranging the order of the bits, the color data associated with each of the plurality of bits in the at least one bitstream. The apparatus may also compress, upon converting the color data associated with each of the bits, the plurality of bits in the at least one bitstream.

    LOCAL ILLUMINATION COMPENSATION (LIC) FOR VIRTUAL PIPELINE DATA UNITS (VPDUS)

    公开(公告)号:US20200221078A1

    公开(公告)日:2020-07-09

    申请号:US16725487

    申请日:2019-12-23

    Abstract: Techniques are described herein for processing video data. For instance, a current block of a picture of the video data can be obtained, and it can be determined that the current block includes more than one virtual pipeline data unit (VPDU). Current neighbor samples for the current block, reference neighbor samples for the current block, and additional neighbor samples for the current block can be obtained for illumination compensation. One or more illumination compensation parameters can be determined for the current block using the current neighbor samples, the reference neighbor samples, and the additional neighbor samples. The additional neighbor samples are used for determining the one or more illumination compensation parameters based on the current block covering more than one VPDU. Illumination compensation can be performed for the current block using the one or more illumination compensation parameters.

    FLOATING-POINT DATA COMPRESSION
    9.
    发明申请

    公开(公告)号:US20200098138A1

    公开(公告)日:2020-03-26

    申请号:US16140108

    申请日:2018-09-24

    Abstract: Certain aspects of the present disclosure provide a method of encoding data. The method generally includes receiving data comprising a fractional number comprising an exponential component and a fractional component, the exponential component being represented by an exponential bit sequence, the fractional component being represented by a fractional bit sequence. The method further includes determining if the fractional component is within a threshold of 0 or 1. The method further includes setting the fractional component to 0 when the fractional component is within the threshold of 0 or 1. The method further includes downscaling the fractional bit sequence based on a difference between the exponential component and a second threshold. The method further includes encoding the data. The method further includes transmitting the encoded data.

    BANDWIDTH COMPRESSION FOR NEURAL NETWORK SYSTEMS

    公开(公告)号:US20190373264A1

    公开(公告)日:2019-12-05

    申请号:US15991685

    申请日:2018-05-29

    Abstract: Techniques and systems are provided for compressing data in a neural network. For example, output data can be obtained from a node of the neural network. Re-arranged output data having a re-arranged scanning pattern can be generated. The re-arranged output data can be generated by re-arranging the output data into the re-arranged scanning pattern. One or more residual values can be determined for the re-arranged output data by applying a prediction mode to the re-arranged output data. The one or more residual values can then be compressed using a coding mode.

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