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    Compression Technique For Deep Neural Network Weights
    1.
    发明申请
    Compression Technique For Deep Neural Network Weights 有权

    公开(公告)号：US20220321143A1

    公开(公告)日：2022-10-06

    申请号：US17220620

    申请日：2021-04-01

    Applicant: QUALCOMM Incorporated

    Inventor： Prajakt Kulkarni ,  Lakshmi Narayana Macha ,  Haoping Xu

    IPC: H03M7/30 ,  G06N3/04

    Abstract: Various embodiments include methods and devices for compression and decompression of weight data sets. Some embodiments may include compressing weight data by receiving a weight data set of binary numbers representing weight values, generating a frame payload including a compressed first frame of a first subset of the weight values in the weight data set, and generating a block of compressed weight data having the frame payload. Some embodiments may include decompressing weight data by retrieving a block of compressed weight data, in which the block of compressed weight data includes a frame header associated with a frame payload, in which the frame header includes a normalization factor indicator, and in which the frame payload includes compressed weight values, and generating a first decompressed frame comprising decompressed weight values of the compressed weight values of the frame payload.

    Processing data in pixel-to-pixel neural networks
    2.
    发明授权
    Processing data in pixel-to-pixel neural networks 有权

    公开(公告)号：US12254405B2

    公开(公告)日：2025-03-18

    申请号：US17200090

    申请日：2021-03-12

    Applicant: QUALCOMM Incorporated

    Inventor： David Hansen ,  Alireza Shoa Hassani Lashdan ,  Sivakumar Chidambaram ,  Haoping Xu ,  Jeffrey Kar Fai Wong ,  Stone Yun ,  Darren Gnanapragasam

    IPC: G06N3/08 ,  G06F18/21 ,  G06V10/82

    Abstract: Technologies are provided for processing data in neural networks. An example method can include processing, by each layer of a neural network, a row in a first stripe of a data input, the row being processed sequentially in a horizontal direction and according to a layer-by-layer sequence; after processing the row, processing, by each layer, subsequent rows in the first stripe on a row-by-row basis, each subsequent row being processed sequentially in the horizontal direction and according to the layer-by-layer sequence; generating an output stripe based on the processing of the row and subsequent rows; processing, by each layer, a second stripe of the data input, each row in the second stripe being processed in the horizontal direction and according to the layer-by-layer sequence, wherein rows in the second stripe are processed on a row-by-row basis; and generating another output stripe based on the processing of the second stripe.

    Compression technique for deep neural network weights
    3.
    发明授权
    Compression technique for deep neural network weights 有权

    公开(公告)号：US11757469B2

    公开(公告)日：2023-09-12

    申请号：US17220620

    申请日：2021-04-01

    Applicant: QUALCOMM Incorporated

    Inventor： Prajakt Kulkarni ,  Lakshmi Narayana Macha ,  Haoping Xu

    IPC: H03M7/30 ,  G06N3/04

    CPC classification number: H03M7/702 ,  G06N3/04

    Abstract: Various embodiments include methods and devices for compression and decompression of weight data sets. Some embodiments may include compressing weight data by receiving a weight data set of binary numbers representing weight values, generating a frame payload including a compressed first frame of a first subset of the weight values in the weight data set, and generating a block of compressed weight data having the frame payload. Some embodiments may include decompressing weight data by retrieving a block of compressed weight data, in which the block of compressed weight data includes a frame header associated with a frame payload, in which the frame header includes a normalization factor indicator, and in which the frame payload includes compressed weight values, and generating a first decompressed frame comprising decompressed weight values of the compressed weight values of the frame payload.

    Packet-based universal bit-field masking coding using configurable sparsity information
    5.
    发明授权
    Packet-based universal bit-field masking coding using configurable sparsity information 有权

    公开(公告)号：US12132502B1

    公开(公告)日：2024-10-29

    申请号：US18483389

    申请日：2023-10-09

    Applicant: QUALCOMM Incorporated

    Inventor： Haoping Xu ,  Prajakt Kulkarni ,  Suze Balatsos ,  Zhaohui Du ,  Shiqi Sun ,  Xiaoxuan Yu ,  Nanda Kumar Aswatha Kumar ,  Sheng Zhan

    IPC: G06F16/30 ,  H03M7/30

    CPC classification number: H03M7/3066 ,  H03M7/6011 ,  H03M7/6076

    Abstract: Systems and techniques are provided for compressing data. A process can include generating a compressed sub-packet by removing one or more sparsity bytes from a sequence of values corresponding to a sub-packet, the sequence of values including one or more sparsity bytes each equal to a configured sparsity value and one or more non-sparsity bytes each corresponding to a respective data value different from the configured sparsity value. A sub-packet header can be generated for the compressed sub-packet, and indicative of a respective location within the sequence of values of each non-sparsity byte. A packet header can be generated for a plurality of compressed sub-packets, and indicative of the configured sparsity value and respective coding information for each compressed sub-packet. A compressed data packet can be generated to include at least the packet header, the sub-packet header, and the one or more non-sparsity bytes included in the sequence of values.

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