Patents by Inventor Satyanarayana Raju Uppalapati

Satyanarayana Raju Uppalapati has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • METHOD FOR AUTOMATIC HYBRID QUANTIZATION OF DEEP ARTIFICIAL NEURAL NETWORKS
    Publication number: 20230385645
    Abstract: A method includes, for each floating-point layer in a set of floating-point layers: calculating a set of input activations and a set of output activations of the floating-point layer; converting the floating-point layer to a low-bit-width layer; calculating a set of low-bit-width output activations based on the set of input activations; and calculating a per-layer deviation statistic of the low-bit-width layer. The method also includes ordering the set of low-bit-width layers based on the per-layer deviation statistic of each low-bit-width layer.
    Type: Application
    Filed: August 9, 2023
    Publication date: November 30, 2023
    Inventors: Wajahat Qadeer, Rehan Hameed, Satyanarayana Raju Uppalapati, Abhilash Bharath Ghanore, Kasanagottu Sai Ram
  • Method for automatic hybrid quantization of deep artificial neural networks
    Patent number: 11763158
    Abstract: A method includes, for each floating-point layer in a set of floating-point layers: calculating a set of input activations and a set of output activations of the floating-point layer; converting the floating-point layer to a low-bit-width layer; calculating a set of low-bit-width output activations based on the set of input activations; and calculating a per-layer deviation statistic of the low-bit-width layer. The method also includes ordering the set of low-bit-width layers based on the per-layer deviation statistic of each low-bit-width layer.
    Type: Grant
    Filed: December 4, 2020
    Date of Patent: September 19, 2023
    Assignee: Deep Vision Inc.
    Inventors: Wajahat Qadeer, Rehan Hameed, Satyanarayana Raju Uppalapati, Abhilash Bharath Ghanore, Kasanagottu Sai Ram
  • SYSTEM AND METHOD FOR PROFILING ON-CHIP PERFORMANCE OF NEURAL NETWORK EXECUTION
    Publication number: 20230195590
    Abstract: A method includes: accessing a static schedule of a target neural network for execution by a processing device, the target neural network including a set of layers; generating a set of expected performance metrics of the target neural network based on the static schedule, the set of expected performance metrics including a first expected performance metric for a first layer in the set of layers; accessing a set of runtime performance metrics captured during execution of the target neural network by the processing device, the set of runtime performance metrics including a first runtime performance metric for the first layer; and, in response to detecting a difference between the first runtime performance metric and the first expected performance metric exceeding a threshold, serving an alert at a user interface.
    Type: Application
    Filed: December 20, 2022
    Publication date: June 22, 2023
    Inventors: Satyanarayana Raju Uppalapati, Rajasekhar Reddy Ereddy, Sameek Banerjee, Mohammed Shahim, Shilpa Kallem, Suresh Kumar Vennam, Abhilash Bharath Ghanore, Raju Datla, Wajahat Qadeer, Rehan Hameed
  • METHOD FOR AUTOMATIC HYBRID QUANTIZATION OF DEEP ARTIFICIAL NEURAL NETWORKS
    Publication number: 20210174172
    Abstract: A method includes, for each floating-point layer in a set of floating-point layers: calculating a set of input activations and a set of output activations of the floating-point layer; converting the floating-point layer to a low-bit-width layer; calculating a set of low-bit-width output activations based on the set of input activations; and calculating a per-layer deviation statistic of the low-bit-width layer. The method also includes ordering the set of low-bit-width layers based on the per-layer deviation statistic of each low-bit-width layer.
    Type: Application
    Filed: December 4, 2020
    Publication date: June 10, 2021
    Inventors: Wajahat Qadeer, Rehan Hameed, Satyanarayana Raju Uppalapati, Abhilash Bharath Ghanore, Kasanagottu Sai Ram