Git Product home page Git Product logo

cnn-inference-acceleration-with-cuda-kernels's Introduction

CNN-Inference-Acceleration-with-CUDA-Kernels

This repository contains Custom CUDA Kernels, that accelerate the Inference of CNNs.

./
├── CD-Classfier-Script
├── CD-Classfier-Timing
├── CD-Classifier
│   ├── Data.m
│   ├── inc
│   │   ├── CNN_Funcs.h
│   │   ├── CNNWeights_Layer1.h
│   │   ├── CNNWeights_Layer2.h
│   │   ├── CNNWeights_Layer3_128.h
│   │   └── CNNWeights_Layer4_1.h
│   ├── Input_Image.txt
│   ├── Makefile
│   ├── Model_CD.m
│   ├── src
│   │   ├── CNN_Inference.cu
│   │   ├── CNN_Layers.cu
│   │   ├── main.cpp
│   │   └── Pre_Process.cu
│   └── Text-Weight-Files
│       ├── Bias_Layer_1.txt
│       ├── Bias_Layer_2.txt
│       ├── Conv_Layer_1.txt
│       ├── Conv_Layer_2.txt
│       ├── Dense_Layer_128_Bias.txt
│       ├── Dense_Layer_128_Weights.txt
│       └── Dense_Layer_1_Weights.txt
├── CD-Classifier-CPP
│   ├── Data.m
│   ├── inc
│   │   ├── CNN_Funcs.h
│   │   ├── CNNWeights_Layer1.h
│   │   ├── CNNWeights_Layer2.h
│   │   ├── CNNWeights_Layer3_128.h
│   │   └── CNNWeights_Layer4_1.h
│   ├── Input_Image.txt
│   ├── Makefile
│   ├── Model_CD.m
│   ├── src
│   │   ├── CNN_Inference.cpp
│   │   ├── CNN_Layers.cpp
│   │   ├── main.cpp
│   │   └── Pre_Process.cpp
│   └── Text-Weight-Files
│       ├── Bias_Layer_1.txt
│       ├── Bias_Layer_2.txt
│       ├── Conv_Layer_1.txt
│       ├── Conv_Layer_2.txt
│       ├── Dense_Layer_128_Bias.txt
│       ├── Dense_Layer_128_Weights.txt
│       └── Dense_Layer_1_Weights.txt
├── CD-Classifier-Speed-Up
│   ├── Data.m
│   ├── inc
│   │   ├── CNN_Funcs.h
│   │   ├── CNNWeights_Layer1.h
│   │   ├── CNNWeights_Layer2.h
│   │   ├── CNNWeights_Layer3_128.h
│   │   └── CNNWeights_Layer4_1.h
│   ├── Input_Image.txt
│   ├── Makefile
│   ├── Model_CD.m
│   ├── src
│   │   ├── CNN_Inference.cu
│   │   ├── CNN_Layers.cu
│   │   ├── main.cpp
│   │   └── Pre_Process.cu
│   └── Text-Weight-Files
│       ├── Bias_Layer_1.txt
│       ├── Bias_Layer_2.txt
│       ├── Conv_Layer_1.txt
│       ├── Conv_Layer_2.txt
│       ├── Dense_Layer_128_Bias.txt
│       ├── Dense_Layer_128_Weights.txt
│       └── Dense_Layer_1_Weights.txt
├── CNN-Accel
│   ├── inc
│   │   ├── CNN_Funcs.h
│   │   ├── CNNWeights_Layer1.h
│   │   ├── CNNWeights_Layer2.h
│   │   └── CNNWeights_Layer3.h
│   ├── Makefile
│   ├── src
│   │   ├── CNN_Inference.cu
│   │   ├── main.cpp
│   │   └── Pre_Process.cu
│   └── Text-Weight-Files
│       ├── Bias_Layer_1.txt
│       ├── Bias_Layer_2.txt
│       ├── Conv_Layer_1.txt
│       ├── Conv_Layer_2.txt
│       └── Dense_Layer_Weight.txt
├── CNN-Accel-CPP
│   ├── inc
│   │   ├── CNN_Funcs.h
│   │   ├── CNNWeights_Layer1.h
│   │   ├── CNNWeights_Layer2.h
│   │   └── CNNWeights_Layer3.h
│   ├── Makefile
│   ├── src
│   │   ├── CNN_Inference.cpp
│   │   ├── main.cpp
│   │   └── Pre_Process.cpp
│   └── Text-Weight-Files
│       ├── Bias_Layer_1.txt
│       ├── Bias_Layer_2.txt
│       ├── Conv_Layer_1.txt
│       ├── Conv_Layer_2.txt
│       └── Dense_Layer_Weight.txt
└── CNN-Accel-Test
    ├── inc
    │   ├── CNN_Funcs.h
    │   ├── CNNWeights_Layer1.h
    │   ├── CNNWeights_Layer2.h
    │   └── CNNWeights_Layer3.h
    ├── Makefile
    ├── src
    │   ├── CNN_Inference.cu
    │   ├── main.cpp
    │   └── Pre_Process.cu
    └── Text-Weight-Files
        ├── Bias_Layer_1.txt
        ├── Bias_Layer_2.txt
        ├── Conv_Layer_1.txt
        ├── Conv_Layer_2.txt
        └── Dense_Layer_Weight.txt

24 directories, 101 files

cnn-inference-acceleration-with-cuda-kernels's People

Contributors

amitvikrampujar avatar ruturajn avatar

Stargazers

 avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.