Giter VIP home page Giter VIP logo

nn-cuda-example's Introduction

Neural Network CUDA Example

logo

Several simple examples for neural network toolkits (PyTorch, TensorFlow, etc.) calling custom CUDA operators.

We provide several ways to compile the CUDA kernels and their cpp wrappers, including jit, setuptools and cmake.

We also provide several python codes to call the CUDA kernels, including kernel time statistics and model training.

For more accurate time statistics, you'd best use nvprof or nsys to run the code.

Environments

  • NVIDIA Driver: 418.116.00
  • CUDA: 11.0
  • Python: 3.7.3
  • PyTorch: 1.7.0+cu110
  • TensorFlow: 2.4.1
  • CMake: 3.16.3
  • Ninja: 1.10.0
  • GCC: 8.3.0

Cannot ensure successful running in other environments.

Code structure

├── include
│   └── add2.h # header file of add2 cuda kernel
├── kernel
│   └── add2_kernel.cu # add2 cuda kernel
├── pytorch
│   ├── add2_ops.cpp # torch wrapper of add2 cuda kernel
│   ├── time.py # time comparison of cuda kernel and torch
│   ├── train.py # training using custom cuda kernel
│   ├── setup.py
│   └── CMakeLists.txt
├── tensorflow
│   ├── add2_ops.cpp # tensorflow wrapper of add2 cuda kernel
│   ├── time.py # time comparison of cuda kernel and tensorflow
│   ├── train.py # training using custom cuda kernel
│   └── CMakeLists.txt
├── LICENSE
└── README.md

PyTorch

Compile cpp and cuda

JIT
Directly run the python code.

Setuptools

python3 pytorch/setup.py install

CMake

mkdir build
cd build
cmake ../pytorch
make

Run python

Compare kernel running time

python3 pytorch/time.py --compiler jit
python3 pytorch/time.py --compiler setup
python3 pytorch/time.py --compiler cmake

Train model

python3 pytorch/train.py --compiler jit
python3 pytorch/train.py --compiler setup
python3 pytorch/train.py --compiler cmake

TensorFlow

Compile cpp and cuda

CMake

mkdir build
cd build
cmake ../tensorflow
make

Run python

Compare kernel running time

python3 tensorflow/time.py --compiler cmake

Train model

python3 tensorflow/train.py --compiler cmake

Implementation details (in Chinese)

PyTorch自定义CUDA算子教程与运行时间分析
详解PyTorch编译并调用自定义CUDA算子的三种方式
三分钟教你如何PyTorch自定义反向传播

F.A.Q

Q. ImportError: libc10.so: cannot open shared object file: No such file or directory
A. You must do import torch before import add2.

Q. tensorflow.python.framework.errors_impl.NotFoundError: build/libadd2.so: undefined symbol: _ZTIN10tensorflow8OpKernelE
A. Check if ${TF_LFLAGS} in CmakeLists.txt is correct.

nn-cuda-example's People

Contributors

godweiyang 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.