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A test implementation of a classifier network in PyTorch that has been quantized and does not sacrifice accuracy. A project meant for testing on an embedded device.

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Con-Mi/quantized-classifier-pytorch

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Project Status: Active – The project has reached a stable, usable state and is being actively developed. Build Status Build status Coverage Status codecov Codacy Badge Language grade: C/C++ Total alerts license Lines of Code. Average time to resolve an issue Percentage of issues still open

Boiler plate for C++ projects

This is a boiler plate for C++ projects. What you get:

  • Sources, headers and mains separated in distinct folders
  • Use of modern CMake for much easier compiling
  • Setup for tests using doctest
  • Continuous testing with Travis-CI and Appveyor, with support for C++17.
  • Code coverage reports, including automatic upload to Coveralls.io and/or Codecov.io
  • Code documentation with Doxygen

Demo of usage

Structure

.
β”œβ”€β”€ CMakeLists.txt
β”œβ”€β”€ app
β”‚Β Β  └── main.cpp
β”œβ”€β”€ include
β”‚Β Β  β”œβ”€β”€ example.h
β”‚Β Β  └── exampleConfig.h.in
β”œβ”€β”€ src
β”‚Β Β  └── example.cpp
└── tests
    β”œβ”€β”€ dummy.cpp
    └── main.cpp

Sources go in src/, header files in include/, main programs in app/, and tests go in tests/ (compiled to unit_tests by default).

If you add a new executable, say app/hello.cpp, you only need to add the following two lines to CMakeLists.txt:

add_executable(main app/main.cpp)   # Name of exec. and location of file.
target_link_libraries(main PRIVATE ${LIBRARY_NAME})  # Link the executable to lib built from src/*.cpp (if it uses it).

You can find the example source code that builds the main executable in app/main.cpp under the Build section in CMakeLists.txt. If the executable you made does not use the library in src/, then only the first line is needed.

Building

Build by making a build directory (i.e. build/), run cmake in that dir, and then use make to build the desired target.

Example:

> mkdir build && cd build
> cmake .. -DCMAKE_BUILD_TYPE=[Debug | Coverage | Release]
> make
> ./main
> make test      # Makes and runs the tests.
> make coverage  # Generate a coverage report.
> make doc       # Generate html documentation.

.gitignore

The .gitignore file is a copy of the Github C++.gitignore file, with the addition of ignoring the build directory (build/).

Services

If the repository is activated with Travis-CI, then unit tests will be built and executed on each commit. The same is true if the repository is activated with Appveyor.

If the repository is activated with Coveralls/Codecov, then deployment to Travis will also calculate code coverage and upload this to Coveralls.io and/or Codecov.io

Setup

When starting a new project, you probably don't want the history of this repository. To start fresh you can use the setup script as follows:

> git clone https://github.com/bsamseth/cpp-project  # Or use ssh-link if you like.
> cd cpp-project
> sh setup.sh

The result is a fresh Git repository with one commit adding all files from the boiler plate.

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A test implementation of a classifier network in PyTorch that has been quantized and does not sacrifice accuracy. A project meant for testing on an embedded device.

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