aidge-backend-cpu 0.3.0

CPU implementation of operators of the AIDGE framework

Aidge CPU library

You can find in this folder the library that implements the CPU operators.
Those operators can be used on any machine with an Linux OS.

[TOC]

Installation

Dependencies

• GCC
• Make/Ninja
• CMake
• Python (optional, if you have no intend to use this library in python with pybind)

Aidge dependencies

• aidge_core

Pip installation

pip install . -v

TIPS : Use environment variables to change compilation options :

• AIDGE_INSTALL : to set the installation folder. Defaults to <python_prefix>/lib/libAidge. :warning: This path must be identical to aidge_core install path.
• AIDGE_PYTHON_BUILD_TYPE : to set the compilation mode to Debug or Release or "" (for default flags). Defaults to Release.
• AIDGE_BUILD_GEN : to set the build backend (for development mode) or "" for the cmake default. Default to "".

Pip installation for development

To setup using pip in development (or editable mode), use the --no-build-isolation -e options to pip.

For instance run the following command in your python environnement for a typical setup :

export AIDGE_PYTHON_BUILD_TYPE=         # default flags (no debug info but fastest build time)
export AIDGE_PYTHON_BUILD_TYPE=Debug    # or if one really need to debug the C++ code
pip install -U pip setuptools setuptools_scm[toml] cmake   # Pre-install build requirements (refer to the pyproject.toml [build-system] section)
pip install -v --no-build-isolation -e .

Refer to aidge_core/README.md for more details on development build options.

Standard C++ Compilation

You will need to compile and install the Core Library before compiling the CPU one.

Once this has been done, you'll need run CMake with the CMAKE_INSTALL_PREFIX:PATH flag, in order to indicate to CMake where aidge_core has been installed :

cmake -DCMAKE_INSTALL_PREFIX:PATH=$(path_to_install_folder) $(CMAKE PARAMETERS) $(projet_root)

make all

More detailed information is available in the Aidge User Guide