Aidge CPP Export

This module depends on aidge_core and registers generic C++ implementations for DNN operators.

Examples

If you want to generate exports and/or better understand how it works in Aidge, you may take a look at the following resources :

• Example Scripts : Python scripts examples to export common models;
• Export Tutorials : Notebooks to better understand the export process (you may find these tutorials on the Aidge documentation page as well);
• User Guide : Theoretical guides detailing the export structure.

Quick start

System Requirements

• python >= 3.10

pip install aidge-export-cpp

🛠 Build from Source

Prerequisite (in addition to previous one):

• Please review the global installation instructions before proceeding.
• If using a virtual environment, use the same one for all Aidge modules.

1. Python installation using setup scripts

[!TIP] Use Get-Help setup.ps1 (Windows) or ./setup.sh -h (Unix) for full documentation.

2. Python Installation using pip

Run these commands from the aidge_export_cpp/ directory:

#fStandard install
pip install . -v

# Install with testing dependencies
pip install .[test] -v && pytest

Editable Install (Experimental)

Use this for real-time development without re-installing.

pip install --no-build-isolation -ve . --config-settings=editable.rebuild=true -Cbuild-dir=build

Export Support

The following models have been tested :

On the table above, validation is done using the aidge_cmp option, which evaluates the results between the aidge_backend_cpu and aidge_export_cpp kernels, with an absolute precision of 10^-3 (for float exports).

An example script is provided for each of these models (examples/export_<model_name>/<model_name>.py).