aidge-onnx 0.9.0

Aidge bridge to onnx framework, contains algorithms to import and export models.

Aidge ONNX library

You can find in this folder the python library that implements the ONNX import into Aidge.

Quick Start

Dependencies

pip install onnx

Aidge Dependencies

• aidge_core

# On Windows, from aidge/
setup.ps1 -Modules core -Clean -Tests -Python

# On Unix, from aidge/
./setup.sh -m core --clean --tests --python

Using setup.ps1

[!NOTE] Windows only* *Unless you installed powershell on your system

# From aidge/
setup.ps1 -Modules onnx -Clean -Tests -Python

[!TIP] Run Get-Help setup.ps1 --Full to display documentation

Using setup.sh

[!NOTE] Unix only*

# From aidge/
./setup.sh -m onnx --clean --tests --python

[!TIP] Run setup.sh -h to display documentation

Using pip

[!NOTE] If using virtual environment, make sure to use the same for every installation !

# only in aidge/aidge/aidge_onxx/
pip install . -v

# If you want to install test, do this instead
pip install .[test] -v

# Launch tests using pytest
pytest

[!TIP] -v is to enable verbose mode !

Development mode install

[!WARNING] Experimental Untested & experimental feature, see https://scikit-build-core.readthedocs.io/en/latest/configuration/index.html#editable-installs.

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