aidge_learning
In this module, you can find functions and classes to train your models:
Optimizer(SGD)LRScheduler(ConstantLR, StepLR)- loss functions (MSE)
Quick Start
Prerequisite:
aidge_core
aidge_backend_cpu- Only needed for tests.
pip install aidge-learning
🛠 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 or C++ installation using setup scripts
| Environment | C++ Development | Python Development |
|---|---|---|
| Windows | .\setup.ps1 -Modules learning -Clean -Tests |
.\setup.ps1 -Modules learning -Clean -Tests -Python |
| Unix | ./setup.sh -m learning --clean --tests |
./setup.sh -m learning --clean --tests --python |
[!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_learning/ directory:
# Standard 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
3. C++ Installation (CMake)
A CMakePresets.json is provided for standard configurations.
# Configure, Build, and Install
cmake --preset clang-debug
cmake --build --preset clang-debug
cmake --install
# Run C++ Tests
ctest --test-dir build/
[!TIP] Create a
CMakeUserPresets.jsonto define your own local build configurations.
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