Functions and alogrithms to train models in the AIDGE framework
Project description
aidge_learning
In this module, you can find functions and classes to train your models:
Optimizer(SGD)LRScheduler(ConstantLR, StepLR)- loss functions (MSE)
Dependencies
GCCMake/NinjaCMakePython(optional, if you have no intend to use this library in python with pybind)
Aidge dependencies
aidge_coreaidge_backend_cpu
Pip installation
pip install . -v
TIPS : Use environment variables to change compilation options :
AIDGE_INSTALL: to set the installation folder. Defaults to /usr/local/lib. :warning: This path must be identical to aidge_core install path.AIDGE_PYTHON_BUILD_TYPE: to set the compilation mode to Debug or ReleaseAIDGE_BUILD_GEN: to set the build backend with
C++ installation
./setup.sh -m core -m backend_cpu -m learning --release
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