CUDA implementations of the operators of aidge framework
Project description
Aidge CUDA library
You can find in this folder the library that implements the CUDA operators. [TOC]
Installation
Dependencies
- CUDA ToolKit 12.4
- CUDnn9 make sure to install the CUDA 12 compatible version
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
Standard C++ Compilation
You will need to compile first the Core library before compiling the CUDA one. The makefile is designed to do it for you.
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