European Distributed Deep Learning (EDDL) library. A general-purpose library initially developed to cover deep learning needs in healthcare use cases within the DeepHealth project.
Workaround: This is not common. Nevertheless, you can avoid this issue by using a conda environment.
In some systems, I get this error when compiling the EDDL:
In file included from /usr/include/eigen3/Eigen/Dense:1:0,
from /home/.../eddl/src/hardware/gpu/../../tensor/tensor.h:20,
from /home/.../eddl/src/hardware/gpu/gpu_hw.h:19,
from /home/.../eddl/src/hardware/gpu/gpu_da.cu:17:
/usr/include/eigen3/Eigen/Core:42:14: fatal error: math_functions.hpp: No such file or directory
#include <math_functions.hpp>
Here, Eigen has been installed from source (stable 3.3.7) and also, through sudo apt install libeigen3-dev
Workaround: This is not common. Nevertheless, you can avoid this issue by using a conda environment.
In some systems, I get this error when compiling the EDDL:
Here, Eigen has been installed from source (stable 3.3.7) and also, through
sudo apt install libeigen3-dev