I am training de deep learning model with tensorflow basically. As you may know numpy is a dependency for tensorflow, and numpy has blas(openblas/atlas/lapack) as optional dependency to improve performance. In my case I am using CUDA and cuDNN, so basically most of the computation is done in GPU through tensorflow/libcudnn(and therefore cuda), my doubt here is if should I care about if numpy have been built(or not) with blas/atlas/lapack/openblas support ?OBS: I am not sure if this question is appropriated here in U&L, but I hope you may help me.
Does it matter if numpy uses blas/atlas/lapack when using Tensorflow (with GPU support)?
libraries;gpu