Getting started with TensorFlow on Baobab (ImportError: libcuda.so.1)

[Luca.Capello]

Hi there,

@Pablo.Strasser

I just tested the example and pushed a fix that work here (https://gitlab.unige.ch/Pablo.Strasser/softs/tree/master/t/tensorflow/hello ). If one of the admins could merge this commit it would be nice.

Thank you for the patch, merged (cf. Merge remote-tracking branch 'gitlab.unige.ch_Pablo.Strasser/master' (d10d722d) · Commits · hpc / softs · GitLab ).

FWIW, to ease such workflow, for the next time please fork the GitLab project hpc / softs · GitLab project and send a proper merge request.

@Pablo.Strasser

Note also that the tensorflow installed on baobab require Cuda and to solve some mixing problem between libraries I think Cuda is only installed on GPUs node. This mean that it is not possible to use tensorflow on cpu only on non GPUs node.

You are right about the CUDA system libraries, which are available on GPU nodes only. Here the reason: while moving to CentOS 7 (cf. Baobab migration from CentOS6 to CentOS7 ) we decided to install as less extra software as possible, or, in other words, to have a basic installation shared between all the nodes and the servers as well. CUDA is obviously not part of a basic installation…

From a quick look, it seems that the CUDA application libraries loaded via module do not include libcuda.so* , but only a stub, which should refer to the corresponding system library (my guess is that the latter communicates with the NVIDIA kernel driver).

Moreover, according to the upstream documentation (cf. Build from source  |  TensorFlow ) while compiling, TensorFlow creates symbolic links to the CUDA system libraries, which de facto renders the compiled TensorFlow not portable.

Thx, bye,
Luca