[NLPL Task Force (A)] [uninett.no #196625] Issues with TensorFlow on Saga

Vinit Ravishankar via RT support at metacenter.no
Sun Oct 20 18:57:00 UTC 2019


Right, turns out this was my fault — I was being extremely stupid and running this in a shell, which meant it was running on CPU :-) gave it a shot and it seems to work, thanks!

– Vinit

> On 20 Oct 2019, at 20:45, Thomas Röblitz via RT <support at metacenter.no> wrote:
> 
> Hei Vinit,
> 
> I'm lacking a bit detail here to reproduce the behaviour you experience. For example, when I do
> 
> # module load TensorFlow/1.13.1-fosscuda-2018b-Python-3.6.6 
> # which python
> /cluster/software/Python/3.6.6-fosscuda-2018b/bin/python
> # salloc --account=nn9999k --time=02:00:00 --nodes=1 --partition=accel --gres=gpu:1 --ntasks-per-node=1 --mem=32G
> 
> I get an interactive job on one of the GPU nodes. Then, when I start python via
> 
> # srun --pty python
> Python 3.6.6 (default, Aug  9 2019, 16:46:08) 
> [GCC 7.3.0] on linux
> Type "help", "copyright", "credits" or "license" for more information.
>>>> import tensorflow as tf
>>>> 
> 
> it seems to work (at least no error messages).
> 
> So, likely you do something different. If you provide more details, e.g., sequence of commands until you get to the error messages, I can have a look into the problem.
> 
> Best regards
> 
> Thomas
> 
> Am So 20. Okt 13:45:02 2019, vinitr at ifi.uio.no schrieb:
>> Hi all,
>> 
>> I’ve been having some issues getting (other people’s) projects in
>> TensorFlow to run on GPU. There’s two scenarios here:
>> 
>> 1. My own anaconda environment with TensorFlow installed manually
>> (this works fine for PyTorch, and, indeed, is my normal workflow):
>> ImportError: /lib64/libm.so.6: version `GLIBC_2.23' not found
>> 
>> 2. Using the tensorflow module: ImportError: libcuda.so.1: cannot open
>> shared object file: No such file or directory
>> 
>> (2) is despite CUDA being loaded by the module (as far as I can tell,
>> anyway).
>> 
>> How do I solve this? Additionally, it would also be cool to get multi-
>> GPU support with Horovod (https://github.com/horovod/horovod),
>> something I don’t believe works at the moment.
>> 
>> Thanks!
>> 
>> – Vinit
>> 
> 
> 
> 





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