topic Can't upgrade tensorflow in Intel® Optimized AI Frameworks

Can't upgrade tensorflow

Praburam__Myleshen — Sat, 22 Feb 2020 05:42:26 GMT

Whenever i try to update tensorflow i'm getting memory error in my login node(The error is : "Process exceeded login node resource limit" ), should i update all the modules in my login node or in the computation node using qsub-I

The command which is used is

pip install tensorflow --user --upgrade

And also is there any tutorial for how to install modules in Devcloud cause the original tutorial (documentation) does not contain that much of information

Hi,

AthiraM_Intel — Tue, 25 Feb 2020 06:08:53 GMT

Hi,

Thanks for reaching out to us.

You can update all the modules in the compute node. In most cases, memory error is caused by trying to run compute-intensive tasks on the login node. In such cases, login to the compute node using qsub –I and execute your commands there.

For installing modules using pip you can follow the original documentations. Run pip with the argument –user to install the same in DevCloud.

Please refer https://readthedocs.org/projects/devcloud-docs/downloads/pdf/latest/ for more information on using DevCloud

Hope this clarifies your query.

Yeah, thanks a lot for the

Praburam__Myleshen — Tue, 25 Feb 2020 10:49:48 GMT

Yeah, thanks a lot for the clarification. My doubt is cleared now. But I would like you guys to make the new documentation easily available and some basic tutorials in youtube if possible, and yeah you can close this thread

Hi,

AthiraM_Intel — Tue, 25 Feb 2020 11:41:37 GMT

Hi,

Thank you for the confirmation.

We do have some online courses available for machine learning and deep learning.You can have a look at them:

https://software.intel.com/en-us/ai/courses/deep-learning

https://software.intel.com/en-us/ai/courses/machine-learning

Since your initial query is resolved,we are closing this case.Please feel free to open a new thread if you face any further queries.

Thanks.