Optimization for Machine Learning

1. Create a private account for the Inria nef cluster here [ open the hyperlinks, please click twice on them.]

[Please do it as soon as possible before 03/03/2021, as it may take time to create the account]:

1. 1. • for company : please choose "other"

      • for mail address : please use your UCA email [xxxx@etu.univ-cotedazur.fr](no gmail, etc.)

      • expiration date : 2021-04-09

      • ssh public key : generate ssh key (Linux, MacOS, Windows)

and attach the public one (ended by .pub)

reminder - openssh format is needed for the key (windows/putty users will need to convert the key to openssh format - tutorial)

• • • usecase description : please indicate "Optimization for Machine Learning" (Master UCA Data Science and AI)

    • account creation may require several days, a confirmation email will be sent once the account is created

2. Log in to the cluster once the account is created:

• • • ssh username@nef-frontal.inria.fr

    • ssh username@nef-devel.inria.fr

    • you may try to transfer your own local file from computer to the cluster directory by:

For Linux and MacOS: scp localfile username@nef-frontal.inria.fr:~/

For Windows: pscp localfile username@nef-frontal.inria.fr:~/ [Tutorial]

3. Reserve computing resources in the cluster and log into the reserved node:

• • • oarsub -l /nodes=1/core=2,walltime=1 -I (reserving 2 CPU cores from one node for one hour)

    • more variants for the commands

    • hardware details of the cluster

4. Get Pytorch prepared: mutiple ways , recommend Method 3.

• • • To check if Pytorch is well installed, from the terminal type:

[Please make sure the following commands work before the start of the TD, if not, please contact chuan.xu@inria.fr]

• • • • • python

        • import torch

        • print(torch.__version__)

        • print(torch.version.cuda)

        • print(torch.backends.cudnn.version())

5. Python editor in cluster, recommend to use VIM and know the basic operation in advance.

6. If you have any question concerning the previous points, please contact me: chuan.xu@inria.fr.

7. Please install Pytorch on your own computer following: https://pytorch.org/get-started/locally