How to access deployed container and edit score script

He Cheng Hui
0
Reputation points
I used Azure ML studio to set up a custom environment (base image using mcr.microsoft.com/azureml/openmpi4.1.0-cuda11.6-cudnn8-ubuntu20.04) and an online endpoint using that env.
The endpoint managed to deploy successfully using a Standard_NC4as_T4_v3 SKU. I would like to:
- Access the container to check if torch is accessing the GPU using terminal
- Edit the score script
I am able to do so locally but how do I do so after deploying online?
@Ramr-msft
Thank you. I have tried following the Doc to update the online deployment but I got the following error:
I have tried doing locally first but i wasn't able to get the container to use my GPU (window host, linux container using this).