How to access deployed container and edit score script

He Cheng Hui 0 Reputation points
2023-03-15T09:28:52.8433333+00:00

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:

  1. Access the container to check if torch is accessing the GPU using terminal
  2. Edit the score script

I am able to do so locally but how do I do so after deploying online?

Azure Machine Learning
Azure Machine Learning
An Azure machine learning service for building and deploying models.
2,611 questions
{count} votes