Cannot use curated environment from azureml registry in command job

[IvanHahan]

• Package Name: azure ml
• Operating System: linux

Describe the bug
When I call az ml job create --file <my_file>.yml, specifying one of the curated environments acft-mmdetection-image-gpu I get the error:

(UserError) No environment exists for name: acft-mmdetection-image-gpu, version: 46, label: 
Code: UserError
Message: No environment exists for name: acft-mmdetection-image-gpu, version: 46, label: 

az ml package is unable to find this existing environment acft-mmdetection-image-gpu under azureml registry.

When I perform az ml environment list, I'm unable to see acft-mmdetection-image-gpu environment in the list.
I can see this environment when I execute az ml environment list --registry azureml.

I also tried setting my environment in the job.yml file as environment: azureml://registries/azureml/environments/acft-mmdetection-image-gpu/versions/46, but it doesn't work either. same error appears.

What I can do is creating a custom environment that is inherited from the specified environment above and use it. But what should I do to use the original acft-mmdetection-image-gpu environment in my job?

To Reproduce

My job.yml file:

$schema: https://azuremlschemas.azureedge.net/latest/commandJob.schema.json
command: >-
  echo ""
environment: azureml:acft-mmdetection-image-gpu:46
compute: A100
resources:
  docker_args: '--ipc=host'
  instance_count: 1

Steps to reproduce the behavior:

1. call az ml job create --file job.yml

Expected behavior
The training job is created

[github-actions]

Thanks for the feedback! We are routing this to the appropriate team for follow-up. cc @Azure/azure-ml-sdk @azureml-github.