Autosave-like environment versions?
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
- Issue type
- Bug
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- azure, docker, python
- Domain
- cloud, machine-learning
Research direction
Start at the PythonScriptStep pipeline configuration and inspect how workspace environment version=1 is referenced. Reproduce the run with the Docker-built environment, compare the requested version with the generated Autosave version and its build status, and document whether the mismatch is expected or a defect.
Written by the indexing model from the issue text.
Description
I am trying to use a custom environment (docker-based) within a PythonScriptStep. The environment exists (version=1) in the workspace and has already been successfully built with Docker (build status is succeeded).
Whenever I try to run the pipeline and use this environment AzureML ignores the environment version and injects a version named Autosave_{YYYY}-{MM}-{DD}T{HH}:{MM}:{SS}Z_{some_hash}.. The pipeline run then fails saying this version does not match the one provided (version=1). This environment version then appears in the environment versions list but I did not create it. There are no builds available for such environment version.
Is this expected? What might be causing this?
- Dominant language
- Jupyter Notebook
- Stars
- 4.4k
- Forks
- 2.6k
- PR merge metrics
- No merged PRs in 30d
Contributor guide
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First steps
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