Azure / Azure/MachineLearningNotebooks
Autosave-like environment versions?
- 主要語言
- Jupyter Notebook
- 星號
- 4.4k
- 分支
- 2.6k
- PR 合併指標
- 30 天內沒有已合併 PR
描述
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?
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研究方向
從 PythonScriptStep 管線設定開始,檢查如何參照 workspace environment version=1。使用 Docker 建置的環境重現執行,將要求的版本與產生的 Autosave 版本及其 build status 進行比較,並記錄此不一致是否符合預期或屬於缺陷。
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評估
- 技術堆疊
- azure, docker, python
- 領域
- cloud, machine-learning
- Issue 類型
- 缺陷
- 難度
- 4/5
- 預估耗時
- 3-5 天
- 活躍度
- 停滯
- 描述清晰度
- 需要釐清
- 新手友好度
- 25/100