tfc.run() running from terminal fails in dlvm/dl container if requirements are not specified
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- Python
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Description
tensoflow_cloud.run() can not detect the requirements when running in terminal under DLVM / DL-container. This is possibly because some of the installed packages are sourced from files rather than packages such as numpydoc;
>pip freeze | grep numpydoc
numpydoc @ file:///home/conda/feedstock_root/build_artifacts/numpydoc_1593656006205/work
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Research direction
No source file, test, or entry point is identified in the issue. First reproduce the terminal failure in a DLVM or DL-container with an environment containing a file-sourced package such as numpydoc, then locate the requirements-detection path; done means requirements are detected and generated correctly without explicitly specifying them.
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Assessment
- Tech stack
- python, tensorflow
- Domain
- cloud
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100