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Hi All,
Looking For Some Help When Executing Pipelines With Custom Docker Images.
I Have A Component Defined And I Expect Its Python Runtime Environment To Be Managed By A Custom Docker Image (
Just threw a new file into the gist above
It doesn’t look like it even gets to the point where it installs from the numpy wheel (because it errors out installing Pillow elsewhere).
What’s interesting to me (as a ClearML newbie) is it’s clearly compiling that wheel using my host machine (MacOS).
I would have expected there to be separation between the “pipeline runner” if you will and the task. I would expect the pipeline runner to only need a dependency on ClearML and for the task to be spawned as a container with numpy
installed (Linux in this case)
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2 years ago
one year ago