Test image classifier flow - #52
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With ad95978, the flow failed. Details are as follows: Python version: Perimeter: Outerbound dependency versions: Command to run the flow: Console logs |
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Re-ran With ad95978 one more time and now the flow starts but fails in the Main error seems to be: Detailed console logs: |
…kage - use wandb package explicitly in flow where needed - disabled uploading model to gcs - install outerbounds package instead of mozmlops via requirements file
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With 7807e30, I did following:
to see whether mozmlops package is an issue (I will not be able to upload artifacts to gcp via the flow but that is fine). The flow failed. Details are as follows: Local python version: Perimeter: Locally installed outerbounds/metaflow dependencies: Flow run: |
- torchvision 0.24.0 - torch 2.9.0
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With 6e79000, I updated torch and torchvision dependency to latest versions. The flow failed. Main error: Details are as follows: |
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Switched from @pypi to @conda decorator via 0034215 and the flow is still failing (running into different failure now). Detailed logs are: |
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Taking inspiration from a working flow, switched to python Detailed logs are: |
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Taking inspiration from the same working flow, stopped specifying each step's dependent package versions (via 94d4a38) and the flow ran successfully. This is the run https://ui.desertowl.obp.outerbounds.com/dashboard/runs/p/default/ImageClassifierFlow/1250 |
Goal(s) of this Pull Request:
Try to reproduce and fix an issue that a client reported.
Example of how it works:
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Acceptance criteria:
In order to approve, reviewer must be able to...