Comments (2)
maybe you should remove "conda clean -ay" from the Dockerfile, not sure what is the purpose of that command, but it causing this problem...
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Have you tried to update your conda base image as suggested in your log? "conda update -n base -c defaults conda"
Besides that, to me it looks like a problem with the conda installation/configuration. Building the docker image works for me.
"conda clean -ay" ensures that we use the newest version of all packages, in case packages have changed without updating release versions. This can be useful if you are using you are including your on pypi packages.
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Related Issues (12)
- Adding Deploying Step? HOT 1
- The mysterious aml_config directory HOT 1
- Datastore must be of type AzureBlobDatastore HOT 1
- “Keras requires TensorFlow 2.2 or higher”!! HOT 4
- What keras vesion for tensorflow-gpu==1.15? HOT 1
- How to testing model with custom video in local without docker/azure?
- This repo is missing important files
- got an unexpected keyword argument 'hyperdrive_run_config' HOT 1
- video.mp4 are missing in UCSD dataset HOT 1
- trying to use the project HOT 2
- bug in train.py HOT 2
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