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This repository has been archived by the owner on Mar 21, 2024. It is now read-only.
Currently, environments in all of InnerEye and hi-ml do not use environment locking. This means that if a new environment is built (or rebuilt), then secondary dependencies can change and result in inconsistent and even breaking behaviour between 2 deployments of the same code. Locking use poetry and conda-lock isn't an option, as AzureML can only consume files in the format of a conda environment.yml.
The text was updated successfully, but these errors were encountered:
Currently, environments in all of InnerEye and hi-ml do not use environment locking. This means that if a new environment is built (or rebuilt), then secondary dependencies can change and result in inconsistent and even breaking behaviour between 2 deployments of the same code. Locking use poetry and conda-lock isn't an option, as AzureML can only consume files in the format of a conda
environment.yml
.The text was updated successfully, but these errors were encountered: