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I'm using conda to try and install the required Python version and package versions, but I cannot resolve a conflict between the numpy and tensorflow versions that are required. I've tried stepping up the version of numpy to resolve it (in hopes this won't break the code), but resolving it requires upgrading to Python 3.6, and I've been getting errors.
Can you provide an installable environment or some advice on getting through this?
Many thanks.
The text was updated successfully, but these errors were encountered:
scipy was the only package that I needed to downgrade scipy for. In terms of an installable environment, docker is prob what your looking for. They have some good premade environments on dockerhub that you can "docker pull" and get up an running... https://hub.docker.com/r/ufoym/deepo
I'm using conda to try and install the required Python version and package versions, but I cannot resolve a conflict between the numpy and tensorflow versions that are required. I've tried stepping up the version of numpy to resolve it (in hopes this won't break the code), but resolving it requires upgrading to Python 3.6, and I've been getting errors.
Can you provide an installable environment or some advice on getting through this?
Many thanks.
The text was updated successfully, but these errors were encountered: