AsiaCao
commented
2 years ago I am a first-time user of zenml, who also encountered a similar issue. (Perhaps more related to M1 chipset in particular)
What I did?
I just created a brand new virtual environment, and run pip install zenml, and pip failed complaining dependency conflicts.
Environment: Python 3.8, Apple M1 CPU
ERROR: Cannot install zenml==0.1.0, zenml==0.1.1, zenml==0.1.2, zenml==0.1.3, zenml==0.1.4, zenml==0.1.5, zenml==0.2.0, zenml==0.3.1, zenml==0.3.2, zenml==0.3.3, zenml==0.3.4, zenml==0.3.5, zenml==0.3.6, zenml==0.3.6.1, zenml==0.3.7 and zenml==0.3.8 because these package versions have conflicting dependencies.
The conflict is caused by:
zenml 0.3.8 depends on tensorflow==2.4.1
zenml 0.3.7 depends on tensorflow<2.4.0 and >=2.3.0
zenml 0.3.6.1 depends on tensorflow<2.4.0 and >=2.3.0
zenml 0.3.6 depends on tensorflow<2.4.0 and >=2.3.0
zenml 0.3.5 depends on tensorflow<2.4.0 and >=2.3.0
zenml 0.3.4 depends on tensorflow<2.4.0 and >=2.3.0
zenml 0.3.3 depends on tensorflow<2.4.0 and >=2.3.0
zenml 0.3.2 depends on tensorflow<2.4.0 and >=2.3.0
zenml 0.3.1 depends on tensorflow<2.4.0 and >=2.3.0
zenml 0.2.0 depends on tensorflow<2.4.0 and >=2.3.0
zenml 0.1.5 depends on tensorflow<2.4.0 and >=2.3.0
zenml 0.1.4 depends on tensorflow<2.4.0 and >=2.3.0
zenml 0.1.3 depends on tensorflow<2.4.0 and >=2.3.0
zenml 0.1.2 depends on tensorflow<2.4.0 and >=2.3.0
zenml 0.1.1 depends on tensorflow==2.3.0
zenml 0.1.0 depends on tensorflow==2.3.0
To fix this you could try to:
1. loosen the range of package versions you've specified
2. remove package versions to allow pip attempt to solve the dependency conflict
ERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/topics/dependency-resolution/#dealing-with-dependency-conflicts
(zenml) ➜ zenml-playground pip list
Package Version
---------- -------
pip 22.0.4
setuptools 62.1.0
wheel 0.37.1
htahir1
Contact Details [Optional]
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What happened?
This is not a bug. The production project's model microservice requirements.txt contains the below packages
I am unable to add zenml 0.7.1 to the above requirements.txt Because many of the existing package version conflicts with zenml. The main ones that conflict are spacy, pydantic, jinja etc.
In a simple example notebook, zenml works well but not able to add it to production due to this dependencies. When i install zenml==0.7.1 after running pip install -r requirements.txt Its uninstalling and installing new versions of the package.
I believe this is causing unexpected errors like below
Really liked the mlops features and ml pipeline features of zenml. Would be a disappointment to remove zenml related codes and go back to old way of coding without zenml pipelines for the sake of putting the model in production. Any solutions? Perhaps there is a better way to manage the dependencies.
Reproduction steps
1. 2. 3. ...
ZenML Version
0.7.1
Python Version
3.8
OS Type
No response
Relevant log output
No response
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