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tensorflow / cloud

The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and TensorFlow code in a local environment to distributed training in the cloud.

Home Page:https://github.com/tensorflow/cloud

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version compatibility

fisakhan opened this issue · comments

commented

Where can I find version compatibility of tensorflow-cloud with tensorflow?

commented

I found that the following versions are compatible but then it is in conflict with google-auth

google-colab==1.0.0
tensorflow==2.5.0
tensorflow-cloud==0.1.16

After installing latest version of google-auth as suggested by googleapis/google-api-python-client#933, I trapped into the following problem

$ pip install google_auth
Installing collected packages: google-auth
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
google-colab 1.0.0 requires google-auth~=1.4.0, but you have google-auth 1.32.0 which is incompatible.
google-api-python-client 1.12.8 requires six<2dev,>=1.13.0, but you have six 1.12.0 which is incompatible.
google-api-core 1.30.0 requires six>=1.13.0, but you have six 1.12.0 which is incompatible.
Successfully installed google-auth-1.32.0

If I install google-auth==1.4.0, then I find the following problem
ImportError: cannot import name 'mtls'