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While attempting to follow this official tutorial in a Colab notebook, I run the first line of code to install tensorflow_cloud:
!pip install -q tensorflow_cloud
And get this error:
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. multiprocess 0.70.12.2 requires dill>=0.3.4, but you have dill 0.3.1.1 which is incompatible. google-colab 1.0.0 requires requests~=2.23.0, but you have requests 2.26.0 which is incompatible. datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible.
When I try to import tensorflow_cloud with import tensorflow_cloud as tfc I get this error:
AlreadyExistsError: Another metric with the same name already exists.
Isn't tensorflow cloud designed to be run in Colab notebooks? Why does it have dependency conflicts with the standard Colab environment?
The text was updated successfully, but these errors were encountered:
While attempting to follow this official tutorial in a Colab notebook, I run the first line of code to install tensorflow_cloud:
!pip install -q tensorflow_cloud
And get this error:
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. multiprocess 0.70.12.2 requires dill>=0.3.4, but you have dill 0.3.1.1 which is incompatible. google-colab 1.0.0 requires requests~=2.23.0, but you have requests 2.26.0 which is incompatible. datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible.
When I try to import tensorflow_cloud with import
tensorflow_cloud as tfc
I get this error:AlreadyExistsError: Another metric with the same name already exists.
Isn't tensorflow cloud designed to be run in Colab notebooks? Why does it have dependency conflicts with the standard Colab environment?
The text was updated successfully, but these errors were encountered: