Unable to pip install tensorflow_cloud in Colab
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Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
- Issue type
- Bug
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- python, tensorflow
- Domain
- cloud, machine-learning
Research direction
Start by reproducing the pip install and import steps in the linked Colab tutorial, then inspect tensorflow_cloud's package dependencies against the standard Colab environment. Done means the documented installation and import complete without the reported dependency conflicts or duplicate-metric error.
Written by the indexing model from the issue text.
Description
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?
- Dominant language
- Python
- Stars
- 383
- Forks
- 93
- Avg merge
- 1d 3h
- Merged PRs (30d)
- 1
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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