Tensorflow lnstallation - Solving environment: | warning libmamba Added empty dependency for problem type SOLVER_RULE_UPDATE failed

Technical Topics Data Science, ML & AI
1

(base) C:\Windows\system32>conda install conda-forge::tensorflow
Channels:

  • defaults
  • conda-forge
    Platform: win-64
    Collecting package metadata (repodata.json): done
    Solving environment: | warning libmamba Added empty dependency for problem type SOLVER_RULE_UPDATE
    failed

LibMambaUnsatisfiableError: Encountered problems while solving:

  • package tensorflow-1.13.1-h21ff451_4 requires tensorflow-base 1.13.1 py36_4, but none of the providers can be installed

Could not solve for environment specs
The following packages are incompatible
├─ pin-1 is installable and it requires
│ └─ python 3.12.* , which can be installed;
└─ tensorflow is not installable because there are no viable options
├─ tensorflow [0.12.1|1.0.0|…|1.9.0] would require
│ └─ python [3.5* |>=3.5,<3.6.0a0 ], which conflicts with any installable versions previously reported;
├─ tensorflow [1.10.0|1.13.1|…|1.9.0] would require
│ ├─ python >=3.6,<3.7.0a0 , which conflicts with any installable versions previously reported;
│ └─ tensorflow-base [1.13.1 py36_4|1.13.1 py36_5|…|1.14.0 py36h9f0ad1d_0], which requires
│ └─ python >=3.6,<3.7.0a0 , which conflicts with any installable versions previously reported;
├─ tensorflow [1.13.1|1.14.0] would require
│ ├─ python >=3.7,<3.8.0a0 , which conflicts with any installable versions previously reported;
│ └─ tensorflow-base [1.13.1 py37_7|1.14.0 py37hc8dfbb8_0], which requires
│ └─ python >=3.7,<3.8.0a0 , which conflicts with any installable versions previously reported;
└─ tensorflow [1.2.0|1.2.1|…|1.5.1] would require
└─ python 3.6* , which conflicts with any installable versions previously reported.

I’ve tried updating ‘conda’ using the below statement
conda update -n base conda
It didn’t fix the issue.

I’ve tried setting the default solver as ‘classic’
conda config --set solver classic
This time it gave the error “Solving environment: failed with initial frozen solve. Retrying with flexible solve.”

I’ve tried setting the channel priority as Flexible using the below statement
conda config --set channel_priority flexible
Even this didn’t fix the issue.

I was able to install and access tensorflow in virtual environment, but it isn’t working on Jupyter lab.

I’ve changed the solver back to ‘libmamba’. Below are the configuration details of my condarc file.
channels:

Can anyone please assist me in fixing this issue?