# Tensorflow lnstallation - Solving environment: | warning libmamba Added empty dependency for problem type SOLVER\_RULE\_UPDATE failed

**URL:** <https://forum.anaconda.com/t/tensorflow-lnstallation-solving-environment-warning-libmamba-added-empty-dependency-for-problem-type-solver-rule-update-failed/88347>\
**Category:** Data Science, ML & AI\
**Created:** [November 19, 2024, 5:17am UTC](https://forum.anaconda.com/t/tensorflow-lnstallation-solving-environment-warning-libmamba-added-empty-dependency-for-problem-type-solver-rule-update-failed/88347 "2024-11-19T05:17:14Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![vijaysai.professiona](https://avatars.discourse-cdn.com/v4/letter/v/c2df01/32.png) [@vijaysai.professiona](https://forum.anaconda.com/u/vijaysai.professiona)\
**Post date:** [November 19, 2024, 5:17am UTC](https://forum.anaconda.com/t/tensorflow-lnstallation-solving-environment-warning-libmamba-added-empty-dependency-for-problem-type-solver-rule-update-failed/88347/1 "2024-11-19T05:17:14Z")

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(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:

- defaults
- [main](https://repo.anaconda.com/pkgs/main)
- [https://repo.anaconda.com/pkgs/r](https://repo.anaconda.com/pkgs/r)  
solver: libmamba  
ssl\_verify: false  
channel\_priority: flexible

Can anyone please assist me in fixing this issue?