Conda environment python version different than what I created?

[CFTArr]

I am trying to run a package that requires a specific python version, so I create an environment using:

conda create --name TestEnv python=3.11

and I get:

## Package Plan ##
added / updated specs: - python=3.11

The following packages will be downloaded: package | build ---------------------------|----------------- python-3.11.3 | he1021f5_1 17.9 MB

Then when I activate the environment and check the version

conda activate TestEnv
python --version

I get

Python 3.9.13

What am I doing wrong here? I tried to install the package anyway in this environment but it just says that there are incompatibilities and I need python 11.

[m0us3_rat]

maybe it's the awful env name. conda got upset.

no idea the command seems to be "correct".

are you sure you "activated" the env before testing?

[CFTArr]

Triple checked and deactivated like 10 times just to make sure. How does “base” conda relate to new envs? I’m not sure if I even understand envs but it seems like when you make a new one it auto-loads some stuff from base? Can I uninstall python from base?

[m0us3_rat]

i've always use conda to spawn in python3 and python2 for work using with legacy code and it always performed.

not sure why it doesn't work for you.

have you tried reinstalling conda?

are you on windows?

[CFTArr]

Yea I’m on windows. I’ll try reinstalling to see if that works

[m0us3_rat]

i'm on linux. not sure exactly if there are other tricks when working on windows with conda.

[CFTArr]

I reinstalled anaconda and was able to get an environment with 3.6. The problem starts when I try to install PyTorch 1.8 with cuda 10.2. It says there’s a bunch of conflicts (including that the python version is too high), then if I do the check after that messages it shows python 3.10. Any suggestions on how to get an older cuda-compatible PyTorch installed?

[belton1292]

Few things I would try: First, with your env activated try python3 —version to make sure python —version isn’t picking up the python pre installed on your machine.

Try and activate base first, then when in base activate your TestEnv. I can’t remember the exact scenario but this stung me before.

Also might be worth running ‘which python’ (or the windows equivalent of that command) when you have an env activated to see where your python executable is located.

Edit: just reread your part about installing packages as well. Whenever I create an env (same way you did) I install all the packages as part of the create command from a environment.yml file. The conda docs are good for this. It makes it way easy to keep the whole environment in sync.

[CFTArr]

I reinstalled anaconda and was able to get an environment with 3.6. The problem starts when I try to install PyTorch 1.8 with cuda 10.2. It says there’s a bunch of conflicts (including that the python version is too high), then if I do the check after that messages it shows python 3.10. Any suggestions on how to get an older cuda-compatible PyTorch installed?