Environment errors when reinstalling anaconda and initializing GPU extensions. where is my mistake?

Question

It appears i have definitively disrupted my environment and disabled the access for my GPU to process models, the origin of the issue was when i removed all environments and installed 2 to consolidate the available kernel for the current projects i am working upon. However instead i seem to have installed inconsistencies and conflicts regardless of choosing the most recent firmware updates for the packages and reinstalling each exactly as before. except now the packages periodically are not pulled from their directories and the gpu is not being access to its full capacity for processing(rather not at all, the notebook is still relying upon my CPU). if any one today has any time for aiding me in this trivial endeavor we could set up a brief zoom call and proceed. keep me apprised or DM me here an i shall transmit a invite link to a meeting.

pandas first, then matplotlib, and now tensorflow are the libraries in contention atm

Solutions i have attempted which actually are linked to my previous posts in the server here for other issues, -reinstall anaconda 3 and remove all previous environments (i had a total of 7 active initially) to then establish 2 environments for accessing each library for the separate projects. -initialize the gpu access via cuda connection with nvidia and installation of the anaconda ipykernel, -remove all libraries and install them separately upon each env pertaining to the specific project issues thus far; command line inconsistencies with confirming the existence of specific libraries, regardless of them being installed(ie ghost libraries,) not processing models with GPU regardless of the kernel being install upon the env returning errors stating the libraries do not exist,(slight continuation of first issue)

active environment : gpu2
    active env location : C:\Users\CSAS\anaconda3\envs\gpu2
            shell level : 1
       user config file : C:\Users\CSAS\.condarc
 populated config files : C:\Users\CSAS\.condarc
          conda version : 4.12.0
    conda-build version : 3.18.11
         python version : 3.7.6.final.0
       virtual packages : __cuda=11.6=0
                          __win=0=0
                          __archspec=1=x86_64
       base environment : C:\Users\CSAS\anaconda3  (writable)
      conda av data dir : C:\Users\CSAS\anaconda3\etc\conda
  conda av metadata url : None
           channel URLs : https://repo.anaconda.com/pkgs/main/win-64
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/r/win-64
                          https://repo.anaconda.com/pkgs/r/noarch
                          https://repo.anaconda.com/pkgs/msys2/win-64
                          https://repo.anaconda.com/pkgs/msys2/noarch
          package cache : C:\Users\CSAS\anaconda3\pkgs
                          C:\Users\CSAS\.conda\pkgs
                          C:\Users\CSAS\AppData\Local\conda\conda\pkgs
       envs directories : C:\Users\CSAS\anaconda3\envs
                          C:\Users\CSAS\.conda\envs
                          C:\Users\CSAS\AppData\Local\conda\conda\envs
               platform : win-64
             user-agent : conda/4.12.0 requests/2.22.0 CPython/3.7.6 Windows/10 Windows/10.0.19041
          administrator : False
             netrc file : None
           offline mode : False