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tensorflow_hub import error (most likely due to a circular import) on Mac M1 and Jupyter Notebook

The environments are Mac M1 and miniforge Conda with python3.8. I have completed the following commands to install tensorflow and tensorflow_hub:
conda install -c apple tensorflow-deps
pip install tensorflow-macos
pip install tensorflow-metal
# tried all the conda commands here (https://anaconda.org/conda-forge/tensorflow-hub) and the following
pip install tensorflow_hub
When importing tensorflow_hub on Jupyter Notebook, I got the following error:
cannot import name 'LinearSDCA' from partially initialized module
'tensorflow_estimator.python.estimator.canned.linear' (most likely due to a circular import)
(/myenv/lib/python3.8/site-packages/tensorflow_estimator/python/estimator/canned/linear.py)
When importing tensorflow_hub using the terminal, the error message was:
E tensorflow/core/lib/monitoring/collection_registry.cc:77] Cannot register 2 metrics with the same name: /tensorflow/api/keras/optimizers
...Traceback...
self._metric = self._metric_methods[self._label_length].create(*args)
tensorflow.python.framework.errors_impl.AlreadyExistsError: Another metric with the same name already exists.
Currently, the version of my tensorflow_estimator is 2.6.0, and the one of tensorflow_hub is 0.12.0. I tried changing the version of tensorflow_estimator. However, the only version of tensorflow-macos that I was able to install without an error was 2.6.0, which requires tensorflow_estimator 2.6.0. Appreciate your time and any help you can offer.

Is keras 2.7 installed? If so, please downgrade it via pip install -U keras==2.6.0 since that's not compatible with TF 2.6. TF 2.6.2 fixed the upper bounds for some dependencies so that version should work for you out-of-the-box.

Installing Tensorflow in M1 Mac

I followed this tutorial, https://www.youtube.com/watch?v=ykCY_tJbhNw to install tensorflow in a mac (M1 processor). However when I import tensrflow I get the following error. Any ideas what it might be?
The steps include,
installing brew (was alreadyy installed)
install conda (was already installed)
installing miniforge
download tensorflow-macos from github page
conda activate mlEnv
/Users/imantha/Software/tensorflow_macos/install_venv.sh -p
When prompted to input the path : /Users/imantha/Software/anaconda3/envs/mlEnv/
and select yes to install tensorflow
tensorflow was successfully installed and when typed conda list, the package is listed.
However when I start python session in the shell and type import tensorflow as tf, I get the following error
Traceback (most recent call last):
File "/Users/imantha/Software/anaconda3/envs/mlEnv/lib/python3.8/site-packages/tensorflow/python/pywrap_tensorflow.py", line 64, in <module>
from tensorflow.python._pywrap_tensorflow_internal import *
ImportError: dlopen(/Users/imantha/Software/anaconda3/envs/mlEnv/lib/python3.8/site-packages/tensorflow/python/_pywrap_tensorflow_internal.so, 6): no suitable image found. Did find:
/Users/imantha/Software/anaconda3/envs/mlEnv/lib/python3.8/site-packages/tensorflow/python/_pywrap_tensorflow_internal.so: mach-o, but wrong architecture
/Users/imantha/Software/anaconda3/envs/mlEnv/lib/python3.8/site-packages/tensorflow/python/_pywrap_tensorflow_internal.so: mach-o, but wrong architecture
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/imantha/Software/anaconda3/envs/mlEnv/lib/python3.8/site-
packages/tensorflow/__init__.py", line 41, in <module>
from tensorflow.python.tools import module_util as _module_util
File "/Users/imantha/Software/anaconda3/envs/mlEnv/lib/python3.8/site-
packages/tensorflow/python/__init__.py", line 39, in <module>
from tensorflow.python import pywrap_tensorflow as _pywrap_tensorflow
File "/Users/imantha/Software/anaconda3/envs/mlEnv/lib/python3.8/site-
packages/tensorflow/python/pywrap_tensorflow.py", line 83, in <module>
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File "/Users/imantha/Software/anaconda3/envs/mlEnv/lib/python3.8/site-
packages/tensorflow/python/pywrap_tensorflow.py", line 64, in <module>
from tensorflow.python._pywrap_tensorflow_internal import *
ImportError:
dlopen(/Users/imantha/Software/anaconda3/envs/mlEnv/lib/python3.8/site-
packages/tensorflow/python/_pywrap_tensorflow_internal.so, 6): no suitable image
found. Did find:
/Users/imantha/Software/anaconda3/envs/mlEnv/lib/python3.8/site-
packages/tensorflow/python/_pywrap_tensorflow_internal.so: mach-o, but wrong
architecture
/Users/imantha/Software/anaconda3/envs/mlEnv/lib/python3.8/site-
packages/tensorflow/python/_pywrap_tensorflow_internal.so: mach-o, but wrong
architecture
Failed to load the native TensorFlow runtime.
See https://www.tensorflow.org/install/errors
for some common reasons and solutions. Include the entire stack trace
above this error message when asking for help.

There are quite a few things to do in order to install TensorFlow on the Macbook M1 chip:
First, install Python 3.8.9 (I have tried on this version, not sure about any other versions)
Go to your project dir
install hdf5 by running brew install hdf5 if you do not have brew, you can download it here: https://brew.sh/
Above hdf5 install will spit out its location: use it and run:
export HDF5_DIR=<hdf5_location> for version 1.13.0 (my case) the following:
export HDF5_DIR=/opt/homebrew/Cellar/hdf5/1.13.0
create a virtual environment using virtualenv venv (choose whatever method for creating virtual environment or do not create virtual environment, it's fine. To install virtualenv, run pip3 install virtualenv)
(Skip this if not using virtual environment) Activate virtual environment by running: source venv/bin/activate
Now, we have everything require to install Tensorflow on mac with M1 chip including GPU version
To install Tensorflow and related libs, run following:
(If using virtual env, run following)
venv/bin/pip install --no-binary=h5py h5py
venv/bin/pip install tensorflow-macos
venv/bin/pip install tensorflow-metal
Not using virtual env, run following:
pip3 install --no-binary=h5py h5py
pip3 install tensorflow-macos
pip3 install tensorflow-metal
Now, your TensorFlow installation has been completed!
Try it out:
import tensorflow as tf
print("TF version:", tf.__version__)
print("Number GPUs Available: ", len(tf.config.experimental.list_physical_devices('GPU')))
print("Number CPUs Available: ", len(tf.config.experimental.list_physical_devices('CPU')))

Build Tensorflow from source by following the instructions mentioned here.
See this comment.
OR,
Try the workaround mentioned here.

The below way is the simplest and efficient way from which we can install tensorflow in Mac M1
NOTE: Mac M1 has ARM64 arch not X86_64 so we need to be very careful while downloading packages. Anaconda is available for Mac M1 users : https://repo.anaconda.com/archive/Anaconda3-2022.05-MacOSX-arm64.sh
Following are the steps to victory:
Download Anaconda from above link
create virtual env ( Optional )
pip install tensorflow-macos
Thats it!
Reference video link which may be useful : https://www.youtube.com/watch?v=5DgWvU0p2bk

If you want to use an Anaconda distribution, you might want to consider Miniconda3. Currently, I'm not sure whether it's possible to install TensorFlow using Anaconda.
Download Miniconda3 using this link. Both the .bash and the .pkg files should do - choose one of them. However, for M1, only the .bash file seem to have worked, while for M2 both worked.
If you used the .bash file above, then do the following to start the installation:
chmod +x ~/Downloads/Miniforge3-MacOSX-arm64.sh
sh ~/Downloads/Miniforge3-MacOSX-arm64.sh
Create a conda environment with Python 3.9: conda create -n tf_env python=3.9 (latest Python version didn't work as I'm writing this).
Install TensorFlow and dependencies:
conda install -c apple tensorflow-deps
python -m pip install tensorflow-macos
python -m pip install tensorflow-metal
At this point, you should make sure that the Numpy version is up to date to not run into errors when importing TensorFlow. I used version 1.23.3. python -m pip install numpy --upgrade.
Install jupyter notebook using conda install notebook.
If everything has been installed without errors, running the following code in a jupyter notebook should correctly import TensorFlow and print out the version as well as verifying the presence of a GPU.
import tensorflow as tf
gpu = len(tf.config.list_physical_devices('GPU')) > 0
print(f"TensorFlow Version: {tf.__version__}")
print("GPU is", "available" if gpu else "NOT available")

"import torch" giving error "from torch._C import *, DLL load failed: The specified module could not be found"

I am currently using Python 3.5.5 on Anaconda and I am unable to import torch. It is giving me the following error in Spyder:
Python 3.5.5 |Anaconda, Inc.| (default, Mar 12 2018, 17:44:09) [MSC v.1900
64 bit (AMD64)]
Type "copyright", "credits" or "license" for more information.
IPython 6.2.1 -- An enhanced Interactive Python.
import torch
Traceback (most recent call last):
File "<ipython-input-1-eb42ca6e4af3>", line 1, in <module>
import torch
File "C:\Users\trish\Anaconda3\envs\virtual_platform\lib\site-
packages\torch\__init__.py", line 76, in <module>
from torch._C import *
ImportError: DLL load failed: The specified module could not be found.
Many suggestions on the internet say that the working directory should not be the same directory that the torch package is in, however I've manually set my working directory to C:/Users/trish/Downloads, and I am getting the same error.
Also I've already tried the following: reinstalling Anaconda and all packages from scratch, and I've ensured there is no duplicate "torch" folder in my directory.
Pls help! Thank you!

I had this similar problem in windows 10...
Solution:
Download win-64/intel-openmp-2018.0.0-8.tar.bz2 from https://anaconda.org/anaconda/intel-openmp/files
Extract it and put the dll files in Library\bin into C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0\bin
Make sure your cuda directory is added to your %PATH% environment variable

I had the same problem. In my case I didn't want the GPU version of pytorch.
I uninstalled it. The version was pytorch: 0.3.1-py36_cuda80_cudnn6he774522_2 peterjc123.
The problem is that cuda and cudnn . then installed with the following command and now it works!
conda install -c peterjc123 pytorch-cpu

I also encountered the same problem when I used a conda environment with python 3.6.8 and pytorch installed by conda from channel -c pytorch.
Here is what worked for me:
1:) conda create -n envName python=3.6 anaconda
2:) conda update -n envName conda
3:) conda activate envName
4:) conda install pytorch torchvision cudatoolkit=9.0 -c pytorch
and then tested torch with the given code:
5:) python -c "import torch; print(torch.cuda.get_device_name(0))"
Note: 5th step will return your gpu name if you have a cuda compatible gpu
Summary: I just created a conda environment containing whole anaconda and then to tackle the issue of unmatched conda version I updated conda of new environment from the base environment and then installed pytorch in that environment and tested pytorch.
For CPU version, here is the link for my another answer: https://gist.github.com/peterjc123/6b804651288e76db7b5fabe5348e1f03#gistcomment-2842825
https://gist.github.com/peterjc123/6b804651288e76db7b5fabe5348e1f03#gistcomment-2842837

Had the same problem and fixed it by re-installing numpy with mkl (Intel's math kernel library)
https://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy
Download the right .whl for your machine. For me it was numpy‑1.14.5+mkl‑cp36‑cp36m‑win_amd64.whl (python 3.6, windows, 64-bit)
and then install using pip.
pip install numpy‑1.14.5+mkl‑cp36‑cp36m‑win_amd64.whl

I am using a Windows 10 computer with an NVIDIA GeForce graphics card. NVIDIA showed I had CUDA 10.1, but I was getting this error when running import torch in Jupyter Lab and suspected it had something to do with CUDA support.
I fixed this problem by downloading and installing the CUDA Toolkit directly from NVIDIA. It installed all required Visual Studio components. When I returned to Jupyter Lab, import torch ran without error.

Make sure you installed the right version of pytorch for your enviroment. I had the same problem I was using pytorch on windows but I had the default package installed which was meant for cuda 8. So I reinstalled the pytorch package for cpu which was what I needed.

I had the same issue with running torch installed with pure pip and solved it by switching to conda.
Following steps:
uninstall python 3.6 from python.org (if exists)
install miniconda
install torch in conda ("conda install pytorch -c pytorch")
Issue with pip installation:
import torch
File "C:\Program Files\Python35\lib\site-packages\torch\__init__.py", line 78, in <module>
from torch._C import *
ImportError: DLL load failed: The specified module could not be found.
After switching to conda it works fine. I believe the issue was resolved by conda through installing the vs_redist 2017
vs2017_runtime 15.4.27004.2010 peterjc123
But I have tried it w/o conda and it did not help. Could not find how to check (and tweak) Python's vs_redist.

Windows10 Solution(This worked for my system):
I was having the same issue in my system. Previously I was using Python 3.5 and I created a virtual environment named pytorch_test using the virtualenv module because I didn't want to mess up my tensorflow installation(which took me a lot of time). I followed every instruction but it didn't seem to work. I installed python 3.6.7 added it to the path. Then I created the virtual environment using:
virtualenv --python=3.6 pytorch_test
Then go to the destination folder
cd D:\pytorch_test
and activate the virtual environment entering the command in cmd:
.\Scripts\activate
After you do this the command prompt will show:
(pytorch_test) D:\pytorch_test>
Update pip if you have not done it before using:
(pytorch_test) D:\pytorch_test>python -m pip install --upgrade pip
Then go for installing numpy+mkl from the site:
https://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy
Choose the correct version from the list if you have python 3.6.7 go with the wheel file:
numpy‑1.15.4+mkl‑cp36‑cp36m‑win_amd64.whl (For 64 bit)
(Note if the whole thing doesnot work just go with simple numpy installation and mkl installation separately)
Then go for installing openmp using:
(pytorch_test) D:\pytorch_test>pip install intel-openmp
Now you are done with the prerequisites. To install pytorch go to the previous versions site:
https://pytorch.org/get-started/previous-versions/
Here select the suitable version from the list of Windows Binaries. For example I am having CUDA 9.0 installed in my system with python 3.6.7 so I went with the gpu version:
cu90/torch-1.0.0-cp36-cp36m-win_amd64.whl
(There are two available versions 0.4.0 and 1.0.0 for pytorch, I went with 1.0.0)
After downloading the file install it using pip(assuming the whl file is in D:).You have to do this from the virtual environment pytorch_test itself:
(pytorch_test) D:\pytorch_test>pip install D:\torch-1.0.0-cp36-cp36m-win_amd64.whl
Prerequisites like six, pillow will be installed automatically.
Then once everything is done, install the models using torchvision.
Simply type :
(pytorch_test) D:\pytorch_test>pip install torchvision
To check everything is working fine try the following script:
import torch
test = torch.rand(4, 7)
print(test)
If everything was good then it wont be an issue. Whenever there is an issue like this it is related to version mismatch of one or more dependencies. This also occurred during tensorflow installation.
Deactivate the following virtual environment using the command deactivate in the cmd:
(pytorch_test) D:\pytorch_test>deactivate
This is the output of pip list in my system:
Package Version
------------ -----------
intel-openmp 2019.0
mkl 2019.0
numpy 1.16.2
Pillow 6.0.0
pip 19.0.3
setuptools 41.0.0
six 1.12.0
torch 1.0.0
torchvision 0.2.2.post3
wheel 0.33.1
Hope this helps. This is my first answer in this community, hope you all find it helpful. I setup pytorch today in the afternoon after trying all sorts of combinations. The same import problem occurred to me while installing CNTK and tensorflow. Anyway I kept them separate in different virtual environments so that I can use them anytime.

No module named 'absl' error when I import tensorflow

I have anaconda installed on my Win 7 machine with a GTX1070.
I have been trying to install tensorflow gpu version for the past hour with no luck. I followed the tutorials on the tensorflow website to no success. They ask for you to install CUDA 8.0 and Cudll 6.0 which I do. I then add the location of cudnn64_6.dll, cudart64_80.dll and the libnvvp folder to my path variables. I then set up a virtual environment in conda and run the following command:
(tensorflow)C:> pip install --ignore-installed --upgrade tensorflow-gpu
I believe when I do this, it installs tensorflow 1.5 which seems to require CUDA tools 9.0 because I get an error saying that cudart64_80.dll cannot be found. So I update my CUDA tools to 9.0 and download the corresponding Cuda library. I then change my path variables. Now I dont get any missing dll errors however, I am now faced with the following error
ModuleNotFoundError: No module named 'absl'
Does anyone have any suggestions as to what I can do from here on?

This was caused by a Python version issue for me. I had the absl package installed on my Python 2.x, but my Python 3.x didn't have it. So I just made sure that both Pythons on my machine had the package installed:
pip install absl-py
pip3 install absl-py

Here is how I solved it in my end.
I was getting the error even though absl-py was already installed.
When I used pip install absl-py I got the following error:
Requirement already satisfied: absl-py in c:\users\stack\appdata\local\programs\python\python38\lib\site-packages (0.9.0)
Requirement already satisfied: six in c:\users\stack\appdata\local\programs\python\python38\lib\site-packages (from absl-py) (1.15.0)
I fixed it by reinstalling, i.e. by using:
pip uninstall absl-py
pip install absl-py
Then I faced a similar error with wrapt:
ModuleNotFoundError: No module named 'wrapt'
Fixed wrapt as well by uninstalling and then installing it again.
pip uninstall wrapt
pip install wrapt

Try:
conda install tensorflow
conda install -c anaconda absl-py
This worked for me.
For more information see: https://anaconda.org/anaconda/absl-py

I was facing the same issues and pip (or pip3) install absl-py was not working.
python --version showed I was using the wrong python version (2.7). So I changed the python version to 3.5 (https://askubuntu.com/questions/320996/how-to-make-python-program-command-execute-python-3)
This worked for me.

You can use the Anaconda GUI to install absl-py pack to solve the problem:
Select the uninstall columnand search absl-py to apply it.

Try another version of absl-py. My default absl version is 0.8.1 and python is 3.6:
$pip install absl-py==0.8.0
works for me.
Or change my environment python version to 3.7 also works.

This is quite late but still worth posting. What they don't tell you on the NVidia website is that there is one more path you need to add to your environment variables. The path is;
c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\extras\CUPTI\libx64
It may not be exactly the same on your installation as it depends on where you installed your CUDA tools.
You could also just use pip to install TF GPU version but pip installs TF 1.1 which is fairly old.

For me, "pip3 install absl-py" don't work:
I received: "ModuleNotFoundError: No module named 'absl' ", when I was trying import tensorflow:
import tensorflow
Traceback (most recent call last):
File "", line 1, in
File "/opt/anaconda3/lib/python3.6/site-packages/tensorflow/init.py", line 22, in
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
File "/opt/anaconda3/lib/python3.6/site-packages/tensorflow/python/init.py", line 63, in
from tensorflow.python.framework.framework_lib import * # pylint: disable=redefined-builtin
File "/opt/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/framework_lib.py", line 25, in
from tensorflow.python.framework.ops import Graph
File "/opt/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 55, in
from tensorflow.python.platform import app
File "/opt/anaconda3/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 24, in
from tensorflow.python.platform import flags
File "/opt/anaconda3/lib/python3.6/site-packages/tensorflow/python/platform/flags.py", line 25, in
from absl.flags import * # pylint: disable=wildcard-import
ModuleNotFoundError: No module named 'absl'
But if I compile absl-py from scratch, all goes right:
jk#D17:~/py/004/abseil-py-master$ python setup.py install
running install
running bdist_egg
running egg_info
.......
Using /opt/anaconda3/lib/python3.6/site-packages
Finished processing dependencies for absl-py==0.4.0
and then:
import tensorflow
is OK

Find the absl-py related folder in your site-packages folder and delete it. Try reinstalling pip3 install absl-py. I solved this way, I hope to be useful to you.

If you are using Anaconda make sure you install jupyter notebook from Home. if not you can import it from python CLI but it will give "No module named 'absl' error when importing TensorFlow"

In hopes that this might help someone in the future. I had similar issues installing/using tensorflow and by extension the absl python package. There were some issues relating to a pure pip installation so I had to find an alternate route.
This is the process I followed.
Download and install miniconda:
wget https://repo.continuum.io/miniconda/Miniconda3-3.7.0-Linux-x86_64.sh -O ~/miniconda.sh
bash ~/miniconda.sh -b -p $HOME/miniconda
add conda to PATH (Optional):
export PATH="$HOME/miniconda/bin:$PATH"
activate the conda environment:
source $HOME/miniconda/bin/activate
At this point you should have (base) as your sourced condo environment. From this environment perform the following:
conda create -n tensorflow python=3.7
activate tensorflow
Just to note, at this point you should be working in the (tensorflow) environment. It would have replaced the base environment. It is also the env where you would run your tensorflow related job (that failed and brought you here).
pip install --ignore-installed --upgrade tensorflow
pip install absl-py
At this point you might need to install additional dependencies such as numpy.
My goal was to be able to run tensorflow tools and this worked for my ends. Hope it may be useful to someone else in the future.

I got the No module named absl error when I tried to install tf-nightly 2.9.0.dev20220203 on my Ubuntu 20.04.3 machine.
Reinstalling absl-py did not directly worked.
While reinstalling absl, I got this error: ERROR: tf-nightly 2.9.0.dev20220203 has requirement gast<=0.4.0,>=0.2.1, but you'll have gast 0.5.3 which is incompatible.
So I uninstalled absl-py:
pip uninstall absl-py
Then downgraded gast:
pip uninstall gast
pip install gast==0.4.0
Finally,
pip install absl-py

Error while import tensorflow module

I try to learn TensorFlow with Python. My problem is with import TF module. Here is my configuration: Python 3.6.1, Windows 7 (with MSVCP140.dll)
I've installed TensorFlow by command (in power shell). It works.
python -m pip install --upgrade tensorflow
But when I run python environment and try import Tensor Flow
import tensorflow as tf
I get errors, this error raise another errors related with it, but at the beginning I want to resolve this first
Traceback (most recent call last): File
"C:\Users\Jacek\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\pywrap_tensorflow.py",
line 18, in swig_import_helper
fp, pathname, description = imp.find_module('_pywrap_tensorflow', [dirname(file)]) File
"C:\Users\Jacek\AppData\Local\Programs\Python\Python36\lib\imp.py",
line 296, in find_module
raise ImportError(_ERR_MSG.format(name), name=name) ImportError: No module named '_pywrap_tensorflow'

The problem was the cuDNN Library for me - for whatever reason cudnn-8.0-windows10-x64-v6.0 was NOT working - I used cudnn-8.0-windows10-x64-v5.1 - ALL GOOD!
My setup working with Win10 64 and the Nvidia GTX780M:
Be sure you have the lib MSVCP140.DLL by checking your system/path - if not get it here
Run the windows installer for python 3.5.3-amd64 from here - DO NOT try newer versions as they probably won't work
Get the cuDNN v5.1 for CUDA 8.0 from here - put it under your users folder or in another known location (you will need this in your path)
Get CUDA 8.0 x86_64 from here
Set PATH vars as expected to point at the cuDNN libs and python (the python path should be added during the python install)
If you run Windows 32 be sure to get the 32 bit versions of the files mentioned above.

Solution is downgrade Python to version 3.5, and install again TensorFlow. It works for me

This is a known error. There is a file named MSVCP140.DLL, that you will need in your system to run TensorFlow. Check if this file is in your %path%. If it is not, download Visual Studio C++. It is free and you can download it here: https://www.visualstudio.com/vs/cplusplus.

Solution:-
Don't suffer a lot. Simply downgrade your python version from 3.6.1 to 3.5.2 and
install tensorflow again.. you need not to upgrade the package.
"pip install tensorflow" will automatically download latest version (probably
1.0.1)
Steps:-
Step 1:- conda search python
Step 2:- conda install python=3.5.2
Step 3:- pip install tensorflow
Step 4:- import tensorflow as tf
Horray!!.. It works..
Hope you may not get the same error again!!

At first, I used an anaconda environment with Python 3.5 and PIP version 19 but had the same problem. so instead of PIP, I used Conda package manager:
conda install TensorFlow
it worked well after using Conda instead of PIP

If you have a GPU in your system and it is conflicting with the current set of libraries or throwing a cudnn error then you can add the following line in your code to disable the GPU
os.environ["CUDA_VISIBLE_DEVICES"] = "-1"
put this in your code and it should be fine.

pip install tensorflow-gpu
Install this package this helps me to solve my issues
or else use python 3.9.7