Running tensorboard --logdir log_dir I get an error:
Traceback (most recent call last):
File "/home/user/.local/bin/tensorboard", line 11, in <module>
sys.exit(run_main())
File "/home/user/.local/lib/python3.6/site-packages/tensorboard/main.py", line 64, in run_main
app.run(tensorboard.main, flags_parser=tensorboard.configure)
File "/home/user/.local/lib/python3.6/site-packages/absl/app.py", line 300, in run
_run_main(main, args)
File "/home/user/.local/lib/python3.6/site-packages/absl/app.py", line 251, in _run_main
sys.exit(main(argv))
File "/home/user/.local/lib/python3.6/site-packages/tensorboard/program.py", line 228, in main
server = self._make_server()
File "/home/user/.local/lib/python3.6/site-packages/tensorboard/program.py", line 309, in _make_server
self.assets_zip_provider)
File "/home/user/.local/lib/python3.6/site-packages/tensorboard/backend/application.py", line 161, in standard_tensorboard_wsgi
reload_task)
File "/home/user/.local/lib/python3.6/site-packages/tensorboard/backend/application.py", line 194, in TensorBoardWSGIApp
return TensorBoardWSGI(plugins, path_prefix)
File "/home/user/.local/lib/python3.6/site-packages/tensorboard/backend/application.py", line 245, in __init__
raise ValueError('Duplicate plugins for name %s' % plugin.plugin_name)
ValueError: Duplicate plugins for name projector
What can be a reason of this problem?
If you have two versions of tensorboard installed in your system,you need to uninstall one of them.
I was stuck this for hours but I finally fixed it using:
Worked like a charm:
https://github.com/pytorch/pytorch/issues/22676
pip uninstall tb-nightly tensorboardX tensorboard
pip install tensorboard
I ran into the same issue after installing tensorflow==2.0.0-rc2. Uninstalling tensorboard did not help.
The culprit in my case was tb-nightly package:
#python3.7 -m pip list | grep tb
tb-nightly 1.15.0a20190806
After removing the package and reinstalling TensorFlow, tensorboard started to work properly.
I got same error, when I had two versions of tensorboard. In my Tensorflow 2.0 environmnet, except core Tensorflow lib, I could see other libs where installed from TF 1.14 version.
Do a pip list and see what versions of tensorflow libs are there. In my system I had
...
tensorboard 1.14.0
tensorflow-estimator 1.14.0
tensorflow-gpu 2.0.0rc0
tensorflow-serving-api 1.14.0
termcolor 1.1.0
tf-estimator-nightly 1.14.0.dev2019080601
...
Here is what I did:
pip uninstall tensorboard
pip install --force-reinstall tf-nightly-2.0-preview
Run the following code if it shows two tensorboard installed on your system remove one.
import pkg_resources
for entry_point in pkg_resources.iter_entry_points('tensorboard_plugins'):
print(entry_point.dist)
It took me a day to figure it out finally.
In my case there were two folders for tensorboard at
** C:\ProgramData\Anaconda3\Lib\site-packages\ **
Keep the tensorboard folder for your preferred version and delete the other.
For Ubuntu users, go to: /home/$USERNAME/.local/lib/python3.8/site-packages/ or whatever path is displayed in the error.
There you will see 2 folders with names something like this tensorboard and tensorboad-2.5.0.dist-info. Remove the second one.
One easy workaround for these sorts of issues is to call tensorboard via python -m tensorboard.main. For example, replace tensorboard --logdir ./model --port 6006 with python -m tensorboard.main --logdir ./model --port 6006. Much easier!
For me what worked was to uninstall the nightly build which is usually installed with pip since tf is usually installed with pip:
pip uninstall tb-nightly
then I installed tensorboard with conda
conda install -y -c conda-forge tensorboard
note I am using pytorch with tensorboard: https://pytorch.org/tutorials/recipes/recipes/tensorboard_with_pytorch.html
I did not need to install tensorflow but I did it in a second test since it was complaining about not having full features:
pip install tensorflow
since for some reason conda doesn't instlal tensorflow well (I tried it with conda-forge -c channel and it took to long to do anything).
Note you might need to uninstall more stuff as the answer https://stackoverflow.com/a/59408145/1601580:
pip uninstall tb-nightly tensorboardX tensorboard
suggested
I have faced the same problem. I found the problem creator was tb-nightly.
I had installed it to resolve "Cannot start tensorboard in Jupyter Notebook"
problem but after one day it arises "duplicate plugins for name projector" error.
I have tried pip uninstall tb-nightly but unfortunately it didn't work for me. The jupyter notebook was stacked in running.
Finally,I went to my site-packages folderC:\Users\User\anaconda3\Lib\site-packages and delete the tb-nightly folder,as well as from RecycleBin and it worked.
In short: You are very likely to have both tb-nightly and tensorboard installed. Nightly dependencies can easily mess thing sup.
Uninstall BOTH:
pip uninstall tb-nightly tensorboard
And install one that is compatible with your TF version (either tensorboard or tb-nightly):
pip install tensorboard # or tb-nightly
Related
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")
I'm trying to install tensorflow with pip in virtualenv in Anaconda for Windows 10. After activating my virtualenv, when I run pip install tensorflow, I get an error:
ERROR: Could not find a version that satisfies the requirement tensorflow (from versions: none)
ERROR: No matching distribution found for tensorflow
This might be because tensorflow doesn't support Python3.8 which I am using. The update of the post says that it should now work, but it doesn't for me. I tried what the answers suggest with no better luck.
So, I tried the following to downgrade to Python3.7:
conda install python=3.7.1
setting a virtualenv with Python3.7 version
creating a conda environment with Python3.7
installing an older version of Anaconda that contains Python3.7
But any of these attempts incredibly see Python switch back to version 3.8 when I activate the virtualenv. Even if I destroy the environment and create it again in the older Anaconda.
I also tried py -3.7 -m pip install tensorflow in the Anaconda with Python3.7 (it doesn't find the correct version of Python when using the more recent Anaconda). It lead to the error:
Cannot uninstall 'wrapt'. It is a distutils installed project and thus
we cannot accurately determine which files belong to it which would
lead to only a partial uninstall.
I fixed it running conda update wrapt and launched the tensorflow installation command again. After many package installations and removals, it displayed the following error:
ERROR: After October 2020 you may experience errors when installing or
updating packages. This is because pip will change the way that it
resolves dependency conflicts.
We recommend you use --use-feature=2020-resolver to test your packages
with the new resolver before it becomes the default.
pytest-doctestplus 0.2.0 requires pytest>=2.8.0, but you'll have
pytest 0.0.0 which is incompatible. pytest-astropy 0.5.0 requires
pytest>=3.1.0, but you'll have pytest 0.0.0 which is incompatible.
And in effect, I can see that the installation didn't work:
pip freeze > requirements.txt creates an empty requirements.txt
in the Python console, when I try to import keras, it resolves to:
Traceback (most recent call last):
File "C:\Users\my_private_path\venv\lib\site-packages\keras\__init__.py", line 3, in <module>
from tensorflow.keras.layers.experimental.preprocessing import RandomRotation
ModuleNotFoundError: No module named 'tensorflow'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Users\my_private_path\venv\lib\site-packages\keras\__init__.py", line 5, in <module>
raise ImportError(
ImportError: Keras requires TensorFlow 2.2 or higher. Install TensorFlow via `pip install tensorflow`
It seems that no matter how many paths I try, tensorflow doesn't like virtualenv in Anaconda. Would someone have a path that works?
I use virtual environments with tensorflow all the time and it works fine. First use Anaconda to create a new environment. From the Anaconda home page click on Environments.
When the Environment page appears click on create. A new window will pop up. Give the environment a name (for example call it tf), check the python checkbox. From the dropdown select python 3.7. A new environment called tf is created with python 3.7 installed.
Now go to the Anaconda prompt which is conda. type in conda activate tf. Now use conda to install tensorflow (do not use pip). Conda automatically installs cudnn 7.6.5 and CUDA Toolkit 10.1.243 and tensorflow 2.1.0. If you want tensorflow 2.2 first install 2.1.0 as described. Then use pip to install 2.2 with pip install tensorflow ==2.2.0. 2.2 is compatible with the toolkit and cudnn versions installed with 2.1. Conda can only install tensorflow up to version 2.1.0. Install whatever other packages you need using either pip or conda.
Discription
I am trying to install pytorch 0.4 on Windows10.
My enviroment settings:
- Windows10
- cuda9.0
- python 3.6
- pytorch 0.4
- anaconda
I tried by using both conda install -n myenv and pip install $path:whl and both failed.
Error
>>> import torch
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "D:\Anaconda\envs\py3.6_pytorch0.4\lib\site-packages\torch\__init__.py", line 80, in <module>
from torch._C import *
ImportError: DLL load failed:
I found the related a issue #4518 under pytorch but answers under that issue do not work for me.
What I have tried
add all conda related path to environment path
change the directory (cd)
install vs_runtime under this conda env
None of those works.
But if I install pytorch under conda's base environment, it works well.
So what's going on here?
Update:
When we tried to install pytorch on windows, a lot of packages need to be installed at the same time. We can simply follow the steps on official website [link](https://pytorch.org/），for python 3.6 and cuda9.0 the installation command is as
conda install pytorch torchvision cudatoolkit=9.0 -c pytorch
If we want to install former version of pytorch, we can assign the version, eg. 0.4 as
conda install pytorch=0.4 torchvision cudatoolkit=9.0 -c pytorch
After you create the new environment with conda, execute conda install -c pytorch pytorch to install pytorch.
pip does not work that well with external, non-Python dependencies. Not unlikely in your case path to the DLL is not set correctly (just a guess).
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
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