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
Related
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.
I have installed python 3.7 and want to do some forecasting using fbprophet (https://facebook.github.io/prophet/docs/installation.html#python)
But I get this error when installing the package using the command (pip install fbprophet)
import pystan
File "e:\repos\usf\venv\lib\site-packages\pystan\__init__.py", line 9, in <module>
from pystan.api import stanc, stan
File "e:\repos\usf\venv\lib\site-packages\pystan\api.py", line 13, in <module>
import pystan._api # stanc wrapper
ImportError: DLL load failed: The specified module could not be found.
I have done some research and got to know that this is possible with conda. But I am looking for a solution without using conda.
Thanks in advance.
It says in the Pystan documentation that configuring a C++ compiler can be challenging on Windows. Following approach worked for me to install Pystan 2.17.1 and FBProphet 0.6:
Install C++ compiler, mingw-w64 (http://mingw-w64.org/doku.php/download) -> I selected this one https://sourceforge.net/projects/mingw-w64/files/
Add C:<MinGW_w64 installation directory>\bin to the PATH environment variable
Create a distutils.cfg file with the following contents in the folder \Lib\distutils in Python install directory (in venv):
[build]
compiler=mingw32
[build_ext]
compiler=mingw32
pip install numpy cython
pip install pystan==2.17.1
Verify the Pystan installation (https://pystan.readthedocs.io/en/latest/windows.html)
pip install fbprophet==0.6
Follow https://github.com/facebook/prophet/issues/1939
I had similar issues even after installing Mingw
conda install libpython m2w64-toolchain -c msys2
Solved all the errors and i am able to install fbprophet finally
Thanks
I had similar issues with my Python3.6 (anaconda)
I reinstalled anaconda for all users (with admin privileges) then
"conda install -c conda-forge pystan"
later i updated all other modules
it works without any error now
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.
I'm trying to install IPython notebook on OS X 10.10.2.
After all dependencies have been added, this error occurs:
File "/Library/Python/2.7/site-packages/jinja2/tests.py", line 14, in <module>
from jinja2._compat import text_type, string_types, integer_types
ImportError: cannot import name integer_types
How can I fix this?
How are you installing ipython?
If you have pip, are you using pip install ipython[all]?
I also recommend using virtualenv to start with a completely clean python2.7 install from scratch and see if you encounter the errors still. There may be some version compatibility conflicts on the system.
Alternative is you can install the Anaconda distribution which comes prepackaged with ipython and dependencies http://continuum.io/downloads
Trying to install OpenCV and running into an issue where attempting to import cv2 results in this output -
RuntimeError: module compiled against API version 9 but this version of numpy is 7
Traceback (most recent call last):
File "<pyshell#4>", line 1, in <module>
import cv2
ImportError: numpy.core.multiarray failed to import
I'm running on Windows 7 x64, Python v 2.7.9
Thanks!
The error is telling you that you have an out of date version of numpy. If you used pip to install things you can simply run pip install numpy -U, or download the appropriate version from their website.
In case
pip install -U numpy
doesn't work (even with sudo), you may want to make sure you're using the right version of numpy. I had the same "numpy.core.multiarray failed to import" issue, but it was because I had 1.6 installed for the version of Python I was using, even though I kept installing 1.8 and assumed it was installing in the right directory.
I found the bad numpy version by using the following command in my Mac terminal:
python -c "import numpy;print numpy.version;print numpy.file";
This command gave me the version and location of numpy that I was using (turned out it was 1.6.2). I went to this location and manually replaced it with the numpy folder for 1.8, which resolved my "numpy.core.multiarray failed to import" issue. Hopefully someone finds this useful!
I had a similar problem and I solved it by downgrading my numpy version.
What I did was:
pip install opencv-python
pip uninstall numpy
pip install numpy=1.18
This has worked for me using
Python 3.7
opencv-python 4.4.0.46
numpy 1.18.0
linux: sudo apt-get install python-numpy
if you are using ubuntu bionic beaver then try running: sudo apt-get install python-numpy
had the same issue, resolve by running the above command.
Hope it helps
In your environment you can try this command:
conda uninstall numpy
conda install -c conda-forge numpy
I use Python 3.7 # RPI 4.
For opencv to install properly I had to install the listed libraries below.
(Not every package was actually installed, after request)
Regarding Numpy, I think one should stick to the latest version.
For me what worked is to uninstall the existing version 1.16.2 and stick with the current stable 1.21.2.
Stackoverflow topic at missing libraries here: ImportError: libcblas.so.3: cannot open shared object file: No such file or directory.