Firstly, I installed torch 1.1.0, and then I installed its' dependencies. So, I can import torch_scatter 1.2.0 however I get this error when importing torch_scatter.scatter_cuda:
import torch_scatter.scatter_cuda
ModuleNotFoundError: No module named 'torch_scatter.scatter_cuda'
I have Cuda v10 installed and I have a GPU. All of the requirements for this code were installed together through pip in one go on my virtual environment.
As pointed out by phd - it looks like the setup.py file of pytorch_scatter checks for and uses an available cuda installation automatically.
Also in the version you are using as seen here:
...
if CUDA_HOME is not None:
ext_modules += [
CUDAExtension('torch_scatter.scatter_cuda',
['cuda/scatter.cpp', 'cuda/scatter_kernel.cu'])
]
...
Might be a question of whether CUDA_HOME is available.
Installing from source might give you more information as suggested here.
Related
I changed my laptop lately, so I've been installing the packages I use. After I've installed chatterbot
C:\Users\aser>pip show chatterbot
Name: ChatterBot
Version: 1.0.4
Summary:
Home-page: None
Author: None
Author-email: None
License: None
Location: c:\users\aser\appdata\roaming\python\python38\site-packages
Requires: chatterbot-corpus, sqlalchemy, python-dateutil, mathparse, nltk, pint, pymongo
Required-by:
And I tried to use it:
from chatterbot import ChatBot
# Code goes here
I got a ModuleNotFound error:
Traceback (most recent call last):
File "c:/Users/aser/Desktop/pyapp01/app.py", line 22, in <module>
from chatterbot import ChatBot
ModuleNotFoundError: No module named 'chatterbot'
Any help?? Or is it installed in a location where it shouldn't be?? But all the other packages are installed in this same location too
There is a dedicated Github repo for Chatterbot, and I found the issue Not able to import chatterbot after successful installation #826.
Several other users had the same problems after installing Chatterbot via pip, so you might want to read the responses the developers gave them.
It seems there are issues with package dependencies and in some cases, de-installation and re-installation in a particular order seemed to have helped.
In general, however, I agree with the comments above that working in the Anaconda environment is much more convenient. I also used "pip" a lot when I started coding but gave up on it after I ran into too many installation issues.
The danger always is that you are creating potentially conflicting environments, and Anaconda saves you from such pitfalls.
Maybe you have the module but you don’t download it.
Juste type :
“pip install chatterbot”
on cmd.
Or if that dont work, try :
“import chatterbot”
I am trying to set up ortools on my Mac.
I installed via pip install ortools. I can verify that the package installed successfully.
conda list | grep ortools
WARNING: The conda.compat module is deprecated and will be removed in a future release.
ortools 7.1.6720 pypi_0 pypi
When I try to use the library, it looks like there are missing functions. I followed along with the example here:
https://developers.google.com/optimization/introduction/python
This returns an error:
from __future__ import print_function
from ortools.linear_solver import pywraplp
Traceback (most recent call last):
File "simple_ortools_example.py", line 2, in <module>
from ortools.linear_solver import pywraplp
ImportError: No module named ortools.linear_solver
I can import the module otherwise and look at the functions interactively:
>>> ortools.__
ortools.__cached__ ortools.__gt__( ortools.__path__
ortools.__class__( ortools.__hash__( ortools.__reduce__(
ortools.__delattr__( ortools.__init__( ortools.__reduce_ex__(
ortools.__dict__ ortools.__init_subclass__( ortools.__repr__(
ortools.__dir__( ortools.__le__( ortools.__setattr__(
ortools.__doc__ ortools.__loader__ ortools.__sizeof__(
ortools.__eq__( ortools.__lt__( ortools.__spec__
ortools.__file__ ortools.__name__ ortools.__str__(
ortools.__format__( ortools.__ne__( ortools.__subclasshook__(
ortools.__ge__( ortools.__new__( ortools.__version__
ortools.__getattribute__( ortools.__package__
I just used tab complete here to see what was available. Sure enough there is no linear_solver attached to the ortools module.
I'm a bit at a loss as to what to try next. Any advice would be apreciated.
I downgraded to an earlier version which solves the problem.
pip install ortools==6.7.4973
I faced the same issue today on Windows. Figured out that it is usually caused due to missing Microsoft Visual Studio 20** redistributables c++ (see here).
This is how I solved it (Python 3.7.6, ortools Version: 7.5.*).
Got the latest Microsoft Visual Studio 20** redistributables c++ from https://support.microsoft.com/en-my/help/2977003/the-latest-supported-visual-c
downloads
Installed it and Restarted the computer.
Uninstall the ortools 'python -m pip uninstall ortools'
Install back the ortools 'python -m pip install --user ortools'
Validated installation with python -c "from ortools.linear_solver import pywraplp"
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 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
I would like to try zeroRPC but couldn't install the package properly. I am using the latest python_xy distribution (python 2.7.3) under windows 7 and I must say I don't have much experience with installing new modules since the distribution is allready pretty complete.
I pulled the master zeroRPC-python from gitHub and tried to do "python setup.py install"
I had a first problem with something like "impossible to locate vcvarsall.bat". I solved it by installing mingw as explained here error: Unable to find vcvarsall.bat
Then I could run the install untill the end, but now, when I import zerorpc, I get the following ImportError (only the end of the stack):
C:\Python27\lib\site-packages\gevent-0.13.8-py2.7-win32.egg\gevent\greenlet.py in <module>()
4 import traceback
5 from gevent import core
----> 6 from gevent.hub import greenlet, getcurrent, get_hub, GreenletExit, Waiter
7 from gevent.timeout import Timeout
8
C:\Python27\lib\site-packages\gevent-0.13.8-py2.7-win32.egg\gevent\hub.py in <module>()
28
29 try:
---> 30 greenlet = __import__('greenlet').greenlet
31 except ImportError:
32 greenlet = __import_py_magic_greenlet()
ImportError: No module named greenlet
I wonder more generally if I am following the right procedure to install new packages (under windows) or if there is a simpler way (safer with dependancies) that I would be overlooking (easy_install)? I must say I am very new to this and any hints or link to the relevant documentation would be appreciated.
Thanks in advance,
Samuel
I was struggling with this question myself for a while now. The solution involves several components, and many answers out there seem to relate to different versions of those components that don't always play well together.
Here is the complete solution that worked for me, starting from an empty virtualenv:
mkvirtualenv myenv
python -m pip install --upgrade pip==6.0.8 wheel==0.24.0
pip install gevent-1.0.1-cp27-none-win32.whl pyzmq-13.1.0-cp27-none-win32.whl zerorpc==0.4.4
The first step installs wheel and upgrades pip itself to support wheel package installations. The next step installs binary wheels for gevent-1.0.1 (downloadable from this unofficial but extremely useful python windows binaries page) and pyzmq-13.1.0 (available here), and the zerorpc-0.4.4 package from source in the usual way.
Note that I hard-coded source package versions here (pip 6.0.8, wheel 0.24.0, zerorpc 0.4.4) because as I said other versions don't always follow the same build patterns. This may not be necessary and future versions may prove to work just as well together.
The final result for me:
(myenv) C:\work>pip freeze
gevent==1.0.1
greenlet==0.4.5
msgpack-python==0.4.5
pyzmq==13.1.0
wheel==0.24.0
zerorpc==0.4.4
I used a slightly different way, I am using Anaconda + Jupyter to run my python notebooks.
I used this link to zerorpc package, and installed using
conda install -c groakat zerorpc
which installed following -