I've been working on learning artificial intelligence and how to code with Python.I was working on a project and I decided to update some packages of Python which were not new to work on then something happened and I can't compile my codes.I deleted Anaconda3 and set it up again but not worked. I've been seeing this problem which I wrote as a topic.If someone helps me,I would be appriciated to get some help.
>>> import tensorflow as tf
File "C:\Users\AliGalip\Anaconda3Yeni\lib\site-packages\tensorflow\__init__.py", line 24, in <module>
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
File "C:\Users\AliGalip\Anaconda3Yeni\lib\site-packages\tensorflow\python\__init__.py", line 63, in <module>
from tensorflow.python.framework.framework_lib import * # pylint: disable=redefined-builtin
File "C:\Users\AliGalip\Anaconda3Yeni\lib\site-packages\tensorflow\python\framework\framework_lib.py", line 104, in <module>
from tensorflow.python.framework.importer import import_graph_def
File "C:\Users\AliGalip\Anaconda3Yeni\lib\site-packages\tensorflow\python\framework\importer.py", line 32, in <module>
from tensorflow.python.framework import function
File "C:\Users\AliGalip\Anaconda3Yeni\lib\site-packages\tensorflow\python\framework\function.py", line 36, in <module>
from tensorflow.python.ops import resource_variable_ops
File "C:\Users\AliGalip\Anaconda3Yeni\lib\site-packages\tensorflow\python\ops\resource_variable_ops.py", line 35, in <module>
from tensorflow.python.ops import variables
File "C:\Users\AliGalip\Anaconda3Yeni\lib\site-packages\tensorflow\python\ops\variables.py", line 40, in <module>
class Variable(checkpointable.CheckpointableBase):
AttributeError: module 'tensorflow.python.training.checkpointable' has no attribute 'CheckpointableBase'
The same question has been posted as a GitHub issue. In particular, the solution suggested by #allanlavoie is likely relevant here as well:
Sounds like a half-updated version of TensorFlow. Could you try removing TensorFlow entirely (e.g. pip uninstall tf-nightly or whichever package is installed), making sure import tensorflow fails, then reinstalling?
Since it is apparent from your question that you're using Anaconda to manage your Python environments, if the above fails to solve your problem, you can try to install TensorFlow in a clean conda environment as follows:
Create a new environment through conda create --name tftest. (You can replace tftest with e.g. the name of your current project.)
Activate that new environment through activate tftest (or source activate tftest if you happen to be using MSYS2's bash, or something similar to that).
Install TF into this environment through conda install tensorflow.
Ensure that you're in the right environment through where python (which should produce a path containing "tftest").
Run Python through python.
import tensorflow as tf in a shell in that environment.
Since you are using PyCharm (cf. the comments for this answer), you will then want to set up PyCharm for using this new environment instead. Indeed, using a new environment for every project, while disk space-intensive, is a good way of avoiding dependency issues for these rather dependency-heavy numerical packages.
This is error may be dues to the version of the tensorflow, your code is not compatible with the latest version of the tensor flow. Try installing older version of Tensorflow such as 1.14.0 or 1.7.0 it worked for me.
pip3 uninstall tensorflow
And then:
pip3 install --upgrade "tensorflow==1.15"
Related
When I use Anaconda, importing numpy gives me the following error:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File"C:\Users\s140041\Anaconda3\envs\testenv\lib\site-packages\numpy\__init__.py", line 142, in <module>
from . import add_newdocs
File"C:\Users\s140041\Anaconda3\envs\testenv\lib\site-packages\numpy\add_newdocs.py", line 13, in <module>
from numpy.lib import add_newdoc
File "C:\Users\s140041\Anaconda3\envs\testenv\lib\site-packages\numpy\lib\__init__.py", line 8, in <module>
from .type_check import *
File"C:\Users\s140041\Anaconda3\envs\testenv\lib\site-packages\numpy\lib\type_check.py", line 11, in <module>
import numpy.core.numeric as _nx
File"C:\Users\s140041\Anaconda3\envs\testenv\lib\site-packages\numpy\core\__init__.py", line 26, in <module>
raise ImportError(msg)
ImportError:
Importing the multiarray numpy extension module failed. Most
likely you are trying to import a failed build of numpy.
If you're working with a numpy git repo, try `git clean -xdf` (removes all
files not under version control). Otherwise reinstall numpy.
Original error was: DLL load failed: The specified module could not be found.
I have already done a LOT of troubleshooting:
I do not think the issue is path-related, Since Anaconda is my only installation of python on this machine, and the problem persists after a fresh installation of windows. I have not added anaconda to Path right now, since I just use the Anaconda prompt for all my conda related commands.
I do not think it is a problem with the environments, Problem exists on base/root environment of conda as well as on a new conda environment.
Problem is not system-related, was able to reproduce it on 2 seperate systems with specified version.
Problem is not PyCharm related, running python.exe from the root folder also gives the same error.
Uninstalling / reinstalling through conda doesn't work.
Conda does seem to look in the right library for the packages, checked this through print(sys.path) in python.exe, it returns the local library of anaconda where all it's default packages are installed.
Only when I uninstall using conda and re-install using pip everything works fine... Am i doing something wrong here, or is conda broken in this installation of Anaconda?
I just switched from a normal python/venv/pip to Anaconda/conda/environments, but I must say this is not really a warm welcome... Even though I heard that the conda packagement system is better than pip/venv.
UPDATE:
I filed a bug report on github, which can be found here.
https://github.com/conda/conda/issues/7833
Very clear discussion of what went wrong can be found in the bug-report on GitHub:
https://github.com/conda/conda/issues/7833
Summarized, using PyCharm with an unactivated environment is unsupported. So either use anaconda prompt, activate your environment and launch PyCharm from there, or re-install anaconda/mini-conda with the option "add-to-path" checked
System info:
Ubuntu 16.04
Python 3.6.5 in anaconda3/envs/testcaffe/bin/python3
Anaconda3 4.5.2
CPU only
I installed Caffe2 by conda install -c caffe2 caffe2
for python to find onnx i set the PYTHONPATH to /home/username/WorkStuff/anaconda3/envs/testcaffe/lib/python3.6/site-packages/caffe2/python
importing onnx import onnx in python works fine, but when i tried to run converter script provided in tutorial i get this:
File "converter.py", line 2, in <module>
import caffe2.python.onnx.frontend
File "/home/username/WorkStuff/anaconda3/envs/testcaffe/lib/python3.6/site-
packages/caffe2/python/onnx/frontend.py", line 22, in <module>
from onnx import (defs, checker, helper, numpy_helper, mapping,
File "/home/username/WorkStuff/anaconda3/envs/testcaffe/lib/python3.6/site-
packages/caffe2/python/onnx/helper.py", line 9, in <module>
from onnx.backend.base import namedtupledict
File "/home/username/WorkStuff/anaconda3/envs/testcaffe/lib/python3.6/site-
packages/caffe2/python/onnx/backend.py", line 33, in <module>
from onnx import checker, GraphProto, TensorProto, AttributeProto,
ModelProto
ImportError: cannot import name 'checker'
checker.h is located in /home/username/WorkStuff/anaconda3/envs/testcaffe/include/onnx
although there are no ...Proto files in my testcaffe directory
if i just run Python and write import onnx.checker it returns ModuleNotFoundError: No module named 'onnx.checker'
seems like onnx cant import any of its modules
Is there anything i simply miss or don't understand?
Thank you for your help
Apparently the newer version of ONNX does not have these files.
I tested ONNX v1.0.0 and everything is there.
Please install it by using: conda install -c willyd onnx
This works on linux x64, but I'm not sure how to fix on other systems.
Initially I was getting this error (No Module name was found scipy) So I installed a Scipy wheel file. Now I don't get the same error any more but I get cannot import name "_ccallback_c".
The error seems to be triggered at the fourth line of code. I have done my research and saw that other people suggested to try an environment such as Anaconda. I have seen it work on idle, and that solution isn't ideal for me.
Traceback:
Traceback (most recent call last):
File "C:\Users\joesh\Desktop\Python\Machine Learning\1st tutorial.py", line 4, in <module>
from sklearn import preprocessing, cross_validation, svm
File "C:\Users\joesh\Desktop\Python\lib\site-packages\sklearn\__init__.py", line 134, in <module>
from .base import clone
File "C:\Users\joesh\Desktop\Python\lib\site-packages\sklearn\base.py", line 10, in <module>
from scipy import sparse
File "C:\Users\joesh\Desktop\Python\lib\site-packages\scipy\__init__.py", line 118, in <module>
from scipy._lib._ccallback import LowLevelCallable
File "C:\Users\joesh\Desktop\Python\lib\site-packages\scipy\_lib\_ccallback.py", line 1, in <module>
from . import _ccallback_c
ImportError: cannot import name '_ccallback_c'
And the code:
import pandas as pd
import quandl, math
import numpy as np
from sklearn import preprocessing, cross_validation, svm
from sklearn.linear_model import LinearRegression
I had the same error on USING Anaconda, so I am not sure if using it would make any difference.
I solved it by just uninstalling scipy and re-installing it using pip:
pip uninstall scipy
you'll get this message:
Uninstalling scipy-1.1.0: Would remove:
c:\users\thesh\appdata\local\programs\python\python36-32\lib\site-packages\scipy-1.1.0.dist-info*
c:\users\thesh\appdata\local\programs\python\python36-32\lib\site-packages\scipy*
Proceed (y/n)?
press y, and after pip is done, type:
pip install scipy
Having just moved to MSVS 2017 for Python (ML) development, I encountered this and other errors related to missing modules. The problem (and all related problems like it) has a frustratingly simple solution: when I originally started coding in Python, I installed everything from the command line - apparently, MSVS 2017 doesn't "see" those installations (and, in fact, they sometimes conflict, since the underlying python may be tapping older libs); so, the solution is to:
Use the command line version of 'pip uninstall ...' where '...' is the library having missing dependencies (scipy, in this case). Then, in the MSVS 2017 command line on the Python environment window (usually, top right in the default display configuration), reload the library (in this case, typing 'scipy' will format a command line for execution [in the list control below the command textbox]) that will read something like 'pip install scipy' (or whatever library needs to be reinstalled for MSVS).
You may have to do this for many (or all) of your previous Python package installations where these missing module errors persist.
Can be resolved, by uninstalling and reinstalling using pip on Anaconda Prompt:
pip uninstall scipy
After the uninstall, you can reinstall with:
pip install scipy
When you installed scipy with pip in a Python version 3.6 and later try to run your code with Python 3.7 you will encounter this problem. So one solution is to uninstall scipy
pip3 uninstall scipy
and reinstall it (using an environment with Python 3.7):
pip3 install scipy
This will make sure that the installed version of scipy is compatible with your version of Python.
PS: When you updated Python from Python 3.6 to Python 3.7 it might be necessary to also reinstall pip, so that pip will use the correct version of Python internally.
I ran into this when I was following these instructions on how to use a virtual environment to use the pre-built version of SciPy. The simplest solution for me was to simply comment out from . import _ccallback_c under scipy\_lib\_ccallback.py.
I first had the error with scipy. So I ran the command python -m pip install -user numpy scipy matplotlib ipython jupyter pandas sympy noseand it worked perfectly. I was installing everything with pip, so I decided to use Anaconda. I installed and checked to add to the PATH. From there, the same code that was executed before normally stopped working and displays the error similar to that of the question. I uninstalled Anaconda and it is now working again.
Erro:
$ winpty python ia.py
Traceback (most recent call last):
File "ia.py", line 11, in <module>
from sklearn import tree #importando a biblioteca e a árvore p/ o classifica
dor
File "C:\Users\ferna\Anaconda3\lib\site-packages\sklearn\__init__.py", line 13
4, in <module>
from .base import clone
File "C:\Users\ferna\Anaconda3\lib\site-packages\sklearn\base.py", line 11, in
<module>
from scipy import sparse
File "C:\Users\ferna\AppData\Roaming\Python\Python36\site-packages\scipy\__ini
t__.py", line 118, in <module>
from scipy._lib._ccallback import LowLevelCallable
File "C:\Users\ferna\AppData\Roaming\Python\Python36\site-packages\scipy\_lib\
_ccallback.py", line 1, in <module>
from . import _ccallback_c
ImportError: cannot import name '_ccallback_c'
Código:
from sklearn import tree #importando a biblioteca e a árvore p/ o classificador
#COLLLECT TRAINING DATA
features = [[140,1],[130,1],[150,0],[170,0]]
labels = [0,0,1,1]
# TRAIN CLASSIFIER
clf = tree.DecisionTreeClassifier() #Classificador
clf = clf.fit(features, labels) #algoritmo de decisão p/ encontrar padrões
#MAKE PREDICTIONS
print(clf.predict([[160, 0]])) #entrada de dados para o tratamento
Try this:
python -m pip install --upgrade scipy
After digging in, to give the full background on this, first of all SciPy relies on having NumPy already installed. The SciPy wheel's setup.py file uses NumPy functionality to configure and install the wheel.
SciPy setup.py:
...
if __name__ == '__main__':
from numpy.distutils.core import setup
setup(**configuration(top_path='').todict())
Secondly, when just trying to use the wheel, if you run into this error, you can see after inspecting the wheel's files that the reason is the binary wheels have a naming convention where the shared object file, here it's called _ccallback_c.so, is instead named based on the architecture that the binary wheel supports. When trying to import the shared object by file name in /_lib/_ccallback.py it can't find it, hence this error (line 1 in /_lib/_ccallback.py) because, instead of being named _ccallback_c.so it's called _ccallback_c.cpython-36m-x86_64-linux-gnu.so or another architecture variation:
from . import _ccallback_c
These file names seem to be an artifact of libraries that are using Cython and Cython's adherence to PEP 3149 (ABI version tagged .so files). But the easiest fix is to change the .whl extension to .zip and rename all those relevant .so files to not contain the architecture snippet. Then change .zip -> .whl and it should be good to go unless it's the wrong architecture for the platform you're using, in which case you need to download the appropriate platform wheel for your platform.
In Windows, I created a Conda virtual environment with the command
conda create -n test python=2.7 pandas scipy matplotlib numpy
Once it is created, I activated the virtual environment and went into a python interpreter. When trying to import numpy, I get the following error:
>>> import numpy
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Anaconda3\envs\test\lib\site-packages\numpy\__init__.py", line 180, in <module>
from . import add_newdocs
File "C:\Anaconda3\envs\test\lib\site-packages\numpy\add_newdocs.py", line 13, in <module>
from numpy.lib import add_newdoc
File "C:\Anaconda3\envs\test\lib\site-packages\numpy\lib\__init__.py", line 8,
in <module>
from .type_check import *
File "C:\Anaconda3\envs\test\lib\site-packages\numpy\lib\type_check.py", line 11, in <module>
import numpy.core.numeric as _nx
File "C:\Anaconda3\envs\test\lib\site-packages\numpy\core\__init__.py", line 14, in <module>
from . import multiarray
ImportError: DLL load failed: The specified module could not be found.
Any ideas what is going on here? Thanks!
Uninstall and install numpy again.
pip uninstall numpy
pip install numpy
Then try import again, it should work. That is what I did
Unlike #Rafael, for me, libiomp5md.dll wasn't the issue. I installed Dependency Walker to investigate what was going on. Even though the dll versions were different, but Dependency Walker said it was okay.
What was wrong though, was that mkl_intel_thread.dll had warnings (red icon). If you're using Win 8++, ignore the api-win and ext-ms issues as Dependency Walker wasn't updated for new Windows versions and doesn't recognise Windows new APIs.
My solution is to copy all mkl_*.dlls from the former to the latter:
\Anaconda2\Library\bin
\Anaconda2\Lib\site-packages\numpy\core
I was able to import numpy and sklearn after that.
It seems the proper way to fix this is to do:
conda install msvc_runtime
If you are in a virtual environment, add this package there.
For my case, I have also the import numpy DLL error in anaconda3, and Decrayer (Nov 28) provided the best solution: I had the same error except for Anaconda3: just added the path \Anaconda3\Library\bin to your Windows 10 path variable and then it worked.
I have been trying to install anaconda3.7.1 or 3.7.0 without luck, going to full length of restarting the PC after the key steps to make sure the DLL is no longer in use in memory. Ultimately, thanks to decrayer, now numpy works for me!
For me this was solved by adding the following paths to my system path variable.
C:\Users\UserName\Anaconda3\
C:\Users\UserName\Anaconda3\bin
C:\Users\UserName\Anaconda3\Scripts
C:\Users\UserName\Anaconda3\Library\mingw-w64\bin (not strictly necessary)
C:\Users\UserName\Anaconda3\Library\bin
Before adding them explicitly in the system path variable, you can perform a test by adding these paths temporarily:
base_path = r"C:\Users\UserName\Anaconda3"
path = os.pathsep.join([os.path.join(base_path, i) for i in [r"", r"bin", r"Scripts", r"Library\mingw-w64\bin", r"Library\bin"]])
os.environ["PATH"]+=os.pathsep+path
Thanks to this post on PyCharm support.
For the record, I had the same error here (Python 3.5 64-bit on Windows 10), and this page helped me find the solution. The problem was a conflict with libiomp5md.dll, which existed on two locations:
C:\Windows\System32\libiomp5md.dll
C:\Anaconda3\Library\bin\libiomp5md.dll
Python was trying to use the version in System32 folder, which was an old version. I removed it (renamed) and now it uses the correct version, on Anaconda3 folder, and now I can import numpy without the import error.
I am trying to learn sklearn and I encounter the below error when I run import sklearn . However, when I run the exact same code using python 2.7, I do not encounter any errors.
import sklearn
File "/usr/local/lib/python3.2/dist-packages/sklearn/__init__.py", line 38, in <module>
from .base import clone
File "/usr/local/lib/python3.2/dist-packages/sklearn/base.py", line 10, in <module>
from scipy import sparse
File "/usr/lib/python3/dist-packages/scipy/__init__.py", line 124, in <module>
pkgload(verbose=SCIPY_IMPORT_VERBOSE,postpone=True)
File "/usr/local/lib/python3.2/dist-packages/numpy/_import_tools.py", line 177, in __call__
for package_name in self._get_sorted_names():
File "/usr/local/lib/python3.2/dist-packages/numpy/_import_tools.py", line 114, in _get_sorted_names
for name in depend_dict.keys():
RuntimeError: dictionary changed size during iteration
I did some googl'ing and followed the instructions from the following link and ran sudo pip3 install git+https://github.com/scikit-learn/scikit-learn.git. The installation went fine, however, I continue to get the error.
https://askubuntu.com/questions/449326/installation-error-in-sklearn-for-python3
How does one go about fixing this issue. (other than working with Python2.7)
It's a bug that's that will be fixed in the next NumPy (v 1.9.0) release:
https://github.com/numpy/numpy/commit/5025c40965fa5fb2b591f07c152b966dc7b730f0
There is already a patch available on github, but it hasn't been bundled into a patch release yet. Your options:
Wait for the 1.9.0 release to fix for Python 3, and use Python 2 in the meantime.
Simply apply the same changes to the two lines in the link I provided to your current version of Numpy
Install Numpy 1.9.0 beta.