I just installed tensorflow gpu v1.7 through pip. I also installed CUDA v9.0 and CUDNN v7 on a Windows 10.
My graphics card is the NVidia GTX 1060 6 GB with driver version: 22.21.13.8554
While trying to import tensorflow on Python 3.6.4, I get the following error:
Failed to load the native TensorFlow runtime
ImportError: DLL load failed: A dynamic link library (DLL) initialization routine failed
Full traceback:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Users\Technotronics Ltd\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\tensorflow\__init__.py", line 24, in <module>
from tensorflow.python import * # pylint: disable=redefined-builtin
File "C:\Users\Technotronics Ltd\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\tensorflow\python\__init__.py", line 49, in <module>
from tensorflow.python import pywrap_tensorflow
File "C:\Users\Technotronics Ltd\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 74, in <module>
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File "C:\Users\Technotronics Ltd\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "C:\Users\Technotronics Ltd\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 18, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "C:\Users\Technotronics Ltd\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 17, in swig_import_helper
return importlib.import_module(mname)
File "C:\Users\Technotronics Ltd\AppData\Local\conda\conda\envs\tensorflow\lib\importlib\__init__.py", line 126, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
ImportError: DLL load failed: A dynamic link library (DLL) initialization routine failed.
Legacy & low-end CPU (without AVX) support
If your CPU didn't support AVX instructions, you will get ImportError: DLL load failed: A dynamic link library (DLL) initialization routine failed. (Win 10) or ImportError: DLL load failed with error code -1073741795 (Win 7) when using tensorflow official release 1.6.0 and up (pip install tensorflow)
You can use pip install [filename].whl which file download from sse2 folder instead of using official AVX binary.
refer:
https://github.com/fo40225/tensorflow-windows-wheel
It worked for me
Related
I am trying to install tensorflow.
I have installed Cuda10.0 and cudnn, but I still get this error:
Traceback (most recent call last):
File "D:\python\lib\site-packages\tensorflow\python\platform\self_check.py", line 75, in preload_check
ctypes.WinDLL(build_info.cudart_dll_name)
File "D:\python\lib\ctypes\__init__.py", line 364, in __init__
self._handle = _dlopen(self._name, mode)
OSError: [WinError 126] 找不到指定的模块。
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "D:/Python_test/Python算法成品/机器学习/test/test.py", line 4, in <module>
import tensorflow as tf
File "D:\python\lib\site-packages\tensorflow\__init__.py", line 40, in <module>
from tensorflow.python.tools import module_util as _module_util
File "D:\python\lib\site-packages\tensorflow\python\__init__.py", line 49, in <module>
from tensorflow.python import pywrap_tensorflow
File "D:\python\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 30, in <module>
self_check.preload_check()
File "D:\python\lib\site-packages\tensorflow\python\platform\self_check.py", line 82, in preload_check
% (build_info.cudart_dll_name, build_info.cuda_version_number))
ImportError: Could not find 'cudart64_100.dll'. TensorFlow requires that this DLL be installed in a directory that is named in your %PATH% environment variable. Download and install CUDA 10.0 from this URL: `enter code here`https://developer.nvidia.com/cuda-90-download-archive
What am I missing or doing wrong?
To fix the issue, either: Install CUDA from September 2018, which comes with cudart64_100.dll and other 32 bit *100.dlls and 64 bit *100 libraries.
Or, if you want future support:
Install the latest NVIDIA GPU Computing Toolkit.
However, because the newest version of the CUDA library is cudart64_101.dll and TensorFlow 2.0 requires the older cudart64_100.dll, also install the CUDA from September 2018.
Then copy cudart64_100.dll library from the old install of CUDA to the new one.
Or just download the library from the file attached further below and copy it into your last CUDA installation directory in program files.
For more details please refer here
I just installed tensorflow 2.0 using the pip command:
pip install tensorflow-gpu==2.0.0-alpha0
The import error is shown as follows:
import tensorflow as tf
Traceback (most recent call last):
File "<ipython-input-1-64156d691fe5>", line 1, in <module>
import tensorflow as tf
File "C:\Anaconda\Anaconda3.7\lib\site-packages\tensorflow\__init__.py", line 27, in <module>
from tensorflow._api.v2 import audio
File "C:\Anaconda\Anaconda3.7\lib\site-packages\tensorflow\_api\v2\audio\__init__.py", line 8, in <module>
from tensorflow.python.ops.gen_audio_ops import decode_wav
File "C:\Anaconda\Anaconda3.7\lib\site-packages\tensorflow\python\__init__.py", line 49, in <module>
from tensorflow.python import pywrap_tensorflow
File "C:\Anaconda\Anaconda3.7\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 74, in <module>
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File "C:\Anaconda\Anaconda3.7\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "C:\Anaconda\Anaconda3.7\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "C:\Anaconda\Anaconda3.7\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
File "C:\Anaconda\Anaconda3.7\lib\imp.py", line 242, in load_module
return load_dynamic(name, filename, file)
File "C:\Anaconda\Anaconda3.7\lib\imp.py", line 342, in load_dynamic
return _load(spec)
ImportError: DLL load failed: The specified module could not be found.
Failed to load the native TensorFlow runtime.
The installation was done on the Windows 10 with python 3.7.1, and cuda 9.0.
I have successfully installed tensorflow-gpu 1.13 on my pc in the python 3.5 environment. It seems tensorflow 2.0 is compatible with python 3.7 Ultimate Guide to TensorFlow 2.0 in Python?
TF2.0 was built with CUDA 10 in mind. source
You either can install CUDA 10.0 with cuDNN SDK (>= 7.4.1) or build Tensorflow from sourse.
I previously had cuda9.0_0 and cudnn7.1.4, I wanted to run tf-alpha in gpu,from this tf guide:https://www.tensorflow.org/install/gpu I found I need cuDNN SDK (>= 7.4.1) and cuda10.so I uninstalled previous versions from control panel and installed Cuda compilation tools, release 10.1, V10.1.105.So, I should have imported tf succesfully,but not,I got the error.
And if I had
conda list cudnn
I got
# packages in environment at F:\Anaconda:
#
# Name Version Build Channel
cudnn 7.1.4 cuda9.0_0 anaconda
Though I installed cuda 10 and cudnn succesfully verified by running
nvcc --version
I have anaconda installed and had previous cuda and I used tf 1.12.0 gpu ago and my gpu is nvidia 1050ti
import tensorflow as tf
I expected it to import tensorflow 2.0 alpha gpu version
The error I got:
Traceback (most recent call last):
File "F:\Anaconda\lib\site-packages\tensorflow\python
\pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "F:\Anaconda\lib\site-packages\tensorflow\python
\pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "F:\Anaconda\lib\site-packages\tensorflow\python
\pywrap_tensorflow_internal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname,
description)
File "F:\Anaconda\lib\imp.py", line 243, in load_module
return load_dynamic(name, filename, file)
File "F:\Anaconda\lib\imp.py", line 343, in load_dynamic
return _load(spec)
ImportError: DLL load failed: The specified module could not be found.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "F:\Anaconda\lib\site-packages\tensorflow\__init__.py", line 27, in
<module>
from tensorflow._api.v2 import audio
File "F:\Anaconda\lib\site-packages\tensorflow\_api\v2\audio
\__init__.py", line 8, in <module>
from tensorflow.python.ops.gen_audio_ops import decode_wav
File "F:\Anaconda\lib\site-packages\tensorflow\python\__init__.py", line
49, in <module>
from tensorflow.python import pywrap_tensorflow
File "F:\Anaconda\lib\site-packages\tensorflow\python
\pywrap_tensorflow.py", line 74, in <module>
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File "F:\Anaconda\lib\site-packages\tensorflow\python
\pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "F:\Anaconda\lib\site-packages\tensorflow\python
\pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "F:\Anaconda\lib\site-packages\tensorflow\python
\pywrap_tensorflow_internal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname,
description)
File "F:\Anaconda\lib\imp.py", line 243, in load_module
return load_dynamic(name, filename, file)
File "F:\Anaconda\lib\imp.py", line 343, in load_dynamic
return _load(spec)
ImportError: DLL load failed: The specified module could not be found.
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.
my python version is 3.6.6
Note:
TensorFlow Version >= 1.13 requires CUDA 10.0 and TensorFlow Version < 1.13 (till TF 1.5) requires CUDA 9.0.
See Software requirements to know more https://www.tensorflow.org/install/gpu#software_requirements
Also requires NVIDIA® GPU card with CUDA® Compute Capability 3.5 or higher.
See Hardware requirements to know more
https://www.tensorflow.org/install/gpu#hardware_requirements
Hope this helps.
Today I installed tensorflow using the RTFM tensorflow dot org install linux,
I installed the VirtualEnv + Python3 + CPU and tested tensorflow Hello World, which worked fine.
Then I went on the nvidia path (GPU GTX 970) to install VirtualEnv + Python + GPU. RTFM (docs dot nvidia dot com cuda cuda-installation-guide-linux index dot html) , cuda-9.0, cuDDN 7, all PATH's are okay, .bashrc up-to-date, printenv LD_LIBRARY_PATH ok.
My GPU has been ok with the cuda scripts deviceQuery and bandwitdhTest. All post-installation-actions from the Nvidia checklist passed.
When I run Hello World in VirtualEnv+Python3+GPU, code below is what I get (cliffnote : tensorflow wants to use some cudalibrary-8.0 from the /usr/local/cuda-9.0/lib64 which is a 9.0 directory. I tried to add a symlink so cudalibrary-8.0 points to 9.0, but then I get the same message with another cudalibrary... doing this trick for all the cuda libraries is not what I call a fix ;-) )
alexandre#Martin-2:~/Documents/Ordinateur/VirtualEnv$ source tensorflow_py3_gpu/bin/activate
(tensorflow_py3_gpu) alexandre#Martin-2:~/Documents/Ordinateur/VirtualEnv$ python
Python 3.5.2 (default, Sep 14 2017, 22:51:06) [GCC 5.4.0 20160609] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> # Python
... import tensorflow as tf
Traceback (most recent call last):
File "/home/alexandre/Documents/Ordinateur/VirtualEnv/tensorflow_py3_gpu/lib/python3.5/site-packages/tensorflow/python/pywrap_tensorflow.py", line 41, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "/home/alexandre/Documents/Ordinateur/VirtualEnv/tensorflow_py3_gpu/lib/python3.5/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "/home/alexandre/Documents/Ordinateur/VirtualEnv/tensorflow_py3_gpu/lib/python3.5/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
File "/home/alexandre/Documents/Ordinateur/VirtualEnv/tensorflow_py3_gpu/lib/python3.5/imp.py", line 242, in load_module
return load_dynamic(name, filename, file)
File "/home/alexandre/Documents/Ordinateur/VirtualEnv/tensorflow_py3_gpu/lib/python3.5/imp.py", line 342, in load_dynamic
return _load(spec)
ImportError: libcublas.so.8.0: cannot open shared object file: No such file or directory
Last line above is about the cudalibrary-8.0 that obviously is NOT in the list of the cudalibrary-9.0. Below is the rest of it.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<stdin>", line 2, in <module>
File "/home/alexandre/Documents/Ordinateur/VirtualEnv/tensorflow_py3_gpu/lib/python3.5/site-packages/tensorflow/__init__.py", line 24, in <module>
from tensorflow.python import *
File "/home/alexandre/Documents/Ordinateur/VirtualEnv/tensorflow_py3_gpu/lib/python3.5/site-packages/tensorflow/python/__init__.py", line 49, in <module>
from tensorflow.python import pywrap_tensorflow
File "/home/alexandre/Documents/Ordinateur/VirtualEnv/tensorflow_py3_gpu/lib/python3.5/site-packages/tensorflow/python/pywrap_tensorflow.py", line 52, in <module>
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File "/home/alexandre/Documents/Ordinateur/VirtualEnv/tensorflow_py3_gpu/lib/python3.5/site-packages/tensorflow/python/pywrap_tensorflow.py", line 41, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "/home/alexandre/Documents/Ordinateur/VirtualEnv/tensorflow_py3_gpu/lib/python3.5/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "/home/alexandre/Documents/Ordinateur/VirtualEnv/tensorflow_py3_gpu/lib/python3.5/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
File "/home/alexandre/Documents/Ordinateur/VirtualEnv/tensorflow_py3_gpu/lib/python3.5/imp.py", line 242, in load_module
return load_dynamic(name, filename, file)
File "/home/alexandre/Documents/Ordinateur/VirtualEnv/tensorflow_py3_gpu/lib/python3.5/imp.py", line 342, in load_dynamic
return _load(spec)
ImportError: libcublas.so.8.0: cannot open shared object file: No such file or directory
Failed to load the native TensorFlow runtime.
See https tensorflow dot org slash install slash install_sources hashtag common_installation_problems for some common reasons and solutions. Include the entire stack trace above this error message when asking for help.
>>> hello = tf.constant('Hello, TensorFlow!')
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
NameError: name 'tf' is not defined
>>> sess = tf.Session()
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
NameError: name 'tf' is not defined
>>> print(sess.run(hello))
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
NameError: name 'sess' is not defined
>>> quit()
(tensorflow_py3_gpu) alexandre#Martin-2:~/Documents/Ordinateur/VirtualEnv$ deactivate`
--
Next day update
Not so clean fix : Create a link in /usr/local/cuda/lib64/ for every library with the wrong number version, linked to the right number version.
alexandre#Martin-2:/usr/local/cuda/lib64$ sudo ln -s libcurand.so.9.0 libcurand.so.8.0
I did this with five cuda libraries (libcusolver, libcublas, libcudart, libcurand, libcufft) and with the cuDNN library libcudnn (version 6 --> version 7).
Hello world! tensorflow worked... but if someone can tell me why tensorflow calls cuda-8.0 and cuDDN-6.0 libraries when I only installed cuda-9.0 and cuDDN-7.0, you're very welcome.
[SOLVED... OR NEARLY] UPDATE
I found https://github.com/tensorflow/tensorflow/issues/12052 that explains almost it all.
Cliffnote :
tensorflow-1.3 uses cuda-8.0 and cuDNN-6.0 (this is why these libraries are linked explicitly when I run tensorflow). I got tricked on the nvidia site that made me download the cuda-9.0 and cuDNN-7.0 versions, which will not be implemented in tensorflow-1.3.
tensorflow-1.4 will work with the cuda-9.0 and cuDNN-7.0 versions. tensorflow-1-4 may be available sometime in October 2017 (or anytime soon, check the link above).
Have you tried
sudo apt install cuda-8-0
?
It should download packages from http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604
Along with installing cudnn6 (the same way I installed cudnn7), it worked for me.
I'm having problems in importing tensorflow in python3:
>>> import tensorflow as tf
Traceback (most recent call last):
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 41, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
File "/usr/lib/python3.5/imp.py", line 242, in load_module
return load_dynamic(name, filename, file)
File "/usr/lib/python3.5/imp.py", line 342, in load_dynamic
return _load(spec)
ImportError: libcusolver.so.8.0: cannot open shared object file: No such file or directory
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/lib/python3.5/dist-packages/tensorflow/__init__.py", line 24, in <module>
from tensorflow.python import *
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/__init__.py", line 51, in <module>
from tensorflow.python import pywrap_tensorflow
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 52, in <module>
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 41, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
File "/usr/lib/python3.5/imp.py", line 242, in load_module
return load_dynamic(name, filename, file)
File "/usr/lib/python3.5/imp.py", line 342, in load_dynamic
return _load(spec)
ImportError: libcusolver.so.8.0: cannot open shared object file: No such file or directory
Failed to load the native TensorFlow runtime.
See https://www.tensorflow.org/install/install_sources#common_installation_problems
for some common reasons and solutions. Include the entire stack trace
above this error message when asking for help.
I am using Nvidia drivers version 381.09 beta, as version 375 has this bug: https://askubuntu.com/questions/896221/strange-artifacts-along-window-borders-after-waking-computer-from-sleep-mode?noredirect=1&lq=1
I have install CUDA 8.0 and cuDNN-v6.0:
rharish#rharish-GL552VW:~$ cd /usr/local
rharish#rharish-GL552VW:/usr/local$ ls
bin cuda etc include man share
computecpp cuda-8.0 games lib sbin src
Also, libcusolver.so.8.0 exists in /usr/local/cuda/lib64/:
libcusolver.so.8.0 in 'ls' output
I have uninstalled and reinstalled CUDA, cuDNN, and built tensorflow from sources. This problem has been occuring since updating the Nvidia drivers to version 381.09 beta. Any help?
Found the solution:
I reinstalled nvidia-381, CUDA-8.0 (using the runfile) and cuDNN 6.0. Then I added the following in my .bashrc:
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64/
No need for reinstallation. Install nvidia-cuda-dev:
sudo apt install nvidia-cuda-dev
Install cuDNN (which you download from https://developer.nvidia.com/cudnn), and set LD_LIBRARY_PATH accordingly (to cuda/lib64).
You could be having this problem if you installed the latest version of CUDA (9.0). If this is the case, you'll have the libcusolver.so.9.0 file or directory on your computer, but not 8.0, so python can't find it to import. Tensorflow doesn't yet support CUDA 9.0 (as of Oct 18th 2017).
To fix this, install CUDA 8.0, which can be found here. You can find all their legacy releases at the bottom of the main download page.
I faced this error due to incompatibility between Tensorflow version with CUDA.
I had tensorflow_gpu-1.3.0, CUDA 9 and cuDNN 7 which are incompatible as per this https://www.tensorflow.org/install/source#tested_build_configurations
so I uninstalled tensorflow_gpu-1.3.0 and installed tensorflow_gpu-1.5.0 and it worked fine
In addition to having the paths correctly set, the version of Tensorflow you have installed must be compatible with the CUDA driver version you have in your system otherwise it won't work.
See the link