Error after installing pip tensorflow-gpu with cuda 10
Question:
I want to use only the pip version of tensorflow as in conda version if tensorflow-gpu gets error code runs on cpu which is undesirable.
After installing cuda 10 and cudnn for ubuntu 18.0.4 when I import tensorflow it gives me the following error.
PS: I purged everything related to cuda and Nvidia and then installed the new Cuda 10.
Python 3.6.7 |Anaconda custom (64-bit)| (default, Oct 23 2018, 19:16:44)
[GCC 7.3.0] on linux
Type “help”, “copyright”, “credits” or “license” for more information.
>>> import tensorflow
Traceback (most recent call last):
File “/home/purav/anaconda3/envs/purav/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py”, line 58, in
from tensorflow.python.pywrap_tensorflow_internal import *
File “/home/purav/anaconda3/envs/purav/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py”, line 28, in
_pywrap_tensorflow_internal = swig_import_helper()
File “/home/purav/anaconda3/envs/purav/lib/python3.6/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/purav/anaconda3/envs/purav/lib/python3.6/imp.py”, line 243, in load_module
return load_dynamic(name, filename, file)
File “/home/purav/anaconda3/envs/purav/lib/python3.6/imp.py”, line 343, in load_dynamic
return _load(spec)
ImportError: libcublas.so.9.0: 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 “”, line 1, in
File “/home/purav/anaconda3/envs/purav/lib/python3.6/site-packages/tensorflow/init.py”, line 24, in
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
File “/home/purav/anaconda3/envs/purav/lib/python3.6/site-packages/tensorflow/python/init.py”, line 49, in
from tensorflow.python import pywrap_tensorflow
File “/home/purav/anaconda3/envs/purav/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py”, line 74, in
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File “/home/purav/anaconda3/envs/purav/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py”, line 58, in
from tensorflow.python.pywrap_tensorflow_internal import *
File “/home/purav/anaconda3/envs/purav/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py”, line 28, in
_pywrap_tensorflow_internal = swig_import_helper()
File “/home/purav/anaconda3/envs/purav/lib/python3.6/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/purav/anaconda3/envs/purav/lib/python3.6/imp.py”, line 243, in load_module
return load_dynamic(name, filename, file)
File “/home/purav/anaconda3/envs/purav/lib/python3.6/imp.py”, line 343, in load_dynamic
return _load(spec)
ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directory
ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directory
I don’t know why this error is there I don’t have cuda verison 9
Answers:
The current stable version of tensorflow-gpu available through pip is v1.12 which is built against CUDA 9.0. If you look at issue number 22706 of tensorflow github repository, the official binaries of upcoming tensorflow-gpu v1.13 are expected to be built against CUDA 10.
As of 23 January 2019, the rc0 version of tensorflow-gpu v1.13 has been released which has been built against CUDA 10. It can be installed using pip by specifying the version as follows:
pip install tensorflow-gpu==1.13.0rc0
Since CUDA 9 has been replaced with CUDA 10 in your system, the default tensorflow-gpu code is failing because it is version 1.12 and expecting CUDA 9 binaries to be present in the system. So currently, if you want to use tensorflow with CUDA 10, then the quickest solution is to upgrade your tensorflow version as specified above.
The issue is you haven’t fully satisfied the TensorFlow GPU requirements.
The full list is here on the TF website.
The main cause of your error seems that you don’t have the CUDA toolkit 9.0 configured well with the cuDNN SDK please note you need a version greater or equal to 7.2 and add it to your system path.
I am running python 3.7 and was able to install tensorflow with cuda 10 by running :
pip install --no-cache-dir https://github.com/evdcush/TensorFlow-wheels/releases/download/tf-1.12.0-py37-gpu-10.0/tensorflow-1.12.0-cp37-cp37m-linux_x86_64.whl
It happens when you install different versions of Tensorflow, Cuda and Cudnn
you need to install based on this link : Tensorflow GPU list
if you want to install TensorFlow proper way you can check my blog on this Blog Link
I want to use only the pip version of tensorflow as in conda version if tensorflow-gpu gets error code runs on cpu which is undesirable.
After installing cuda 10 and cudnn for ubuntu 18.0.4 when I import tensorflow it gives me the following error.
PS: I purged everything related to cuda and Nvidia and then installed the new Cuda 10.
Python 3.6.7 |Anaconda custom (64-bit)| (default, Oct 23 2018, 19:16:44)
[GCC 7.3.0] on linux
Type “help”, “copyright”, “credits” or “license” for more information.>>> import tensorflow
Traceback (most recent call last):
File “/home/purav/anaconda3/envs/purav/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py”, line 58, in
from tensorflow.python.pywrap_tensorflow_internal import *
File “/home/purav/anaconda3/envs/purav/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py”, line 28, in
_pywrap_tensorflow_internal = swig_import_helper()
File “/home/purav/anaconda3/envs/purav/lib/python3.6/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/purav/anaconda3/envs/purav/lib/python3.6/imp.py”, line 243, in load_module
return load_dynamic(name, filename, file)
File “/home/purav/anaconda3/envs/purav/lib/python3.6/imp.py”, line 343, in load_dynamic
return _load(spec)
ImportError: libcublas.so.9.0: 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 “”, line 1, in
File “/home/purav/anaconda3/envs/purav/lib/python3.6/site-packages/tensorflow/init.py”, line 24, in
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
File “/home/purav/anaconda3/envs/purav/lib/python3.6/site-packages/tensorflow/python/init.py”, line 49, in
from tensorflow.python import pywrap_tensorflow
File “/home/purav/anaconda3/envs/purav/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py”, line 74, in
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File “/home/purav/anaconda3/envs/purav/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py”, line 58, in
from tensorflow.python.pywrap_tensorflow_internal import *
File “/home/purav/anaconda3/envs/purav/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py”, line 28, in
_pywrap_tensorflow_internal = swig_import_helper()
File “/home/purav/anaconda3/envs/purav/lib/python3.6/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/purav/anaconda3/envs/purav/lib/python3.6/imp.py”, line 243, in load_module
return load_dynamic(name, filename, file)
File “/home/purav/anaconda3/envs/purav/lib/python3.6/imp.py”, line 343, in load_dynamic
return _load(spec)
ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directory
ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directory
I don’t know why this error is there I don’t have cuda verison 9
The current stable version of tensorflow-gpu available through pip is v1.12 which is built against CUDA 9.0. If you look at issue number 22706 of tensorflow github repository, the official binaries of upcoming tensorflow-gpu v1.13 are expected to be built against CUDA 10.
As of 23 January 2019, the rc0 version of tensorflow-gpu v1.13 has been released which has been built against CUDA 10. It can be installed using pip by specifying the version as follows:
pip install tensorflow-gpu==1.13.0rc0
Since CUDA 9 has been replaced with CUDA 10 in your system, the default tensorflow-gpu code is failing because it is version 1.12 and expecting CUDA 9 binaries to be present in the system. So currently, if you want to use tensorflow with CUDA 10, then the quickest solution is to upgrade your tensorflow version as specified above.
The issue is you haven’t fully satisfied the TensorFlow GPU requirements.
The full list is here on the TF website.
The main cause of your error seems that you don’t have the CUDA toolkit 9.0 configured well with the cuDNN SDK please note you need a version greater or equal to 7.2 and add it to your system path.
I am running python 3.7 and was able to install tensorflow with cuda 10 by running :
pip install --no-cache-dir https://github.com/evdcush/TensorFlow-wheels/releases/download/tf-1.12.0-py37-gpu-10.0/tensorflow-1.12.0-cp37-cp37m-linux_x86_64.whl
It happens when you install different versions of Tensorflow, Cuda and Cudnn
you need to install based on this link : Tensorflow GPU list
if you want to install TensorFlow proper way you can check my blog on this Blog Link