I'm trying to run a library included in Keras, given that it's very power-consuming I'd like to use tensorflow-gpu as a backend. During import, I get this ImportError
Using TensorFlow backend.
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
~/.conda/envs/tensorflow/lib/python3.7/site-packages/tensorflow/python/pywrap_tensorflow.py in <module>
57
---> 58 from tensorflow.python.pywrap_tensorflow_internal import *
59 from tensorflow.python.pywrap_tensorflow_internal import __version__
~/.conda/envs/tensorflow/lib/python3.7/site-packages/tensorflow/python/pywrap_tensorflow_internal.py in <module>
27 return _mod
---> 28 _pywrap_tensorflow_internal = swig_import_helper()
29 del swig_import_helper
~/.conda/envs/tensorflow/lib/python3.7/site-packages/tensorflow/python/pywrap_tensorflow_internal.py in swig_import_helper()
23 try:
---> 24 _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
25 finally:
~/.conda/envs/tensorflow/lib/python3.7/imp.py in load_module(name, file, filename, details)
241 else:
--> 242 return load_dynamic(name, filename, file)
243 elif type_ == PKG_DIRECTORY:
~/.conda/envs/tensorflow/lib/python3.7/imp.py in load_dynamic(name, path, file)
341 name=name, loader=loader, origin=path)
--> 342 return _load(spec)
343
ImportError: libcublas.so.10.0: cannot open shared object file: No such file or directory
During handling of the above exception, another exception occurred:
ImportError Traceback (most recent call last)
<ipython-input-11-bbde2f34164a> in <module>
2 from torch.optim import Adam
3 from torch.utils.data import TensorDataset, DataLoader, RandomSampler, SequentialSampler
----> 4 from keras.preprocessing.sequence import pad_sequences
5 from sklearn.model_selection import train_test_split
6 from pytorch_pretrained_bert import BertTokenizer, BertConfig
~/.conda/envs/tensorflow/lib/python3.7/site-packages/keras/__init__.py in <module>
1 from __future__ import absolute_import
2
----> 3 from . import utils
4 from . import activations
5 from . import applications
~/.conda/envs/tensorflow/lib/python3.7/site-packages/keras/utils/__init__.py in <module>
4 from . import data_utils
5 from . import io_utils
----> 6 from . import conv_utils
7
8 # Globally-importable utils.
~/.conda/envs/tensorflow/lib/python3.7/site-packages/keras/utils/conv_utils.py in <module>
7 from six.moves import range
8 import numpy as np
----> 9 from .. import backend as K
10
11
~/.conda/envs/tensorflow/lib/python3.7/site-packages/keras/backend/__init__.py in <module>
87 elif _BACKEND == 'tensorflow':
88 sys.stderr.write('Using TensorFlow backend.\n')
---> 89 from .tensorflow_backend import *
90 else:
91 # Try and load external backend.
~/.conda/envs/tensorflow/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py in <module>
3 from __future__ import print_function
4
----> 5 import tensorflow as tf
6 from tensorflow.python.framework import ops as tf_ops
7 from tensorflow.python.training import moving_averages
~/.conda/envs/tensorflow/lib/python3.7/site-packages/tensorflow/__init__.py in <module>
22
23 # pylint: disable=g-bad-import-order
---> 24 from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
25
26 from tensorflow._api.v1 import app
~/.conda/envs/tensorflow/lib/python3.7/site-packages/tensorflow/python/__init__.py in <module>
47 import numpy as np
48
---> 49 from tensorflow.python import pywrap_tensorflow
50
51 # Protocol buffers
~/.conda/envs/tensorflow/lib/python3.7/site-packages/tensorflow/python/pywrap_tensorflow.py in <module>
72 for some common reasons and solutions. Include the entire stack trace
73 above this error message when asking for help.""" % traceback.format_exc()
---> 74 raise ImportError(msg)
75
76 # pylint: enable=wildcard-import,g-import-not-at-top,unused-import,line-too-long
ImportError: Traceback (most recent call last):
File "/home/canniz/.conda/envs/tensorflow/lib/python3.7/site-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "/home/canniz/.conda/envs/tensorflow/lib/python3.7/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "/home/canniz/.conda/envs/tensorflow/lib/python3.7/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/canniz/.conda/envs/tensorflow/lib/python3.7/imp.py", line 242, in load_module
return load_dynamic(name, filename, file)
File "/home/canniz/.conda/envs/tensorflow/lib/python3.7/imp.py", line 342, in load_dynamic
return _load(spec)
ImportError: libcublas.so.10.0: cannot open shared object file: No such file or directory
Failed to load the native TensorFlow runtime.
I see here --> ImportError: libcublas.so.10.0: cannot open shared object file: No such file or director that the problem could be an incompatible version of CUDA with tensorflow GPU.
So now my problem is the following:
Tensorflow GPU version is 1.13
I have installed CUDA 10.0 (following the instructions of compatibility) and the relative Cudnn in fact what I get from
nvcc --versionis `nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2018 NVIDIA Corporation Built on Sat_Aug_25_21:08:01_CDT_2018 Cuda compilation tools, release 10.0, V10.0.130
I installed Nvidia drivers running sudo apt-get install nvidia-driver-430 (which should be the right version for my Nvidia-GeForce-930mX)
As you can see, the CUDA version is 10.2. How is it possible? Is it possible that installing Nvidia drivers, it automatically set CUDA driver to 10.2 and then I manually installed CUDA toolkit 10.0 so now Tensorflow (or more specifically Keras, using tf backend) looks at the CUDA DRIVER version?
What could I do? Downgrade Nvidia drivers? Is it safe? Is it possible to downgrade only CUDA DRIVERS?
