Installing via:
# For GPU-enabled version (only install this version if you have the CUDA sdk installed)
$ pip install https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.5.0-cp27-none-linux_x86_64.whl
Tried to run the alexnet_benchmark.py and it's looking for CUDA 7.0 specifically.
I have CUDA 7.5 on my machine.
Full stack:
Traceback (most recent call last):
File "alexnet_benchmark.py", line 21, in <module>
import tensorflow.python.platform
File "/home/awesomebox/anaconda/lib/python2.7/site-packages/tensorflow/__init__.py", line 4, in <module>
from tensorflow.python import *
File "/home/awesomebox/anaconda/lib/python2.7/site-packages/tensorflow/python/__init__.py", line 22, in <module>
from tensorflow.python.client.client_lib import *
File "/home/awesomebox/anaconda/lib/python2.7/site-packages/tensorflow/python/client/client_lib.py", line 35, in <module>
from tensorflow.python.client.session import InteractiveSession
File "/home/awesomebox/anaconda/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 11, in <module>
from tensorflow.python import pywrap_tensorflow as tf_session
File "/home/awesomebox/anaconda/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow.py", line 28, in <module>
_pywrap_tensorflow = swig_import_helper()
File "/home/awesomebox/anaconda/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow', fp, pathname, description)
ImportError: libcudart.so.7.0: cannot open shared object file: No such file or directoryTried the docker install, but the docker image is configured for a particular NVIDIA driver version, and doesn't work with others. (this is a known issue: docker driver version and system driver version must exactly match)
Installing via:
# For GPU-enabled version (only install this version if you have the CUDA sdk installed) $ pip install https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.5.0-cp27-none-linux_x86_64.whlTried to run the alexnet_benchmark.py and it's looking for CUDA 7.0 specifically.
I have CUDA 7.5 on my machine.
Full stack:
Tried the docker install, but the docker image is configured for a particular NVIDIA driver version, and doesn't work with others. (this is a known issue: docker driver version and system driver version must exactly match)