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GPU version 1.4.1 for Linux doesn't work
I installed the wheel for Python 3.6 from here. However, when trying to import tensorflow, I see the error below. Even if I install mkl-dnn by hand from the repo, I get the same error.
$ ipython
Python 3.6.3 |Anaconda, Inc.| (default, Oct 13 2017, 12:02:49)
Type 'copyright', 'credits' or 'license' for more information
IPython 6.2.1 -- An enhanced Interactive Python. Type '?' for help.
In [1]: import tensorflow as tf
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
~/venvs/test/lib/python3.6/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__
~/venvs/test/lib/python3.6/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
~/venvs/test/lib/python3.6/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:
~/venvs/test/lib/python3.6/imp.py in load_module(name, file, filename, details)
242 else:
--> 243 return load_dynamic(name, filename, file)
244 elif type_ == PKG_DIRECTORY:
~/venvs/test/lib/python3.6/imp.py in load_dynamic(name, path, file)
342 name=name, loader=loader, origin=path)
--> 343 return _load(spec)
344
ImportError: libmklml_intel.so: 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-1-64156d691fe5> in <module>()
----> 1 import tensorflow as tf
~/venvs/test/lib/python3.6/site-packages/tensorflow/__init__.py in <module>()
22
23 # pylint: disable=wildcard-import
---> 24 from tensorflow.python import *
25 # pylint: enable=wildcard-import
26
~/venvs/test/lib/python3.6/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
~/venvs/test/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py in <module>()
70 for some common reasons and solutions. Include the entire stack trace
71 above this error message when asking for help.""" % traceback.format_exc()
---> 72 raise ImportError(msg)
73
74 # pylint: enable=wildcard-import,g-import-not-at-top,unused-import,line-too-long
ImportError: Traceback (most recent call last):
File "~/venvs/test/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "~/venvs/test/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "~/venvs/test/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 "~/venvs/test/lib/python3.6/imp.py", line 243, in load_module
return load_dynamic(name, filename, file)
File "~/venvs/test/lib/python3.6/imp.py", line 343, in load_dynamic
return _load(spec)
ImportError: libmklml_intel.so: 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.
Specifically check LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib is present in your .bashrc if you use bash or .zshrc of you use zsh
Should /usr/local/lib be checked for libraries by default? Anyway, I exported it and still no cookie. :(
Actually, in the virtual env:
$ ldd ./lib/python3.6/site-packages/tensorflow/python/_pywrap_tensorflow_internal.so
./lib/python3.6/site-packages/tensorflow/python/_pywrap_tensorflow_internal.so: /lib/x86_64-linux-gnu/libm.so.6: version `GLIBC_2.23' not found (required by ./lib/python3.6/site-packages/tensorflow/python/_pywrap_tensorflow_internal.so)
./lib/python3.6/site-packages/tensorflow/python/_pywrap_tensorflow_internal.so: /usr/lib/x86_64-linux-gnu/libstdc++.so.6: version `GLIBCXX_3.4.21' not found (required by ./lib/python3.6/site-packages/tensorflow/python/_pywrap_tensorflow_internal.so)
./lib/python3.6/site-packages/tensorflow/python/_pywrap_tensorflow_internal.so: /usr/lib/x86_64-linux-gnu/libstdc++.so.6: version `GLIBCXX_3.4.21' not found (required by /mnt/permanent/Priv/ndavid/venvs/test/./lib/python3.6/site-packages/tensorflow/python/../libtensorflow_framework.so)
linux-vdso.so.1 (0x00007ffcab377000)
/usr/local/lib/libsystat.so (0x00007f087edf1000)
/usr/local/lib/libproch.so (0x00007f087ebef000)
libtensorflow_framework.so => /mnt/permanent/Priv/ndavid/venvs/test/./lib/python3.6/site-packages/tensorflow/python/../libtensorflow_framework.so (0x00007f087da0d000)
libcublas.so.8.0 => /usr/local/cuda/lib64/libcublas.so.8.0 (0x00007f087b05d000)
libcusolver.so.8.0 => /usr/local/cuda/lib64/libcusolver.so.8.0 (0x00007f0877aed000)
libmklml_intel.so => /usr/local/lib/libmklml_intel.so (0x00007f086ecaa000)
libiomp5.so => /usr/local/lib/libiomp5.so (0x00007f086e906000)
libcudart.so.8.0 => /usr/local/cuda/lib64/libcudart.so.8.0 (0x00007f086e6a0000)
libm.so.6 => /lib/x86_64-linux-gnu/libm.so.6 (0x00007f086e39f000)
libdl.so.2 => /lib/x86_64-linux-gnu/libdl.so.2 (0x00007f086e19b000)
libpthread.so.0 => /lib/x86_64-linux-gnu/libpthread.so.0 (0x00007f086df7e000)
libgomp.so.1 => /usr/lib/x86_64-linux-gnu/libgomp.so.1 (0x00007f086dd68000)
librt.so.1 => /lib/x86_64-linux-gnu/librt.so.1 (0x00007f086db60000)
libstdc++.so.6 => /usr/lib/x86_64-linux-gnu/libstdc++.so.6 (0x00007f086d855000)
libgcc_s.so.1 => /lib/x86_64-linux-gnu/libgcc_s.so.1 (0x00007f086d63f000)
libc.so.6 => /lib/x86_64-linux-gnu/libc.so.6 (0x00007f086d294000)
/lib64/ld-linux-x86-64.so.2 (0x00007f0889bd2000)
libcuda.so.1 => /usr/lib/x86_64-linux-gnu/libcuda.so.1 (0x00007f086c8b0000)
libcudnn.so.6 => /usr/local/cuda/lib64/libcudnn.so.6 (0x00007f086334e000)
libcufft.so.8.0 => /usr/local/cuda/lib64/libcufft.so.8.0 (0x00007f085a500000)
libcurand.so.8.0 => /usr/local/cuda/lib64/libcurand.so.8.0 (0x00007f0856597000)
libnvidia-fatbinaryloader.so.367.48 => /usr/lib/x86_64-linux-gnu/libnvidia-fatbinaryloader.so.367.48 (0x00007f0856349000)
So it seems that actually, the library was found and linked against. But why the error message then?
What is your OS, and did you follow the instructions in the README when installing mkl?
# If you don't have cmake
sudo apt install cmake
git clone https://github.com/01org/mkl-dnn.git
cd mkl-dnn/scripts && ./prepare_mkl.sh && cd ..
mkdir -p build && cd build && cmake .. && make
sudo make install
echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib' >> ~/.bashrc
@danqing I followed all instructions. As for LD_LIBRARY_PATH, see my previous reply.
I faced the same problem.
Executing sudo ldconfig after all instructions fix the problem with package https://github.com/mind/wheels/releases/download/tf1.4.1-gpu/tensorflow-1.4.1-cp35-cp35m-linux_x86_64.whl
