Import error after compiling from source

[c13arm]

Describe the Issue

After installing Tensorflow from source I try to import it by typing: "python3" and then "import tensorflow as tf" which results in an error.

Steps to Reproduce

Followed the step-by-step guide by building from source. In the configure file I changed to python3 and library path 3.4. As well as using Bazel 0.8.

Hardware/Software Info

• Raspberry Pi model: Pi 2 Model B v1.1
• Operating System used: Raspian GNU/Linux version 8 (jessie)
• Version of Python used: 3.4.2
• SD card memory size: 16GB
• Size of USB/other device used as swap (if building from source): 16GB
• TensorFlow git commit hash (if building from source): 56422034fe039d7e8a57392957ed0c8b4b4efe56

Relevant Console Output/Logs

Python 3.4.2 (default, Oct 19 2014, 13:31:11)
[GCC 4.9.1] on linux
Type "help", "copyright", "credits" or "license" for more information.
--- import tensorflow as tf
Traceback (most recent call last):
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in
from tensorflow.python.pywrap_tensorflow_internal import *
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in
_pywrap_tensorflow_internal = swig_import_helper()
File "/usr/local/lib/python3.4/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/python3.4/imp.py", line 243, in load_module
return load_dynamic(name, filename, file)
ImportError: /usr/local/lib/python3.4/dist-packages/tensorflow/python/_pywrap_tensorflow_internal.so: undefined symbol: _ZN10tensorflow9ConcatCPUINS_8bfloat16EEEvPNS_10DeviceBaseERKSt6vectorISt10unique_ptrINS_6TTypesIT_Li2EiE11ConstMatrixESt14default_deleteIS9_EESaISC_EEPNS8_6MatrixE

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "", line 1, in
File "/usr/local/lib/python3.4/dist-packages/tensorflow/init.py", line 24, in
from tensorflow.python import * # pylint: disable=redefined-builtin
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/init.py", line 49, in
from tensorflow.python import pywrap_tensorflow
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 74, in
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in
from tensorflow.python.pywrap_tensorflow_internal import *
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in
_pywrap_tensorflow_internal = swig_import_helper()
File "/usr/local/lib/python3.4/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/python3.4/imp.py", line 243, in load_module
return load_dynamic(name, filename, file)
ImportError: /usr/local/lib/python3.4/dist-packages/tensorflow/python/_pywrap_tensorflow_internal.so: undefined symbol: _ZN10tensorflow9ConcatCPUINS_8bfloat16EEEvPNS_10DeviceBaseERKSt6vectorISt10unique_ptrINS_6TTypesIT_Li2EiE11ConstMatrixESt14default_deleteIS9_EESaISC_EEPNS8_6MatrixE

[tlkh]

#133 same issue

[victorguizien]

Same here.

[tlkh]

The fix for me was to compile TF r1.4 instead. It’s working perfectly fine.

[victorguizien]

The fix for me was to compile TF r1.4 instead. It’s working perfectly fine.

How do you do that?

[krejciadam]

The same problem here (RPi 3 with Ubuntu MATE). Happens with both tensorflow 1.7 and 1.6 for both Python 2.7 and 3.5. I'll keep trying with lower versions of TF - 1.5 and 1.4.

EDIT:
Tensorflow 1.5 with Python 3.5.2 works! Finally successful import.

[zhewang95]

I found that put libtensorflow_framework.so in your LD_LIBRARY_PATH can solve this problem.

[tianyufang1958]

I found that put libtensorflow_framework.so in your LD_LIBRARY_PATH can solve this problem.

Hello, I tried the same but no luck