I installed the Tensorflow(-gpu) version 1.8.0 as a pip package following these instructions. Upon installation, I opened a python3 console and typed in
import tensorflow as tf
Upon which,I get the following error
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/px2/.local/lib/python3.5/site-packages/tensorflow/__init__.py", line 24, in <module>
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
File "/home/px2/.local/lib/python3.5/site-packages/tensorflow/python/__init__.py", line 47, in <module>
import numpy as np
File "/home/px2/.local/lib/python3.5/site-packages/numpy/__init__.py", line 142, in <module>
from . import core
File "/home/px2/.local/lib/python3.5/site-packages/numpy/core/__init__.py", line 57, in <module>
from . import numerictypes as nt
File "/home/px2/.local/lib/python3.5/site-packages/numpy/core/numerictypes.py", line 111, in <module>
from ._type_aliases import (
File "/home/px2/.local/lib/python3.5/site-packages/numpy/core/_type_aliases.py", line 63, in <module>
_concrete_types = {v.type for k, v in _concrete_typeinfo.items()}
File "/home/px2/.local/lib/python3.5/site-packages/numpy/core/_type_aliases.py", line 63, in <setcomp>
_concrete_types = {v.type for k, v in _concrete_typeinfo.items()}
AttributeError: 'tuple' object has no attribute 'type'
A similar looking problem reported on StackOverflow has an answer that versions > 1.7 seems to not have this problem. But I seem to have it in 1.8
Can someone help me out?
In fact, this means you have multiple versions of numpy installed somehow (or there are multiple versions that are overlapping). You need to make sure that numpy is fully uninstalled from your system, then reinstall.
For me, I did
pip uninstall numpy
sudo apt-get purge python3-numpy
Then I had to go to /usr/local/lib/python3.6/dist-packages
and delete the numpy folders that were still there for some reason. After that, reinstalling numpy with
pip install numpy
worked. Here is the github issue I opened on it:
https://github.com/numpy/numpy/issues/12775
Had the same issue, fixed by going back to Numpy 1.15.4 Thanks wordsforthewise
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