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ModuleNotFoundError: No module named 'numpy.core._multiarray_umath' (While installing TensorFlow)

I am following this tutorial to install TensorFlow(https://www.tensorflow.org/install/pip), but in the last command:

python -c "import tensorflow as tf; tf.enable_eager_execution(); print(tf.reduce_sum(tf.random_normal([1000, 1000])))"

I get this result:

ModuleNotFoundError: No module named 'numpy.core._multiarray_umath'
ImportError: numpy.core.multiarray failed to import

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "<frozen importlib._bootstrap>", line 980, in _find_and_load
SystemError: <class '_frozen_importlib._ModuleLockManager'> returned a result with an error set
ImportError: numpy.core._multiarray_umath failed to import
ImportError: numpy.core.umath failed to import
2019-02-16 12:56:50.178364: F tensorflow/python/lib/core/bfloat16.cc:675] Check failed: PyBfloat16_Type.tp_base != nullptr

I have already installed numpy as you can see:

pip3 install numpy
Requirement already satisfied: numpy in c:\programdata\anaconda3\lib\site-packages (1.15.4)

So why do I get this error message and how can I fix it on Windows 10?

like image 774
user3486308 Avatar asked Feb 16 '19 09:02

user3486308


3 Answers

I was having numpy 1.16.2 version but it was giving same error then i tried to install 1.16.1 and it worked for me.

like image 132
Urmay Shah Avatar answered Nov 08 '22 08:11

Urmay Shah


I upgraded numpy to 1.16.1 version and tried again the above command:

python -c "import tensorflow as tf; tf.enable_eager_execution(); print(tf.reduce_sum(tf.random_normal([1000, 1000])))"

and got this new result:

2019-02-16 13:12:40.611105: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
tf.Tensor(-1714.2305, shape=(), dtype=float32)
like image 18
user3486308 Avatar answered Nov 08 '22 07:11

user3486308


Upgrade the numpy to solve the error

pip install numpy --upgrade
like image 11
Terminator17 Avatar answered Nov 08 '22 09:11

Terminator17