<h2 dir="auto">Cleanest reproduction:</h2>
<p dir="auto">Run in a GPU Google Colaboratory session:</p>
<div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="!pip3 install tensorflow-gpu==1.13.0rc2 numpy==1.15.0
!python3.6 -c 'import tensorflow'"><pre class="notranslate"><code class="notranslate">!pip3 install tensorflow-gpu==1.13.0rc2 numpy==1.15.0
!python3.6 -c 'import tensorflow'
</code></pre></div>
<p dir="auto">However, how I came across the issue:</p>
<p dir="auto"><strong>System information</strong></p>
<ul dir="auto">
<li>
<p dir="auto">Ubuntu 18.04</p>
</li>
<li>
<p dir="auto">Dell XPS 15 2016 laptop</p>
</li>
<li>
<p dir="auto">installed a binary using pip3 install tensorflow-gpu==1.13.0rc2</p>
</li>
<li>
<p dir="auto">TensorFlow version: 1.13.0rc2</p>
</li>
<li>
<p dir="auto">Python 3.6.5</p>
</li>
<li>
<p dir="auto">virtualenv with python3.6 and pip3</p>
</li>
<li>
<p dir="auto">N/A did not installed from source</p>
</li>
<li>
<p dir="auto">N/A did not compiled from source</p>
</li>
<li>
<p dir="auto">cuda 10.0 / libcudnn7_7.4.2.24-1+cuda10.0_amd64.deb</p>
</li>
<li>
<p dir="auto">GPU model and memory:</p>
<p dir="auto">NVIDIA-SMI 410.79       Driver Version: 410.79       CUDA Version: 10.0<br>
GeForce GTX 960M<br>
91MiB /  2004MiB</p>
</li>
</ul>
<h2 dir="auto">Problem:</h2>
<p dir="auto">Warning when importing tensorflow, only when numpy version is 1.15.0</p>
<div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="/home/herbert/.virtualenvs/actigraph/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
  return f(*args, **kwds)
/home/herbert/.virtualenvs/actigraph/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
  return f(*args, **kwds)"><pre class="notranslate"><code class="notranslate">/home/herbert/.virtualenvs/actigraph/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
  return f(*args, **kwds)
/home/herbert/.virtualenvs/actigraph/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
  return f(*args, **kwds)
</code></pre></div>
<h2 dir="auto">Commands to reproduce:</h2>
<div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="pip3 install tensorflow-gpu==1.13.0rc2 numpy==1.15.0
python3.6 -c 'import tensorflow'"><pre class="notranslate"><code class="notranslate">pip3 install tensorflow-gpu==1.13.0rc2 numpy==1.15.0
python3.6 -c 'import tensorflow'
</code></pre></div>
<h2 dir="auto">Commands to fix:</h2>
<div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="pip3 install tensorflow-gpu==1.13.0rc2 numpy==1.16.1
python3.6 -c 'import tensorflow'"><pre class="notranslate"><code class="notranslate">pip3 install tensorflow-gpu==1.13.0rc2 numpy==1.16.1
python3.6 -c 'import tensorflow'
</code></pre></div>
<p dir="auto">Or probably, leave the version of numpy out (<code class="notranslate">==1.16.1</code>) and include <code class="notranslate">-U</code> to upgrade to the newest numpy.</p>
<div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="pip3 install -U tensorflow-gpu==1.13.0rc2 numpy
python3.6 -c 'import tensorflow'"><pre class="notranslate"><code class="notranslate">pip3 install -U tensorflow-gpu==1.13.0rc2 numpy
python3.6 -c 'import tensorflow'
</code></pre></div>
<p dir="auto">If I run the following code: <a href="https://github.com/nunodsousa/tensorflow_matrix_inversion/blob/master/tf_matrix_inversion.ipynb">https://github.com/nunodsousa/tensorflow_matrix_inversion/blob/master/tf_matrix_inversion.ipynb</a> I obtain the inverse of a complex matrix. However, If I reduce 1E-4 times the values of the matrix, the results should be the same, apart of the 1E4 factor. However it returns similar errors to the one found in <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="263680176" data-permission-text="Title is private" data-url="https://github.com/tensorflow/tensorflow/issues/13558" data-hovercard-type="issue" data-hovercard-url="/tensorflow/tensorflow/issues/13558/hovercard" href="https://github.com/tensorflow/tensorflow/issues/13558">#13558</a>.<br>
Please go to Stack Overflow for help and support:</p>
<p dir="auto"><a href="https://stackoverflow.com/questions/tagged/tensorflow" rel="nofollow">https://stackoverflow.com/questions/tagged/tensorflow</a></p>
<p dir="auto">If you open a GitHub issue, here is our policy:</p>
<ol dir="auto">
<li>It must be a bug or a feature request.</li>
<li>The form below must be filled out.</li>
<li>It shouldn't be a TensorBoard issue. Those go <a href="https://github.com/tensorflow/tensorboard/issues">here</a>.</li>
</ol>
<hr>
<h3 dir="auto">System information</h3>
<ul dir="auto">
<li><strong>Have I written custom code (as opposed to using a stock example script provided in TensorFlow)</strong>:</li>
<li>OS Platform and Distribution (e.g., Linux Ubuntu 16.04)**: Ubuntu 17.10</li>
<li>**TensorFlow installed from (source or binary): binary</li>
<li>**TensorFlow version (use command below): 1.3</li>
<li>**Python version: 3.6</li>
<li>**CUDA/cuDNN version: 5.5</li>
<li><strong>GPU model and memory</strong>: Nvidia Gforce GTX 1080ti</li>
</ul>