<p dir="auto">Hi all,</p>
<p dir="auto">Im unable to import keras or tensorflow in jupyter:</p>
<h3 dir="auto">System information</h3>
<ul dir="auto">
<li><strong>OS Platform and Distribution (e.g., Linux Ubuntu 16.04)</strong>: Windows 10 Pro</li>
<li><strong>Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue happens on mobile device</strong>: HP Omen, i7 7700HQ, 16GB RAM</li>
<li><strong>TensorFlow installed from (source or binary)</strong>: pip install tensorflow-gpu</li>
<li><strong>TensorFlow version (use command below)</strong>: 1.13.1</li>
<li><strong>Python version</strong>: 3.7.3</li>
<li><strong>CUDA/cuDNN version</strong>: 10.1</li>
<li><strong>GPU model and memory</strong>: GTX 1060 laptop</li>
<li><strong>Exact command to reproduce</strong>: import tensorflow as tf</li>
</ul>
<p dir="auto">---TRACE---</p>
<hr>
<p dir="auto">ImportError                               Traceback (most recent call last)<br>
~\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow.py in <br>
57<br>
---&gt; 58   from tensorflow.python.pywrap_tensorflow_internal import *<br>
59   from tensorflow.python.pywrap_tensorflow_internal import <strong>version</strong></p>
<p dir="auto">~\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py in <br>
27             return _mod<br>
---&gt; 28     _pywrap_tensorflow_internal = swig_import_helper()<br>
29     del swig_import_helper</p>
<p dir="auto">~\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py in swig_import_helper()<br>
23             try:<br>
---&gt; 24                 _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)<br>
25             finally:</p>
<p dir="auto">~\AppData\Local\Continuum\anaconda3\lib\imp.py in load_module(name, file, filename, details)<br>
241         else:<br>
--&gt; 242             return load_dynamic(name, filename, file)<br>
243     elif type_ == PKG_DIRECTORY:</p>
<p dir="auto">~\AppData\Local\Continuum\anaconda3\lib\imp.py in load_dynamic(name, path, file)<br>
341             name=name, loader=loader, origin=path)<br>
--&gt; 342         return _load(spec)<br>
343</p>
<p dir="auto">ImportError: DLL load failed: No se puede encontrar el módulo especificado.</p>
<p dir="auto">During handling of the above exception, another exception occurred:</p>
<p dir="auto">ImportError                               Traceback (most recent call last)<br>
 in <br>
----&gt; 1 import tensorflow<br>
2 print(tensorflow.<strong>version</strong>)<br>
3 # Puedes añadir todos los imports adicionales que necesites aquí<br>
4 import keras<br>
5 from keras.datasets import fashion_mnist</p>
<p dir="auto">~\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow_<em>init</em>_.py in <br>
22<br>
23 # pylint: disable=g-bad-import-order<br>
---&gt; 24 from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import<br>
25<br>
26 from tensorflow._api.v1 import app</p>
<p dir="auto">~\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python_<em>init</em>_.py in <br>
47 import numpy as np<br>
48<br>
---&gt; 49 from tensorflow.python import pywrap_tensorflow<br>
50<br>
51 # Protocol buffers</p>
<p dir="auto">~\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow.py in <br>
72 for some common reasons and solutions.  Include the entire stack trace<br>
73 above this error message when asking for help.""" % traceback.format_exc()<br>
---&gt; 74   raise ImportError(msg)<br>
75<br>
76 # pylint: enable=wildcard-import,g-import-not-at-top,unused-import,line-too-long</p>
<p dir="auto">ImportError: Traceback (most recent call last):<br>
File "C:\Users\dizquierdo\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 58, in <br>
from tensorflow.python.pywrap_tensorflow_internal import *<br>
File "C:\Users\dizquierdo\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 28, in <br>
_pywrap_tensorflow_internal = swig_import_helper()<br>
File "C:\Users\dizquierdo\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 24, in swig_import_helper<br>
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)<br>
File "C:\Users\dizquierdo\AppData\Local\Continuum\anaconda3\lib\imp.py", line 242, in load_module<br>
return load_dynamic(name, filename, file)<br>
File "C:\Users\dizquierdo\AppData\Local\Continuum\anaconda3\lib\imp.py", line 342, in load_dynamic<br>
return _load(spec)<br>
ImportError: DLL load failed: No se puede encontrar el módulo especificado.</p>
<p dir="auto">Failed to load the native TensorFlow runtime.</p>
<p dir="auto">See <a href="https://www.tensorflow.org/install/errors" rel="nofollow">https://www.tensorflow.org/install/errors</a></p>
<p dir="auto">for some common reasons and solutions.  Include the entire stack trace<br>
above this error message when asking for help.</p>
<p dir="auto">Regards</p>
<p dir="auto">Several users are still using Python32 bits and they cannot install TensorFlow. For them, <code class="notranslate">pip install tensorflow</code> fails as no wheel matches the tags expected by their environment (to debug, <code class="notranslate">pip debug --verbose</code> shows only tags that don't math the filenames of our wheels).</p>
<p dir="auto">There is some requests to support 32 bits, see for example <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="478207036" data-permission-text="Title is private" data-url="https://github.com/tensorflow/tensorflow/issues/31431" data-hovercard-type="issue" data-hovercard-url="/tensorflow/tensorflow/issues/31431/hovercard" href="https://github.com/tensorflow/tensorflow/issues/31431">#31431</a></p>
<p dir="auto">This is not going to be easy as we need to also compile the C++ codebase in 32 bits mode and that would cause issues with code written assuming types have a certain bit width.</p>
<p dir="auto">There is no change in the user visible API, just a new set of wheels to support more users.</p>
<p dir="auto">Opening this to reference in all similar issues.</p>