Issue 1:
Hi all,

Im unable to import keras or tensorflow in jupyter:

System information

OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Windows 10 Pro

Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue happens on mobile device: HP Omen, i7 7700HQ, 16GB RAM

TensorFlow installed from (source or binary): pip install tensorflow-gpu

TensorFlow version (use command below): 1.13.1

Python version: 3.7.3

CUDA/cuDNN version: 10.1

GPU model and memory: GTX 1060 laptop

Exact command to reproduce: import tensorflow as tf

---TRACE---

ImportError Traceback (most recent call last)

~\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow.py in

57

---> 58 from tensorflow.python.pywrap_tensorflow_internal import *

59 from tensorflow.python.pywrap_tensorflow_internal import version

~\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py in

27 return _mod

---> 28 _pywrap_tensorflow_internal = swig_import_helper()

29 del swig_import_helper

~\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py in swig_import_helper()

23 try:

---> 24 _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)

25 finally:

~\AppData\Local\Continuum\anaconda3\lib\imp.py in load_module(name, file, filename, details)

241 else:

--> 242 return load_dynamic(name, filename, file)

243 elif type_ == PKG_DIRECTORY:

~\AppData\Local\Continuum\anaconda3\lib\imp.py in load_dynamic(name, path, file)

341 name=name, loader=loader, origin=path)

--> 342 return _load(spec)

343

ImportError: DLL load failed: No se puede encontrar el módulo especificado.

During handling of the above exception, another exception occurred:

ImportError Traceback (most recent call last)

in

----> 1 import tensorflow

2 print(tensorflow.version)

3 # Puedes añadir todos los imports adicionales que necesites aquí

4 import keras

5 from keras.datasets import fashion_mnist

~\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow_init_.py in

22

23 # pylint: disable=g-bad-import-order

---> 24 from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import

25

26 from tensorflow._api.v1 import app

~\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python_init_.py in

47 import numpy as np

48

---> 49 from tensorflow.python import pywrap_tensorflow

50

51 # Protocol buffers

~\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow.py in

72 for some common reasons and solutions. Include the entire stack trace

73 above this error message when asking for help.""" % traceback.format_exc()

---> 74 raise ImportError(msg)

75

76 # pylint: enable=wildcard-import,g-import-not-at-top,unused-import,line-too-long

ImportError: Traceback (most recent call last):

File "C:\Users\dizquierdo\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 58, in

from tensorflow.python.pywrap_tensorflow_internal import *

File "C:\Users\dizquierdo\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 28, in

_pywrap_tensorflow_internal = swig_import_helper()

File "C:\Users\dizquierdo\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 24, in swig_import_helper

_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)

File "C:\Users\dizquierdo\AppData\Local\Continuum\anaconda3\lib\imp.py", line 242, in load_module

return load_dynamic(name, filename, file)

File "C:\Users\dizquierdo\AppData\Local\Continuum\anaconda3\lib\imp.py", line 342, in load_dynamic

return _load(spec)

ImportError: DLL load failed: No se puede encontrar el módulo especificado.

Failed to load the native TensorFlow runtime.

See https://www.tensorflow.org/install/errors

for some common reasons and solutions. Include the entire stack trace

above this error message when asking for help.

Regards

Issue 2:
Several users are still using Python32 bits and they cannot install TensorFlow. For them, pip install tensorflow fails as no wheel matches the tags expected by their environment (to debug, pip debug --verbose shows only tags that don't math the filenames of our wheels).

There is some requests to support 32 bits, see for example #31431

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.

There is no change in the user visible API, just a new set of wheels to support more users.

Opening this to reference in all similar issues.