Thank you for your post. We noticed you have not filled out the following field in the issue template. Could you update them if they are relevant in your case, or leave them as N/A? Thanks.
Have I written custom code
OS Platform and Distribution
TensorFlow installed from
TensorFlow version
Bazel version
CUDA/cuDNN version
GPU model and memory
Exact command to reproduce
Mobile device

Hi,
Pfb more details:
Have I written custom code : n/a
OS Platform and Distribution: Windows 10
TensorFlow installed from: python native pip without​ Anaconda
TensorFlow version: 1.10
Bazel version: n/a
CUDA/cuDNN version: Cuda: 9.0, cuDNN v7.05
GPU model and memory: GTX1060 6gb
Exact command to reproduce: just tried to import tensorflow after pip installation
Mobile device: n/a

I was able to fix the issue after downgrading protobuf from 3.6.1 to 3.6.0
Hope this helps!

Hi,
I have a few questions. What do you mean by:

Installed tensorflow_gpu using native-pip
**protobuf is part of tf gpu installation

Also, did you upgrade your tensorflow installation from a previous version, or did you install tf from scratch on your machine?

Same here, exactly same problem after upgrading to tensorflow 1.10, also tried clean install tensorflow 1.10.

protobuf 3.6.1 doesn't not work for CPU and GPU, but protobuf 3.6.0 works for both.

**protobuf is part of tf gpu installation - meaning protobuf was installed as part of pip installation of tensorflow.
Also, i did the installation from scratch.

What a nightmare getting this to work on Windows 10!
I had to do this:

1. Install Python3.6 (downgraded from 3.7)
2. Install and create a virtualenv
   pip3 install virtualenv
virtualenv venv
3. Activate the virtualenv
   ./venv/Scripts/activate
   Now comes the guessing game to figure out which version of protobuf plays nicely with which version of tensorflow
   In the end I matched up tensorflow==1.5.0 and protobuf==3.4.0
4. Install protobuf
   pip3 install protobuf==3.4.0
5. Install tensorflow
   pip3 install tensorflow==1.5.0

Now I can test it:
(venv) $ python
Python 3.6.0 (v3.6.0:41df79263a11, Dec 23 2016, 08:06:12) [MSC v.1900 64 bit (AMD64)] on win32 Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf

I had exactly the same issue. I spend the entire day trying to figure out what was wrong. I installed and uninstalled python, tf, etc.. million times on my new Windows 10 machine. This morning I saw this post. I deleted protobuf 3.6.1 and installed 3.6.0. Bingo ! everything is working. Thanks a lot

@acozzette @xfxyjwf
Is there a known backwards compatibility issue between protobuf 3.6.1 and 3.6.0?

@gunan No, I don't know of any backward compatibility issues between 3.6.0 and 3.6.1. @anandolee Do you have any ideas what it could be?

This is protocolbuffers/protobuf#5046 . @TeBoring what's the solution to this issue?

Nagging Assignees @gunan, @poxvoculi: It has been 29 days with no activity and this issue has an assignee. Please update the label and/or status accordingly.

Looking at the comments, this actually looks like a missing backwards compatibility issue in protobuf between 3.6.0 and 3.6.1
Unfortunately, solution is to upgrade protobuf to 3.6.1.
I will make that change in our setup.py script, and close this issue.

DLL LOAD ERROR SPECIFIED ERROR COUDN'T FOUND
WINDOWS 7 INSTALLED TENSORFLOW 1.12 WITH CUDNN 9 THROUGH ANACONDA PYTHON VERSION 3.6.7

(SRI) C:\Users\SRIKANTH>python -c "import tensorflow"
Traceback (most recent call last):
File "C:\Users\SRIKANTH\Anaconda3\envs\SRI\lib\site-packages\tensorflow\python
\pywrap_tensorflow.py", line 58, in
from tensorflow.python.pywrap_tensorflow_internal import *
File "C:\Users\SRIKANTH\Anaconda3\envs\SRI\lib\site-packages\tensorflow\python
\pywrap_tensorflow_internal.py", line 28, in
_pywrap_tensorflow_internal = swig_import_helper()
File "C:\Users\SRIKANTH\Anaconda3\envs\SRI\lib\site-packages\tensorflow\python
\pywrap_tensorflow_internal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, descript
ion)
File "C:\Users\SRIKANTH\Anaconda3\envs\SRI\lib\imp.py", line 243, in load_modu
le
return load_dynamic(name, filename, file)
File "C:\Users\SRIKANTH\Anaconda3\envs\SRI\lib\imp.py", line 343, in load_dyna
mic
return _load(spec)
ImportError: DLL load failed: The specified procedure could not be found.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "", line 1, in
File "C:\Users\SRIKANTH\Anaconda3\envs\SRI\lib\site-packages\tensorflow__init
_.py", line 24, in
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-im
port
File "C:\Users\SRIKANTH\Anaconda3\envs\SRI\lib\site-packages\tensorflow\python
_init.py", line 49, in
from tensorflow.python import pywrap_tensorflow
File "C:\Users\SRIKANTH\Anaconda3\envs\SRI\lib\site-packages\tensorflow\python
\pywrap_tensorflow.py", line 74, in
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File "C:\Users\SRIKANTH\Anaconda3\envs\SRI\lib\site-packages\tensorflow\python
\pywrap_tensorflow.py", line 58, in
from tensorflow.python.pywrap_tensorflow_internal import *
File "C:\Users\SRIKANTH\Anaconda3\envs\SRI\lib\site-packages\tensorflow\python
\pywrap_tensorflow_internal.py", line 28, in
_pywrap_tensorflow_internal = swig_import_helper()
File "C:\Users\SRIKANTH\Anaconda3\envs\SRI\lib\site-packages\tensorflow\python
\pywrap_tensorflow_internal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, descript
ion)
File "C:\Users\SRIKANTH\Anaconda3\envs\SRI\lib\imp.py", line 243, in load_modu
le
return load_dynamic(name, filename, file)
File "C:\Users\SRIKANTH\Anaconda3\envs\SRI\lib\imp.py", line 343, in load_dyna
mic
return _load(spec)
ImportError: DLL load failed: The specified procedure could not be found.

Failed to load the native TensorFlow runtimE

To add an update, this issue is not only related to tf-gpu version but also occurs for cpu version if installed with python version 3.6.0
this can still be solved by replacing default protobuf version with 3.6.0

I have installed tensorflow==1.5.0 and protobuf==3.6.0 and 3.4.0 alternatively but there is still an issues.

/home/nkanwal/bert/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:496: FutureWarning: Passing (type, 1) or '1type'
as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/home/nkanwal/bert/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:497: FutureWarning: Passing (type, 1) or '1type'
as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
/home/nkanwal/bert/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:502: FutureWarning: Passing (type, 1) or '1type'
as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])

please suggest some solution

I have installed tensorflow==1.5.0 and protobuf==3.6.0 and 3.4.0 alternatively but there is still an issues.

/home/nkanwal/bert/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:496: FutureWarning: Passing (type, 1) or '1type'
as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/home/nkanwal/bert/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:497: FutureWarning: Passing (type, 1) or '1type'
as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
/home/nkanwal/bert/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:502: FutureWarning: Passing (type, 1) or '1type'
as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])

please suggest some solution

I din know the older versions of tensorflow were still being used. Anyway, i would suggest keeping only one version of protobuff. I think tf might be using the higher version which might be causing the issue.
Not sure which exact version of protobuf will work with tf 1.5. U might have to do some trial n error but while doing so, pls try one at a time ( as in 1 version in ur virtual env at a time)
Hope this help!

File "stylize.py", line 97, in
main()
File "stylize.py", line 57, in main
graph_def.ParseFromString(f.read())
File "C:\Users\shubham\myenv\lib\site-packages\google\protobuf\message.py", line 185, in ParseFromString
self.MergeFromString(serialized)
File "C:\Users\shubham\myenv\lib\site-packages\google\protobuf\internal\python_message.py", line 1083, in MergeFromString
if self._InternalParse(serialized, 0, length) != length:
File "C:\Users\shubham\myenv\lib\site-packages\google\protobuf\internal\python_message.py", line 1109, in InternalParse
new_pos = local_SkipField(buffer, new_pos, end, tag_bytes)
File "C:\Users\shubham\myenv\lib\site-packages\google\protobuf\internal\decoder.py", line 850, in SkipField
return WIRETYPE_TO_SKIPPER[wire_type](buffer, pos, end)
File "C:\Users\shubham\myenv\lib\site-packages\google\protobuf\internal\decoder.py", line 820, in _RaiseInvalidWireType
raise _DecodeError('Tag had invalid wire type.')
google.protobuf.message.DecodeError: Tag had invalid wire type.

After reading everything, Still, I am getting this error.