Tensorflow: Creating a specific 3.6 binary for Linux

same issue on MacOS 10.12.6

same problem on Linux Ubuntu 16.04

@gunan : Do we have any updates on the resources we have to support Python 3.6 releases?

@av8ramit looks like there were divergences which prevent us from using the same pip packages on python 3.5 and 3.6
Can we modify our builds to also build 3.6 version from scratch?

Same issue on Linux CentOS 7

Same issue after upgrade Tensorflow from 1.3 to 1.4 on Mac High Sierra 10.13.1 using Python 3.6.2.
Tensorflow still works but give the above warning which is "RuntimeWarning: compiletime version 3.5 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.6"

FWIW, python3.5 still works

ANything that can be changed here?

Same problem using virtualenv after upgrading from Ubuntu 17.04 to 17.10.
/home/wiebe/virtual/tensorflow/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: compiletime version 3.5 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.6 return f(*args, **kwds)

Same on Ubuntu 14.04

Same issue on Fedora 26 with Python 3.6.2.

Same issue on OSX 10.12.5 with Python 3.6.3

Same issue on OSX with Python 3.6.2

Only posting because I didn't see my environment mentioned:
Clean 17.10 Ubuntu Server install on Python 3.6.3 (native pip install tensorflow-gpu)
Outputs:

/usr/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: compiletime version 3.5 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.6
  return f(*args, **kwds)

I have tried both 3.5 and 3.6 (macOS High Sierra).
3.5 works perfect while 3.6 gives warns.
While 3.6 still works.

Hope this helps.

same problem on Linux Ubuntu 17.10

Clean 17.10 Ubuntu Server install on Python 3.6.3 (native pip install tensorflow)

Same issue on OSX 10.12.6 with Python 3.6.3(virtualenv installation)

import tensorflow as tf
/Users/zhanghao/virtualenv/tensorflow/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: compiletime version 3.5 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.6
return f(args, *kwds)

Same issue using this Docker file https://github.com/christiangda/kerasvideo/blob/master/Dockerfile

error:

import tensorflow as tf

/opt/conda/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: compiletime version 3.5 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.6
  return f(*args, **kwds)

Hi,
Can you let me know if this has to be treated as a warning and ignored?
Furthermore the error is
from PyQt5 import QtCore, QtGui, QtWidgets
ImportError: dlopen: cannot load any more object with static TLS

See the Traceback below
Traceback (most recent call last):
File "train.py", line 51, in
from object_detection.builders import model_builder
File "/home/raju/anaconda3/envs/tensorflow/models/research/object_detection/builders/model_builder.py", line 29, in
from object_detection.meta_architectures import ssd_meta_arch
File "/home/raju/anaconda3/envs/tensorflow/models/research/object_detection/meta_architectures/ssd_meta_arch.py", line 31, in
from object_detection.utils import visualization_utils
File "/home/raju/anaconda3/envs/tensorflow/models/research/object_detection/utils/visualization_utils.py", line 24, in
import matplotlib.pyplot as plt
File "/home/raju/anaconda3/lib/python3.6/site-packages/matplotlib/pyplot.py", line 113, in
_backend_mod, new_figure_manager, draw_if_interactive, _show = pylab_setup()
File "/home/raju/anaconda3/lib/python3.6/site-packages/matplotlib/backends/__init__.py", line 60, in pylab_setup
[backend_name], 0)
File "/home/raju/anaconda3/lib/python3.6/site-packages/matplotlib/backends/backend_qt5agg.py", line 16, in
from .backend_qt5 import (
File "/home/raju/anaconda3/lib/python3.6/site-packages/matplotlib/backends/backend_qt5.py", line 18, in
import matplotlib.backends.qt_editor.figureoptions as figureoptions
File "/home/raju/anaconda3/lib/python3.6/site-packages/matplotlib/backends/qt_editor/figureoptions.py", line 20, in
import matplotlib.backends.qt_editor.formlayout as formlayout
File "/home/raju/anaconda3/lib/python3.6/site-packages/matplotlib/backends/qt_editor/formlayout.py", line 56, in
from matplotlib.backends.qt_compat import QtGui, QtWidgets, QtCore
File "/home/raju/anaconda3/lib/python3.6/site-packages/matplotlib/backends/qt_compat.py", line 137, in
from PyQt5 import QtCore, QtGui, QtWidgets
ImportError: dlopen: cannot load any more object with static TLS

Pls let me know ways to resolve this error. Or will it be resolved only when the warning is resolved!!

Same issues on Ubuntu 16.04 64bit virtualenv python3

Does it break stuff or can I ignore the warning?

Quite strange since the prior version worked fine with 3.6 (and it's packages), so it would seem that this should be a pretty simple fix?

same issue with the just released 1.4 version...

Just to add to what @dsitnik said, simple hello world to reproduce on Fedora 26 venv

$ cat requirements.txt 
bleach==1.5.0
enum34==1.1.6
html5lib==0.9999999
Markdown==2.6.9
numpy==1.13.3
protobuf==3.4.0
six==1.11.0
tensorflow==1.4.0
tensorflow-tensorboard==0.4.0rc2
Werkzeug==0.12.2

$ python --version
Python 3.6.2

$ cat app.py 
import tensorflow as tf

hello = tf.constant('Hello, TensorFlow!')
session = tf.Session()
print(session.run(hello))

$ python app.py 
/usr/lib64/python3.6/importlib/_bootstrap.py:205: RuntimeWarning: compiletime version 3.5 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.6
  return f(*args, **kwds)
2017-11-07 16:41:00.517173: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2
b'Hello, TensorFlow!'

Same issue on OSX 10.11.6, in an Anaconda virtual environment with Python 3.6.3 and attempting upgrade from TensorFlow 1.3 to 1.4.
Temporarily routed around this issue by creating a new Anaconda environment with Python 3.5.4 and Tensorflow 1.4, which is working fine.

same issue on MacOS high sierra！how resolved it！give me command ，not link！

Same issue on OSX 10.12.6 sierra,

the version:

Hope this helps.

I am working on resolving both the Python3.6 binary as well as the git_version tag.

I took reference from
https://github.com/tensorflow/tensorflow/issues/6533

$ python3 -m pip install --upgrade https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.12.0-py3-none-any.whl
Collecting tensorflow==0.12.0 from https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.12.0-py3-none-any.whl
  Downloading https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.12.0-py3-none-any.whl (38.4MB)
    100% |████████████████████████████████| 38.4MB 33kB/s 
Collecting protobuf==3.1.0 (from tensorflow==0.12.0)
  Downloading protobuf-3.1.0-py2.py3-none-any.whl (339kB)
    100% |████████████████████████████████| 348kB 1.4MB/s 
Requirement already up-to-date: six>=1.10.0 in ./virtualenvs/dl4cv/lib/python3.6/site-packages (from tensorflow==0.12.0)
Requirement already up-to-date: numpy>=1.11.0 in ./virtualenvs/dl4cv/lib/python3.6/site-packages (from tensorflow==0.12.0)
Requirement already up-to-date: wheel>=0.26 in ./virtualenvs/dl4cv/lib/python3.6/site-packages (from tensorflow==0.12.0)
Requirement already up-to-date: setuptools in ./virtualenvs/dl4cv/lib/python3.6/site-packages (from protobuf==3.1.0->tensorflow==0.12.0)
Installing collected packages: protobuf, tensorflow
  Found existing installation: protobuf 3.4.0
    Uninstalling protobuf-3.4.0:
      Successfully uninstalled protobuf-3.4.0
Successfully installed protobuf-3.1.0 tensorflow-0.12.0

$ python
Python 3.6.3 (default, Oct  4 2017, 06:09:15) 
[GCC 4.2.1 Compatible Apple LLVM 9.0.0 (clang-900.0.37)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> 

$ python
Python 3.6.3 (default, Oct  4 2017, 06:09:15) 
[GCC 4.2.1 Compatible Apple LLVM 9.0.0 (clang-900.0.37)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import keras
Using TensorFlow backend.
>>> 

Same issue on OSX 10.13.1 with Python 3.6.3

same issue on osx 10.12.6 with Python 3.6.3

/usr/local/Cellar/python3/3.6.3/Frameworks/Python.framework/Versions/3.6/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: compiletime version 3.5 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.6
  return f(*args, **kwds)

I someone has a solution I take it ! :)

setup a virtualenv with Python 3.5.0

@aktivkohle We need binary for python 3.6 anyways

same issue on macOS 10.13.1 with Python 3.6.3

/usr/local/Cellar/python3/3.6.3/Frameworks/Python.framework/Versions/3.6/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: compiletime version 3.5 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.6
  return f(*args, **kwds)

got same issue on macOS 10.12.6. However, seem we can ignore this warning. Waiting for a fix!

Same issue using Anaconda with python 3.6 on Ubuntu 16.04 when upgrading from tensorflow-gpu 1.3

same issue on Ubuntu 17.10, python 3.6.
Can we really ignore this warning ?

Same issue on Anaconda, Ubuntu 16.04, Python 3.6, Tensorflow GPU

Same issue on Anaconda, Ubuntu 16.04, Python 3.6, Tensorflow CPU

Same issue. Going to try to come back to setup a virtualenv with Python 3.5

I wish GitHub had a "Me Too" button... Anyways, me too.

Arch Linux, Pip env, and native GPU installation. Python 3.6.

I see the same warning with Python 3.6 from conda. On Mac it's just a warning, and things seem to work OK. But on Linux I see that import tensorflow breaks import scipy.special in a weird way.

python -c 'import tensorflow as tf; import scipy.special'
/d1/hfm/deil/software/anaconda/envs/image-style-transfer/lib/python3.6/importlib/_bootstrap.py:205: RuntimeWarning: compiletime version 3.5 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.6
  return f(*args, **kwds)
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "/d1/hfm/deil/software/anaconda/envs/image-style-transfer/lib/python3.6/site-packages/scipy/special/__init__.py", line 648, in <module>
    from ._ellip_harm import ellip_harm, ellip_harm_2, ellip_normal
  File "/d1/hfm/deil/software/anaconda/envs/image-style-transfer/lib/python3.6/site-packages/scipy/special/_ellip_harm.py", line 7, in <module>
    from ._ellip_harm_2 import _ellipsoid, _ellipsoid_norm
ImportError: cannot import name '_ellipsoid'

I think my scipy is OK, at least this import works if I don't import tensorflow:

python -c 'import scipy.special'

Scipy 1.0 was installed via Anaconda, tensorflow 1.4 via pip:

$ conda list
scipy                     1.0.0            py36hbf646e7_0  
tensorflow                1.4.0                     <pip>

Same issue on macOS 10.13 with Python 3.6.3

/Users/mcukingdom007/tensorflow/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: compiletime version 3.5 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.6 return f(*args, **kwds)

Any workaround or timeline to solve this problem? Thanks a lot!

I am also facing the same issue on macOS 10.12.6 with Python 3.6
/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: compiletime version 3.5 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.6 return f(*args, **kwds)

Maybe Tensorflow-1.4 does not support linux & macOS with Python 3.6, so there seems to be an error.
if you downgrade from v1.4 to v1.3, then it does not cause an error.

Same issue on macOS 10.13 with python 3.6.1

I'm also having the same problem not anaconda install...just with pyenv and jupyter...on a macOS Sierra version 10.12.6 with python 3.6

Using TensorFlow backend.

/Users/Create/.pyenv/versions/3.6.3/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: compiletime version 3.5 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.6
return f(args, *kwds)

Same issue on Ubuntu16.04.3 with python 3.6.3

Switching to Python 3.5 has removed the warning. To do this, I basically had to remove python 3.6 from my machine completely since jupyter was still pointing towards 3.6 even when only installed in 3.5 packages.

I followed this answer to remove python 3.6 from my machine (just replace all occurrences of 2.7 with 3.6 in that answer).

I then made sure to set PYTHONPATH to 3.5 using
export PYTHONPATH=/Library/Frameworks/Python.framework/Versions/3.5/bin
Then removing 3.6 from PATH by
echo $PATH then copy that entire path
export PATH=pasteInThePathAndRemovePython3.6

Hopefully this helps in the mean time! Just remember that you'll have to reinstall all your packages for python 3.5!

"FIxed" issue by forcing the installation of the 1.3.0 version of tensorflow

$~/Downloads$ pip3 install tensorflow==1.3.0
Collecting tensorflow==1.3.0
  Downloading tensorflow-1.3.0-cp36-cp36m-manylinux1_x86_64.whl (43.5MB)
    100% |████████████████████████████████| 43.6MB 42kB/s 
Collecting six>=1.10.0 (from tensorflow==1.3.0)
  Using cached six-1.11.0-py2.py3-none-any.whl
Collecting protobuf>=3.3.0 (from tensorflow==1.3.0)
  Using cached protobuf-3.4.0-cp36-cp36m-manylinux1_x86_64.whl
Collecting wheel>=0.26 (from tensorflow==1.3.0)
  Using cached wheel-0.30.0-py2.py3-none-any.whl
Collecting numpy>=1.11.0 (from tensorflow==1.3.0)
  Using cached numpy-1.13.3-cp36-cp36m-manylinux1_x86_64.whl
Collecting tensorflow-tensorboard<0.2.0,>=0.1.0 (from tensorflow==1.3.0)
  Downloading tensorflow_tensorboard-0.1.8-py3-none-any.whl (1.6MB)
    100% |████████████████████████████████| 1.6MB 1.2MB/s 
Collecting setuptools (from protobuf>=3.3.0->tensorflow==1.3.0)
  Using cached setuptools-36.7.2-py2.py3-none-any.whl
Collecting werkzeug>=0.11.10 (from tensorflow-tensorboard<0.2.0,>=0.1.0->tensorflow==1.3.0)
  Using cached Werkzeug-0.12.2-py2.py3-none-any.whl
Collecting markdown>=2.6.8 (from tensorflow-tensorboard<0.2.0,>=0.1.0->tensorflow==1.3.0)
Collecting html5lib==0.9999999 (from tensorflow-tensorboard<0.2.0,>=0.1.0->tensorflow==1.3.0)
Collecting bleach==1.5.0 (from tensorflow-tensorboard<0.2.0,>=0.1.0->tensorflow==1.3.0)
  Using cached bleach-1.5.0-py2.py3-none-any.whl
Installing collected packages: six, setuptools, protobuf, wheel, numpy, werkzeug, markdown, html5lib, bleach, tensorflow-tensorboard, tensorflow
Successfully installed bleach-1.5.0 html5lib-0.9999999 markdown-2.6.9 numpy-1.13.3 protobuf-3.4.0 setuptools-36.7.2 six-1.11.0 tensorflow-1.3.0 tensorflow-tensorboard-0.4.0rc2 werkzeug-0.12.2 wheel-0.30.0
$~/Downloads$ python3
Python 3.6.3 (default, Oct  3 2017, 21:45:48) 
[GCC 7.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import keras
Using TensorFlow backend.
>>> 

Great!!!

TensorFlow v1.4 doesn't work with Python3.6.
So, we should use TensorFlow v1.3.
Thank you for your great information.

This is the main guidance to installing which py version and tf version
https://github.com/lakshayg/tensorflow-build

I use Mac OS High Sierra.
I tried to use TF v1.4 with Python3.6.3, but , RuntimeWarning is shown when I import TF.
So, if you use High Sierra , be careful.

I am finding the GPU version (using Nvidia ) 1.4 works fine on Ubuntu Linux (py3.6) once past the warnings.. Have not run into other issues than the warnings..

Here are working 3.6 wheels https://github.com/mind/wheels

I have the same problem with clang 900.0.38, python 3.6.3, tf 1.4.0. no idea how to fix it.

Here is a temporal "fix"

For anyone looking for a workaround we have several options:

• Wait for an official binary to be released for Python 3.6
• Ignore the warning, it seems to work.
• Don't use tensorflow 1.4.0 instead use 1.3.0 pip3 install tensorflow==1.3.0.
• Install an unofficial tensorflow binary compatible with Python 3.6 from lakshayg/tensorflow-build or from mind/wheels.

Example in Mac OS High Sierra I do:

$ pip install https://github.com/lakshayg/tensorflow-build/raw/master/tensorflow-1.4.0-cp36-cp36m-macosx_10_12_x86_64.whl

Note: Be careful to choose the correct wheel for your platform and if it's with CPU or GPU support.

Same issue on Ubuntu 16.04, Python 3.6.1, CPU version.
Force install TensorFlow 1.3 can fix like @VictorGaiva said.

When can we expect the official build of TF 1.4.0 for Python 3.6? The official docs reference https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.4.0-cp36-cp36m-linux_x86_64.whl as the Python 3.6 version, but I am still getting the original warning.

As a workaround (in virtualenv), we can use python 3.5 as below.

virtualenv --system-site-packages -p /usr/bin/python3.5 ~/tensorflow/

>>> import tensorflow as tf
>>> hello = tf.constant('Hello, TensorFlow!')
>>> sess = tf.Session()

In mac os ,this help me: python3 -m pip install --upgrade https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.12.0-py3-none-any.whl

tf-nightly and tf-nightly-gpu now has a python3.6 binary built from scratch for Linux.
1.5.0-dev20171206 and up

This should fix the warning

Same issue on MacOS 10.11.6 with Python 3.6.1

I installed tf_nightly_gpu-1.5.0.dev20171213-cp36-cp36m-manylinux1_x86_64.whl successfully.
Ubuntu17.10 x64.
Tensorflow is looking for cuda-9.0 but I have cuda-8.0 installed. does tf_1.5.0 works with cuda-8.0?
I have cuda-8.0 installed. I can see it in the library path. Any help to resolve this issue will be much appreciated.

Following is Traceback for error

ImportError Traceback (most recent call last)
/usr/local/lib/python3.6/dist-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__

/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py in ()
27 return _mod
---> 28 _pywrap_tensorflow_internal = swig_import_helper()
29 del swig_import_helper

/usr/local/lib/python3.6/dist-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:

/usr/lib/python3.6/imp.py in load_module(name, file, filename, details)
242 else:
--> 243 return load_dynamic(name, filename, file)
244 elif type_ == PKG_DIRECTORY:

/usr/lib/python3.6/imp.py in load_dynamic(name, path, file)
342 name=name, loader=loader, origin=path)
--> 343 return _load(spec)
344

ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directory

During handling of the above exception, another exception occurred:

ImportError Traceback (most recent call last)
in ()
----> 1 import tensorflow as tf

/usr/local/lib/python3.6/dist-packages/tensorflow/__init__.py in ()
22
23 # pylint: disable=wildcard-import
---> 24 from tensorflow.python import *
25 # pylint: enable=wildcard-import
26

/usr/local/lib/python3.6/dist-packages/tensorflow/python/__init__.py in ()
47 import numpy as np
48
---> 49 from tensorflow.python import pywrap_tensorflow
50
51 # Protocol buffers

/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow.py in ()
71 for some common reasons and solutions. Include the entire stack trace
72 above this error message when asking for help.""" % traceback.format_exc()
---> 73 raise ImportError(msg)
74
75 # pylint: enable=wildcard-import,g-import-not-at-top,unused-import,line-too-long

ImportError: Traceback (most recent call last):
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in
from tensorflow.python.pywrap_tensorflow_internal import *
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in
_pywrap_tensorflow_internal = swig_import_helper()
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
File "/usr/lib/python3.6/imp.py", line 243, in load_module
return load_dynamic(name, filename, file)
File "/usr/lib/python3.6/imp.py", line 343, in load_dynamic
return _load(spec)
ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directory

Failed to load the native TensorFlow runtime.

See https://www.tensorflow.org/install/install_sources#common_installation_problems

for some common reasons and solutions. Include the entire stack trace
above this error message when asking for help.

​

Just installed python 3.6 on ubuntu 16.04. Then:

~$ python3.6 -m pip install --user tensorflow
Collecting tensorflow
Downloading tensorflow-1.4.1-cp36-cp36m-manylinux1_x86_64.whl (41.2MB)
100% |████████████████████████████████| 41.2MB 52kB/s

and so on...

Then:

~$ ipython
Python 3.6.3 (default, Oct 4 2017, 02:55:45)
Type 'copyright', 'credits' or 'license' for more information
IPython 6.2.1 -- An enhanced Interactive Python. Type '?' for help.

In [1]: import tensorflow as tf
/usr/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: compiletime version 3.5 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.6
return f(args, *kwds)

In [2]: hello = tf.constant('Hello TensorFlow!')

In [3]: session = tf.Session()
2017-12-15 15:53:35.523688: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA

In [4]: print(session.run(hello))
b'Hello TensorFlow!'

So I'm going to assume that this works just fine and this warning will go away with 1.5 or perhaps a 1.4.2 version.

By the way, did not notice this warning in Windows7 using tensorflow-gpu version 1.4.0 with python 3.6.2

Same issue on Ubuntu 16.04 LTS.

Same issue.

Same issue on Ubuntu 16.04 LTS.

We are not offering a native python3.6 binary for mac anytime soon.

As for the cuda9 issue, tf-nightly is built from HEAD at master every night, and I believe the latest binaries require cuda9. Try using an older version of tf-nightly. (Maybe 1208 or something)

Windows has a native python3.6 binary so you will not see this issue.

Thanks @av8ramit

For those who have the (arbitrary) preference of only wanting to use official releases, the following is correct?

• you'll need to wait for 1.5.x for this warning message to go away when using Python 3.6 on linux
• in the meantime, you can use 1.4.1 with no problems, you'll just see the warning message

The same issue appears while I use Anaconda 3-5.0.1-Linux-x86_64.sh(Python3.6) and TensorFlow 1.4.

For what it's worth, the issue was discussed in a Hacker News thread about the 1.4 release (https://news.ycombinator.com/item?id=15647790). User allenlavoie responded:

It's just a small Cython-compiled utility throwing the warning, it works fine. Everything else is pure Python and so doesn't care about 3.5 vs 3.6. We will fix the warning, though (disclaimer: I work on TF and added fast_tensor_utils--sorry!).

Dear Tensorflow QA team. Please add some unit tests!!! Happy NY

You can create whl from source using following link steps. http://www.python36.com/install-tensorflow141-gpu/ . Let me informed if it worked.

Nagging Assignee: It has been 14 days with no activity and this issue has an assignee. Please update the label and/or status accordingly.

Official releases now (1.5+) have a native python3.6 image build on Ubuntu 16.04. We do not build a python3.6 specific binary for mac. Windows has native 3.6 as well.

@av8ramit , I have 1.4.1 and you said that official releases now have .... yet,

When I do:
python3.6 -m pip install --upgrade --user tensorflow

It says that:
Requirement already up-to-date: tensorflow in ./.local/lib/python3.6/site-packages

You guys could get python3.6 specific binary for mac/linux/windows from here:
https://pypi.python.org/pypi/tensorflow

@av8ramit I manually downloaded 1.5.0rc1 cp36 manylinux wheel and installed successfully. The warning message has disappeared when import tensorflow in python 3.6

However, I think there is issue with pip. See below please. Do you need me to start a new issue, or am I just doing something wrong?

When I do:
python3.6 -m pip install --upgrade --user tensorflow -vvv

It does find the 1.5.0rc1 cp36 manylinux wheel, as well as rc0 and older version wheels (both rc and non-rc):

Found link https://pypi.python.org/packages/cd/e4/b2a8bcd1fa689489050386ec70c5c547e4a75d06f2cc2b55f45463cd092c/tensorflow-1.1.0-cp36-cp36m-manylinux1_x86_64.whl#md5=1f761290358dfb7fe4ec73140f4d282a (from https://pypi.python.org/simple/tensorflow/), version: 1.1.0
...
Found link https://pypi.python.org/packages/c6/1c/d64f9367cc3a50194e911ab9da865c2515cbc1fefa5e210ddebf85a61bac/tensorflow-1.2.0rc0-cp36-cp36m-manylinux1_x86_64.whl#md5=8a637f414bc16c86708c01f17c94f3f6 (from https://pypi.python.org/simple/tensorflow/), version: 1.2.0rc0
...
Found link https://pypi.python.org/packages/fe/7d/01c588ba060e5e7dffe64ab968745d143530c84da30296f9593f661ca27d/tensorflow-1.5.0rc0-cp36-cp36m-manylinux1_x86_64.whl#md5=6578302e0c843660464cc16ad45d6093 (from https://pypi.python.org/simple/tensorflow/), version: 1.5.0rc0
...
Found link https://pypi.python.org/packages/4e/50/87e3c6861957413deb5ccd62aee6cea85cc2eedcf6391183595191d3c87d/tensorflow-1.5.0rc1-cp36-cp36m-manylinux1_x86_64.whl#md5=501d5072275518056aa5a5f25a001015 (from https://pypi.python.org/simple/tensorflow/), version: 1.5.0rc1

but at the end this does not register somehow with pip to be the latest version:

Installed version (1.4.1) is most up-to-date (past versions: 0.12.1, 1.0.0, 1.0.1, 1.1.0, 1.2.0, 1.2.1, 1.3.0, 1.4.0, 1.4.1)
Requirement already up-to-date: tensorflow in ./.local/lib/python3.6/site-packages

I may be completely wrong, but it seems pip is not catching the versions with rc in the version number. I don't know if this is pip's error or tensorflow's error, but it seems to be an issue. Or am I wrong?

@tylerlekang pip fetch the latest stable release by default (see https://pip.pypa.io/en/stable/reference/pip_install/#pre-release-versions)
and the pypi package of tensorflow is still a release candidate (1.5.0rc1)

try using:
pip install 'tensorflow>=1.5.0rc1'

@attiasr Oh! Well ... that's embarrassing!

How long does it take the rc to turn into stable, and are there usually any changes once released as rc? Well I guess I can answer my own question by fact that there has already been rc0 and rc1 of 1.5.0 .....

Thanks!

@tylerlekang np

python3.6 -m pip install https://github.com/lakshayg/tensorflow-build/raw/master/tensorflow-1.4.0-cp36-cp36m-linux_x86_64.whl

Thanks @Karthick333031 it works for me (MacOS 10.12.6)

Running: pip3 install --upgrade https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.10.0-py3-none-any.whl solved the issue

Python 3.6.5
TensorFlow 1.10.0 (Was previously 1.10.1)
MacOS 10.14

Thanks,

@umang6891! It solved the problem for me. With the warning, my example hanged forever without failing, but now it runs. It looks like the problem is the version in pip.

👍

@umang6891 's solution works good for me, and I am using a python3.6 virtualenv.