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RuntimeWarning: compiletime version 3.5 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.6 #14273
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Closing this as a duplicate of #14182 |
HI, am having the same issue.... any one with a solution? |
I am also having the same problem: Using TensorFlow backend. |
https://github.com/lakshayg/tensorflow-build |
Thank you! @SteffenNa |
I have met the same issue with python3 in virtualenv |
Thank you @SteffenNa |
Thanks @SteffenNa For anyone else, the "macOS Sierra" build worked on my macOS High Sierra 10.13.1 |
+1 to @drewszurko and @SteffenNa Better to use Sierra (1.4.0) on High Sierra than what is marked High Sierra (1.4.1):
|
Thank you! @SteffenNa |
@sshadmand I installed the High Sierra build on High Sierra with no problems (running macOS version 10.13.2) |
@SteffenNa suggestion is the solution (at least for me). Just go to https://github.com/lakshayg/tensorflow-build click on the on wheel you want and then on the download button right click and copy link address and paste into your pip line... e.g.
Worked great and fixed the warning about mismatched version. |
worked perfectl for me on : OSX High Sierra
…On Wed, Dec 27, 2017 at 8:48 PM, Brian Wylie ***@***.***> wrote:
@SteffenNa <https://github.com/steffenna> suggestion is the solution (at
least for me). Just go to https://github.com/lakshayg/tensorflow-build
click on the on wheel you want and then on the download button right click
and copy link address and paste into your pip line... e.g.
$ pip install --upgrade https://github.com/lakshayg/tensorflow-build/raw/master/tensorflow-1.4.1-cp36-cp36m-macosx_10_13_x86_64.whl
Worked great and fixed the warning about mismatched version.
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https://github.com/lakshayg/tensorflow-build/raw/master/tensorflow-1.4.0-cp36-cp36m-linux_x86_64.whl |
how about for RHEL7? |
Worked perfect , Thanks. |
@KyleTheNewbie I've installed with
on Fedora and it seems good |
@SteffenNa correct. It's work. Thanks |
Using Why do I get the following error? What to do? Last login: Fri Jan 26 17:25:23 on ttys000 $ pip install --ignore-installed --upgrade "https://github.com/lakshayg/tensorflow-build/raw/master/tensorflow-1.4.0-cp36-cp36m-macosx_10_12_x86_64.whl" |
@informixx you don't have permission to write to the python installation. You should run |
@erickrf Thx, for your quick answer! Of course that's the solution and I've learned something :-) But, poorly that fix does not help, I still got this error: /Users/hamburg/PycharmProjects/Linear Regression Example/venv/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 |
What if I have: Python 3.6.4 :: Anaconda custom (64-bit), does Anaconda custom affect any upgrade installation? welp, I'll try it now. |
NVM it works. |
Any suggestions on what to try with this environment? I can't seem to find a TF build on that link above ^ for an exact match to my system, but upgrading some of this stuff seems fairly complex. macOS Sierra Thanks for your help. |
It works for pip with: Or maybe you can execute if you use conda: |
on Mac OS High Seirra the following worked for me
|
@SteffenNa Thank you :) |
tensorflow-1.5.0-cp36-cp36m-macosx_10_13_x86_64.whl is not a supported wheel on this platform. |
@benedictchen I'm getting the same error |
@benedictchen @animaleja32 Are you using a wheel that matches your Python version? |
take the right version of this @SteffenNa ,and i resolve it. thx |
@zhilevan thanks for your suggestion, works one my Mac |
Facing the same issue on Mojave. |
When using pyenv, omit the "--user", so in my case: pip install --ignore-installed --upgrade "Download URL" If you already ran the command, you can "rm -rf ~/.local" to cleanup your mess on OSX :) @rakshitsareen That's the whole purpose of this issue, so read carefully from the top. |
Please go to Stack Overflow for help and support:
https://stackoverflow.com/questions/tagged/tensorflow
If you open a GitHub issue, here is our policy:
Here's why we have that policy: TensorFlow developers respond to issues. We want to focus on work that benefits the whole community, e.g., fixing bugs and adding features. Support only helps individuals. GitHub also notifies thousands of people when issues are filed. We want them to see you communicating an interesting problem, rather than being redirected to Stack Overflow.
System information
macOS High Sierra 10.13.1
pip3 install tensor flow
1.4.0
3.6.3
GCC: stable 7.2.0
python3 -c "import tensorflow as tf; print(tf.GIT_VERSION, tf.VERSION)"
You can collect some of this information using our environment capture script:
https://github.com/tensorflow/tensorflow/tree/master/tools/tf_env_collect.sh
You can obtain the TensorFlow version with
python -c "import tensorflow as tf; print(tf.GIT_VERSION, tf.VERSION)"
Describe the problem
Error after install Tensorflow:
python3 -c "import tensorflow as tf; print(tf.GIT_VERSION, tf.VERSION)"
/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)
v1.4.0-rc1-11-g130a514 1.4.0
getting this and ONE MORE error when running:
python3 -c "import keras; print (keras.version)"
Using TensorFlow backend.
/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)
2017-11-06 15:12:09.361728: 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
2.0.9
Source code / logs
Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached. Try to provide a reproducible test case that is the bare minimum necessary to generate the problem.
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