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tensorflow-gpu rc0 import tensorflow error windows 10 64bit nvidia 1080 TI #9066
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Having the same issue, tried pretty much all of the relevant builds on jenkins, and its either the OPS error, or this one. If you just need a version of tensorflow to work with asap, you can get the cpu version running by installing version 1.1.0rc1 and suppressing the level 2 warnings.
And then install the gpu version when someone replies with a proper fix. |
Same thing over here. |
I am facing the same issue with 840M GPU. |
Hi @udnaan, sorry you're facing issues. |
Already done.
The dll files are inside the The issue seems to be with the following versions: rc0 - onwards and nightlies. |
@Carmezim I've gone though all the nightlies that are successfully built
with the same error.
Yes, the cudnn version is 5.1
However since you seem confident that it has something to do with dlls,
I'll go though them again and recheck everything.
On Apr 9, 2017 16:41, "Adriano Carmezim" <notifications@github.com> wrote:
@udnaan <https://github.com/udnaan> After 1.0 there were changes on how TF
load CUDA related DLLs, see this
<#7705 (comment)>
.
Regarding OpKernels logs, they can be ignored. Just checking, your cuDNN is
5.1, right? Which nightly build did you install?
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@udnaan a way for you to check if is not Cuda related is to uninstall TF and install the CPU version and if you still receive the same error is TF or Anaconda wise . |
@Carmezim thanks for the hint. I'll try that as well. Will take a couple of hours since I'm afk atm |
@Carmezim You were right. I was missing the cudnn library all together. Thanks a lot for your help. |
@udnaan you're welcome. |
@LeifRoss @AdityaPrasadMishra @ZacDiggum Did you make progress with the solution? |
HI @mrry, do you think even affecting a very small subset of users is worth a reference on common problems about CUDA related DLLs installation when receiving this error? |
@Carmezim Indeed, the issue has been resolved, thank you for the assistance! |
@Carmezim That might make sense... it's a little unfortunate that the new way of loading modules doesn't produce an actionable error message (whereas it used to say "Couldn't open CUDA library cudnn64_5.dll" and we had a link to this Stack Overflow answer). Now the error message for a misconfigured CUDA and for (e.g.) a missing Visual C++ redistributable are the same. I'll follow up with some people who understand the rationale for how we load modules in the latest version and see if I can get some suggestions. (In the meantime, it looks like the link that's printed on error doesn't include a link to the Windows-specific common problems, so I'll fix that first.) |
@mrry now I fully understood what is happening. That error message was useful indeed. The Redistributable is really python.org dist. specific? Because if it is, do you think for now that's one way to differentiate the solutions? Awesome! |
Got it! Previously I had CuDNN 6 installed. After switching to 5.1 everything works fine... |
@ZacDiggum Thank you so much! I have tried all solutions I can find but nothing except yours works! CuDNN 6 does NOT work on my environment! |
@ybsave @ZacDiggum It is defined on installation guide under only cuDNN 5.1 is supported on Windows Requirements to run TensorFlow with GPU support:
Glad you sorted it out. |
@Carmezim Thank you for pointing it out. I previously thought that versions no older than the ones on the webpage were OK. Then later I finally noticed that Python 3.6 and cuDNN 6 are both not compatible with Tensorflow GPU windows version. :) |
I've followed all above suggestions but still getting the same error on windows 8.1 |
Hi @Kaushal28 could you try running this script to see what can be happening on your side? |
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No
binary
pip rc0 or rc1
nightly
NA
8.0
Nvidia 1080 ti
install tensorflow from nightly or using tensorflow==1.1.0rc0 or 1.1.0rc1 through pip (I'm using conda to create the environment)
start python
import tensorflow
Describe the problem clearly
I followed the suggestion of installing nightly due to the warnings regarding unknown OP
see #8500
The install is successful however the import tensorflow fails with the following log
Source Code / Logs
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