# CUDNN Error On Runtime

**URL:** <https://forums.developer.nvidia.com/t/cudnn-error-on-runtime/112546>\
**Category:** cuDNN\
**Created:** [February 24, 2020, 1:35pm UTC](https://forums.developer.nvidia.com/t/cudnn-error-on-runtime/112546 "2020-02-24T13:35:30Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![varunqd](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@varunqd](https://forums.developer.nvidia.com/u/varunqd)\
**Post date:** [February 24, 2020, 1:35pm UTC](https://forums.developer.nvidia.com/t/cudnn-error-on-runtime/112546/1 "2020-02-24T13:35:30Z")

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2020-02-24 13:20:14.131414: E tensorflow/stream\_executor/cuda/cuda\_dnn.cc:378] Loaded runtime CuDNN library: 7105 (compatibility version 7100) but source was compiled with 7005 (compatibility version 7000). If using a binary install, upgrade your CuDNN library to match. If building from sources, make sure the library loaded at runtime matches a compatible version specified during compile configuration.  
2020-02-24 13:20:14.133105: F tensorflow/core/kernels/conv\_ops.cc:717] Check failed: stream-\>parent()-\>GetConvolveAlgorithms( conv\_parameters.ShouldIncludeWinogradNonfusedAlgo(), &algorithms)  
Aborted

We are using jetson TX2

cat /usr/local/cuda/version.txt  
CUDA Version 9.0.252

cat /usr/include/cudnn.h | grep CUDNN\_MAJOR -A 2  
#define CUDNN\_MAJOR 7  
#define CUDNN\_MINOR 1  
#define CUDNN\_PATCHLEVEL 5

Please provide a solution for issue.

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<div class="post-metadata">

**Author:** ![SunilJB](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/suniljb/32/14043_2.png) [@SunilJB](https://forums.developer.nvidia.com/u/SunilJB)\
**Post date:** [March 2, 2020, 7:16am UTC](https://forums.developer.nvidia.com/t/cudnn-error-on-runtime/112546/2 "2020-03-02T07:16:15Z")

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Hi,

As per the error, it seems that the code is complied on different version.  
“Loaded runtime CuDNN library: 7105 (compatibility version 7100) but source was compiled with 7005 (compatibility version 7000). If using a binary install, upgrade your CuDNN library to match. If building from sources, make sure the library loaded at runtime matches a compatible version specified during compile configuration.”

Either you have to rebuild the code on latest cuDNN version or downgrade it to the version using which code is originally complied.

Thanks