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Tensorflow compatibility issues #10

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erap129 opened this issue Sep 20, 2019 · 1 comment
Closed

Tensorflow compatibility issues #10

erap129 opened this issue Sep 20, 2019 · 1 comment

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@erap129
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erap129 commented Sep 20, 2019

Hello,

When trying to run the FCN/Resnet models I get cudnn errors:

2019-09-20 10:07:17.847490: E tensorflow/stream_executor/cuda/cuda_dnn.cc:319] Loaded runtime CuDNN library: 7.0.5 but source was compiled with: 7.3.0. CuDNN library major and minor version needs to match or have higher minor version in case of CuDNN 7.0 or later version. If using a binary install, upgrade your CuDNN library. If building from sources, make sure the library loaded at runtime is compatible with the version specified during compile configuration.

tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found. (0) Unknown: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above. [[{{node conv1d_4/convolution}}]] [[loss/mul/_939]] (1) Unknown: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above. [[{{node conv1d_4/convolution}}]]

I might need to upgrade my CudNN version but before I try this I wanted to ask which version of Tensorflow-gpu did you use? (I am assuming you used a GPU...?)

Thanks

@hfawaz
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hfawaz commented Sep 20, 2019

Hi, thanks for sharing.
It is tensorflow-gpu==1.12.0

@hfawaz hfawaz closed this as completed Sep 20, 2019
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