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I have the following hardware/Software:

  • NVIDIA RTX2060 6GB
  • Cuda 10

I would like run the Keras mnist example. On my other Computer there works with the same software. I obtain this Error: 

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 conv2d_1/convolution}}]]
         [[conv2d_19/Sigmoid/_1405]]
  (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 conv2d_1/convolution}}]]

Where is my problem?

J. Ferrarons
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Mr. Fkcm95
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  • Did you install cuda driver? If so, did you set the LD_LIBRARY_PATH env variable appropriately? – Hamed Sep 27 '19 at 17:14
  • I used Keras on Windows. I set not the LD_LIBRARY_PATH. What is the content of the Variable? – Mr. Fkcm95 Sep 27 '19 at 17:37
  • It indicates the location of installed cuda. Probably it cannot find the cuda. – Hamed Sep 27 '19 at 18:10
  • C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\lib\x64... Is this path correct? – Mr. Fkcm95 Sep 27 '19 at 18:45
  • look at [here](https://stackoverflow.com/questions/53698035/failed-to-get-convolution-algorithm-this-is-probably-because-cudnn-failed-to-in) – Hamed Sep 27 '19 at 19:13

1 Answers1

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This error usually occurs due to vesion mismatch of CUDA/cudnn. Please follow instructions on link provided: https://www.tensorflow.org/install/gpu. Also if your default python is coming from Anaconda you should install evrything using conda.

Siddharth Jadhav
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