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I have encounter "I tensorflow/stream_executor/cuda/cuda_dnn.cc:368] Loaded cuDNN version 8400 Could not load library cudnn_cnn_infer64_8.dll. Error code 193"

will working with TensorFlow. version: TensorFlow 2.8 CUDA 11.6 CUDNN 8.4

yennam praneeth
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    Can you please try with `CUDA: 11.2` and `cuDNN: 8.1` as recommended [here](https://www.tensorflow.org/install/source_windows#gpu). For more details please refer similar issue [here](https://stackoverflow.com/questions/70552632/). Thanks! –  Apr 26 '22 at 13:04
  • @TFer2 how to specify cuDNN version? – NeoZoom.lua Aug 08 '22 at 04:39

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The versions you installed for TensorFlow and NVIDIA CUDA probably don't match. Try using one of the versions tested here: Tensorflow GPU Source Install Don't forget to install "tensorflow-gpu" module instead of "tensorflow" in order to use NVIDIA GPU Acceleration.

Onofrei Tudor
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    As it’s currently written, your answer is unclear. Please [edit] to add additional details that will help others understand how this addresses the question asked. You can find more information on how to write good answers [in the help center](/help/how-to-answer). – Community May 26 '22 at 06:42
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i simply used conda insted pip to install cuda and cudnn. then used pip for the tensorflow gpu instalation. vrsions that worked with each other are cuda 11.2 and tensorflow2.10. anything above 2.10 not suport gpu

alex
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