[FIXED] Tensorflow-gpu cudnn_cnn_infer64_8.dll not recognised [Error code 193]

Issue

When trying to use Tensorflow (gpu), it won't run because of this :

Could not load library cudnn_cnn_infer64_8.dll. Error code 193 Please make sure cudnn_cnn_infer64_8.dll is in your library path!

The thing is, that I have this lib :

and I've added the environnement variables :

Full error message :

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. 2022-01-02 00:22:39.438945: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1525] Created device /device:GPU:0 with 5468 MB memory: -> device: 0, name: NVIDIA GeForce RTX 3070, pci bus id: 0000:01:00.0, compute capability: 8.6 2022-01-02 00:22:40.466945: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1525] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 5468 MB memory: -> device: 0, name: NVIDIA GeForce RTX 3070, pci bus id: 0000:01:00.0, compute capability: 8.6 2022-01-02 00:22:41.646700: I tensorflow/stream_executor/cuda/cuda_blas.cc:1774] TensorFloat-32 will be used for the matrix multiplication. This will only be logged once. 2022-01-02 00:22:41.780145: I tensorflow/stream_executor/cuda/cuda_dnn.cc:366] Loaded cuDNN version 8301 Could not load library cudnn_cnn_infer64_8.dll. Error code 193 Please make sure cudnn_cnn_infer64_8.dll is in your library path!

Solution

It was simply because I can't read the doc properly...

I installed all the latest versions of CUDA, cuDNN and Tensorflow GPU, but they aren't compatible.

here is what helped me : https://www.tensorflow.org/install/source_windows?hl=fr

So I installed :

• tensorflow_gpu-2.6
• CUDA 11.2
• cuDNN 8.1

and guess what, everything works fine now !

So in case of :

Could not load library cudnn_cnn_infer64_8.dll. Error code 126

or

Could not load library cudnn_cnn_infer64_8.dll. Error code 193

Re-install CUDA with the recommended versions and don't forget to update your PATH

Answered By - Val_