CODEWITHSUNDEEP
pythontensorflow
Val_
Val_

Reputation: 341

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

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 :

path to libs

and I've added the environnement variables :

enter image description here

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!

Upvotes: 1

Views: 10463

Answers (3)

Val_
Val_

Reputation: 341

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#gpu

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

Upvotes: 4

yuchen
yuchen

Reputation: 11

I have the same problem when I use CUDA v11.6 and cuDNN v8.4.

I solve it by changing CUDA v11.6 to v11.4 and cuDNN v8.4 to v8.2.4

Here is CUDA and cuDNN

Upvotes: 1

Yuichiro Shishido
Yuichiro Shishido

Reputation: 1

My case. The PATH has been duplicated.

error
PATH=****;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.3\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.3\libnvvp;*****;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\libnvvp;

correct
PATH=****;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\libnvvp;

The cuda installers add path. Duplicated paths often will cause errors.

Upvotes: 0

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