> [!META]- Inline Metadata > [status:: boat] > [source:: https://www.tensorflow.org/install/pip#linux_1] > [tags:: #note/evergreen #state/boat] > [up:: [[Tensorflow MOC]]] ## Exception ``` 2023-04-03 16:05:09.410087: W tensorflow/core/framework/op_kernel.cc:1830] OP_REQUIRES failed at xla_ops.cc:362 : INTERNAL: RET_CHECK failure (tensorflow/compiler/xla/service/gpu/gpu_compiler.cc:618) dnn != nullptr 2023-04-03 16:05:09.428729: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:417] Loaded runtime CuDNN library: 8.0.5 but source was compiled with: 8.6.0. CuDNN library needs to have matching major version and equal or higher minor 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. ``` ## How to Fix A number of unclear bits of documentation exist for this, that seem to conflict. Install cudnn with `pip` and then update paths: ``` $ conda install -c conda-forge cudatoolkit=11.8.0 $ pip install nvidia-cudnn-cu11==8.6.0.163 # this should be compiled version $ CUDNN_PATH=$(dirname $(python -c "import nvidia.cudnn;print(nvidia.cudnn.__file__)")) $ export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$CONDA_PREFIX/lib/:$CUDNN_PATH/lib ``` Versions of cuDNN before 8.6 aren't on pip. Install from nvidia's CUDNN archive: https://docs.nvidia.com/deeplearning/cudnn/install-guide/index.html#download See also [installing any version of CUDA](https://medium.com/analytics-vidhya/installing-any-version-of-cuda-on-ubuntu-and-using-tensorflow-and-torch-on-gpu-b1a954500786) (for CUDA toolkit) ### Without Conda #### Install Prereqs nvidia drivers (maybe), cuda toolkit, cudnn tensorflow.org/install/source#gpu - match CUDA and CUDNN versions set CUDNN_PATH (whereis libcudnn.so.MAJOR.MINOR.REVISION) set LD_LIBRARY_PATH (usually /usr/local/cuda-VERSION or /usr/local/cuda/) **Note:** This will work if running from a terminal SSH connection. For some reason running via Pycharm's Run dialog doesn't work correctly. ## Source https://www.tensorflow.org/install/pip#linux_1