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Update cudnn semantic version in README to avoid performance issue #1239

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2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -86,7 +86,7 @@ The libraries (cuBLAS, cuDNN) are installed in this official NVIDIA CUDA Docker
On Linux these libraries can be installed with `pip`. Note that `LD_LIBRARY_PATH` must be set before launching Python.

```bash
pip install nvidia-cublas-cu12 nvidia-cudnn-cu12==9.*
pip install nvidia-cublas-cu12 'nvidia-cudnn-cu12<9.6,>=9'

export LD_LIBRARY_PATH=`python3 -c 'import os; import nvidia.cublas.lib; import nvidia.cudnn.lib; print(os.path.dirname(nvidia.cublas.lib.__file__) + ":" + os.path.dirname(nvidia.cudnn.lib.__file__))'`
```
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