Are you looking for the fix of ImportError: Could not find ‘nvcuda.dll’ TensorFlow? This is one of the very common errors on Importing TensorFlow GPU. In this article, We will see how can we fix this bug step by step.
Cause of the bug [ ImportError: Could not find ‘nvcuda.dll’ TensorFlow ]-
This bug occurs when we install the TensorFlow GPU version. There are some hardware and Software Requirements for the TensorFlow GPU version. On the Hardware side, It needs a graphic card like NVIDIA mainly (Full Hardware requirement for TensorFlow GPU). On the Software side, It needs a CUDA driver mainly ( Get detailed software requirements for TensorFlow GPU ). This bug occurs when we do not have a CUDA ToolKit installed. You need to also ensure that CuDNN should compatible with the TensorFlow Version.
Fix for [ ImportError: Could not find ‘nvcuda.dll’ TensorFlow ]-
Here are some steps to fix this bug. If you carefully follow all the steps then you will successfully solve this error.
Download the nvcuda.dll from here. This DDL is downloaded from DDL-FILES.COM. It contains all the DDL files required for OS. You can download any ddl files from here.
We need to register the nvcuda.dll Now. In order to register it, We will execute the below command.
You can also directly copy and paste the downloaded nvcuda.dll to the C:\Windows\System32\nvcuda.dll destination.
Step 3 :
After successfully registering the nvcuda.dll, We will uninstall TensorFlow and the protobuf module.
pip uninstall protobuf pip uninstall tensorflow-gpu
Step 4 :
Now we need to reinstall both packages TensorFlow and the protobuf module. Please use the below commands to install these package.
pip install protobuf pip install tensorflow-gpu
Update the system also. Go to the system property -> Advance -> Environment Variables->System Variables. Here we need to add the below path also.
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\bin C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\libnvvp
step 6 (Optional):
We can also verify the installation of TensorFlow GPU using the below command. This will show the devices (GPU). This is an optional step to verify only. There is nothing to do with the bug fix here.
from tensorflow.python.client import device_lib print(device_lib.list_local_devices())
Here we go! I hope you find this solution helpful for fixing the above bug (ImportError: Could not find ‘nvcuda.dll’ TensorFlow). Please Lets us know if you are still stuck with this bug.
Data Science Learner Team
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