ImportError: Could Not Find 'cudart64_100.dll
Solution 1:
The simplest way to fix is to install the latest ‘NVIDIA GPU Computing Toolkit’, because if it's not there, you'll be missing the 'cudart64_100.dll' library. The only issue is that the latest copy of CUDA has this particular library upgraded to 'cudart64_101.dll', while the latest TensorFlow still requires the older 'cudart64_100.dll'. Anyways, one way to deal with this issue is to install the latest CUDA + CUDA from September 2018 and then copy 'cudart64_100.dll' library from old install to the new one.
Or just visit my site where I linked the 'cudart64_100.dll' library downloaded from the CUDA Toolkit 10.0 (Sept 2018), to make it easier to copy it into the latest CUDA directory.
Here are some screenshots to illustrate the process: https://www.joe0.com/2019/10/19/how-resolve-tensorflow-2-0-error-could-not-load-dynamic-library-cudart64_100-dll-dlerror-cudart64_100-dll-not-found/
Solution 2:
I have faced similar issue. I have added the directory of the cudart64_100.dll file to the PATH variable but still it prompts the error "cudart64_100.dll" not found. In the end I finally manage to make it work by adding the following codes. Hope it helps.
import ctypes
hllDll = ctypes.WinDLL("C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\bin\\cudart64_100.dll")
Solution 3:
I had similar error:
cudart64_101.dll not found
It is because the latest version of CUDA requires older CUDA-version.dll files to work properly. The solution would be try installing the previous version of CUDA.
Once you have downloaded CUDA 10.1 run the .exe file which will first extract the necessary files in C:\Users\your_user_name\AppData\Local\Temp\CUDA.
Once the extraction is completed do not proceed with the installation navigate to the directory C:\Users\your_user_name\AppData\Local\Temp\CUDA\cudart\bin and here you will find the missing DLL file cudart64_101.dll and cudart32_101.dll copy both the files to C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\bin and then cancel the installation.
Follow the same steps for any CUDA version will work for sure. Hope this helps thank you!!!
Solution 4:
I also was dealing with the current situation that tensorflow expects cudart64_101.dll and NVIDIA offers Version 10.2 as main version (including cudart64_102.dll).
I simply installed both versions. I have both versions in the windows path. Beside disc space, I did not have problems so far and GPU is used in tensorflow.
Solution 5:
Just rename
\program files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\bin\cudart64_102.dll
to cudart100.dll
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