I want to start using tensorflow-gpu, and I looked some stuff up, and found out that I need to ensure that I have both CUDA and CUDNN. So, I opened up the command prompt and ran the command nvidia-smi to check my CUDA version:
C:\Program Files\NVIDIA Corporation\NVSMI>nvidia-smi
Tue Jun 02 14:13:03 2020
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 445.87 Driver Version: 445.87 CUDA Version: 11.0 |
|-------------------------------+----------------------+----------------------+
| GPU Name TCC/WDDM | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 1050 WDDM | 00000000:01:00.0 Off | N/A |
| N/A 40C P8 N/A / N/A | 77MiB / 4096MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU PID Type Process name GPU Memory |
| Usage |
|=============================================================================|
| 0 10488 C+G ...n64\EpicGamesLauncher.exe N/A |
| 0 12636 C+G ...4\UnrealCEFSubProcess.exe N/A |
+-----------------------------------------------------------------------------+
Now that I see my CUDA version is 11.0, I went to the NVidia's website to select a version of CUDNN that can work with CUDA 11.0, but the latest ones support up to CUDA 10.2 currently. What should I do? Can I use the one for CUDA 10.2?
What nvidia-smi shows is not the CUDA version that you have installed, but the maximum CUDA version that your driver supports.
CUDA 11.0 has been announced but not released yet (as of June 2nd 2020), so you should use CUDA 10.2 as it's the latest available version.