title: What is the correct version of CUDNN for CUDA 11.0
body: <p>I want to start using <code>tensorflow-gpu</code>, and I looked some stuff up, and found out that I need to ensure that I have both <code>CUDA</code> and <code>CUDNN</code>. So, I opened up the command prompt and ran the command <code>nvidia-smi</code> to check my <code>CUDA</code> version:</p>
  
  <pre><code>C:\Program Files\NVIDIA Corporation\NVSMI&gt;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      |
  +-----------------------------------------------------------------------------+
  </code></pre>
  
  <p>Now that I see my <code>CUDA</code> version is <code>11.0</code>, I went to the <a href="https://developer.nvidia.com/rdp/cudnn-download" rel="nofollow noreferrer">NVidia's website</a> to select a version of <code>CUDNN</code> that can work with <code>CUDA 11.0</code>, but the latest ones support up to <code>CUDA 10.2</code> currently. What should I do? Can I use the one for <code>CUDA 10.2</code>?</p>