title: Tensorflow 1.15 + CUDA + cuDNN installation using Conda
body: <p>I am trying to install tensorflow-gpu 1.15 using Conda for an easy install of CUDA and cuDNN. The problem is that checking the <a href="https://www.tensorflow.org/install/source#configuration_options" rel="noreferrer">compatibility chart</a> of the official web I need python 3.6, CUDA 10.0 and cuDNN 7.4.</p>
  <p>Searching the Conda rep via <code>conda search cudnn</code> it says that there isn't cuDNN 7.4. Is there any other way to install the required packages? Or maybe tensorflow 1.15 also works with other combinations of versions?</p>
  <p>As a side note, python 3.6, tensorflow-gpu 1.15 and CUDA 10 install correctly, but it seems I can't use the GPU correctly without cuDNN.
  I just recently started using Conda, so maybe there is a straight forward way to do this that I don't realize. My Conda version is 4.9.1 (miniconda version).</p>
  <p>---update---</p>
  <p>Just in case I add the error while trying <code>conda create -n myenv -c conda-forge tensorflow-gpu=1.15</code>:</p>
  <pre><code>Collecting package metadata (current_repodata.json): done
  Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
  Collecting package metadata (repodata.json): done
  Solving environment: - 
  Found conflicts! Looking for incompatible packages.
  This can take several minutes.  Press CTRL-C to abort.
  failed                                                                                                                                                                                                                                        
  
  UnsatisfiableError: The following specifications were found to be incompatible with each other:
  
  Output in format: Requested package -&gt; Available versions
  
  Package _tflow_select conflicts for:
  _tflow_select==2.1.0=gpu
  tensorflow==1.15.0 -&gt; _tflow_select[version='2.1.0|2.3.0|2.2.0',build='gpu|mkl|eigen']
  Note that strict channel priority may have removed packages required for satisfiability.
  </code></pre>