title: How to install older versions of CUDA in conda environment?
body: <p>I've been struggling to install an older version of CUDA in a conda environment. In practice, I need to install TensorFlow 1.14 and CUDA 8.0, with the nvcc compiler.</p>
  <p>This is what I've tried:</p>
  <pre><code>conda create -n tf114-cuda8 tensorflow-gpu=1.14 cudatoolkit=8.0 python=3.6
  source activate tf114-cuda8
  </code></pre>
  <p>At this point, nvcc is not available, because it is not included with default conda installation. Thus, I ran:</p>
  <pre><code>conda install -c conda-forge nvcc_linux-64=9.2
  </code></pre>
  <p>..but nothing! Now I have nvcc under the environment directory: <code>~/venvs/conda/miniconda3/envs/tf114-cuda8/</code>, but it seems it is not the right one? In fact, if I do:</p>
  <pre><code>nvcc-version
  </code></pre>
  <p>it returns:</p>
  <blockquote>
  <p>nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2019 NVIDIA
  Corporation Built on Sun_Jul_28_19:07:16_PDT_2019 Cuda compilation
  tools, release 10.1, V10.1.243</p>
  </blockquote>
  <p>What has gone wrong? Why is the nvcc version the 10.1? how can I install TensorFlow 1.14 with CUDA 8.0 and nvcc included?</p>