title: Difference between pytorch torchvision and conda-forge torchvision
body: <p>I tried to install the latest version of torchvision (<code>v0.13.0</code>) on my anaconda3 environment (python 3.9.12) on mac, with <code>conda install -c pytorch torchvision</code> as shown <a href="https://anaconda.org/pytorch/torchvision" rel="nofollow noreferrer">here</a>:</p>
  <p><a href="https://i.stack.imgur.com/uwFYj.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/uwFYj.png" alt="enter image description here" /></a></p>
  <p>but I got <code>torchvision == v.0.2.2</code> instead.</p>
  <p>There is a <code>conda-forge</code> version of torchvision (<code>v.0.12.0</code>) that I found <a href="https://anaconda.org/conda-forge/torchvision" rel="nofollow noreferrer">here</a> and I can get with <code>conda install -c conda-forge torchvision</code>, but I'm not sure the difference between them and which one I should use.</p>
  <p>My questions are:</p>
  <ul>
  <li>What are the difference between <code>pytorch torchvision</code> and <code>conda-forge torchvision</code>?</li>
  <li>How to choose which one to use?</li>
  <li>Is there a way to install <code>v0.13.0</code>? (Is there a command to get <code>v0.13.0</code>?)</li>
  </ul>
  <p>Thank you,</p>