title: How to get columns from 2D tensor list in Pytorch
body: <p>I have a one 2D list that contains tensors like:</p>
  <pre><code>[
   [tensor([-0.0705,  1.2019]), tensor([[0]]), tensor([-1.3865], dtype=torch.float64), tensor([-0.0744,  1.1880]), tensor([False])],
   [tensor([-0.0187,  1.3574]), tensor([[2]]), tensor([0.3373], dtype=torch.float64), tensor([-0.0221,  1.3473]), tensor([False])],
   [....] ]
  </code></pre>
  <p>The outer list contains 64 little list. One little list contains 5 different tensor elements.</p>
  <p>And I want to get first elements of inner lists like <code>tensor([-0.0705,  1.2019])</code> and <code>tensor([-0.0187,  1.3574])</code> and create tensor like 64x2 to feed my neural  net.</p>
  <p>How can I do this in the fastest way?</p>
  <p>Thanks</p>