title: tf strided_slice equivalent in numpy?
body: <p>I'm trying to "backport", in a sense, the tensorflow strided slice operation tf.strided_slice (<a href="https://www.tensorflow.org/api_docs/python/tf/strided_slice" rel="nofollow noreferrer">https://www.tensorflow.org/api_docs/python/tf/strided_slice</a>) into numpy, but I can't figure out how to do it. More specifically, given the arguments for a call to strided slice, how would I manipulate these into array indices to produce the same result that a call to tf.strided_slice would produce? </p>
  
  <p>(I know that tf.strided_slice is for use on tensors and numpy slice indexing is for use on numpy arrays)</p>