the importance of the corresponding elements in the "t"
           that is being pruned. If unspecified or None, the tensor
           "t" will be used in its place.
     * **default_mask** (*torch.Tensor**, **optional*) -- mask
       from previous pruning iteration, if any. To be considered
       when determining what portion of the tensor that pruning
       should act on. If None, default to a mask of ones.

  Returns:
     pruned version of tensor "t".

remove(module)
  Removes the pruning reparameterization from a module. The pruned
  parameter named "name" remains permanently pruned, and the
  parameter named "name+'_orig'" is removed from the parameter
  list. Similarly, the buffer named "name+'_mask'" is removed from
  the buffers.

  Note:

    Pruning itself is NOT undone or reversed!
