pruned version of the input tensor
  Return type:
     pruned_tensor (torch.Tensor)

compute_mask(t, default_mask)
  Applies the latest "method" by computing the new partial masks
  and returning its combination with the "default_mask". The new
  partial mask should be computed on the entries or channels that
  were not zeroed out by the "default_mask". Which portions of the
  tensor "t" the new mask will be calculated from depends on the
  "PRUNING_TYPE" (handled by the type handler):

  * for 'unstructured', the mask will be computed from the raveled
    list of nonmasked entries;

  * for 'structured', the mask will be computed from the nonmasked
    channels in the tensor;

  * for 'global', the mask will be computed across all entries.

  Parameters:
     * **t** (*torch.Tensor*) -- tensor representing the parameter
       to prune (of same dimensions as "default_mask").
