L1Unstructured
class torch.nn.utils.prune.L1Unstructured(amount)
Prune (currently unpruned) units in a tensor by zeroing out the
   ones with the lowest L1-norm.
Parameters:
      amount (int or float) -- quantity of parameters to
      prune. If "float", should be between 0.0 and 1.0 and represent
      the fraction of parameters to prune. If "int", it represents the
      absolute number of parameters to prune.
classmethod apply(module, name, amount, importance_scores=None)
  Adds the forward pre-hook that enables pruning on the fly and
  the reparametrization of a tensor in terms of the original
  tensor and the pruning mask.

  Parameters:
     * **module** (*nn.Module*) -- module containing the tensor to
       prune

     * **name** (*str*) -- parameter name within "module" on which
       pruning will act.

     * **amount** (*int** or **float*) -- quantity of parameters
