class_docstr: L1 regularizer.
  
  >>> reg = snt.regularizers.L1(0.01)
  >>> reg([tf.constant([1.0, 2.0, 3.0])])
  <tf.Tensor: ...>
code: def __repr__(self):
      # TODO(slebedev): replace with NamedTuple once we are 3.X-only.
      return "L1(scale={})".format(self.scale)
  
imports: import abc
  from typing import Sequence
  from sonnet.src import types
  import tensorflow
label_desc: Use image node_id 2 for calling the L1 obj's underlying member method code with example usage: obj.__repr__() and returns: str