class_docstr: Thresholded Linear Unit.
  
  An activation function which is similar to ReLU
  but with a learned threshold that benefits models using FRN(Filter Response
  Normalization). Original paper: https://arxiv.org/pdf/1911.09737.
  
  Input shape:
      Arbitrary. Use the keyword argument `input_shape`
      (tuple of integers, does not include the samples axis)
      when using this layer as the first layer in a model.
  
  Output shape:
      Same shape as the input.
  
  Args:
      affine: `bool`. Whether to make it TLU-Affine or not
          which has the form $\max(x, \alpha*x + \tau)$`
code: def call(self, inputs):
      v = self.alpha * inputs if self.affine else 0
      return tf.maximum(inputs, self.tau + v)
  
file_path: addons/tensorflow_addons/layers/tlu.py
imports: import tensorflow
  from typeguard import typechecked
  from tensorflow_addons.utils import types
label_desc: Use image node_id 3 for calling the TLU obj's underlying member method code with example usage: obj.call(inputs) and returns: tf