class_docstr: Leaky version of a Rectified Linear Unit.
  
  It allows a small gradient when the unit is not active:
  
  ```
    f(x) = alpha * x if x < 0
    f(x) = x if x >= 0
  ```
  
  Usage:
  
  >>> layer = tf.keras.layers.LeakyReLU()
  >>> output = layer([-3.0, -1.0, 0.0, 2.0])
  >>> list(output.numpy())
  [-0.9, -0.3, 0.0, 2.0]
  >>> layer = tf.keras.layers.LeakyReLU(alpha=0.1)
  >>> output = layer([-3.0, -1.0, 0.0, 2.0])
  >>> list(output.numpy())
  [-0.3, -0.1, 0.0, 2.0]
  
  Input shape:
    Arbitrary. Use the keyword argument `input_shape`
    (tuple of integers, does not include the batch axis)
    when using this layer as the first layer in a model.
  
  Output shape:
    Same shape as the input.
  
  Args:
    alpha: Float >= 0. Negative slope coefficient. Default to 0.3.
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code: def compute_output_shape(self, input_shape):
      return input_shape
  
imports: from tensorflow.python.framework import dtypes
  from tensorflow.python.keras import backend
  from tensorflow.python.keras import constraints
  from tensorflow.python.keras import initializers
  from tensorflow.python.keras import regularizers
  from tensorflow.python.keras.engine.base_layer import Layer
  from tensorflow.python.keras.engine.input_spec import InputSpec
  from tensorflow.python.keras.utils import tf_utils
  from tensorflow.python.ops import math_ops
label_desc: Use image node_id 4 for calling the LeakyReLU obj's underlying member method code with example usage: obj.compute_output_shape(input_shape) and returns: input_shape