code: def leaky_relu(x, negative_slope=0.2):
      """Leaky relu activation function.
  
      Args:
          x: Input tensor.
          negative_slope: A `float` that controls the slope
              for values lower than the threshold.
      """
      return ops.leaky_relu(x, negative_slope=negative_slope)
  
imports: from keras import backend
  from keras import ops
  from keras.api_export import keras_export
label_desc: Use image node_id 2 for calling a global function with example usage: leaky_relu(x, negative_slope) and returns: ops