class_docstr: Applies an activation function to an output.
  Arguments:
      activation: name of activation function to use or
          TF Encrypted operation.
  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 input.
code: def compute_output_shape(self, input_shape):
      return input_shape
  
file_path: tf-encrypted/tf_encrypted/keras/layers/activation.py
imports: from tf_encrypted.keras import activations
  from tf_encrypted.keras.engine import Layer
label_desc: Use image node_id 4 for calling the Activation obj's underlying member method code with example usage: obj.compute_output_shape(input_shape) and returns: input_shape