code: def convert_softmax(
      builder, layer, input_names, output_names, keras_layer
  ):
      """Convert a softmax layer from keras to coreml.
  
      Parameters
      keras_layer: layer
      ----------
          A keras layer object.
  
      builder: NeuralNetworkBuilder
          A neural network builder object.
      """
      input_name, output_name = (input_names[0], output_names[0])
  
      builder.add_softmax(
          name=layer, input_name=input_name, output_name=output_name
      )
  
imports: from .None import _utils
  import keras
  import numpy
label_desc: Use image node_id 21 for calling a global function with example usage: convert_softmax(builder, layer, input_names, output_names, keras_layer) without return types