code: def convert_merge(
      builder, layer, input_names, output_names, keras_layer
  ):
      """Convert concat layer from keras to coreml.
  
      Parameters
      ----------
      keras_layer: layer
          A keras layer object.
  
      builder: NeuralNetworkBuilder
          A neural network builder object.
      """
      # Get input and output names
      output_name = output_names[0]
  
      mode = _get_elementwise_name_from_keras_layer(keras_layer)
      builder.add_elementwise(
          name=layer,
          input_names=input_names,
          output_name=output_name,
          mode=mode,
      )
  
imports: from .None import _utils
  import keras
  import numpy
label_desc: Use image node_id 7 for calling a global function with example usage: convert_merge(builder, layer, input_names, output_names, keras_layer) without return types