code: def convert_padding(
      builder, layer, input_names, output_names, keras_layer
  ):
      """Convert padding layer from keras to coreml.
      Keras only supports zero padding at this time.
      Parameters
      ----------
      keras_layer: layer
          A keras layer object.
  
      builder: NeuralNetworkBuilder
          A neural network builder object.
      """
      # Get input and output names
      input_name, output_name = (input_names[0], output_names[0])
  
      if isinstance(
          keras_layer, keras.layers.convolutional.ZeroPadding1D
      ):
          left, right = keras_layer.padding
          top, bottom = (0, 0)
      else:  # 2D
          top, left = keras_layer.padding
          bottom, right = keras_layer.padding
  
      # Now add the layer
      builder.add_padding(
          name=layer,
          left=left,
          right=right,
          top=top,
          bottom=bottom,
          value=0,
          input_name=input_name,
          output_name=output_name,
      )
  
imports: from .None import _utils
  import keras
  import numpy
label_desc: Use image node_id 9 for calling a global function with example usage: convert_padding(builder, layer, input_names, output_names, keras_layer) without return types