code: def darknetResidualBlock(self, filters, repeats=1, initial=False):
      def feed(x):
          filters2 = 2 * filters if initial else filters
          x = self.darknetConv(
              2 * filters, 3, strides=2, activation="mish"
          )(x)
          route = self.darknetConv(filters2, 1, activation="mish")(x)
          x = self.darknetConv(filters2, 1, activation="mish")(x)
          for i in range(repeats):
              skip = x
              x = self.darknetConv(filters, 1, activation="mish")(x)
              x = self.darknetConv(filters2, 3, activation="mish")(x)
              x = tf.keras.layers.Add()([skip, x])
          x = self.darknetConv(filters2, 1, activation="mish")(x)
          x = tf.keras.layers.Concatenate()([x, route])
          x = self.darknetConv(2 * filters, 1, activation="mish")(x)
          return x
  
      return feed
  
imports: import tensorflow
  import numpy
  from layers import Mish, ScaledRandomUniform
  import utils
label_desc: Use image node_id 9 for calling the YOLOv4Model obj's underlying member method code with example usage: obj.darknetResidualBlock(filters, repeats, initial) and returns: feed, x