code: def yoloDownsampleConvBlock(self, filters):
      def feed(x, y):
          x = self.darknetConv(filters, 3, strides=2)(x)
          x = tf.keras.layers.Concatenate()([x, y])
  
          x = self.darknetConv(filters, 1)(x)
          x = self.darknetConv(2 * filters, 3)(x)
          x = self.darknetConv(filters, 1)(x)
          x = self.darknetConv(2 * filters, 3)(x)
          x = self.darknetConv(filters, 1)(x)
  
          return x
  
      return feed
  
imports: import tensorflow
  import numpy
  from layers import Mish, ScaledRandomUniform
  import utils
label_desc: Use image node_id 12 for calling the YOLOv4Model obj's underlying member method code with example usage: obj.yoloDownsampleConvBlock(filters) and returns: feed, x