code: def shift(shape, stride, anchors):
      """Produce shifted anchors based on shape of the map and stride size.
  
      Args
          shape  : Shape to shift the anchors over.
          stride : Stride to shift the anchors with over the shape.
          anchors: The anchors to apply at each location.
      """
      shift_x = (
          keras.backend.arange(
              0, shape[1], dtype=keras.backend.floatx()
          )
          + keras.backend.constant(0.5, dtype=keras.backend.floatx())
      ) * stride
      shift_y = (
          keras.backend.arange(
              0, shape[0], dtype=keras.backend.floatx()
          )
          + keras.backend.constant(0.5, dtype=keras.backend.floatx())
      ) * stride
  
      shift_x, shift_y = tensorflow.meshgrid(shift_x, shift_y)
      shift_x = keras.backend.reshape(shift_x, [-1])
      shift_y = keras.backend.reshape(shift_y, [-1])
  
      shifts = keras.backend.stack(
          [shift_x, shift_y, shift_x, shift_y], axis=0
      )
  
      shifts = keras.backend.transpose(shifts)
      number_of_anchors = keras.backend.shape(anchors)[0]
  
      k = keras.backend.shape(shifts)[
          0
      ]  # number of base points = feat_h * feat_w
  
      shifted_anchors = keras.backend.reshape(
          anchors, [1, number_of_anchors, 4]
      ) + keras.backend.cast(
          keras.backend.reshape(shifts, [k, 1, 4]),
          keras.backend.floatx(),
      )
      shifted_anchors = keras.backend.reshape(
          shifted_anchors, [k * number_of_anchors, 4]
      )
  
      return shifted_anchors
  
imports: import tensorflow
  from tensorflow import keras
label_desc: Use image node_id 2 for calling a global function with example usage: shift(shape, stride, anchors) and returns: shifted_anchors