code: def multibox_prior(
      data,
      sizes=(1.0,),
      ratios=(1.0,),
      steps=(-1.0, -1.0),
      offsets=(0.5, 0.5),
      clip=False,
  ):
      """Generate prior(anchor) boxes from data, sizes and ratios.
  
      Parameters
      ----------
      data : relay.Expr
          The input data tensor.
  
      sizes : tuple of float, optional
          Tuple of sizes for anchor boxes.
  
      ratios : tuple of float, optional
          Tuple of ratios for anchor boxes.
  
      steps : Tuple of float, optional
          Priorbox step across y and x, -1 for auto calculation.
  
      offsets : tuple of int, optional
          Priorbox center offsets, y and x respectively.
  
      clip : boolean, optional
          Whether to clip out-of-boundary boxes.
  
      Returns
      -------
      out : relay.Expr
          3-D tensor with shape [1, h_in * w_in * (num_sizes + num_ratios - 1), 4]
      """
      return _make.multibox_prior(
          data, sizes, ratios, steps, offsets, clip
      )
  
imports: from tvm.relay import expr
  from .None import _make
label_desc: Use image node_id 1 for calling a global function with example usage: multibox_prior(data, sizes, ratios, steps, offsets, clip) and returns: _make