class_docstr: Assign anchors to ground-truth targets. Produces anchor classification
  labels and bounding-box regression targets.
class_docstr_tok: ["Assign","anchors","to","ground-truth","targets",".","Produces","anchor","classification","labels","and","bounding-box","regression","targets","."]
code: def clone(self, cloned_inputs):
      return AnchorTargetLayer(
          cloned_inputs[0],
          cloned_inputs[1],
          cloned_inputs[2],
          rpn_batch_size=self._rpn_batch_size,
          rpn_fg_fraction=self._rpn_fg_fraction,
          clobber_positives=self._clobber_positives,
          positive_overlap=self._positive_overlap,
          negative_overlap=self._negative_overlap,
          param_str=self._param_str,
          cfm_shape=self._cfm_shape,
      )
  
imports: import os
  from cntk import output_variable
  from cntk.ops.functions import UserFunction
  import yaml
  import numpy
  import numpy.random
  from utils.rpn.generate_anchors import generate_anchors
  from utils.rpn.bbox_transform import bbox_transform
  from utils.cython_modules.cython_bbox import bbox_overlaps
label_desc: Use image node_id 5 for calling the AnchorTargetLayer obj's underlying member method code with example usage: obj.clone(cloned_inputs) and returns: AnchorTargetLayer