class_docstr: SSD model is like a Tree, except with additional handling for the output layer, and
  for the prior boxes
class_docstr_tok: ["SSD","model","is","like","a","Tree",",","except","with","additional","handling","for","the","output","layer",",","and","for","the","prior","boxes"]
code: def allocate(self, shared_outputs=None):
      super(SSD, self).allocate(shared_outputs)
  
      for prior_box in self.prior_boxes:
          prior_box.allocate()
  
      self.concat_conf.allocate()
      self.concat_loc.allocate()
      self.output_layer.allocate()
  
imports: from neon.initializers import Constant, Xavier
  from neon.transforms import Rectlin
  from neon.layers import Conv, Pooling, BranchNode
  from layer import Normalize, PriorBox, DetectionOutput, ConcatTranspose
  import numpy
  from neon.util.persist import load_obj
  from neon.layers.container import Tree
  from neon.layers.layer import Layer
  from collections import OrderedDict
  import inspect
  import re
  from neon.data.datasets import Dataset
  import os
label_desc: Use image node_id 7 for calling the SSD obj's underlying member method code with example usage: obj.allocate(shared_outputs) without return types