code: def _unmap(data, count, inds, fill=0):
      """Unmap a subset of item (data) back to the original set of items (of
      size count)"""
      if len(data.shape) == 1:
          ret = np.empty((count,), dtype=np.float32)
          ret.fill(fill)
          ret[inds] = data
      else:
          ret = np.empty((count,) + data.shape[1:], dtype=np.float32)
          ret.fill(fill)
          ret[inds, :] = data
      return ret
  
file_path: neon/examples/faster-rcnn/tests/anchor_target_layer_ref.py
imports: from __future__ import division
  from __future__ import print_function
  from builtins import range
  from builtins import object
  import numpy
  import numpy.random
  from generate_anchors import generate_anchors
  from util import bbox_transform
label_desc: Use image node_id 1 for calling a global function with example usage: _unmap(data, count, inds, fill) and returns: ret