class_docstr: A CoreSaliency class that computes saliency masks using the XRAI method.
class_docstr_tok: ["A","CoreSaliency","class","that","computes","saliency","masks","using","the","XRAI","method","."]
code: def _predict(self, x):
      raise NotImplementedError
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import logging
  from .base import CoreSaliency
  from .integrated_gradients import IntegratedGradients
  import numpy
  from skimage import segmentation
  from skimage.morphology import dilation
  from skimage.morphology import disk
  from skimage.transform import resize
label_desc: Use image node_id 4 for calling the XRAI obj's underlying member method code with example usage: obj._predict(x) without return types