class_docstr: A TF1CoreSaliency class that implements IG along blur path.
  
  https://arxiv.org/abs/2004.03383
  
  Generates a saliency mask by computing integrated gradients for a given input
  and prediction label using a path that successively blurs the image.
class_docstr_tok: ["A","TF1CoreSaliency","class","that","implements","IG","along","blur","path",".","https",":","\/\/arxiv.org\/abs\/2004.03383","Generates","a","saliency","mask","by","computing","integrated","gradients","for","a","given","input","and","prediction","label","using","a","path","that","successively","blurs","the","image","."]
code: def __init__(self, graph, session, y, x):
      super(BlurIG, self).__init__(graph, session, y, x)
      self.core_instance = core_blur_ig.BlurIG()
  
imports: from .base import TF1CoreSaliency
  from ..core import blur_ig
label_desc: Use image node_id 1 to create a new BlurIG object from inherited base classes: TF1CoreSaliency with example: obj = BlurIG(graph, session, y, x)