class_docstr: A TF1CoreSaleincy class that computes saliency masks using occlusion.
class_docstr_tok: ["A","TF1CoreSaleincy","class","that","computes","saliency","masks","using","occlusion","."]
docstr: Returns an occlusion mask.
  
  Args:
    x_value: Input value, not batched.
    feed_dict: (Optional) feed dictionary to pass to the session.run call.
    size: Height and width of the occlusion window. Default is 15.
    value: Value to repalce values inside the occlusion window with. Default
      is 0.
docstr_tok: ["Returns","an","occlusion","mask",".","Args",":","x_value",":","Input","value",",","not","batched",".","feed_dict",":","(","Optional",")","feed","dictionary","to","pass","to","the","session.run","call",".","size",":","Height","and","width","of","the","occlusion","window",".","Default","is","15.","value",":","Value","to","repalce","values","inside","the","occlusion","window","with",".","Default","is","0","."]
code: def GetMask(self, x_value, feed_dict=None, size=15, value=0):
      """Returns an occlusion mask.
  
      Args:
        x_value: Input value, not batched.
        feed_dict: (Optional) feed dictionary to pass to the session.run call.
        size: Height and width of the occlusion window. Default is 15.
        value: Value to repalce values inside the occlusion window with. Default
          is 0.
      """
      return self.core_instance.GetMask(
          x_value,
          self.call_model_function,
          call_model_args=feed_dict,
          size=size,
          value=value,
      )
  
imports: from .base import TF1CoreSaliency
  from ..core import occlusion
label_desc: Use image node_id 2 for calling the Occlusion obj's underlying member method code with example usage: obj.GetMask(x_value, feed_dict, size, value) and returns: self