2491af9de0dd8d20c4bb8236d9c51cdb33f14060,deepexplain/tensorflow/methods.py,GradientXInput,get_symbolic_attribution,#GradientXInput#,155

Before Change

class GradientXInput(GradientBasedMethod):

    def get_symbolic_attribution(self):
        return tf.gradients(self.T, self.X)[0] * self.X



Integrated Gradients

After Change

class GradientXInput(GradientBasedMethod):

    def get_symbolic_attribution(self):
        return [g * x for g, x in zip(
            tf.gradients(self.T, self.X),
            self.X if self.has_multiple_inputs else [self.X])]



Integrated Gradients

Instances