Method __add__

machine_learning/automatic_differentiation.py:65–72

(self, other: Variable)

        return self.value

    def __add__(self, other: Variable) -> Variable:
        result = Variable(self.value + other.value)

        with GradientTracker() as tracker:
            # if tracker is enabled, computation graph will be updated
            if tracker.enabled:
                tracker.append(OpType.ADD, params=[self, other], output=result)
        return result

    def __sub__(self, other: Variable) -> Variable:
        result = Variable(self.value - other.value)