Method __mul__

machine_learning/automatic_differentiation.py:83–90

(self, other: Variable)

        return result

    def __mul__(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.MUL, params=[self, other], output=result)
        return result

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