88c2606b36244923c214ee40be069f896bf6342a,syft/frameworks/torch/tensors/interpreters/precision.py,FixedPrecisionTensor,reciprocal,#FixedPrecisionTensor#Any#Any#,481

Before Change

            for i in range(nr_iters):
                result = 2 * result - result * result * new_self
            return result * self.signum()
        elif method.lower() == "division":
            ones = self * 0 + 1
            return ones / self
        elif method.lower() == "log":

After Change

            for i in range(nr_iters):
                result = 2 * result - result * result * new_self
            return result * self.signum()
        elif method == "newton":
            // it is assumed here that input values are taken in [-20, 20]
            x = None
            C = 20
            for i in range(80):
                if x is not None:
                    y = C + 1 - self * (x * x)
                    x = y * x / C
                else:
                    y = C + 1 - self
                    x = y / C
            return x
        elif method == "division":
            ones = self * 0 + 1
            return ones / self
        elif method == "log":

Instances