83d2af58c2c38da76ac7065ee3cc29c8483481cf,python/mxnet/gluon/probability/distributions/gamma.py,Gamma,sample,#Gamma#Any#,79

Before Change

        return new_instance

    def sample(self, size=None):
        return self.F.np.random.gamma(self.shape, self.scale, size)

    def sample_n(self, size=None):
        return self.F.np.random.gamma(self.shape, self.scale, sample_n_shape_converter(size))

After Change

        return new_instance

    def sample(self, size=None):
        return self.F.np.random.gamma(self.shape, 1, size) * self.scale

    def sample_n(self, size=None):
        return self.F.np.random.gamma(self.shape, 1, sample_n_shape_converter(size)) * self.scale

Instances