8e23a3ec47a2ccbf6cdd222a80886c6b9f17264f,keras/initializers.py,VarianceScaling,__call__,#VarianceScaling#Any#Any#,201

Before Change

                                      dtype=dtype, seed=self.seed)
        else:
            limit = np.sqrt(3. * scale)
            return K.random_uniform(shape, -limit, limit,
                                    dtype=dtype, seed=self.seed)

    def get_config(self):
        return {
            "scale": self.scale,

After Change

                                   dtype=dtype, seed=self.seed)
        else:
            limit = np.sqrt(3. * scale)
            x = K.random_uniform(shape, -limit, limit,
                                 dtype=dtype, seed=self.seed)
        if self.seed is not None:
            self.seed += 1
        return x

Instances