def add_random_normal_static(
        self, name, output_name, output_shape, mean=0.0, stddev=0.0, seed=-1
    ):
        """
        Add a random_normal_static layer to the model that fills the output
        tensor with random values from normal distribution.
        Refer to the ``RandomNormaStaticLayerParams`` message in the specification
        (NeuralNetwork.proto) for more details.

        Parameters
        ----------
        name: str
            The name of this layer.
        output_name: str
            The output blob name of this layer.
        output_shape: list of int or tuple of int
            Target shape of the output tensor.
        mean: float, optional
            The mean of the normal distribution, default: 0.0.
        stddev: float, optional
            The standard deviation of the normal distribution, default: 1.0.
        seed: int, optional
            Used to create a random seed for the distribution. Default -1 (random).

        See Also
        --------
        add_random_normal_like, add_random_normal_dynamic
        """

        spec_layer = self._add_generic_layer(name, [], [output_name])
        spec_layer_params = spec_layer.randomNormalStatic

        spec_layer_params.outputShape.extend(output_shape)
        spec_layer_params.mean = mean
        spec_layer_params.stdDev = stddev
        spec_layer_params.seed = seed

        self.rank_dict[output_name] = len(output_shape)
        return spec_layer

        Add a random_normal_static layer to the model that fills the output
        tensor with random values from normal distribution.
        Refer to the ``RandomNormaStaticLayerParams`` message in the specification
        (NeuralNetwork.proto) for more details.

        Parameters
        ----------
        name: str
            The name of this layer.
        output_name: str
            The output blob name of this layer.
        output_shape: list of int or tuple of int
            Target shape of the output tensor.
        mean: float, optional
            The mean of the normal distribution, default: 0.0.
        stddev: float, optional
            The standard deviation of the normal distribution, default: 1.0.
        seed: int, optional
            Used to create a random seed for the distribution. Default -1 (random).

        See Also
        --------
        add_random_normal_like, add_random_normal_dynamic
        
coremltools/models/neural_network/builder.py