Add an MVN (mean variance normalization) layer. Computes mean, variance and normalizes the input.

        Parameters
        ----------
        name: str
            The name of this layer.

        input_name: str
            The input blob name of this layer.
        output_name: str
            The output blob name of this layer.

        across_channels: boolean
            If False, each channel plane is normalized separately
            If True, mean/variance is computed across all C, H and W dimensions

        normalize_variance: boolean
            If False, only mean subtraction is performed.

        epsilon: float
            small bias to avoid division by zero.


        See Also
        --------
        add_l2_normalize, add_lrn

def add_mvn(self, name, input_name, output_name, across_channels = True, normalize_variance = True, epsilon = 1e-5):
        """
        Add an MVN (mean variance normalization) layer. Computes mean, variance and normalizes the input.

        Parameters
        ----------
        name: str
            The name of this layer.

        input_name: str
            The input blob name of this layer.
        output_name: str
            The output blob name of this layer.

        across_channels: boolean
            If False, each channel plane is normalized separately
            If True, mean/variance is computed across all C, H and W dimensions

        normalize_variance: boolean
            If False, only mean subtraction is performed.

        epsilon: float
            small bias to avoid division by zero.


        See Also
        --------
        add_l2_normalize, add_lrn
        """

        spec = self.spec
        nn_spec = self.nn_spec

        # Add a new layer
        spec_layer = nn_spec.layers.add()
        spec_layer.name = name
        spec_layer.input.append(input_name)
        spec_layer.output.append(output_name)

        spec_layer_params = spec_layer.mvn
        spec_layer_params.acrossChannels = across_channels
        spec_layer_params.normalizeVariance = normalize_variance
        spec_layer_params.epsilon = epsilon