Add a load constant layer.

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

        output_name: str
            The output blob name of this layer.

        constant_value: numpy.array
            value of the constant as a numpy array.

        shape: [int]
            List of ints representing the shape of the constant. Must be of length 3: [C,H,W]


        See Also
        --------
        add_elementwise

def add_load_constant(self, name, output_name, constant_value, shape):
        """
        Add a load constant layer.

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

        output_name: str
            The output blob name of this layer.

        constant_value: numpy.array
            value of the constant as a numpy array.

        shape: [int]
            List of ints representing the shape of the constant. Must be of length 3: [C,H,W]


        See Also
        --------
        add_elementwise
        """
        spec = self.spec
        nn_spec = self.nn_spec

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

        spec_layer_params = spec_layer.loadConstant

        data = spec_layer_params.data
        data.floatValue.extend(map(float, constant_value.flatten()))

        spec_layer_params.shape.extend(shape)

        if len(data.floatValue) != np.prod(shape):
            raise ValueError("Dimensions of 'shape' do not match the size of the provided constant")
        if len(shape) != 3:
            raise ValueError("'shape' must be of length 3")