code: def add_load_constant(self, name, output_name, constant_value, shape):
          
          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")
docs: 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