class_docstr: Module mix-in for the parametric function classes.
      
docstr: Load parameters from a file with the specified format.
  
  Args:
      path : path or file object
code: def load_parameters(self, path):
      """Load parameters from a file with the specified format.
  
      Args:
          path : path or file object
      """
      nn.load_parameters(path)
      for v in self.get_modules():
          if not isinstance(v, tuple):
              continue
          prefix, module = v
          for k, v in module.__dict__.items():
              if not isinstance(v, nn.Variable):
                  continue
              pname = k
              name = "{}/{}".format(prefix, pname)
              # Substitute
              param0 = v
              param1 = nn.parameter.pop_parameter(name)
              if param0 is None:
                  raise ValueError(
                      "Model does not have {} parameter.".format(name)
                  )
              param0.d = param1.d.copy()
              nn.logger.info("`{}` loaded.)".format(name))
  
file_path: nnabla/python/src/nnabla/experimental/parametric_function_class/module.py
imports: from collections import OrderedDict
  import nnabla
label_desc: Use image node_id 5 for calling the Module obj's underlying member method code with example usage: obj.load_parameters(path) without return types