code: def apply(module, name, n_power_iterations, dim, eps):
      for k, hook in module._forward_pre_hooks.items():
          if isinstance(hook, SpectralNorm) and hook.name == name:
              raise RuntimeError(
                  "Cannot register two spectral_norm hooks on "
                  "the same parameter {}".format(name)
              )
  
      fn = SpectralNorm(name, n_power_iterations, dim, eps)
      weight = module._parameters[name]
  
      with paddle.no_grad():
          weight_mat = fn.reshape_weight_to_matrix(weight)
          h, w = weight_mat.shape
  
          # randomly initialize u and v
          u = module.create_parameter([h])
          u = normal_(u, 0.0, 1.0)
          v = module.create_parameter([w])
          v = normal_(v, 0.0, 1.0)
          u = F.normalize(u, axis=0, epsilon=fn.eps)
          v = F.normalize(v, axis=0, epsilon=fn.eps)
  
      # delete fn.name form parameters, otherwise you can not set attribute
      del module._parameters[fn.name]
      module.add_parameter(fn.name + "_orig", weight)
      # still need to assign weight back as fn.name because all sorts of
      # things may assume that it exists, e.g., when initializing weights.
      # However, we can't directly assign as it could be an Parameter and
      # gets added as a parameter. Instead, we register weight * 1.0 as a plain
      # attribute.
      setattr(module, fn.name, weight * 1.0)
      module.register_buffer(fn.name + "_u", u)
      module.register_buffer(fn.name + "_v", v)
  
      module.register_forward_pre_hook(fn)
      return fn
  
file_path: PaddleOCR/StyleText/arch/spectral_norm.py
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
label_desc: Use image node_id 6 for calling the SpectralNorm obj's underlying member method code with example usage: obj.apply(module, name, n_power_iterations, dim, eps) and returns: fn