code: def _finish_deferred_init(self):
          
          if not self._deferred_init:
              return
          init, ctx, default_init, data = self._deferred_init
          self._deferred_init = ()
          assert self.shape is not None and np.prod(self.shape) > 0, \
              "Cannot initialize Parameter '%s' because it has " \
              "invalid shape: %s. Please specify in_units, " \
              "in_channels, etc for `Block`s."%(
                  self.name, str(self.shape))
  
          with autograd.pause():
              if data is None:
                  data = ndarray.zeros(shape=self.shape, dtype=self.dtype,
                                       ctx=context.cpu(), stype=self._stype)
                  initializer.create(default_init)(
                      initializer.InitDesc(self.name, {'__init__': init}), data)
  
              self._init_impl(data, ctx)
docs: Finishes deferred initialization.