code: def get_wrapper_properties(cls, diag, requires_grad=False):
      assert diag.ndim == 1
      return diag, {
          "size": diag.size() + diag.size(),
          "requires_grad": requires_grad,
      }
  
imports: import torch
  from copy import deepcopy
  from torch.utils._pytree import tree_map
  from torch.testing._internal.logging_tensor import LoggingTensor
label_desc: Use image node_id 1 for calling the DiagTensorBelow obj's underlying member method code with example usage: obj.get_wrapper_properties(cls, diag, requires_grad) and returns: diag,  dict