code: def create_backwards_push(self, name):
      class PushState(torch.autograd.Function):
          @staticmethod
          def forward(ctx, *args):
              args = tree_map(
                  lambda x: x.clone()
                  if isinstance(x, torch.Tensor)
                  else x,
                  args,
              )
              if len(args) == 1:
                  return args[0]
              return args
  
          @staticmethod
          def backward(ctx, *grad_outs):
              self.parents.append(name)
              return grad_outs
  
      return PushState.apply
  
imports: import os
  from collections import defaultdict
  from numbers import Number
  from typing import Any, List
  import torch
  from torch.utils._python_dispatch import TorchDispatchMode
  from torch.utils._pytree import tree_map
  from torchvision.models._api import Weights
label_desc: Use image node_id 4 for calling the FlopCounterMode obj's underlying member method code with example usage: obj.create_backwards_push(name) and returns: PushState, args, grad_outs, args