code: def forward(ctx, t):
      int8_data = t._data.to(torch.int8) - t._zeropoint.to(torch.int8)
      return QTensor(int8_data, t._scale)
  
imports: from dataclasses import dataclass
  from typing import Optional
  import torch
  from torch.autograd import Function
  from torch.utils import _pytree
label_desc: Use image node_id 1 for calling the QBitsToQTensor obj's underlying member method code with example usage: obj.forward(ctx, t) and returns: QTensor