code: def forward(self, x: Tensor) -> Tensor:
      return F.interpolate(
          x, scale_factor=2, mode="bilinear", align_corners=False
      )
  
imports: from __future__ import annotations
  from typing import Any
  import torch
  import torch.nn.functional
  from torch import nn
  from kornia.core import Module, Tensor
label_desc: Use image node_id 1 for calling the TrivialUpsample obj's underlying member method code with example usage: obj.forward(x) and returns: F