code: def forward(self, x: Tensor, out_shape: list[int]) -> Tensor:
      out = self.features(x)
      if out.shape[-2:] != out_shape:
          out = F.interpolate(out, out_shape, mode="bilinear")
      return out
  
imports: from __future__ import annotations
  from collections import OrderedDict
  from typing import Optional
  import torch
  import torch.nn.functional
  from torch import nn
  from kornia.core import Module, Tensor, concatenate
  from kornia.core.check import KORNIA_CHECK
  from kornia.utils import map_location_to_cpu
label_desc: Use image node_id 4 for calling the UpConvBlock obj's underlying member method code with example usage: obj.forward(x, out_shape) and returns: out