code: def _upsample_like(src: Tensor, tgt: Tensor) -> Tensor:
      net = F.interpolate(src, size=tgt.shape[2:], mode="bilinear")
      return net
  
imports: import torch
  import numpy
  import torch.nn
  import torch.nn.functional
  from PIL import Image
  from torch import Tensor
  from cftool.cv import to_rgb
  from torchvision.transforms.functional import normalize
  from ....misc.toolkit import download_model
label_desc: Use image node_id 1 for calling a global function with example usage: _upsample_like(src, tgt) and returns: net