code: def _upsample(
      in_tens: Tensor, out_hw: Tuple[int, ...] = (64, 64)
  ) -> Tensor:
      """Upsample input with bilinear interpolation."""
      return nn.Upsample(
          size=out_hw, mode="bilinear", align_corners=False
      )(in_tens)
  
imports: import inspect
  import os
  from typing import List, NamedTuple, Optional, Tuple, Union
  import torch
  from torch import Tensor, nn
  from typing_extensions import Literal
  from torchmetrics.utilities.imports import _TORCHVISION_AVAILABLE, _TORCHVISION_GREATER_EQUAL_0_13
label_desc: Use image node_id 3 for calling a global function with example usage: _upsample(in_tens, out_hw) and returns: nn