code: def _giou_update(
      preds: torch.Tensor,
      target: torch.Tensor,
      iou_threshold: Optional[float],
      replacement_val: float = 0,
  ) -> torch.Tensor:
      from torchvision.ops import generalized_box_iou
  
      iou = generalized_box_iou(preds, target)
      if iou_threshold is not None:
          iou[iou < iou_threshold] = replacement_val
      return iou
  
imports: from typing import Optional
  import torch
  from torchmetrics.utilities.imports import _TORCHVISION_GREATER_EQUAL_0_8
label_desc: Use image node_id 1 for calling a global function with example usage: _giou_update(preds, target, iou_threshold, replacement_val) and returns: iou