code: def box_area(boxes: NdarrayOrTensor) -> NdarrayOrTensor:
      """
      This function computes the area (2D) or volume (3D) of each box.
      Half precision is not recommended for this function as it may cause overflow, especially for 3D images.
  
      Args:
          boxes: bounding boxes, Nx4 or Nx6 torch tensor or ndarray. The box mode is assumed to be ``StandardMode``
  
      Returns:
          area (2D) or volume (3D) of boxes, with size of (N,).
  
      Example:
          .. code-block:: python
  
              boxes = torch.ones(10,6)
              # we do computation with torch.float32 to avoid overflow
              compute_dtype = torch.float32
              area = box_area(boxes=boxes.to(dtype=compute_dtype))  # torch.float32, size of (10,)
      """
  
      if not is_valid_box_values(boxes):
          raise ValueError(
              "Given boxes has invalid values. The box size must be non-negative."
          )
  
      spatial_dims = get_spatial_dims(boxes=boxes)
  
      area = boxes[:, spatial_dims] - boxes[:, 0] + TO_REMOVE
      for axis in range(1, spatial_dims):
          area = area * (
              boxes[:, axis + spatial_dims] - boxes[:, axis] + TO_REMOVE
          )
  
      # convert numpy to tensor if needed
      area_t, *_ = convert_data_type(area, torch.Tensor)
  
      # check if NaN or Inf, especially for half precision
      if area_t.isnan().any() or area_t.isinf().any():
          if area_t.dtype is torch.float16:
              raise ValueError(
                  "Box area is NaN or Inf. boxes is float16. Please change to float32 and test it again."
              )
          else:
              raise ValueError("Box area is NaN or Inf.")
  
      return area
  
imports: from __future__ import annotations
  import inspect
  import warnings
  from abc import ABC, abstractmethod
  from collections.abc import Callable, Sequence
  from copy import deepcopy
  import numpy
  import torch
  from monai.config.type_definitions import NdarrayOrTensor, NdarrayTensor
  from monai.utils import look_up_option
  from monai.utils.enums import BoxModeName
  from monai.utils.type_conversion import convert_data_type, convert_to_dst_type
label_desc: Use image node_id 10 for calling a global function with example usage: box_area(boxes) and returns: area