code: def center_to_corners_format(x):
      """
      Converts a PyTorch tensor of bounding boxes of center format (center_x, center_y, width, height) to corners format
      (x_0, y_0, x_1, y_1).
      """
      center_x, center_y, width, height = x.unbind(-1)
      b = [
          (center_x - 0.5 * width),
          (center_y - 0.5 * height),
          (center_x + 0.5 * width),
          (center_y + 0.5 * height),
      ]
      return torch.stack(b, dim=-1)
  
imports: import pathlib
  import warnings
  from typing import Dict, List, Optional, Set, Tuple, Union
  import numpy
  from PIL import Image
  from ...feature_extraction_utils import BatchFeature, FeatureExtractionMixin
  from ...image_utils import ImageFeatureExtractionMixin, is_torch_tensor
  from ...utils import TensorType, is_torch_available, logging
label_desc: Use image node_id 1 for calling a global function with example usage: center_to_corners_format(x) and returns: torch