code: def _flip_coco_person_keypoints(kps, width):
      flip_inds = [
          0,
          2,
          1,
          4,
          3,
          6,
          5,
          8,
          7,
          10,
          9,
          12,
          11,
          14,
          13,
          16,
          15,
      ]
      flipped_data = kps[:, flip_inds]
      flipped_data[..., 0] = width - flipped_data[..., 0]
      # Maintain COCO convention that if visibility == 0, then x, y = 0
      inds = flipped_data[..., 2] == 0
      flipped_data[inds] = 0
      return flipped_data
  
imports: from typing import Dict, List, Optional, Tuple, Union
  import torch
  import torchvision
  from torch import nn, Tensor
  from torchvision import ops
  from torchvision.transforms import functional, InterpolationMode, transforms
label_desc: Use image node_id 1 for calling a global function with example usage: _flip_coco_person_keypoints(kps, width) and returns: flipped_data