code: def _clip_barycentric_coordinates(bary) -> torch.Tensor:
      """
      Args:
          bary: barycentric coordinates of shape (...., 3) where `...` represents
              an arbitrary number of dimensions
  
      Returns:
          bary: Barycentric coordinates clipped (i.e any values < 0 are set to 0)
          and renormalized. We only clip  the negative values. Values > 1 will fall
          into the [0, 1] range after renormalization.
          The output is the same shape as the input.
      """
      if bary.shape[-1] != 3:
          msg = (
              "Expected barycentric coords to have last dim = 3; got %r"
          )
          raise ValueError(msg % (bary.shape,))
      ndims = bary.ndim - 1
      mask = (
          bary.eq(-1)
          .all(dim=-1, keepdim=True)
          .expand(*((-1,) * ndims + (3,)))
      )
      clipped = bary.clamp(min=0.0)
      clipped[mask] = 0.0
      clipped_sum = torch.clamp(
          clipped.sum(dim=-1, keepdim=True), min=1e-5
      )
      clipped = clipped / clipped_sum
      clipped[mask] = -1.0
      return clipped
  
file_path: pytorch3d/pytorch3d/renderer/mesh/utils.py
imports: from typing import List, NamedTuple, Tuple
  import torch
  from pytorch3d.ops import interpolate_face_attributes
label_desc: Use image node_id 1 for calling a global function with example usage: _clip_barycentric_coordinates(bary) and returns: clipped