code: def _load_ply(f, *, path_manager: PathManager) -> _PlyData:
      """
      Load the data from a .ply file.
  
      Args:
          f:  A binary or text file-like object (with methods read, readline,
              tell and seek), a pathlib path or a string containing a file name.
              If the ply file is in the binary ply format rather than the text
              ply format, then a text stream is not supported.
              It is easiest to use a binary stream in all cases.
          path_manager: PathManager for loading if f is a str.
  
      Returns:
          _PlyData object
      """
      header, elements = _load_ply_raw(f, path_manager=path_manager)
  
      verts_data = _get_verts(header, elements)
  
      face = elements.get("face", None)
      if face is not None:
          face_head = next(
              head for head in header.elements if head.name == "face"
          )
          if (
              len(face_head.properties) != 1
              or face_head.properties[0].list_size_type is None
          ):
              raise ValueError("Unexpected form of faces data.")
          # face_head.properties[0].name is usually "vertex_index" or "vertex_indices"
          # but we don't need to enforce this.
  
      if face is None:
          faces = None
      elif not len(face):
          # pyre is happier when this condition is not joined to the
          # previous one with `or`.
          faces = None
      elif (
          isinstance(face, np.ndarray) and face.ndim == 2
      ):  # Homogeneous elements
          if face.shape[1] < 3:
              raise ValueError("Faces must have at least 3 vertices.")
          face_arrays = [
              face[:, [0, i + 1, i + 2]]
              for i in range(face.shape[1] - 2)
          ]
          faces = torch.LongTensor(
              np.vstack(face_arrays).astype(np.int64)
          )
      else:
          face_list = []
          for (face_item,) in face:
              if face_item.ndim != 1:
                  raise ValueError("Bad face data.")
              if face_item.shape[0] < 3:
                  raise ValueError(
                      "Faces must have at least 3 vertices."
                  )
              for i in range(face_item.shape[0] - 2):
                  face_list.append(
                      [face_item[0], face_item[i + 1], face_item[i + 2]]
                  )
          faces = torch.tensor(face_list, dtype=torch.int64)
  
      if faces is not None:
          _check_faces_indices(
              faces, max_index=verts_data.verts.shape[0]
          )
  
      return _PlyData(**asdict(verts_data), faces=faces, header=header)
  
imports: import itertools
  import os
  import struct
  import sys
  import warnings
  from collections import namedtuple
  from dataclasses import asdict, dataclass
  from io import BytesIO, TextIOBase
  from typing import List, Optional, Tuple
  import numpy
  import torch
  from iopath.common.file_io import PathManager
  from pytorch3d.io.utils import _check_faces_indices, _make_tensor, _open_file, _read_image, PathOrStr
  from pytorch3d.renderer import TexturesUV, TexturesVertex
  from pytorch3d.structures import Meshes, Pointclouds
  from .pluggable_formats import endswith, MeshFormatInterpreter, PointcloudFormatInterpreter
label_desc: Use image node_id 15 for calling a global function with example usage: _load_ply(f) and returns: _PlyData