code: def load_ply(
      f, *, path_manager: Optional[PathManager] = None
  ) -> Tuple[torch.Tensor, torch.Tensor]:
      """
      Load the verts and faces from a .ply file.
      Note that the preferred way to load data from such a file
      is to use the IO.load_mesh and IO.load_pointcloud functions,
      which can read more of the data.
  
      Example .ply file format::
  
          ply
          format ascii 1.0           { ascii/binary, format version number }
          comment made by Greg Turk  { comments keyword specified, like all lines }
          comment this file is a cube
          element vertex 8           { define "vertex" element, 8 of them in file }
          property float x           { vertex contains float "x" coordinate }
          property float y           { y coordinate is also a vertex property }
          property float z           { z coordinate, too }
          element face 6             { there are 6 "face" elements in the file }
          property list uchar int vertex_index { "vertex_indices" is a list of ints }
          end_header                 { delimits the end of the header }
          0 0 0                      { start of vertex list }
          0 0 1
          0 1 1
          0 1 0
          1 0 0
          1 0 1
          1 1 1
          1 1 0
          4 0 1 2 3                  { start of face list }
          4 7 6 5 4
          4 0 4 5 1
          4 1 5 6 2
          4 2 6 7 3
          4 3 7 4 0
  
      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:
          verts: FloatTensor of shape (V, 3).
          faces: LongTensor of vertex indices, shape (F, 3).
      """
  
      if path_manager is None:
          path_manager = PathManager()
      data = _load_ply(f, path_manager=path_manager)
      faces = data.faces
      if faces is None:
          faces = torch.zeros(0, 3, dtype=torch.int64)
  
      return data.verts, faces
  
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 16 for calling a global function with example usage: load_ply(f) and returns: data,  faces