code: def read_ascii_ply(filename):
      """Reads a PLY file encoded in ASCII format.
  
      NOTE: this util method is not intended to be comprehensive PLY reader
      and serves as part of demo application.
  
      Args:
        filename: path to a PLY file to read.
  
      Returns:
        numpy `[dim_1, 3]` array of vertices, `[dim_1, 3]` array of colors and
        `[dim_1, 3]` array of faces of the mesh.
      """
      with tf.io.gfile.GFile(filename) as ply_file:
          for line in ply_file:
              if line.startswith("end_header"):
                  break
              elif line.startswith("element vertex"):
                  vert_count = int(line.split()[-1])
              elif line.startswith("element face"):
                  face_count = int(line.split()[-1])
          # Read vertices and their colors.
          vertex_data = [
              _parse_vertex(next(ply_file)) for _ in range(vert_count)
          ]
          vertices = [datum[0] for datum in vertex_data]
          colors = [datum[1] for datum in vertex_data]
          # Read faces.
          faces = [
              _parse_face(next(ply_file)) for _ in range(face_count)
          ]
          return (
              np.array(vertices).astype(np.float32),
              np.array(colors).astype(np.uint8),
              np.array(faces).astype(np.int32),
          )
  
imports: import numpy
  import tensorflow
label_desc: Use image node_id 3 for calling a global function with example usage: read_ascii_ply(filename) and returns: np,  np,  np