code: def to_trimesh(data: "torch_geometric.data.Data") -> Any:
      r"""Converts a :class:`torch_geometric.data.Data` instance to a
      :obj:`trimesh.Trimesh`.
  
      Args:
          data (torch_geometric.data.Data): The data object.
  
      Example:
          >>> pos = torch.tensor([[0, 0, 0], [1, 0, 0], [0, 1, 0], [1, 1, 0]],
          ...                    dtype=torch.float)
          >>> face = torch.tensor([[0, 1, 2], [1, 2, 3]]).t()
  
          >>> data = Data(pos=pos, face=face)
          >>> to_trimesh(data)
          <trimesh.Trimesh(vertices.shape=(4, 3), faces.shape=(2, 3))>
      """
      import trimesh
  
      assert data.pos is not None
      assert data.face is not None
  
      return trimesh.Trimesh(
          vertices=data.pos.detach().cpu().numpy(),
          faces=data.face.detach().t().cpu().numpy(),
          process=False,
      )
  
file_path: pytorch_geometric/torch_geometric/utils/convert.py
imports: from collections import defaultdict
  from typing import Any, Dict, Iterable, List, Literal, Optional, Tuple, Union
  import scipy.sparse
  import torch
  from torch import Tensor
  from torch.utils.dlpack import from_dlpack, to_dlpack
  import torch_geometric
  from torch_geometric.utils.num_nodes import maybe_num_nodes
label_desc: Use image node_id 7 for calling a global function with example usage: to_trimesh(data) and returns: trimesh