class_docstr: Class for Deep Marching Tetrahedra (DMTet).
  
  Attributes:
      device (torch.device): Device to place the tensors.
      triangle_table (Tensor): Lookup table for the triangles.
      num_triangles_table (Tensor): Table for the number of triangles.
      base_tet_edges (Tensor): The base edges for the tetrahedrons.
docstr: Create the table for number of triangles.
  
  Returns:
      Tensor: The number of triangles table.
docstr_tok: ["Create","the","table","for","number","of","triangles",".","Returns",":","Tensor",":","The","number","of","triangles","table","."]
code: def _create_num_triangles_table(self) -> torch.Tensor:
      """Create the table for number of triangles.
  
      Returns:
          Tensor: The number of triangles table.
      """
      return torch.tensor(
          [0, 1, 1, 2, 1, 2, 2, 1, 1, 2, 2, 1, 2, 1, 1, 0],
          dtype=torch.long,
          device=self.device,
      )
  
imports: import torch
label_desc: Use image node_id 3 for calling the DeepMarchingTetrahedra obj's underlying member method code with example usage: obj._create_num_triangles_table() and returns: torch