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: Initialize DMTet instance with the given device.
  
  Args:
      device (torch.device): The device to place the tensors on.
docstr_tok: ["Initialize","DMTet","instance","with","the","given","device",".","Args",":","device","(","torch.device",")",":","The","device","to","place","the","tensors","on","."]
code: def __init__(self, device: torch.device) -> None:
      """Initialize DMTet instance with the given device.
  
      Args:
          device (torch.device): The device to place the tensors on.
      """
      self.device = device
      self.triangle_table = self._create_triangle_table()
      self.num_triangles_table = self._create_num_triangles_table()
      self.base_tet_edges = self._create_base_tet_edges()
  
imports: import torch
label_desc: Use image node_id 1 to create a new DeepMarchingTetrahedra object  with example: obj = DeepMarchingTetrahedra(device)