class_docstr: Enables computation matrix computation.
class_docstr_tok: ["Enables","computation","matrix","computation","."]
code: def transform_matrix(self) -> Optional[Tensor]:
      # In AugmentationSequential, the parent class is accessed first.
      # So that it was None in the beginning. We hereby use lazy computation here.
      if (
          self._transform_matrix is None
          and len(self._transform_matrices) != 0
      ):
          self._transform_matrix = self._transform_matrices[0]
          for mat in self._transform_matrices[1:]:
              self._update_transform_matrix(mat)
      return self._transform_matrix
  
imports: from collections import OrderedDict
  from itertools import zip_longest
  from typing import Any, Dict, Iterator, List, Optional, Tuple
  import torch
  from torch import nn
  import kornia.augmentation
  from kornia.augmentation.base import _AugmentationBase
  from kornia.core import Module, Tensor
  from kornia.geometry.boxes import Boxes
  from kornia.geometry.keypoints import Keypoints
  from .ops import BoxSequentialOps, InputSequentialOps, KeypointSequentialOps, MaskSequentialOps
  from .params import ParamItem
label_desc: Use image node_id 3 for calling the TransformMatrixMinIn obj's underlying member method code with example usage: obj.transform_matrix() and returns: self