class_docstr: Enables computation matrix computation.
class_docstr_tok: ["Enables","computation","matrix","computation","."]
code: def _parse_transformation_matrix_mode(
      self, transformation_matrix_mode: str
  ) -> None:
      _valid_transformation_matrix_args = {
          "silence",
          "silent",
          "rigid",
          "skip",
      }
      if (
          transformation_matrix_mode
          not in _valid_transformation_matrix_args
      ):
          raise ValueError(
              f"`transformation_matrix` has to be one of {_valid_transformation_matrix_args}. "
              f"Got {transformation_matrix_mode}."
          )
      self._transformation_matrix_arg = transformation_matrix_mode
  
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 2 for calling the TransformMatrixMinIn obj's underlying member method code with example usage: obj._parse_transformation_matrix_mode(transformation_matrix_mode) without return types