code: def _create_parameter(
      self, begin_index: int, name: str, t: torch.Tensor
  ) -> Parameter:
      p = Parameter(t, requires_grad=False)
      setattr(
          self, "_auto_parameter_" + str(begin_index) + "_" + name, p
      )
      return p
  
imports: import logging
  from typing import cast, Dict, List, Optional, Tuple
  import torch
  from reagent.core.parameters import NormalizationParameters
  from reagent.preprocessing.identify_types import DO_NOT_PREPROCESS, ENUM, FEATURE_TYPES
  from reagent.preprocessing.normalization import EPS, MAX_FEATURE_VALUE, MIN_FEATURE_VALUE
  from torch.nn import Module, Parameter
label_desc: Use image node_id 28 for calling the Preprocessor obj's underlying member method code with example usage: obj._create_parameter(begin_index, name, t) and returns: p