class_docstr: Generic homotopy class.
  
  This class is designed to be used in `optimize_acqf_homotopy`. Given a set of
  homotopy parameters and corresponding schedules we step through the homotopies
  until we have solved the final problem. We additionally support passing in a list
  of callbacks that will be executed each time `step`, `reset`, and `restart` are
  called.
docstr: Reset the homotopy parameter to their original values.
docstr_tok: ["Reset","the","homotopy","parameter","to","their","original","values","."]
code: def reset(self) -> None:
      """Reset the homotopy parameter to their original values."""
      for hp, val in zip(
          self._homotopy_parameters, self._original_values
      ):
          hp.parameter.data.fill_(val)
      self._execute_callbacks()
  
imports: from __future__ import annotations
  import math
  from abc import ABC, abstractmethod
  from dataclasses import dataclass
  from typing import Any, Callable, List, Optional, Union
  import torch
  from torch import Tensor
  from torch.nn import Parameter
label_desc: Use image node_id 5 for calling the Homotopy obj's underlying member method code with example usage: obj.reset() without return types