class_docstr: This class is a manager of all random seeds involved in the system.
  
  Note:
      The parallel_mode should be concluded in ``ParallelMode``. More details about ``ParallelMode`` could be found
      in `parallel_mode <https://github.com/hpcaitech/ColossalAI/blob/main/colossalai/context/parallel_mode.py>`_.
code: def reset(self):
      self._current_mode = None
      self._seeds = dict()
      self._seed_states = dict()
  
file_path: ColossalAI/colossalai/legacy/context/random/seed_manager.py
imports: import torch
  from torch import Tensor
  from colossalai.legacy.context.parallel_mode import ParallelMode
label_desc: Use image node_id 8 for calling the SeedManager obj's underlying member method code with example usage: obj.reset() without return types