code: def __init__(self):
      super().__init__()
      self.optimized_param_id = None
  
file_path: avalanche/avalanche/training/templates/observation_type/batch_observation.py
imports: import warnings
  from collections import defaultdict
  from typing import List, TypeVar
  from torch import Tensor
  from avalanche.benchmarks import OnlineCLExperience
  from avalanche.models.utils import avalanche_model_adaptation
  from avalanche.training.templates.strategy_mixin_protocol import SGDStrategyProtocol
  from avalanche.models.dynamic_optimizers import reset_optimizer, update_optimizer
  from avalanche.training.utils import _at_task_boundary
label_desc: Use image node_id 1 to create a new BatchObservation object from inherited base classes: SGDStrategyProtocol with example: obj = BatchObservation()