code: def default(self, o: Any) -> Any:
      if isinstance(o, Tensor):
          o = o.detach().cpu().tolist()
  
      return o
  
imports: import os
  from pathlib import Path
  import torch
  import json
  from typing import Any, Generic, List, Union, TypeVar, Tuple, Dict, TYPE_CHECKING, Type, Callable, Sequence, Optional
  from avalanche.benchmarks.utils.data import AvalancheDataset
  from torch import Tensor
  from json import JSONEncoder
  from torch.utils.data import Subset, ConcatDataset
  from typing_extensions import Protocol
  from avalanche.evaluation import PluginMetric
  from avalanche.evaluation.metric_results import MetricValue
  from avalanche.evaluation.metric_utils import get_metric_name
label_desc: Use image node_id 2 for calling the TensorEncoder obj's underlying member method code with example usage: obj.default(o) and returns: o