code: def __init__(self, reset_at, emit_at, mode):
      self._loss = LossMetric()
      super(LossPluginMetric, self).__init__(
          self._loss, reset_at, emit_at, mode
      )
  
imports: from typing import List, Dict
  import torch
  from torch import Tensor
  from avalanche.evaluation import PluginMetric, Metric, GenericPluginMetric
  from avalanche.evaluation.metrics.mean import Mean
  from avalanche.evaluation.metric_utils import phase_and_task
  from collections import defaultdict
label_desc: Use image node_id 1 to create a new LossPluginMetric object from inherited base classes: GenericPluginMetric with example: obj = LossPluginMetric(reset_at, emit_at, mode)