code: def get_metric(self) -> dict:
      count2 = sum(self.all_gather_object(self.data))
      return {"count": self.count.item(), "count2": count2}
  
imports: import pytest
  from fastNLP import Metric, Evaluator
  from dataclasses import dataclass
  from typing import Any
  from itertools import product
  from fastNLP.core.controllers.trainer import Trainer
  from tests.helpers.models.torch_model import TorchNormalModel_Classification_1
  from tests.helpers.datasets.torch_data import TorchNormalDataset_Classification, TorchArgMaxDataset
  from tests.helpers.utils import magic_argv_env_context
  from fastNLP.envs.imports import _NEED_IMPORT_TORCH
  from fastNLP import Event
label_desc: Use image node_id 3 for calling the DistMetric obj's underlying member method code with example usage: obj.get_metric() and returns: dict