code: def test_old_ignite_metric(
      self, input_param, input_data, expected_val
  ):
      loss_fn = DiceLoss(**input_param)
      ignite_metric = IgniteMetric(
          loss_fn=loss_fn,
          output_transform=from_engine(["pred", "label"]),
      )
  
      def _val_func(engine, batch):
          pass
  
      engine = Engine(_val_func)
      ignite_metric.attach(engine=engine, name="ignite_dice_loss")
      y_pred = input_data["input"]
      y = input_data["target"]
      engine.state.output = {"pred": y_pred, "label": y}
      engine.fire_event(Events.ITERATION_COMPLETED)
  
      engine.fire_event(Events.EPOCH_COMPLETED)
      assert_allclose(
          engine.state.metrics["ignite_dice_loss"],
          expected_val,
          atol=1e-4,
          rtol=1e-4,
          type_test=False,
      )
  
file_path: MONAI/tests/test_handler_ignite_metric.py
imports: from __future__ import annotations
  import unittest
  import torch
  from parameterized import parameterized
  from monai.handlers import IgniteMetric, IgniteMetricHandler, from_engine
  from monai.losses import DiceLoss
  from monai.metrics import LossMetric
  from tests.utils import SkipIfNoModule, assert_allclose, optional_import
label_desc: Use image node_id 4 for calling the TestHandlerIgniteMetricHandler obj's underlying member method code with example usage: obj.test_old_ignite_metric(input_param, input_data, expected_val) without return types