code: def __init__(
      self, loss_fn, true_output, output_transform=lambda x: x
  ):
      super(DummyLoss1, self).__init__(
          loss_fn, output_transform=output_transform
      )
      print(true_output)
      self.true_output = true_output
  
imports: import os
  from unittest.mock import MagicMock
  import pytest
  import torch
  from numpy.testing import assert_almost_equal
  from torch import nn
  from torch.nn.functional import nll_loss
  import ignite.distributed
  from ignite.engine import State
  from ignite.exceptions import NotComputableError
  from ignite.metrics import Loss, Precision
label_desc: Use image node_id 1 to create a new DummyLoss1 object from inherited base classes: Loss with example: obj = DummyLoss1(loss_fn, true_output, output_transform)