code: def test_d_lambda_different_sizes():
      """Since d lambda is reference free, it can accept different number of targets and preds."""
      preds = torch.rand(1, 1, 32, 32)
      target = torch.rand(1, 1, 16, 16)
      out = spectral_distortion_index(preds, target, p=1)
      assert isinstance(out, torch.Tensor)
  
imports: from functools import partial
  from typing import NamedTuple
  import numpy
  import pytest
  import torch
  from torch import Tensor
  from torchmetrics.functional.image.d_lambda import spectral_distortion_index
  from torchmetrics.functional.image.uqi import universal_image_quality_index
  from torchmetrics.image.d_lambda import SpectralDistortionIndex
  from unittests import BATCH_SIZE, NUM_BATCHES
  from unittests.helpers import seed_all
  from unittests.helpers.testers import MetricTester
label_desc: Use image node_id 5 for calling a global function with example usage: test_d_lambda_different_sizes() without return types