class_docstr: Test class for `SignalDistortionRatio` metric.
class_docstr_tok: ["Test","class","for","`","SignalDistortionRatio","`","metric","."]
docstr: Test class implementation of metric.
docstr_tok: ["Test","class","implementation","of","metric","."]
code: def test_sdr(self, preds, target, ref_metric, ddp):
      """Test class implementation of metric."""
      self.run_class_metric_test(
          ddp,
          preds,
          target,
          SignalDistortionRatio,
          reference_metric=partial(
              _average_metric, metric_func=ref_metric
          ),
          metric_args={},
      )
  
imports: from functools import partial
  from typing import Callable
  import numpy
  import pytest
  import torch
  from mir_eval.separation import bss_eval_sources
  from scipy.io import wavfile
  from torch import Tensor
  from torchmetrics.audio import SignalDistortionRatio
  from torchmetrics.functional import signal_distortion_ratio
  from torchmetrics.utilities.imports import _TORCH_GREATER_EQUAL_1_11
  from unittests import _Input
  from unittests.audio import _SAMPLE_AUDIO_SPEECH, _SAMPLE_AUDIO_SPEECH_BAB_DB, _SAMPLE_NUMPY_ISSUE_895
  from unittests.helpers import seed_all
  from unittests.helpers.testers import MetricTester
label_desc: Use image node_id 1 for calling the TestSDR obj's underlying member method code with example usage: obj.test_sdr(preds, target, ref_metric, ddp) without return types