class_docstr: Test class for `ScaleInvariantSignalDistortionRatio` metric.
class_docstr_tok: ["Test","class","for","`","ScaleInvariantSignalDistortionRatio","`","metric","."]
docstr: Test dtype support of the metric on CPU.
docstr_tok: ["Test","dtype","support","of","the","metric","on","CPU","."]
code: def test_si_sdr_half_cpu(self, preds, target, ref_metric, zero_mean):
      """Test dtype support of the metric on CPU."""
      pytest.xfail(
          "SI-SDR metric does not support cpu + half precision"
      )
  
file_path: torchmetrics/tests/unittests/audio/test_si_sdr.py
imports: from functools import partial
  import pytest
  import speechmetrics
  import torch
  from torch import Tensor
  from torchmetrics.audio import ScaleInvariantSignalDistortionRatio
  from torchmetrics.functional.audio import scale_invariant_signal_distortion_ratio
  from unittests import BATCH_SIZE, NUM_BATCHES, _Input
  from unittests.helpers import seed_all
  from unittests.helpers.testers import MetricTester
label_desc: Use image node_id 4 for calling the TestSISDR obj's underlying member method code with example usage: obj.test_si_sdr_half_cpu(preds, target, ref_metric, zero_mean) without return types