class_docstr: Test class for `ComplexScaleInvariantSignalNoiseRatio` metric.
class_docstr_tok: ["Test","class","for","`","ComplexScaleInvariantSignalNoiseRatio","`","metric","."]
docstr: Test dtype support of the metric on GPU.
docstr_tok: ["Test","dtype","support","of","the","metric","on","GPU","."]
code: def test_c_si_sdr_half_gpu(
      self, preds, target, ref_metric, zero_mean
  ):
      """Test dtype support of the metric on GPU."""
      pytest.xfail(
          "C-SI-SDR metric does not support gpu + half precision"
      )
  
file_path: torchmetrics/tests/unittests/audio/test_c_si_snr.py
imports: import pytest
  import torch
  from scipy.io import wavfile
  from torchmetrics.audio import ComplexScaleInvariantSignalNoiseRatio
  from torchmetrics.functional.audio import complex_scale_invariant_signal_noise_ratio
  from unittests import BATCH_SIZE, NUM_BATCHES, _Input
  from unittests.audio import _SAMPLE_AUDIO_SPEECH, _SAMPLE_AUDIO_SPEECH_BAB_DB
  from unittests.helpers import seed_all
  from unittests.helpers.testers import MetricTester
label_desc: Use image node_id 3 for calling the TestComplexSISNR obj's underlying member method code with example usage: obj.test_c_si_sdr_half_gpu(preds, target, ref_metric, zero_mean) without return types