class_docstr: Test class for `ScaleInvariantSignalNoiseRatio` metric.
class_docstr_tok: ["Test","class","for","`","ScaleInvariantSignalNoiseRatio","`","metric","."]
docstr: Test the differentiability of the metric, according to its `is_differentiable` attribute.
docstr_tok: ["Test","the","differentiability","of","the","metric",",","according","to","its","`","is_differentiable","`","attribute","."]
code: def test_si_snr_differentiability(self, preds, target, ref_metric):
      """Test the differentiability of the metric, according to its `is_differentiable` attribute."""
      self.run_differentiability_test(
          preds=preds,
          target=target,
          metric_module=ScaleInvariantSignalNoiseRatio,
          metric_functional=scale_invariant_signal_noise_ratio,
      )
  
file_path: torchmetrics/tests/unittests/audio/test_si_snr.py
imports: from functools import partial
  import pytest
  import speechmetrics
  import torch
  from torch import Tensor
  from torchmetrics.audio import ScaleInvariantSignalNoiseRatio
  from torchmetrics.functional.audio import scale_invariant_signal_noise_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 3 for calling the TestSISNR obj's underlying member method code with example usage: obj.test_si_snr_differentiability(preds, target, ref_metric) without return types