class_docstr: Test class for `ScaleInvariantSignalDistortionRatio` metric.
class_docstr_tok: ["Test","class","for","`","ScaleInvariantSignalDistortionRatio","`","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_sdr_differentiability(
      self, preds, target, ref_metric, zero_mean
  ):
      """Test the differentiability of the metric, according to its `is_differentiable` attribute."""
      self.run_differentiability_test(
          preds=preds,
          target=target,
          metric_module=ScaleInvariantSignalDistortionRatio,
          metric_functional=scale_invariant_signal_distortion_ratio,
          metric_args={"zero_mean": zero_mean},
      )
  
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 3 for calling the TestSISDR obj's underlying member method code with example usage: obj.test_si_sdr_differentiability(preds, target, ref_metric, zero_mean) without return types