docstr: Applying the same filter returns the original waveform
docstr_tok: ["Applying","the","same","filter","returns","the","original","waveform"]
code: def test_filter_waveform_same(self, kernel_size=5):
      """Applying the same filter returns the original waveform"""
      waveform = torch.arange(
          -10, 10, dtype=self.dtype, device=self.device
      )
      kernel = torch.randn(
          (1, kernel_size), dtype=self.dtype, device=self.device
      )
      kernels = torch.cat([kernel] * 3)
  
      out1 = F.filter_waveform(waveform, kernel)
      out2 = F.filter_waveform(waveform, kernels)
      self.assertEqual(out1, out2)
  
imports: import torch
  import torchaudio.prototype.functional
  from parameterized import param, parameterized
  from torchaudio_unittest.common_utils import nested_params, TestBaseMixin
  from .dsp_utils import exp_sigmoid, freq_ir, oscillator_bank, sinc_ir
label_desc: Use image node_id 12 for calling the FunctionalTestImpl obj's underlying member method code with example usage: obj.test_filter_waveform_same(kernel_size) without return types