code: def _get_inputs(
      sample_rate: int,
      device: torch.device,
      batch_size: int = 1,
      duration: int = 10,
      channels: int = 2,
  ):
      sample = torch.rand(
          batch_size,
          channels,
          duration * sample_rate,
          dtype=torch.float32,
          device=device,
      )
      return sample
  
imports: import itertools
  from typing import List
  import torch
  from parameterized import parameterized
  from torchaudio.models._hdemucs import _HDecLayer, _HEncLayer, HDemucs, hdemucs_high, hdemucs_low
  from torchaudio_unittest.common_utils import skipIfNoModule, TestBaseMixin, TorchaudioTestCase
label_desc: Use image node_id 2 for calling a global function with example usage: _get_inputs(sample_rate, device, batch_size, duration, channels) and returns: sample