code: def _gen_inputs(self, input_dim, batch_size, num_frames):
      lengths = torch.randint(1, num_frames, (batch_size,)).to(
          device=self.device, dtype=self.dtype
      )
      input = torch.rand(batch_size, int(lengths.max()), input_dim).to(
          device=self.device, dtype=self.dtype
      )
      return input, lengths
  
file_path: audio/test/torchaudio_unittest/models/conformer/conformer_test_impl.py
imports: import torch
  from torchaudio.models import Conformer
  from torchaudio_unittest.common_utils import TestBaseMixin, torch_script
label_desc: Use image node_id 2 for calling the ConformerTestImpl obj's underlying member method code with example usage: obj._gen_inputs(input_dim, batch_size, num_frames) and returns: input,  lengths