code: def _create_inputs(self, config, batch_size=2):
      input_dummy = torch.rand(
          batch_size, 30 * config.audio["hop_length"]
      ).to(device)
      input_lengths = (
          torch.randint(
              100, 30 * config.audio["hop_length"], (batch_size,)
          )
          .long()
          .to(device)
      )
      input_lengths[-1] = 30 * config.audio["hop_length"]
      spec = torch.rand(
          batch_size, 30, config.audio["filter_length"] // 2 + 1
      ).to(device)
      mel = torch.rand(
          batch_size, 30, config.audio["n_mel_channels"]
      ).to(device)
      spec_lengths = (
          torch.randint(20, 30, (batch_size,)).long().to(device)
      )
      spec_lengths[-1] = spec.size(2)
      waveform = torch.rand(
          batch_size, spec.size(2) * config.audio["hop_length"]
      ).to(device)
      return (
          input_dummy,
          input_lengths,
          mel,
          spec,
          spec_lengths,
          waveform,
      )
  
imports: import os
  import unittest
  import torch
  from tests import get_tests_input_path
  from TTS.vc.configs.freevc_config import FreeVCConfig
  from TTS.vc.models.freevc import FreeVC
label_desc: Use image node_id 1 for calling the TestFreeVC obj's underlying member method code with example usage: obj._create_inputs(config, batch_size) and returns: input_dummy,  input_lengths,  mel,  spec,  spec_lengths,  waveform