code: def _get_embedded_input():
      (
          input_dummy,
          input_lengths,
          mel_spec,
          mel_lengths,
      ) = _create_inputs()
      input_dummy = torch.nn.Embedding(
          config_global.num_chars, config_global.encoder_in_out_features
      ).to(device)(input_dummy)
      one_timestep_frame = torch.randn(
          input_dummy.shape[0], config_global.memory_rnn_dim
      ).to(device)
      return input_dummy, one_timestep_frame
  
imports: import os
  import random
  import unittest
  from copy import deepcopy
  import torch
  from tests import get_tests_output_path
  from TTS.tts.configs.overflow_config import OverflowConfig
  from TTS.tts.layers.overflow.common_layers import Encoder, Outputnet, OverflowUtils
  from TTS.tts.layers.overflow.decoder import Decoder
  from TTS.tts.layers.overflow.neural_hmm import EmissionModel, NeuralHMM, TransitionModel
  from TTS.tts.models.overflow import Overflow
  from TTS.tts.utils.helpers import sequence_mask
  from TTS.utils.audio import AudioProcessor
label_desc: Use image node_id 2 for calling the TestOverflowOutputNet obj's underlying member method code with example usage: obj._get_embedded_input() and returns: input_dummy,  one_timestep_frame