code: def _expand_encoder_with_durations(
      self,
      o_en: torch.FloatTensor,
      dr: torch.IntTensor,
      x_mask: torch.IntTensor,
      y_lengths: torch.IntTensor,
  ):
      y_mask = torch.unsqueeze(sequence_mask(y_lengths, None), 1).to(
          o_en.dtype
      )
      attn = self.generate_attn(dr, x_mask, y_mask)
      o_en_ex = torch.einsum("kmn, kjm -> kjn", [attn.float(), o_en])
      return y_mask, o_en_ex, attn.transpose(1, 2)
  
imports: from typing import Callable, Dict, Tuple
  import torch
  import torch.nn.functional
  from coqpit import Coqpit
  from torch import nn
  from TTS.tts.layers.delightful_tts.conformer import Conformer
  from TTS.tts.layers.delightful_tts.encoders import PhonemeLevelProsodyEncoder, UtteranceLevelProsodyEncoder, get_mask_from_lengths
  from TTS.tts.layers.delightful_tts.energy_adaptor import EnergyAdaptor
  from TTS.tts.layers.delightful_tts.networks import EmbeddingPadded, positional_encoding
  from TTS.tts.layers.delightful_tts.phoneme_prosody_predictor import PhonemeProsodyPredictor
  from TTS.tts.layers.delightful_tts.pitch_adaptor import PitchAdaptor
  from TTS.tts.layers.delightful_tts.variance_predictor import VariancePredictor
  from TTS.tts.layers.generic.aligner import AlignmentNetwork
  from TTS.tts.utils.helpers import generate_path, maximum_path, sequence_mask
label_desc: Use image node_id 9 for calling the AcousticModel obj's underlying member method code with example usage: obj._expand_encoder_with_durations(o_en, dr, x_mask, y_lengths) and returns: y_mask,  o_en_ex,  attn