code: def get_fixed_embedding(self, ind, dev):
      return self.emb(torch.tensor([ind], device=dev)).unsqueeze(0)
  
imports: import functools
  import math
  import random
  import torch
  import torch.nn
  import torch.nn.functional
  from transformers import GPT2Config
  from TTS.tts.layers.xtts.gpt_inference import GPT2InferenceModel
  from TTS.tts.layers.xtts.latent_encoder import ConditioningEncoder
  from TTS.tts.layers.xtts.perceiver_encoder import PerceiverResampler
label_desc: Use image node_id 3 for calling the LearnedPositionEmbeddings obj's underlying member method code with example usage: obj.get_fixed_embedding(ind, dev) and returns: self