code: def get_fixed_embedding(self, ind, dev):
      return self.emb(torch.arange(0, ind, device=dev))[ind - 1 : ind]
  
imports: import functools
  import torch
  import torch.nn
  import torch.nn.functional
  from transformers import GPT2Config, GPT2PreTrainedModel, LogitsProcessorList
  from transformers.modeling_outputs import CausalLMOutputWithCrossAttentions
  from TTS.tts.layers.tortoise.arch_utils import AttentionBlock, TypicalLogitsWarper
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