code: def inference(self, cond_latents, text_inputs, **hf_generate_kwargs):
      self.compute_embeddings(cond_latents, text_inputs)
      return self.generate(
          cond_latents, text_inputs, **hf_generate_kwargs
      )
  
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 11 for calling the GPT obj's underlying member method code with example usage: obj.inference(cond_latents, text_inputs) and returns: self