class_docstr: TTS Interface for ESPnet model implementation.
class_docstr_tok: ["TTS","Interface","for","ESPnet","model","implementation","."]
docstr: Generate the sequence of features given the sequences of characters.
  
  Returns:
      Tensor: The sequence of generated features (L, odim).
      Tensor: The sequence of stop probabilities (L,).
      Tensor: The sequence of attention weights (L, T).
docstr_tok: ["Generate","the","sequence","of","features","given","the","sequences","of","characters",".","Returns",":","Tensor",":","The","sequence","of","generated","features","(","L",",","odim",")",".","Tensor",":","The","sequence","of","stop","probabilities","(","L",",",")",".","Tensor",":","The","sequence","of","attention","weights","(","L",",","T",")","."]
code: def inference(self, *args, **kwargs):
      """Generate the sequence of features given the sequences of characters.
  
      Returns:
          Tensor: The sequence of generated features (L, odim).
          Tensor: The sequence of stop probabilities (L,).
          Tensor: The sequence of attention weights (L, T).
  
      """
      raise NotImplementedError("inference method is not implemented")
  
file_path: espnet/espnet/nets/tts_interface.py
imports: from espnet.asr.asr_utils import torch_load
label_desc: Use image node_id 4 for calling the TTSInterface obj's underlying member method code with example usage: obj.inference() without return types