class_docstr: Transformer-based Speech Encoder from OpenAI's Whisper Model:
  
  URL: https://github.com/openai/whisper
class_docstr_tok: ["Transformer-based","Speech","Encoder","from","OpenAI","'s","Whisper","Model",":","URL",":","https",":","\/\/github.com\/openai\/whisper"]
code: def output_size(self) -> int:
      return self.encoders.ln_post.normalized_shape[-1]
  
file_path: espnet/espnet2/asr/encoder/whisper_encoder.py
imports: import copy
  from typing import Optional, Tuple, Union
  import torch
  import torch.nn.functional
  from typeguard import check_argument_types
  from espnet2.asr.encoder.abs_encoder import AbsEncoder
  from espnet2.asr.specaug.specaug import SpecAug
label_desc: Use image node_id 2 for calling the OpenAIWhisperEncoder obj's underlying member method code with example usage: obj.output_size() and returns: self