class_docstr: Speech Representation Using Encoder Outputs from OpenAI's Whisper Model:
  
  URL: https://github.com/openai/whisper
class_docstr_tok: ["Speech","Representation","Using","Encoder","Outputs","from","OpenAI","'s","Whisper","Model",":","URL",":","https",":","\/\/github.com\/openai\/whisper"]
code: def output_size(self) -> int:
      return self.whisper.encoder.ln_post.normalized_shape[-1]
  
file_path: espnet/espnet2/asr/frontend/whisper.py
imports: import contextlib
  from typing import Tuple
  import torch
  import torch.nn.functional
  from typeguard import check_argument_types
  from espnet2.asr.frontend.abs_frontend import AbsFrontend
label_desc: Use image node_id 2 for calling the WhisperFrontend obj's underlying member method code with example usage: obj.output_size() and returns: self