class_docstr: Hugging Face Transformers PostEncoder.
class_docstr_tok: ["Hugging","Face","Transformers","PostEncoder","."]
docstr: Get the output size.
docstr_tok: ["Get","the","output","size","."]
code: def output_size(self) -> int:
      """Get the output size."""
      return self._output_size
  
file_path: espnet/espnet2/slu/postencoder/conformer_postencoder.py
imports: import logging
  from typing import Tuple
  import torch
  from typeguard import check_argument_types
  from espnet2.asr.postencoder.abs_postencoder import AbsPostEncoder
  from espnet.nets.pytorch_backend.conformer.convolution import ConvolutionModule
  from espnet.nets.pytorch_backend.conformer.encoder_layer import EncoderLayer
  from espnet.nets.pytorch_backend.nets_utils import get_activation, make_pad_mask
  from espnet.nets.pytorch_backend.transformer.attention import LegacyRelPositionMultiHeadedAttention, MultiHeadedAttention, RelPositionMultiHeadedAttention
  from espnet.nets.pytorch_backend.transformer.embedding import LegacyRelPositionalEncoding, PositionalEncoding, RelPositionalEncoding, ScaledPositionalEncoding
  from espnet.nets.pytorch_backend.transformer.layer_norm import LayerNorm
  from espnet.nets.pytorch_backend.transformer.multi_layer_conv import Conv1dLinear, MultiLayeredConv1d
  from espnet.nets.pytorch_backend.transformer.positionwise_feed_forward import PositionwiseFeedForward
  from espnet.nets.pytorch_backend.transformer.repeat import repeat
label_desc: Use image node_id 3 for calling the ConformerPostEncoder obj's underlying member method code with example usage: obj.output_size() and returns: self