class_docstr: Conformer Encoder for speech translation based on https://arxiv.org/abs/2005.08100
code: def set_num_updates(self, num_updates):
      super().set_num_updates(num_updates)
      self.num_updates = num_updates
  
imports: import logging
  import math
  from pathlib import Path
  import torch
  from fairseq import checkpoint_utils
  from fairseq.data.data_utils import lengths_to_padding_mask
  from fairseq.models import FairseqEncoder, register_model, register_model_architecture
  from fairseq.models.speech_to_text.modules.convolution import Conv1dSubsampler, Conv2dSubsampler
  from fairseq.models.speech_to_text.s2t_transformer import S2TTransformerEncoder, S2TTransformerModel
  from fairseq.models.speech_to_text.s2t_transformer import base_architecture
  from fairseq.modules import PositionalEmbedding, RelPositionalEncoding
  from fairseq.modules.conformer_layer import ConformerEncoderLayer
label_desc: Use image node_id 5 for calling the S2TConformerEncoder obj's underlying member method code with example usage: obj.set_num_updates(num_updates) without return types