class_docstr: [`FlaxSpeechEncoderDecoderModel`] is a generic model class that will be instantiated as a transformer architecture
  with the module (flax.nn.Module) of one of the base model classes of the library as encoder module and another one
  as decoder module when created with the :meth*~transformers.FlaxAutoModel.from_pretrained* class method for the
  encoder and :meth*~transformers.FlaxAutoModelForCausalLM.from_pretrained* class method for the decoder.
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code: def _get_feat_extract_output_lengths(
      self,
      input_lengths: Union[jnp.ndarray, int],
      add_adapter: Optional[bool] = None,
  ):
      return self.module._get_feat_extract_output_lengths(
          input_lengths, add_adapter=add_adapter
      )
  
imports: import os
  from typing import Optional, Tuple, Union
  import flax.linen
  import jax
  import jax.numpy
  from flax.core.frozen_dict import FrozenDict, freeze, unfreeze
  from flax.traverse_util import flatten_dict, unflatten_dict
  from jax import lax
  from jax.random import PRNGKey
  from ...modeling_flax_outputs import FlaxBaseModelOutput, FlaxCausalLMOutputWithCrossAttentions, FlaxSeq2SeqLMOutput
  from ...modeling_flax_utils import FlaxPreTrainedModel
  from ...utils import add_start_docstrings, add_start_docstrings_to_model_forward, logging, replace_return_docstrings
  from ..auto.configuration_auto import AutoConfig
  from ..auto.modeling_flax_auto import FlaxAutoModel, FlaxAutoModelForCausalLM
  from .configuration_speech_encoder_decoder import SpeechEncoderDecoderConfig
label_desc: Use image node_id 4 for calling the FlaxSpeechEncoderDecoderModel obj's underlying member method code with example usage: obj._get_feat_extract_output_lengths(input_lengths, add_adapter) and returns: self