code: def __call__(
      self,
      inputs,
      attention_mask,
      decoder_input_ids,
      decoder_attention_mask,
      decoder_position_ids,
      encoder_outputs=None,
      output_attentions: bool = False,
      output_hidden_states: bool = False,
      return_dict: bool = True,
      deterministic: bool = True,
      freeze_feature_encoder: bool = False,
  ):
      if encoder_outputs is None:
          encoder_outputs = self.encoder(
              inputs,
              attention_mask=attention_mask,
              output_attentions=output_attentions,
              output_hidden_states=output_hidden_states,
              return_dict=return_dict,
              deterministic=deterministic,
              freeze_feature_encoder=freeze_feature_encoder,
          )
  
      encoder_hidden_states = encoder_outputs[0]
  
      # optionally project encoder_hidden_states
      if self.enc_to_dec_proj is not None:
          encoder_hidden_states = self.enc_to_dec_proj(
              encoder_hidden_states
          )
  
      # compute correct encoder attention mask
      if attention_mask is not None:
          encoder_attention_mask = (
              self.encoder._get_feature_vector_attention_mask(
                  encoder_hidden_states.shape[1], attention_mask
              )
          )
      else:
          encoder_attention_mask = None
  
      # flax script modeling_flax_wav2vec2.py
      decoder_outputs = self.decoder(
          input_ids=decoder_input_ids,
          attention_mask=decoder_attention_mask,
          position_ids=decoder_position_ids,
          encoder_hidden_states=encoder_hidden_states,
          encoder_attention_mask=encoder_attention_mask,
          output_attentions=output_attentions,
          output_hidden_states=output_hidden_states,
          return_dict=return_dict,
          deterministic=deterministic,
      )
  
      if not return_dict:
          return decoder_outputs + encoder_outputs
  
      return FlaxSeq2SeqLMOutput(
          logits=decoder_outputs.logits,
          decoder_hidden_states=decoder_outputs.hidden_states,
          decoder_attentions=decoder_outputs.attentions,
          cross_attentions=decoder_outputs.cross_attentions,
          encoder_last_hidden_state=encoder_hidden_states,
          encoder_hidden_states=encoder_outputs.hidden_states,
          encoder_attentions=encoder_outputs.attentions,
      )
  
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 6 for calling the FlaxSpeechEncoderDecoderModule obj's underlying member method code with example usage: obj.__call__(inputs, attention_mask, decoder_input_ids, decoder_attention_mask, decoder_position_ids, encoder_outputs, output_attentions, output_hidden_states, return_dict, deterministic, freeze_feature_encoder) and returns: FlaxSeq2SeqLMOutput, unknown