code: def _get_encoder_outputs(
      model,
      input_ids,
      attention_mask,
      output_attentions=None,
      output_hidden_states=None,
      num_interleave=1,
  ):
      encoder = model.get_encoder()
      encoder_outputs = encoder(
          input_ids,
          attention_mask=attention_mask,
          output_attentions=output_attentions,
          output_hidden_states=output_hidden_states,
      )
      encoder_outputs["last_hidden_state"] = tf.repeat(
          encoder_outputs.last_hidden_state, num_interleave, axis=0
      )
  
      input_ids = input_ids[:, :, 0]
      input_ids = (
          tf.zeros_like(input_ids[:, :1], dtype=tf.int64)
          + model._get_decoder_start_token_id()
      )
      attention_mask = None
      return encoder_outputs, input_ids, attention_mask
  
imports: import inspect
  import unittest
  from transformers import Speech2TextConfig
  from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow
  from transformers.utils import cached_property, is_tf_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor
label_desc: Use image node_id 14 for calling the TFSpeech2TextModelTest obj's underlying member method code with example usage: obj._get_encoder_outputs(model, input_ids, attention_mask, output_attentions, output_hidden_states, num_interleave) and returns: encoder_outputs,  input_ids,  attention_mask