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,
          output_attentions=output_attentions,
          output_hidden_states=output_hidden_states,
      )
      encoder_outputs[
          "last_hidden_state"
      ] = encoder_outputs.last_hidden_state.repeat_interleave(
          num_interleave, dim=0
      )
      input_ids = input_ids[:, :, 0]
      input_ids = tf.zeros_like(
          input_ids[:, :1], dtype=tf.int64
      ) + tf.convert_to_tensor([model._get_decoder_start_token_id()])
      attention_mask = None
      return encoder_outputs, input_ids, attention_mask
  
imports: import inspect
  import os
  import tempfile
  import traceback
  import unittest
  import numpy
  from transformers import WhisperConfig, WhisperFeatureExtractor, WhisperProcessor
  from transformers.testing_utils import is_tf_available, require_tf, require_tokenizers, run_test_in_subprocess, slow
  from transformers.utils import cached_property
  from transformers.utils.import_utils import is_datasets_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor
label_desc: Use image node_id 15 for calling the TFWhisperModelTest 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