code: def get_config(self):
      return WhisperConfig(
          vocab_size=self.vocab_size,
          d_model=self.hidden_size,
          encoder_layers=self.num_hidden_layers,
          decoder_layers=self.num_hidden_layers,
          encoder_attention_heads=self.num_attention_heads,
          decoder_attention_heads=self.num_attention_heads,
          input_channels=self.input_channels,
          dropout=self.hidden_dropout_prob,
          attention_dropout=self.attention_probs_dropout_prob,
          max_position_embeddings=self.max_position_embeddings,
          max_source_positions=self.max_source_positions,
          max_target_positions=self.max_target_positions,
          eos_token_id=self.eos_token_id,
          bos_token_id=self.bos_token_id,
          pad_token_id=self.pad_token_id,
          decoder_ffn_dim=self.hidden_size,
          encoder_ffn_dim=self.hidden_size,
          decoder_start_token_id=self.decoder_start_token_id,
          suppress_tokens=self.suppress_tokens,
          begin_suppress_tokens=self.begin_suppress_tokens,
      )
  
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 3 for calling the TFWhisperModelTester obj's underlying member method code with example usage: obj.get_config() and returns: WhisperConfig