code: def _get_transformer_branching_decoder_config():
      """Returns config for the Transformer decoder."""
      num_cells = 2
      left_inputs = [0, 1, 2, 3, 4]
      left_layers = [
          layers.STANDARD_ATTENTION_REGISTRY_KEY,
          layers.ATTEND_TO_ENCODER_REGISTRY_KEY,
          layers.STANDARD_CONV_1X1_REGISTRY_KEY,
          layers.STANDARD_CONV_1X1_REGISTRY_KEY,
          layers.IDENTITY_REGISTRY_KEY,
      ]
      left_output_dims = [512, 512, 1024, 256, 512]
      right_inputs = [0, 1, 2, 3, 2]
      right_layers = [
          layers.IDENTITY_REGISTRY_KEY,
          layers.IDENTITY_REGISTRY_KEY,
          layers.STANDARD_CONV_1X1_REGISTRY_KEY,
          layers.STANDARD_CONV_1X1_REGISTRY_KEY,
          layers.IDENTITY_REGISTRY_KEY,
      ]
      right_output_dims = [512, 512, 1024, 256, 512]
      combiner_functions = [
          translation_nas_net.ADD_COMBINER_FUNC_KEY,
          translation_nas_net.ADD_COMBINER_FUNC_KEY,
          translation_nas_net.CONCAT_COMBINER_FUNC_KEY,
          translation_nas_net.CONCAT_COMBINER_FUNC_KEY,
          translation_nas_net.ADD_COMBINER_FUNC_KEY,
      ]
      dummy_activations = [translation_nas_net.NONE_ACTIVATION_KEY] * 5
      dummy_norms = [translation_nas_net.NO_NORM_KEY] * 5
      layer_registry = layers.DECODER_LAYERS
      is_decoder = True
      final_combiner_function = (
          translation_nas_net.CONCAT_COMBINER_FUNC_KEY
      )
  
      return (
          num_cells,
          left_inputs,
          left_layers,
          left_output_dims,
          right_inputs,
          right_layers,
          right_output_dims,
          combiner_functions,
          final_combiner_function,
          dummy_activations,
          dummy_norms,
          layer_registry,
          is_decoder,
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  from tensor2tensor.data_generators import problem_hparams
  from tensor2tensor.layers import common_attention
  from tensor2tensor.models import transformer
  from tensor2tensor.models.neural_architecture_search import nas_layers
  from tensor2tensor.models.neural_architecture_search import nas_model
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 3 for calling a global function with example usage: _get_transformer_branching_decoder_config() and returns: num_cells,  left_inputs,  left_layers,  left_output_dims,  right_inputs,  right_layers,  right_output_dims,  combiner_functions,  final_combiner_function,  dummy_activations,  dummy_norms,  layer_registry,  is_decoder