code: def _get_wrong_output_dim_decoder_hparams(self):
      tf.reset_default_graph()
  
      hparams = transformer.transformer_base()
      _add_transformer_branching_hparams(hparams)
      hparams.num_heads = 1
      # Purposely scale up the final embedding depth.
      wrong_output_size = _EMBEDDING_DEPTH + 1
      hparams.decoder_left_output_dims[-2] = (
          hparams.decoder_left_output_dims[-2] + 1
      )
      hparams.decoder_left_output_dims[-1] = wrong_output_size
  
      return hparams, wrong_output_size
  
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 4 for calling the NasSeq2SeqTest obj's underlying member method code with example usage: obj._get_wrong_output_dim_decoder_hparams() and returns: hparams,  wrong_output_size