code: def get_error_tag_embedding_matrix():
      candidates = [
          var
          for var in tf.global_variables()
          if "targets_error_tag" in var.op.name
      ]
      if len(candidates) != 1:
          raise ValueError(
              "Could not identify error tag embedding matrix! "
              "Matching variable names: %s" % candidates
          )
      embed_mat = candidates[0]
      return embed_mat
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import logging
  from tensor2tensor.layers import common_attention
  from tensor2tensor.layers import common_layers
  from tensor2tensor.layers import transformer_layers
  from tensor2tensor.models import transformer
  from tensor2tensor.utils import registry
  from tensor2tensor.utils import t2t_model
  import tensorflow.compat.v1
label_desc: Use image node_id 9 for calling a global function with example usage: get_error_tag_embedding_matrix() and returns: embed_mat