code: def get_batch_coordinate(x):
      """Return a flat int32 tensor of shape [1, batch_size*length, 1]."""
      # Compute the batch coordinate before flattening all batches
      batch_coordinate = tf.expand_dims(
          common_attention.coordinate_tensor(
              common_layers.shape_list(x)[:-1], axis=0
          ),
          axis=-1,
      )
      return batch_coordinate
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from tensor2tensor.layers import common_attention
  from tensor2tensor.layers import common_hparams
  from tensor2tensor.layers import common_layers
  from tensor2tensor.utils import expert_utils
  from tensor2tensor.utils import registry
  from tensor2tensor.utils import t2t_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_batch_coordinate(x) and returns: batch_coordinate