class_docstr: Interface for combiner functions.
class_docstr_tok: ["Interface","for","combiner","functions","."]
docstr: Combines `tensors`.
  
  Args:
    tensors: List of tensors to combine.
  
  Returns:
    Combined tensor.
docstr_tok: ["Combines","`","tensors","`",".","Args",":","tensors",":","List","of","tensors","to","combine",".","Returns",":","Combined","tensor","."]
code: def combine_tensors(self, tensors):
      """Combines `tensors`.
  
      Args:
        tensors: List of tensors to combine.
  
      Returns:
        Combined tensor.
      """
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import abc
  import six
  from tensor2tensor.layers import common_attention
  from tensor2tensor.layers import common_layers
  from tensor2tensor.models import transformer
  from tensor2tensor.models.neural_architecture_search import nas_layers
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import metrics
  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 1 for calling the CombinerFunction obj's underlying member method code with example usage: obj.combine_tensors(tensors) without return types