class_docstr: Interface for combiner functions.
class_docstr_tok: ["Interface","for","combiner","functions","."]
docstr: Determines the output dimension of the combined tensor.
  
  Args:
    output_dims: List of output dimensions of combined tensors.
  
  Returns:
    Output dimension of the combined tensor.
docstr_tok: ["Determines","the","output","dimension","of","the","combined","tensor",".","Args",":","output_dims",":","List","of","output","dimensions","of","combined","tensors",".","Returns",":","Output","dimension","of","the","combined","tensor","."]
code: def combined_output_dim(self, output_dims):
      """Determines the output dimension of the combined tensor.
  
      Args:
        output_dims: List of output dimensions of combined tensors.
  
      Returns:
        Output dimension of the 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 2 for calling the CombinerFunction obj's underlying member method code with example usage: obj.combined_output_dim(output_dims) without return types