code: def _get_output_shapes(*branch_graph_outputs):
      output_shapes = []
      for out_by_branch in zip(*branch_graph_outputs):
          shape = out_by_branch[0].shape
          for other_out in out_by_branch[1:]:
              shape = shape.most_specific_compatible_shape(
                  other_out.shape
              )
          output_shapes.append(shape)
      return output_shapes
  
imports: import collections
  from tensorflow.core.framework import types_pb2
  from tensorflow.python.eager import backprop_util
  from tensorflow.python.framework import auto_control_deps
  from tensorflow.python.framework import auto_control_deps_utils
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import func_graph
  from tensorflow.python.framework import indexed_slices
  from tensorflow.python.framework import none_tensor
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.framework import type_spec
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_util
  from tensorflow.python.ops import control_flow_util_v2
  from tensorflow.python.ops import default_gradient
  from tensorflow.python.ops import gen_functional_ops
  from tensorflow.python.ops import gen_optional_ops
  from tensorflow.python.ops import gradients_util
  from tensorflow.python.ops import handle_data_util
  from tensorflow.python.ops import math_ops
  from tensorflow.python.util import nest
label_desc: Use image node_id 26 for calling a global function with example usage: _get_output_shapes() and returns: output_shapes