code: def test_weak_tensor_in_tf_func_with_branch_error(self):
      a = constant_op.constant(1, dtypes.int32)
      b = WeakTensor.from_tensor(a)
  
      @def_function.function()
      def f(c, a, b):
          if c > 1:
              return a
          else:
              return b
  
      with self.assertRaises(TypeError):
          # if and else branch cannot return two different types in a tf.function.
          _ = f(constant_op.constant(2, dtypes.int32), a, b)
  
imports: import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import extension_type
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.framework.weak_tensor import EagerWeakTensor
  from tensorflow.python.framework.weak_tensor import GraphWeakTensor
  from tensorflow.python.framework.weak_tensor import WeakTensor
  from tensorflow.python.module import module
  from tensorflow.python.platform import googletest
  from tensorflow.python.saved_model.load import load
  from tensorflow.python.saved_model.save import save
  from tensorflow.python.types import core
label_desc: Use image node_id 8 for calling the WeakTensorTest obj's underlying member method code with example usage: obj.test_weak_tensor_in_tf_func_with_branch_error() and returns: a, b