code: def _testTensorArrayGradientUnpackRead(self):
      with self.session() as session, self.test_scope():
  
          def fn():
              ta = tensor_array_ops.TensorArray(
                  dtype=dtypes.float32,
                  tensor_array_name="foo",
                  size=2,
                  clear_after_read=False,
              )
  
              value = constant_op.constant([[1.0, -1.0], [10.0, -10.0]])
  
              w = ta.unstack(value)
              r0 = w.read(0)
              r0_1 = w.read(0)
              r1 = w.read(1)
  
              # Test combined gradients + aggregation of read(0).
              return gradients_impl.gradients(
                  ys=[r0, r0_1, r1],
                  xs=[value],
                  grad_ys=[[2.0, 3.0], [-1.5, 1.5], [4.0, 5.0]],
              )
  
          grad_vals = self.evaluate(xla.compile(fn))
  
          self.assertEqual(len(grad_vals), 1)
          self.assertAllEqual(
              [[2.0 - 1.5, 3.0 + 1.5], [4.0, 5.0]], grad_vals[0]
          )
  
imports: import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.compiler.xla import xla
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_util
  from tensorflow.python.ops import gen_data_flow_ops
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.ops import tensor_array_grad
  from tensorflow.python.ops import tensor_array_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 26 for calling the TensorArrayTest obj's underlying member method code with example usage: obj._testTensorArrayGradientUnpackRead() and returns: gradients_impl