code: def _testTensorArrayGradientWritePackConcatAndRead(self):
      with self.session() as sess, self.test_scope():
  
          def fn():
              ta = tensor_array_ops.TensorArray(
                  dtype=dtypes.float32,
                  tensor_array_name="foo",
                  size=2,
                  clear_after_read=False,
              )
  
              value_0 = constant_op.constant([-1.0, 1.0])
              value_1 = constant_op.constant([-10.0, 10.0])
  
              w0 = ta.write(0, value_0)
              w1 = w0.write(1, value_1)
              p0 = w1.stack()
              r0 = w1.read(0)
              s0 = w1.concat()
  
              # Test gradient accumulation between read(0), pack(), and concat().
              with ops.control_dependencies([p0, r0, s0]):
                  return gradients_impl.gradients(
                      ys=[p0, r0, s0],
                      xs=[value_0, value_1],
                      grad_ys=[
                          [[2.0, 3.0], [4.0, 5.0]],  # stack gradient
                          [-0.5, 1.5],  # read(0) gradient
                          [20.0, 30.0, 40.0, 50.0],  # concat gradient
                      ],
                  )
  
          grad_vals = self.evaluate(xla.compile(fn))  # 2 + 2 entries
  
          self.assertAllClose(
              [2.0 - 0.5 + 20.0, 3.0 + 1.5 + 30.0], grad_vals[0]
          )
          self.assertAllEqual([4.0 + 40.0, 5.0 + 50.0], grad_vals[1])
  
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 23 for calling the TensorArrayTest obj's underlying member method code with example usage: obj._testTensorArrayGradientWritePackConcatAndRead() and returns: gradients_impl