code: def testTensorArrayGradientSplitConcat(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
              )
  
              value = constant_op.constant(
                  [
                      [1.0, -1.0],
                      [10.0, -10.0],
                      [100.0, -100.0],
                      [1000.0, -1000.0],
                  ]
              )
  
              w = ta.split(value, [2, 2])
              r = w.concat()
  
              # Test combined gradients
              return gradients_impl.gradients(
                  ys=[r],
                  xs=[value],
                  grad_ys=[
                      [
                          [2.0, -2.0],
                          [20.0, -20.0],
                          [200.0, -200.0],
                          [2000.0, -2000.0],
                      ]
                  ],
              )
  
          grad_vals = self.evaluate(xla.compile(fn))
  
          self.assertEqual(len(grad_vals), 1)
          self.assertAllEqual(
              [
                  [2.0, -2.0],
                  [20.0, -20.0],
                  [200.0, -200.0],
                  [2000.0, -2000.0],
              ],
              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 28 for calling the TensorArrayTest obj's underlying member method code with example usage: obj.testTensorArrayGradientSplitConcat() and returns: gradients_impl