code: def _testGradientWhenNotAllComponentsRead(self):
      with self.session() as session, self.test_scope():
  
          def fn():
              ta = tensor_array_ops.TensorArray(
                  dtype=dtypes.float32, size=2
              )
              x = constant_op.constant([2.0, 3.0])
              w = ta.unstack(x)
              r0 = w.read(0)
              # Calculate (dr0/dx0, dr0/dx1).  since r0 = x0, gradients are (1, 0).
              return gradients_impl.gradients(
                  ys=[r0], xs=[x], grad_ys=[1.0]
              )
  
          grad_r0_vals = self.evaluate(xla.compile(fn))[0]
          self.assertAllEqual(grad_r0_vals, [1.0, 0.0])
  
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 34 for calling the TensorArrayTest obj's underlying member method code with example usage: obj._testGradientWhenNotAllComponentsRead() and returns: gradients_impl