code: def testTensorArrayReadTwice(self):
      with self.session(), self.test_scope():
  
          def fn():
              value = constant_op.constant([[1.0, -1.0], [10.0, -10.0]])
  
              ta_readtwice = tensor_array_ops.TensorArray(
                  dtype=dtypes.float32,
                  tensor_array_name="foo",
                  size=2,
                  clear_after_read=False,
              )
              w_readtwice = ta_readtwice.unstack(value)
              r0_readtwice = w_readtwice.read(0)
              with ops.control_dependencies([r0_readtwice]):
                  r1_readtwice = w_readtwice.read(0)
  
              return [r0_readtwice, r1_readtwice]
  
          self.assertAllEqual(
              [1.0, -1.0], self.evaluate(xla.compile(fn))[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 25 for calling the TensorArrayTest obj's underlying member method code with example usage: obj.testTensorArrayReadTwice() and returns: list