code: def testTensorArrayWriteRead(self):
      with self.session() as session, self.test_scope():
  
          def fn():
              ta = tensor_array_ops.TensorArray(
                  dtype=dtypes.float32, tensor_array_name="foo", size=3
              )
  
              w0 = ta.write(0, [[4.0, 5.0]])
              w1 = w0.write(1, [[1.0, 3.0]])
              w2 = w1.write(2, [[7.0, -8.5]])
  
              r0 = w2.read(0)
              r1 = w2.read(1)
              r2 = w2.read(2)
              flow = w2.flow
              return [r0, r1, r2, flow]
  
          d0, d1, d2, flow_val = self.evaluate(xla.compile(fn))
          self.assertAllEqual([[4.0, 5.0]], d0)
          self.assertAllEqual([[1.0, 3.0]], d1)
          self.assertAllEqual([[7.0, -8.5]], d2)
          self.assertAllEqual([], flow_val.shape)
  
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 1 for calling the TensorArrayTest obj's underlying member method code with example usage: obj.testTensorArrayWriteRead() and returns: list