code: def testEmptyTensorArrayPack(self):
      with self.session(), self.test_scope():
  
          def fn():
              ta = tensor_array_ops.TensorArray(
                  dtype=dtypes.float32, tensor_array_name="foo", size=3
              )
  
              empty_element = np.zeros((0, 1), dtype=np.float32)
              w0 = ta.write(0, empty_element)
              w1 = w0.write(1, empty_element)
              w2 = w1.write(2, empty_element)
  
              return w2.stack()
  
          self.assertAllEqual(
              [3, 0, 1], self.evaluate(xla.compile(fn)[0]).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 4 for calling the TensorArrayTest obj's underlying member method code with example usage: obj.testEmptyTensorArrayPack() and returns: w2