code: def testMultipleIdentityOpFromOneSparseTensor(self):
      inputs_a = array_ops.ones([2, 1])
      layout_a = Layout.batch_sharded(self.mesh, _BATCH_DIM, rank=2)
  
      @polymorphic_function.function
      def f(x):
          return array_ops.identity(x), array_ops.identity(x)
  
      got_a, got_b = f(
          numpy_util.pack_numpy(inputs_a, layout_a, make_sparse=True)
      )
  
      self.assertDTensorEqual(inputs_a, layout_a, got_a)
      self.assertDTensorEqual(inputs_a, layout_a, got_b)
  
file_path: tensorflow-upstream/tensorflow/dtensor/python/tests/sparse_test.py
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.dtensor.python import layout
  from tensorflow.dtensor.python import numpy_util
  from tensorflow.dtensor.python.tests import test_util
  from tensorflow.python.eager.polymorphic_function import polymorphic_function
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 4 for calling the DTensorSPMDTest obj's underlying member method code with example usage: obj.testMultipleIdentityOpFromOneSparseTensor() and returns: array_ops,  array_ops