code: def testBasic(self):
      @polymorphic_function.function
      def func0(a):
          return a + 1
  
      @polymorphic_function.function
      def func1(a):
          return a + 2
  
      c0 = api.copy_to_mesh(
          constant_op.constant(1.0),
          Layout.replicated(self.mesh, rank=0),
      )
      c1 = api.copy_to_mesh(
          constant_op.constant([2.0, 3.0]),
          Layout.replicated(self.mesh, rank=1),
      )
      c2 = api.copy_to_mesh(
          constant_op.constant([4.0]),
          Layout.replicated(self.mesh, rank=1),
      )
      c3 = api.copy_to_mesh(
          constant_op.constant(1, dtype=dtypes.int32),
          Layout.replicated(self.mesh, rank=0),
      )
  
      # c0 and c1 have different layouts. c1 and c2 have different shapes.
      # c0 and c3 have different dtypes.
      self.assertAllEqual(func0(c0), 2.0)
      self.assertAllEqual(func0(c1), [3.0, 4.0])
      self.assertAllEqual(func0(c2), [5.0])
      self.assertAllEqual(func0(c3), 2)
  
      # func0 and func1 have different names.
      self.assertAllEqual(func1(c0), 3.0)
  
imports: import gc
  import numpy
  from tensorflow.dtensor.python import api
  from tensorflow.dtensor.python import d_variable
  from tensorflow.dtensor.python import layout
  from tensorflow.dtensor.python.tests import test_util
  from tensorflow.python.eager.polymorphic_function import polymorphic_function
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_stateless_random_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the DTensorDeviceCacheTest obj's underlying member method code with example usage: obj.testBasic() and returns: unknown, unknown