code: def testSoftPlacedNumericTensors(self, value, dtype, expect):
      with ops.device("GPU:0"):
          a = math_ops.add(
              constant_op.constant(value, dtype=dtype),
              constant_op.constant(value, dtype=dtype),
          )
      self.assertIn(expect, a.backing_device)
  
imports: from absl.testing import parameterized
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import remote
  from tensorflow.python.eager import test
  from tensorflow.python.framework import config
  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 math_ops
  from tensorflow.python.ops import random_ops
label_desc: Use image node_id 9 for calling the SoftDevicePlacementTest obj's underlying member method code with example usage: obj.testSoftPlacedNumericTensors(value, dtype, expect) without return types