code: def testNoVariables(self):
      for dtype in [dtypes.half, dtypes.float32, dtypes.float64]:
          # pylint: disable=cell-var-from-loop
          def loss():
              var0 = resource_variable_ops.ResourceVariable(
                  [1.0, 2.0], dtype=dtype, trainable=False, name="a"
              )
              var1 = resource_variable_ops.ResourceVariable(
                  [3.0, 4.0], dtype=dtype, trainable=False, name="b"
              )
              return 5 * var0 + var1
  
          # pylint: enable=cell-var-from-loop
          sgd_op = gradient_descent.GradientDescentOptimizer(3.0)
          with self.assertRaisesRegex(ValueError, "No.*variables"):
              sgd_op.minimize(loss)
  
imports: from tensorflow.python.distribute import cross_device_ops
  from tensorflow.python.distribute import distribute_utils
  from tensorflow.python.distribute import mirrored_strategy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  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 clip_ops
  from tensorflow.python.ops import gradients_util
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.ops import state_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.training import adam
  from tensorflow.python.training import gradient_descent
label_desc: Use image node_id 4 for calling the OptimizerTest obj's underlying member method code with example usage: obj.testNoVariables() and returns: unknown