class_docstr: GammaBeta Scheduler tests.
class_docstr_tok: ["GammaBeta","Scheduler","tests","."]
docstr: Test call.
  
  Test that attribute of internal optimizer is correctly rerouted to the
  internal optimizer
  
  Args:
    step: step number to 'GammaBetaDecreasingStep' 'Scheduler'.
    res: expected result from call to 'GammaBetaDecreasingStep' 'Scheduler'.
docstr_tok: ["Test","call",".","Test","that","attribute","of","internal","optimizer","is","correctly","rerouted","to","the","internal","optimizer","Args",":","step",":","step","number","to","'GammaBetaDecreasingStep","'","'Scheduler","'",".","res",":","expected","result","from","call","to","'GammaBetaDecreasingStep","'","'Scheduler","'","."]
code: def test_call(self, step, res):
      """Test call.
  
      Test that attribute of internal optimizer is correctly rerouted to the
      internal optimizer
  
      Args:
        step: step number to 'GammaBetaDecreasingStep' 'Scheduler'.
        res: expected result from call to 'GammaBetaDecreasingStep' 'Scheduler'.
      """
      beta = _ops.convert_to_tensor_v2(2, dtype=tf.float32)
      gamma = _ops.convert_to_tensor_v2(1, dtype=tf.float32)
      scheduler = opt.GammaBetaDecreasingStep()
      scheduler.initialize(beta, gamma)
      step = _ops.convert_to_tensor_v2(step, dtype=tf.float32)
      lr = scheduler(step)
      self.assertAllClose(lr.numpy(), res)
  
imports: import unittest
  from absl.testing import parameterized
  import tensorflow.compat.v1
  from tensorflow.compat.v1.python import ops
  from tensorflow.compat.v1.python.framework import test_util
  from tensorflow.compat.v1.python.keras import keras_parameterized
  from tensorflow.compat.v1.python.keras import losses
  from tensorflow.compat.v1.python.keras.initializers import constant
  from tensorflow.compat.v1.python.keras.models import Model
  from tensorflow.compat.v1.python.keras.optimizer_v2.optimizer_v2 import OptimizerV2
  from tensorflow.compat.v1.python.keras.regularizers import L1L2
  from tensorflow.compat.v1.python.platform import test
  from tensorflow_privacy.privacy.bolt_on import optimizers
  from tensorflow_privacy.privacy.bolt_on.losses import StrongConvexMixin
label_desc: Use image node_id 2 for calling the SchedulerTest obj's underlying member method code with example usage: obj.test_call(step, res) without return types