code: def testAverageVariablesNumUpdates_Vector_Debias_DynamicDecay(self):
      decay_var = variables.Variable(0.75)
      # With num_updates 1, the decay applied is 0.181818.
      ema = moving_averages.ExponentialMovingAverage(
          decay_var, num_updates=1, zero_debias=True
      )
      self._CheckDecay(
          ema, actual_decay=0.181818, dim=5, dynamic_decay_value=0.25
      )
  
imports: import numpy
  from tensorflow.python.compiler.xla.experimental import xla_sharding
  from tensorflow.python.eager import context
  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 gen_state_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.training import moving_averages
  from tensorflow.python.training import saver
label_desc: Use image node_id 17 for calling the ExponentialMovingAverageTest obj's underlying member method code with example usage: obj.testAverageVariablesNumUpdates_Vector_Debias_DynamicDecay() without return types