code: def testLikeDistBeliefMom01(self):
      # train.MomentumOptimizer is V1 only API.
      with ops.Graph().as_default(), self.cached_session():
          db_grad, db_out = self._dbParamsMom01()
          num_samples = len(db_grad)
          var0 = variables.Variable([0.0] * num_samples)
          grads0 = constant_op.constant([0.0] * num_samples)
          mom_opt = momentum_lib.MomentumOptimizer(
              learning_rate=0.1, momentum=0.1
          )
          mom_update = mom_opt.apply_gradients(zip([grads0], [var0]))
          self.evaluate(variables.global_variables_initializer())
          for i in range(num_samples):
              mom_update.run(feed_dict={grads0: db_grad[i]})
              self.assertAllClose(
                  np.array(db_out[i]), self.evaluate(var0)
              )
  
imports: import numpy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import indexed_slices
  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 embedding_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.training import momentum
label_desc: Use image node_id 13 for calling the MomentumOptimizerTest obj's underlying member method code with example usage: obj.testLikeDistBeliefMom01() without return types