code: def testEquivAdagradwithoutRegularization(self):
      # ProximalAdagradOptimizer is supported only in V1.
      with ops.Graph().as_default(), self.cached_session():
          val0, val1 = self.applyOptimizer(
              proximal_adagrad.ProximalAdagradOptimizer(
                  3.0,
                  initial_accumulator_value=0.1,
                  l1_regularization_strength=0.0,
                  l2_regularization_strength=0.0,
              )
          )
  
      with ops.Graph().as_default(), self.cached_session():
          val2, val3 = self.applyOptimizer(
              adagrad.AdagradOptimizer(
                  3.0, initial_accumulator_value=0.1
              )
          )
  
      self.assertAllClose(val0, val2)
      self.assertAllClose(val1, val3)
  
imports: import numpy
  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.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 adagrad
  from tensorflow.python.training import proximal_adagrad
label_desc: Use image node_id 9 for calling the ProximalAdagradOptimizerTest obj's underlying member method code with example usage: obj.testEquivAdagradwithoutRegularization() without return types