code: def testAdagradDAwithoutRegularizationBasic2(self):
      for dtype in self.float_types:
          with self.session(), self.test_scope():
              global_step = resource_variable_ops.ResourceVariable(
                  0, dtype=dtypes.int64
              )
              var0 = resource_variable_ops.ResourceVariable(
                  [1.0, 2.0], dtype=dtype
              )
              var1 = resource_variable_ops.ResourceVariable(
                  [4.0, 3.0], dtype=dtype
              )
              grads0 = constant_op.constant([0.1, 0.2], dtype=dtype)
              grads1 = constant_op.constant([0.01, 0.02], dtype=dtype)
  
              opt = adagrad_da.AdagradDAOptimizer(
                  3.0,
                  global_step,
                  initial_gradient_squared_accumulator_value=0.1,
                  l1_regularization_strength=0.0,
                  l2_regularization_strength=0.0,
              )
              update = opt.apply_gradients(
                  zip([grads0, grads1], [var0, var1]),
                  global_step=global_step,
              )
              self.evaluate(variables.global_variables_initializer())
  
              self.assertAllCloseAccordingToType(
                  [1.0, 2.0], self.evaluate(var0)
              )
              self.assertAllCloseAccordingToType(
                  [4.0, 3.0], self.evaluate(var1)
              )
  
              # Run a step of AdagradDA
              update.run()
  
              self.assertAllCloseAccordingToType(
                  np.array([-0.904534, -1.603567]), self.evaluate(var0)
              )
              self.assertAllCloseAccordingToType(
                  np.array([-0.094821, -0.189358]), self.evaluate(var1)
              )
  
file_path: tensorflow/tensorflow/compiler/tests/adagrad_da_test.py
imports: import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  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_da
label_desc: Use image node_id 2 for calling the AdagradDAOptimizerTest obj's underlying member method code with example usage: obj.testAdagradDAwithoutRegularizationBasic2() without return types