code: def testFtrlwithoutRegularization2(self):
      for dtype in self.float_types:
          with self.session(), self.test_scope():
              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 = ftrl.FtrlOptimizer(
                  3.0,
                  initial_accumulator_value=0.1,
                  l1_regularization_strength=0.0,
                  l2_regularization_strength=0.0,
              )
              ftrl_update = opt.apply_gradients(
                  zip([grads0, grads1], [var0, var1])
              )
              self.evaluate(variables.global_variables_initializer())
              # Fetch params to validate initial values
              self.assertAllClose([1.0, 2.0], self.evaluate(var0))
              self.assertAllClose([4.0, 3.0], self.evaluate(var1))
  
              # Run 3 steps FTRL
              for _ in range(3):
                  ftrl_update.run()
  
              # Validate updated params
              self.assertAllCloseAccordingToType(
                  np.array([-2.55607247, -3.98729396]),
                  self.evaluate(var0),
                  1e-5,
                  1e-5,
                  float_rtol=1e-4,
              )
              self.assertAllCloseAccordingToType(
                  np.array([-0.28232238, -0.56096673]),
                  self.evaluate(var1),
                  1e-5,
                  1e-5,
              )
  
imports: import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.framework import constant_op
  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 ftrl
  from tensorflow.python.training import gradient_descent
label_desc: Use image node_id 7 for calling the FtrlOptimizerTest obj's underlying member method code with example usage: obj.testFtrlwithoutRegularization2() without return types