code: def testFtrlWithBeta(self):
      # The v1 optimizers do not support eager execution
      with ops.Graph().as_default():
          for dtype in [dtypes.half, dtypes.float32]:
              with self.cached_session():
                  var0 = variables.Variable([1.0, 2.0], dtype=dtype)
                  var1 = variables.Variable([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, beta=0.1
                  )
                  update = opt.apply_gradients(
                      zip([grads0, grads1], [var0, var1])
                  )
                  self.evaluate(
                      variables.global_variables_initializer()
                  )
  
                  v0_val, v1_val = self.evaluate([var0, var1])
                  self.assertAllCloseAccordingToType([1.0, 2.0], v0_val)
                  self.assertAllCloseAccordingToType([4.0, 3.0], v1_val)
  
                  # Run 10 steps FTRL
                  for _ in range(10):
                      update.run()
                  v0_val, v1_val = self.evaluate([var0, var1])
                  self.assertAllCloseAccordingToType(
                      np.array([-6.096838, -9.162214]), v0_val
                  )
                  self.assertAllCloseAccordingToType(
                      np.array([-0.717741, -1.425132]), v1_val
                  )
  
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 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.testFtrlWithBeta() without return types