code: def initVariableAndGradient(self, dtype):
      var0 = resource_variable_ops.ResourceVariable(
          [0.0, 0.0], dtype=dtype
      )
      var1 = resource_variable_ops.ResourceVariable(
          [0.0, 0.0], dtype=dtype
      )
      grads0 = constant_op.constant([0.1, 0.2], dtype=dtype)
      grads1 = constant_op.constant([0.02, 0.04], dtype=dtype)
  
      return var0, var1, grads0, grads1
  
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 1 for calling the FtrlOptimizerTest obj's underlying member method code with example usage: obj.initVariableAndGradient(dtype) and returns: var0,  var1,  grads0,  grads1