code: def testApplyAdagrad(self):
      for dtype, use_gpu in itertools.product(
          [np.float16, np.float32, np.float64], [False, True]
      ):
          x = np.arange(100).astype(dtype)
          y = np.arange(1, 101).astype(dtype)
          lr = np.array(2.0).astype(dtype)
          grad = np.arange(100).astype(dtype)
          self._testTypesForAdagrad(x, y, lr, grad, use_gpu)
  
imports: import itertools
  import threading
  import numpy
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.framework.test_util import TensorFlowTestCase
  from tensorflow.python.ops import gen_training_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.ops import variable_v1
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 7 for calling the TrainingOpsTest obj's underlying member method code with example usage: obj.testApplyAdagrad() without return types