code: def testMinimizeSparseResourceVariableCentered(self):
      for dtype in [dtypes.float32, dtypes.float64]:
          with self.cached_session():
              var0 = resource_variable_ops.ResourceVariable(
                  [[1.0, 2.0]], dtype=dtype
              )
              x = constant_op.constant([[4.0], [5.0]], dtype=dtype)
              pred = math_ops.matmul(
                  embedding_ops.embedding_lookup([var0], [0]), x
              )
              loss = pred * pred
              sgd_op = rmsprop.RMSPropOptimizer(
                  learning_rate=1.0,
                  decay=0.0,
                  momentum=0.0,
                  epsilon=1.0,
                  centered=True,
              ).minimize(loss)
              self.evaluate(variables.global_variables_initializer())
              # Fetch params to validate initial values
              self.assertAllCloseAccordingToType(
                  [[1.0, 2.0]], self.evaluate(var0)
              )
              # Run 1 step of sgd
              self.evaluate(sgd_op)
              # Validate updated params
              self.assertAllCloseAccordingToType(
                  [[-111, -138]], self.evaluate(var0), atol=0.01
              )
  
imports: import copy
  import itertools
  import math
  import numpy
  from tensorflow.python.eager import context
  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 test_util
  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 rmsprop
label_desc: Use image node_id 5 for calling the RMSPropOptimizerTest obj's underlying member method code with example usage: obj.testMinimizeSparseResourceVariableCentered() without return types