class_docstr: Ensures Sonnet optimizers have equivalent behavior to TensorFlow.
code: def _make_tf(self, learning_rate, decay, momentum, epsilon, centered):
      optimizer = tf.optimizers.RMSprop(
          learning_rate=learning_rate,
          rho=decay,
          momentum=momentum,
          epsilon=epsilon,
          centered=centered,
      )
      return lambda g, p: optimizer.apply_gradients(zip(g, p))
  
imports: from sonnet.src import test_utils
  from sonnet.src.optimizers import optimizer_tests
  from sonnet.src.optimizers import rmsprop
  import tensorflow
label_desc: Use image node_id 1 for calling the ComparisonTest obj's underlying member method code with example usage: obj._make_tf(learning_rate, decay, momentum, epsilon, centered) and returns: function