code: def make_optimizer(self, *args, **kwargs):
      if "learning_rate" not in kwargs:
          kwargs["learning_rate"] = 3.0
      if hasattr(tf.keras.optimizers, "legacy"):
          return optimizer_tests.WrappedTFOptimizer(
              tf.keras.optimizers.legacy.SGD(**kwargs)
          )
      return optimizer_tests.WrappedTFOptimizer(
          tf.keras.optimizers.SGD(**kwargs)
      )
  
file_path: sonnet/sonnet/src/optimizers/sgd_test.py
imports: from sonnet.src.optimizers import optimizer_tests
  from sonnet.src.optimizers import sgd
  import tensorflow
label_desc: Use image node_id 1 for calling the ReferenceSGDTest obj's underlying member method code with example usage: obj.make_optimizer() and returns: optimizer_tests, optimizer_tests