message: Introduc `_USE_EXPERIMENTAL_NEW_CONVERTER` in lite module.
diff: @@ -76,6 +76,10 @@ from tensorflow.python.util import deprecation as _deprecation
  from tensorflow.python.util.tf_export import tf_export as _tf_export
  +# The default value of `experimental_new_converter`.
  +_USE_EXPERIMENTAL_NEW_CONVERTER = False
  +
  +
  @_tf_export("lite.Optimize")
  class Optimize(enum.Enum):
  """Enum defining the optimizations to apply when generating tflite graphs.
  @@ -167,7 +171,7 @@ class TFLiteConverterBase(object):
  self.target_spec = TargetSpec()
  self.optimizations = []
  self.representative_dataset = None
  - self.experimental_new_converter = False
  + self.experimental_new_converter = _USE_EXPERIMENTAL_NEW_CONVERTER
  self.experimental_new_quantizer = False
  # The 'GraphDebugInfo' contains the stack traces of all the original nodes
  # in the `GraphDef` to the converter.
  