message: Change UNDEFINED to UNSPECIFIED in code handling unspecified built-in arguments.
diff: @@ -37,7 +37,7 @@ from tensorflow.python.ops import list_ops
  from tensorflow.python.ops import math_ops
  -UNDEFINED = object()
  +UNSPECIFIED = object()
  def overload_of(f):
  @@ -77,14 +77,14 @@ def _py_float(x):
  return float(x)
  -def int_(x=0, base=UNDEFINED):
  +def int_(x=0, base=UNSPECIFIED):
  if tensor_util.is_tensor(x):
  return _tf_int(x, base)
  return _py_int(x, base)
  def _tf_int(x, base):
  - if base not in (10, UNDEFINED):
  + if base not in (10, UNSPECIFIED):
  raise NotImplementedError('base {} not supported for int'.format(base))
  # TODO(mdan): We shouldn't assume int32.
  @@ -94,7 +94,7 @@ def _tf_int(x, base):
  def _py_int(x, base):
  - if base is UNDEFINED:
  + if base is UNSPECIFIED:
  return int(x)
  return int(x, base)
  @@ -167,7 +167,7 @@ def print_(*objects, **kwargs):
  def _tf_py_func_print(objects, kwargs):
  """Overload of print_ as a py_func implementation."""
  - override_kwargs = {k: v for k, v in kwargs.items() if v is not UNDEFINED}
  + override_kwargs = {k: v for k, v in kwargs.items() if v is not UNSPECIFIED}
  if 'flush' not in override_kwargs:
  # Defaulting to flushing the console in graph mode, which helps reduce
  # garbled output in IPython.
  @@ -187,7 +187,7 @@ def _tf_py_func_print(objects, kwargs):
  print_wrapper, None, objects, use_dummy_return=True)
  -def range_(start_or_stop, stop=UNDEFINED, step=UNDEFINED):
  +def range_(start_or_stop, stop=UNSPECIFIED, step=UNSPECIFIED):
  if any(tensor_util.is_tensor(s) for s in (start_or_stop, stop, step)):
  return _tf_range(start_or_stop, stop, step)
  return _py_range(start_or_stop, stop, step)
  @@ -200,10 +200,10 @@ def _tf_range(start_or_stop, stop, step):
  # graph construction error aligns the semantics with Python.
  # TODO(mdan): We should optimize this when a full tensor is not required.
  - if step is not UNDEFINED:
  + if step is not UNSPECIFIED:
  # TODO(mdan): Add argument coercion similar to other cases.
  return math_ops.range(start_or_stop, stop, step)
  - if stop is not UNDEFINED:
  + if stop is not UNSPECIFIED:
  stop = math_ops.maximum(start_or_stop, stop)
  return math_ops.range(start_or_stop, stop)
  start_or_stop = math_ops.maximum(start_or_stop, 0)
  @@ -211,9 +211,9 @@ def _tf_range(start_or_stop, stop, step):
  def _py_range(start_or_stop, stop, step):
  - if step is not UNDEFINED:
  + if step is not UNSPECIFIED:
  return range(start_or_stop, stop, step)
  - if stop is not UNDEFINED:
  + if stop is not UNSPECIFIED:
  return range(start_or_stop, stop)
  return range(start_or_stop)
  