message: Deprecates gradient_checker V1
diff: @@ -31,6 +31,7 @@ from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradients
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import tf_logging as logging
  +from tensorflow.python.util import deprecation
  from tensorflow.python.util.tf_export import tf_export
  @@ -259,6 +260,7 @@ def _compute_gradient_list(x,
  init.run()
  if x_init_value is None:
  x_init_value = [None] * len(x)
  + # pylint: disable=g-complex-comprehension
  ret = [_compute_gradient(xi, x_shapei, dxi, y, y_shape, dyi, x_init_valuei,
  delta, extra_feed_dict=extra_feed_dict)
  for xi, x_shapei, dxi, dyi, x_init_valuei in zip(x, x_shape, dx, dy,
  @@ -267,6 +269,11 @@ def _compute_gradient_list(x,
  @tf_export(v1=["test.compute_gradient"])
  +@deprecation.deprecated(
  + date=None,
  + instructions="Use tf.test.compute_gradient in 2.0, which has better "
  + "support for functions. Note that the two versions have different usage, "
  + "so code change is needed.")
  def compute_gradient(x,
  x_shape,
  y,
  @@ -339,6 +346,11 @@ def _compute_error(grad):
  @tf_export(v1=["test.compute_gradient_error"])
  +@deprecation.deprecated(
  + date=None,
  + instructions="Use tf.test.compute_gradient in 2.0, which has better "
  + "support for functions. Note that the two versions have different usage, "
  + "so code change is needed.")
  def compute_gradient_error(x,
  x_shape,
  y,
  