Add test_util.no_xla_auto_jit decorator to more tests.

Also add the decorator to tensorflow/python:layout_optimizer_test_gpu. For convenience, add a for_all_test_methods decorator, which applies a given decorator to all test methods of a class.

PiperOrigin-RevId: 245904023

tensorflow/python/framework/test_util.py

@@ -1554,20 +1554,31 @@ def disable_xla(description):
   return disable_xla_impl
 
 
-# The description is just for documentation purposes.
-def disable_all_xla(description):
+def for_all_test_methods(decorator, *args, **kwargs):
+  """Generate class-level decorator from given method-level decorator.
 
-  def disable_all_impl(cls):
-    """Execute all test methods in this class only if xla is not enabled."""
-    base_decorator = disable_xla
+  It is expected for the given decorator to take some arguments and return
+  a method that is then called on the test method to produce a decorated
+  method.
+
+  Args:
+    decorator: The decorator to apply.
+    *args: Positional arguments
+    **kwargs: Keyword arguments
+  Returns: Function that will decorate a given classes test methods with the
+    decorator.
+  """
+
+  def all_test_methods_impl(cls):
+    """Apply decorator to all test methods in class."""
     for name in dir(cls):
       value = getattr(cls, name)
       if callable(value) and name.startswith(
-          "test") and not name == "test_session":
-        setattr(cls, name, base_decorator(description)(value))
+          "test") and (name != "test_session"):
+        setattr(cls, name, decorator(*args, **kwargs)(value))
     return cls
 
-  return disable_all_impl
+  return all_test_methods_impl
 
 
 # The description is just for documentation purposes.

tensorflow/python/grappler/layout_optimizer_test.py

@@ -201,6 +201,8 @@ def _is_permute(node):
       'VecPermuteNCHWToNHWC-LayoutOptimizer')
 
 
+@test_util.for_all_test_methods(test_util.no_xla_auto_jit,
+                                'Test does not apply in XLA setting')
 class LayoutOptimizerTest(test.TestCase):
   """Tests the Grappler layout optimizer."""
 

tensorflow/python/keras/layers/convolutional_test.py

@@ -421,7 +421,8 @@ class ZeroPaddingTest(keras_parameterized.TestCase):
       keras.layers.ZeroPadding3D(padding=None)
 
 
-@test_util.disable_all_xla('align_corners=False not supported by XLA')
+@test_util.for_all_test_methods(test_util.disable_xla,
+                                'align_corners=False not supported by XLA')
 @keras_parameterized.run_all_keras_modes
 class UpSamplingTest(keras_parameterized.TestCase):
 

tensorflow/python/kernel_tests/random/random_ops_test.py

@@ -257,7 +257,8 @@ class TruncatedNormalTest(test.TestCase):
       self.assertAllEqual(rnd1, rnd2)
 
 
-@test_util.disable_all_xla("This never passed on XLA")
+@test_util.for_all_test_methods(test_util.disable_xla,
+                                "This never passed on XLA")
 class RandomUniformTest(RandomOpTestCommon):
 
   def _Sampler(self, num, minv, maxv, dtype, use_gpu, seed=None):

tensorflow/python/ops/image_grad_test.py

@@ -29,7 +29,8 @@ from tensorflow.python.ops import image_ops
 from tensorflow.python.platform import test
 
 
-@test_util.disable_all_xla('align_corners=False not supported by XLA')
+@test_util.for_all_test_methods(test_util.disable_xla,
+                                'align_corners=False not supported by XLA')
 class ResizeNearestNeighborOpTest(test.TestCase):
 
   TYPES = [np.float32, np.float64]

tensorflow/python/ops/image_ops_test.py

@@ -3349,7 +3349,7 @@ class ResizeImageWithPadV1Test(test_util.TensorFlowTestCase):
 
 
 # half_pixel_centers not supported by XLA
-@test_util.disable_all_xla("b/127616992")
+@test_util.for_all_test_methods(test_util.disable_xla, "b/127616992")
 class ResizeImageWithPadV2Test(test_util.TensorFlowTestCase):
 
   def _ResizeImageWithPad(self, x, target_height, target_width,