Enable framework_ops_test test for TFRT.

Also class support for test_util.disable_tfrt().

PiperOrigin-RevId: 308743069
Change-Id: I813ab74fac4c94c2075fc31a677f4aadc7e138f5

tensorflow/python/BUILD

@@ -1969,6 +1969,7 @@ py_library(
 )
 
 # Including this as a dependency will result in tests to use TFRT.
+# TODO(b/153582383): Move tf_ops_alwayslink dependency to c_api_tfrt instead.
 py_library(
     name = "is_tfrt_test_true",
     srcs = ["framework/is_tfrt_test_true.py"],
@@ -2378,6 +2379,7 @@ tf_py_test(
     main = "framework/ops_test.py",
     python_version = "PY3",
     tags = ["no_pip"],  # test_ops_2 is not available in pip.
+    tfrt_enabled = True,
     deps = [
         ":cond_v2",
         ":control_flow_ops",

tensorflow/python/eager/BUILD

@@ -621,7 +621,6 @@ py_library(
     deps = [":test"],
 )
 
-# TODO(b/153582383): Move tf_ops_alwayslink dependency to c_api_tfrt instead.
 cuda_py_test(
     name = "benchmarks_test",
     srcs = ["benchmarks_test.py"],

tensorflow/python/framework/ops_test.py

@@ -90,6 +90,7 @@ class ResourceTest(test_util.TensorFlowTestCase):
                   resources.shared_resources()).eval()), 0)
 
 
+@test_util.disable_tfrt("Graph is not supported yet.")
 class TensorAndShapeTest(test_util.TensorFlowTestCase):
 
   def testShape(self):
@@ -309,6 +310,7 @@ class TensorAndShapeTest(test_util.TensorFlowTestCase):
     del x
     self.assertIsNotNone(x_ref.deref())
 
+@test_util.disable_tfrt("Graph mode is not supported yet.")
 @test_util.run_all_in_graph_and_eager_modes
 class IndexedSlicesTest(test_util.TensorFlowTestCase):
 
@@ -353,6 +355,7 @@ class IndexedSlicesTest(test_util.TensorFlowTestCase):
     self.assertAllEqual(x.indices, [0, 2])
 
 
+@test_util.disable_tfrt("Graph mode is not supported yet.")
 @test_util.run_all_in_graph_and_eager_modes
 class IndexedSlicesSpecTest(test_util.TensorFlowTestCase,
                             parameterized.TestCase):
@@ -498,6 +501,7 @@ def _apply_op(g, *args, **kwargs):
     return op.outputs
 
 
+@test_util.disable_tfrt("Graph is not supported yet.")
 class OperationTest(test_util.TensorFlowTestCase):
 
   @test_util.run_deprecated_v1
@@ -1428,6 +1432,7 @@ class NameTest(test_util.TensorFlowTestCase):
                        g.create_op("FloatOutput", [], [dtypes.float32]).name)
 
 
+@test_util.disable_tfrt("Device API are not supported yet.")
 class DeviceTest(test_util.TensorFlowTestCase):
 
   def testNoDevice(self):
@@ -2008,6 +2013,7 @@ class CollectionTest(test_util.TensorFlowTestCase):
       # Collections are ordered.
       self.assertEqual([90, 100], ops.get_collection("key"))
 
+  @test_util.disable_tfrt("Functions are not supported yet.")
   def test_defun(self):
     with context.eager_mode():
 
@@ -2114,6 +2120,7 @@ class ControlDependenciesTest(test_util.TensorFlowTestCase):
     # e should be dominated by c.
     self.assertEqual(e.op.control_inputs, [])
 
+  @test_util.disable_tfrt("Graph is not supported yet.")
   @test_util.run_in_graph_and_eager_modes
   def testEager(self):
     def future():
@@ -2434,6 +2441,7 @@ class OpScopeTest(test_util.TensorFlowTestCase):
     self._testGraphElements([a, variable, b])
 
 
+@test_util.disable_tfrt("Graphs are not supported yet.")
 class InitScopeTest(test_util.TensorFlowTestCase):
 
   def testClearsControlDependencies(self):
@@ -2736,6 +2744,7 @@ class InitScopeTest(test_util.TensorFlowTestCase):
           self.assertFalse(self.evaluate(f()))
 
 
+@test_util.disable_tfrt("Graphs are not supported yet.")
 class GraphTest(test_util.TensorFlowTestCase):
 
   def setUp(self):
@@ -3213,6 +3222,7 @@ class ColocationGroupTest(test_util.TensorFlowTestCase):
       b = variables.Variable([3.0], name="b")
     self.assertEqual([b"loc:@a"], b.op.colocation_groups())
 
+  @test_util.disable_tfrt("Functions are not supported yet.")
   def testColocateWithVariableInFunction(self):
     v = variables.Variable(1.)
 
@@ -3248,6 +3258,7 @@ class DeprecatedTest(test_util.TensorFlowTestCase):
 
 class DenseTensorLikeTypeTest(test_util.TensorFlowTestCase):
 
+  @test_util.disable_tfrt("Graph is not supported yet.")
   def testSuccess(self):
     op = ops.Operation(
         ops._NodeDef("FloatOutput", "myop"), ops.Graph(), [], [dtypes.float32])
@@ -3421,6 +3432,7 @@ ops.register_tensor_conversion_function(
 
 class CustomConvertToCompositeTensorTest(test_util.TensorFlowTestCase):
 
+  @test_util.disable_tfrt("b/154858769")
   def testCompositeTensorConversion(self):
     """Tests that a user can register a CompositeTensor converter."""
     x = _MyTuple((1, [2., 3.], [[4, 5], [6, 7]]))

tensorflow/python/framework/test_util.py

@@ -1788,23 +1788,29 @@ def disable_mlir_bridge(description):  # pylint: disable=unused-argument
 # The description is just for documentation purposes.
 def disable_tfrt(unused_description):
 
-  def disable_tfrt_impl(func):
+  def disable_tfrt_impl(cls_or_func):
-    """Execute the test method only if tfrt is not enabled."""
+    """Execute the test only if tfrt is not enabled."""
 
-    def decorator(func):
+    if tf_inspect.isclass(cls_or_func):
+      if is_tfrt_enabled():
+        return None
+      else:
+        return cls_or_func
+    else:
+      def decorator(func):
 
-      def decorated(self, *args, **kwargs):
+        def decorated(self, *args, **kwargs):
-        if is_tfrt_enabled():
+          if is_tfrt_enabled():
-          return
+            return
-        else:
+          else:
-          return func(self, *args, **kwargs)
+            return func(self, *args, **kwargs)
 
-      return decorated
+        return decorated
 
-    if func is not None:
+      if cls_or_func is not None:
-      return decorator(func)
+        return decorator(cls_or_func)
 
-    return decorator
+      return decorator
 
   return disable_tfrt_impl