From 1e3981b63885401e9a308d02d6468eec7bad2d4d Mon Sep 17 00:00:00 2001
From: "A. Unique TensorFlower" <gardener@tensorflow.org>
Date: Wed, 13 Feb 2019 13:23:27 -0800
Subject: [PATCH] [TF:XLA] Enable some tests that were mistakenly disabled.

PiperOrigin-RevId: 233816788
---
 tensorflow/python/BUILD                        | 1 +
 tensorflow/python/ops/bitwise_ops_test.py      | 3 ---
 tensorflow/python/ops/special_math_ops_test.py | 1 -
 3 files changed, 1 insertion(+), 4 deletions(-)

diff --git a/tensorflow/python/BUILD b/tensorflow/python/BUILD
index 542a8fd55e8..79f4c68ac4f 100644
--- a/tensorflow/python/BUILD
+++ b/tensorflow/python/BUILD
@@ -3403,6 +3403,7 @@ cuda_py_test(
         ":framework_test_lib",
     ],
     tags = ["no_windows"],
+    xla_enable_strict_auto_jit = True,
 )
 
 cuda_py_test(
diff --git a/tensorflow/python/ops/bitwise_ops_test.py b/tensorflow/python/ops/bitwise_ops_test.py
index c182874c7f2..d154b6759bf 100644
--- a/tensorflow/python/ops/bitwise_ops_test.py
+++ b/tensorflow/python/ops/bitwise_ops_test.py
@@ -35,7 +35,6 @@ class BitwiseOpTest(test_util.TensorFlowTestCase):
     super(BitwiseOpTest, self).__init__(method_name)
 
   @test_util.run_deprecated_v1
-  @test_util.disable_xla("This test never passed for XLA")
   def testBinaryOps(self):
     dtype_list = [dtypes.int8, dtypes.int16, dtypes.int32, dtypes.int64,
                   dtypes.uint8, dtypes.uint16, dtypes.uint32, dtypes.uint64]
@@ -73,7 +72,6 @@ class BitwiseOpTest(test_util.TensorFlowTestCase):
         self.assertAllEqual(truth, popcnt_result)
 
   @test_util.run_deprecated_v1
-  @test_util.disable_xla("This test never passed for XLA")
   def testInvertOp(self):
     dtype_list = [dtypes.int8, dtypes.int16, dtypes.int32, dtypes.int64,
                   dtypes.uint8, dtypes.uint16, dtypes.uint32, dtypes.uint64]
@@ -99,7 +97,6 @@ class BitwiseOpTest(test_util.TensorFlowTestCase):
           self.assertAllEqual(inverted, expected)
 
   @test_util.run_deprecated_v1
-  @test_util.disable_xla("This test never passed for XLA")
   def testShiftsWithPositiveLHS(self):
     dtype_list = [np.int8, np.int16, np.int32, np.int64,
                   np.uint8, np.uint16, np.uint32, np.uint64]
diff --git a/tensorflow/python/ops/special_math_ops_test.py b/tensorflow/python/ops/special_math_ops_test.py
index 60e0f1f832b..41ba060a4b6 100644
--- a/tensorflow/python/ops/special_math_ops_test.py
+++ b/tensorflow/python/ops/special_math_ops_test.py
@@ -119,7 +119,6 @@ class LBetaTest(test.TestCase):
           special_math_ops.lbeta(x).get_shape())
 
   @test_util.run_in_graph_and_eager_modes
-  @test_util.disable_xla('This test never passed for XLA')
   def test_length_1_last_dimension_results_in_one(self):
     # If there is only one coefficient, the formula still works, and we get one
     # as the answer, always.