diff --git a/tensorflow/python/eager/benchmarks/resnet50/resnet50_test.py b/tensorflow/python/eager/benchmarks/resnet50/resnet50_test.py
index 9d049a6d59d..34ceb56d129 100644
--- a/tensorflow/python/eager/benchmarks/resnet50/resnet50_test.py
+++ b/tensorflow/python/eager/benchmarks/resnet50/resnet50_test.py
@@ -104,7 +104,6 @@ class ResNet50Test(tf.test.TestCase):
       context.async_wait()
     self.assertEqual((2, 1000), output.shape)
 
-  @test_util.disable_tfrt('b/155260334')
   def test_apply(self):
     self._apply(defun=False)
 
@@ -121,7 +120,6 @@ class ResNet50Test(tf.test.TestCase):
   def test_apply_with_defun_async(self):
     self._apply(defun=True, execution_mode=context.ASYNC)
 
-  @test_util.disable_tfrt('b/155260334')
   def test_apply_no_top(self):
     device, data_format = resnet50_test_util.device_and_data_format()
     model = resnet50.ResNet50(data_format, include_top=False)
@@ -132,7 +130,6 @@ class ResNet50Test(tf.test.TestCase):
                     if data_format == 'channels_first' else (2, 1, 1, 2048))
     self.assertEqual(output_shape, output.shape)
 
-  @test_util.disable_tfrt('b/155260334')
   def test_apply_with_pooling(self):
     device, data_format = resnet50_test_util.device_and_data_format()
     model = resnet50.ResNet50(data_format, include_top=False, pooling='avg')
@@ -141,7 +138,6 @@ class ResNet50Test(tf.test.TestCase):
       output = model(images, training=False)
     self.assertEqual((2, 2048), output.shape)
 
-  @test_util.disable_tfrt('b/155260334')
   def test_apply_no_average_pooling(self):
     device, data_format = resnet50_test_util.device_and_data_format()
     model = resnet50.ResNet50(
@@ -153,7 +149,6 @@ class ResNet50Test(tf.test.TestCase):
                     (2, 7, 7, 2048))
     self.assertEqual(output_shape, output.shape)
 
-  @test_util.disable_tfrt('b/155260334')
   def test_apply_block3_strides(self):
     device, data_format = resnet50_test_util.device_and_data_format()
     model = resnet50.ResNet50(
@@ -165,7 +160,6 @@ class ResNet50Test(tf.test.TestCase):
                     (2, 1, 1, 2048))
     self.assertEqual(output_shape, output.shape)
 
-  @test_util.disable_tfrt('b/155260334')
   def test_apply_retrieve_intermediates(self):
     device, data_format = resnet50_test_util.device_and_data_format()
     model = resnet50.ResNet50(
@@ -220,7 +214,6 @@ class ResNet50Test(tf.test.TestCase):
     self.assertEqual(len(events), 2)
     self.assertEqual(events[1].summary.value[0].tag, 'loss')
 
-  @test_util.disable_tfrt('b/155260334')
   def test_train(self):
     self._test_train()
 
@@ -228,7 +221,6 @@ class ResNet50Test(tf.test.TestCase):
   def test_train_async(self):
     self._test_train(execution_mode=context.ASYNC)
 
-  @test_util.disable_tfrt('b/155260334')
   def test_no_garbage(self):
     device, data_format = resnet50_test_util.device_and_data_format()
     model = resnet50.ResNet50(data_format)