diff --git a/tensorflow/python/eager/benchmarks/resnet50/resnet50_test.py b/tensorflow/python/eager/benchmarks/resnet50/resnet50_test.py
index 362fad1388c..30e2585e842 100644
--- a/tensorflow/python/eager/benchmarks/resnet50/resnet50_test.py
+++ b/tensorflow/python/eager/benchmarks/resnet50/resnet50_test.py
@@ -104,6 +104,7 @@ class ResNet50Test(tf.test.TestCase):
       context.async_wait()
     self.assertEqual((2, 1000), output.shape)
 
+  @test_util.disable_tfrt('Flaky test. b/157103729')
   def test_apply(self):
     self._apply(defun=False)
 
@@ -120,6 +121,7 @@ class ResNet50Test(tf.test.TestCase):
   def test_apply_with_defun_async(self):
     self._apply(defun=True, execution_mode=context.ASYNC)
 
+  @test_util.disable_tfrt('Flaky test. b/157103729')
   def test_apply_no_top(self):
     device, data_format = resnet50_test_util.device_and_data_format()
     model = resnet50.ResNet50(data_format, include_top=False)
@@ -130,6 +132,7 @@ 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('Flaky test. b/157103729')
   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')
@@ -138,6 +141,7 @@ class ResNet50Test(tf.test.TestCase):
       output = model(images, training=False)
     self.assertEqual((2, 2048), output.shape)
 
+  @test_util.disable_tfrt('Flaky test. b/157103729')
   def test_apply_no_average_pooling(self):
     device, data_format = resnet50_test_util.device_and_data_format()
     model = resnet50.ResNet50(
@@ -149,6 +153,7 @@ class ResNet50Test(tf.test.TestCase):
                     (2, 7, 7, 2048))
     self.assertEqual(output_shape, output.shape)
 
+  @test_util.disable_tfrt('Flaky test. b/157103729')
   def test_apply_block3_strides(self):
     device, data_format = resnet50_test_util.device_and_data_format()
     model = resnet50.ResNet50(
@@ -160,6 +165,7 @@ class ResNet50Test(tf.test.TestCase):
                     (2, 1, 1, 2048))
     self.assertEqual(output_shape, output.shape)
 
+  @test_util.disable_tfrt('Flaky test. b/157103729')
   def test_apply_retrieve_intermediates(self):
     device, data_format = resnet50_test_util.device_and_data_format()
     model = resnet50.ResNet50(
@@ -214,6 +220,7 @@ class ResNet50Test(tf.test.TestCase):
     self.assertEqual(len(events), 2)
     self.assertEqual(events[1].summary.value[0].tag, 'loss')
 
+  @test_util.disable_tfrt('Flaky test. b/157103729')
   def test_train(self):
     self._test_train()
 
@@ -221,6 +228,7 @@ class ResNet50Test(tf.test.TestCase):
   def test_train_async(self):
     self._test_train(execution_mode=context.ASYNC)
 
+  @test_util.disable_tfrt('Flaky test. b/157103729')
   def test_no_garbage(self):
     device, data_format = resnet50_test_util.device_and_data_format()
     model = resnet50.ResNet50(data_format)