diff --git a/python/paddle/tests/test_transforms_static.py b/python/paddle/tests/test_transforms_static.py
index e8cb449df0014cb091072588539980212b8eefc0..d6656c96ab1863cca1c8d24af6f81fe082f18a38 100644
--- a/python/paddle/tests/test_transforms_static.py
+++ b/python/paddle/tests/test_transforms_static.py
@@ -100,6 +100,16 @@ class TestRandomVerticalFlip1(TestTransformUnitTestBase):
         self.api = transforms.RandomVerticalFlip(prob=1)
 
 
+class TestRandomHorizontalFlip0(TestTransformUnitTestBase):
+    def set_trans_api(self):
+        self.api = transforms.RandomHorizontalFlip(0)
+
+
+class TestRandomHorizontalFlip1(TestTransformUnitTestBase):
+    def set_trans_api(self):
+        self.api = transforms.RandomHorizontalFlip(1)
+
+
 class TestRandomCrop_random(TestTransformUnitTestBase):
     def get_shape(self):
         return (3, 240, 240)
diff --git a/python/paddle/vision/transforms/transforms.py b/python/paddle/vision/transforms/transforms.py
index 7dd4daeaebb26a440c68926afcc5f5f54abe4f2e..8b8d822886201d4ea7e0b16d698cdc024d8cf105 100644
--- a/python/paddle/vision/transforms/transforms.py
+++ b/python/paddle/vision/transforms/transforms.py
@@ -709,10 +709,23 @@ class RandomHorizontalFlip(BaseTransform):
         self.prob = prob
 
     def _apply_image(self, img):
+        if paddle.in_dynamic_mode():
+            return self._dynamic_apply_image(img)
+        else:
+            return self._static_apply_image(img)
+
+    def _dynamic_apply_image(self, img):
         if random.random() < self.prob:
             return F.hflip(img)
         return img
 
+    def _static_apply_image(self, img):
+        return paddle.static.nn.cond(
+            paddle.rand(shape=(1,)) < self.prob,
+            lambda: F.hflip(img),
+            lambda: img,
+        )
+
 
 class RandomVerticalFlip(BaseTransform):
     """Vertically flip the input data randomly with a given probability.