diff --git a/torchvision/transforms.py b/torchvision/transforms.py
index 6d649ab18fa..2d71e7fef17 100644
--- a/torchvision/transforms.py
+++ b/torchvision/transforms.py
@@ -11,7 +11,7 @@
 import numbers
 import types
 import collections
-
+import functools
 
 class Compose(object):
     """Composes several transforms together.
@@ -236,13 +236,52 @@ class Pad(object):
         padding (int or sequence): Padding on each border. If a sequence of
             length 4, it is used to pad left, top, right and bottom borders respectively.
         fill: Pixel fill value. Default is 0.
+        type:padding type: constant,reflect,edge,symmetric
     """
 
-    def __init__(self, padding, fill=0):
+    def __init__(self, padding, fill=0,type="constant"):
         assert isinstance(padding, numbers.Number)
         assert isinstance(fill, numbers.Number) or isinstance(fill, str) or isinstance(fill, tuple)
         self.padding = padding
         self.fill = fill
+        assert (type in ["constant","edge","symmetric","reflect"])
+        self.type = type
+
+    def __expand_reflect(slef,image, border=0):
+        """
+        Add border to the image(Symmetric padding)
+
+        :param image: The image to expand.
+        :param border: Border width, in pixels.
+        :return: An image.
+        """
+        img = np.asarray(image)
+        img = np.pad(img, pad_width=border, mode="reflect")
+        return Image.fromarray(np.uint8(img))
+
+    def __expand_edge(self,image, border=0):
+        """
+        Add border to the image(Symmetric padding)
+
+        :param image: The image to expand.
+        :param border: Border width, in pixels.
+        :return: An image.
+        """
+        img = np.asarray(image)
+        img = np.pad(img, pad_width=border, mode="edge")
+        return Image.fromarray(np.uint8(img))
+
+    def __expand_symmetric(self,image, border=0):
+        """
+        Add border to the image(Symmetric padding)
+
+        :param image: The image to expand.
+        :param border: Border width, in pixels.
+        :return: An image.
+        """
+        img = np.asarray(image)
+        img = np.pad(img, pad_width=border, mode="symmetric")
+        return Image.fromarray(np.uint8(img))
 
     def __call__(self, img):
         """
@@ -252,7 +291,14 @@ def __call__(self, img):
         Returns:
             PIL.Image: Padded image.
         """
-        return ImageOps.expand(img, border=self.padding, fill=self.fill)
+        if self.type == "constant":
+            return ImageOps.expand(img, border=self.padding, fill=self.fill)
+        elif self.type == "symmetric":
+            return self.__expand_symmetric(img, border=self.padding)
+        elif self.type == "reflect":
+            return self.__expand_reflect(img, border=self.padding)
+        elif self.type == "edge":
+            return self.__expand_edge(img, border=self.padding)
 
 
 class Lambda(object):
@@ -369,3 +415,7 @@ def __call__(self, img):
         scale = Scale(self.size, interpolation=self.interpolation)
         crop = CenterCrop(self.size)
         return crop(scale(img))
+
+
+
+