diff --git a/test/test_ops.py b/test/test_ops.py
index e59eb4574c..4a30ca42e5 100644
--- a/test/test_ops.py
+++ b/test/test_ops.py
@@ -612,6 +612,10 @@ class TestOps(unittest.TestCase):
   def test_pad2d(self):
     helper_test_op([(3,3,3,3)], lambda x: torch.nn.functional.pad(x, (1,2,3,4)), lambda x: x.pad2d(padding=(1,2,3,4)))
 
+  def test_pad(self):
+    helper_test_op([(3,3)], lambda x: torch.nn.functional.pad(x, (1,2,3,4)),lambda x: x.pad(((3,4),(1,2))))
+    helper_test_op([(3,3)], lambda x: torch.nn.functional.pad(x, (1,2,3,4), value=5), lambda x: x.pad(((3,4), (1,2)), value=5))
+
   def test_transpose(self):
     helper_test_op([(3,3,3)], lambda x: x.transpose(1,2), lambda x: x.transpose(1,2))
     helper_test_op([(3,3,3)], lambda x: x.transpose(0,2), lambda x: x.transpose(0,2))
diff --git a/tinygrad/tensor.py b/tinygrad/tensor.py
index 7148a73c06..87ef53f6ff 100644
--- a/tinygrad/tensor.py
+++ b/tinygrad/tensor.py
@@ -243,8 +243,10 @@ class Tensor:
   def expand(self, shape, *args) -> Tensor: return mlops.Expand.apply(self, shape=tuple([x if x != -1 else s for s,x in zip(self.shape, argfix(shape, *args))]))
   def permute(self, order, *args) -> Tensor: return mlops.Permute.apply(self, order=argfix(order, *args))
   def flip(self, axis, *args) -> Tensor: return mlops.Flip.apply(self, axis=[x if x >= 0 else x+len(self.shape) for x in argfix(axis, *args)])
-  def pad(self, arg:Tuple[Tuple[int, int], ...]) -> Tensor: return mlops.Pad.apply(self, arg=arg) if any(x != (0,0) for x in arg) else self
   def shrink(self, arg:Tuple[Tuple[int, int], ...]) -> Tensor: return mlops.Shrink.apply(self, arg=arg) if any(x != (0,s) for x,s in zip(arg, self.shape)) else self
+  def pad(self, arg: Tuple[Tuple[int, int], ...], value:float=0) -> Tensor:
+    ret = mlops.Pad.apply(self, arg=arg) if any(x != (0, 0) for x in arg) else self
+    return ret if 0 == value else ret + (value - mlops.Pad.apply(Tensor.full(self.shape, value), arg=arg))
 
   # ***** movement hlops *****