diff --git a/gluoncv/data/transforms/block.py b/gluoncv/data/transforms/block.py
index 5965ed93b7..812eae9e0a 100644
--- a/gluoncv/data/transforms/block.py
+++ b/gluoncv/data/transforms/block.py
@@ -53,7 +53,7 @@ class RandomCrop(Block):
     Inputs:
         - **data**: input tensor with (Hi x Wi x C) shape.
     Outputs:
-        - **out**: output tensor with ((H+2*pad) x (W+2*pad) x C) shape.
+        - **out**: output tensor with (size[0] x size[1] x C) or (size x size x C) shape.
     """
 
     def __init__(self, size, pad=None, interpolation=2):
@@ -62,18 +62,13 @@ def __init__(self, size, pad=None, interpolation=2):
         if isinstance(size, numeric_types):
             size = (size, size)
         self._args = (size, interpolation)
-        if isinstance(pad, int):
-            self.pad = ((pad, pad), (pad, pad), (0, 0))
-        else:
-            self.pad = pad
-
+        self.pad = ((pad, pad), (pad, pad), (0, 0)) if isinstance(pad, int) else pad
     def forward(self, x):
         if self.pad:
-            x_pad = np.pad(x.asnumpy(), self.pad,
-                           mode='constant', constant_values=0)
-
-        return image.random_crop(nd.array(x_pad), *self._args)[0]
-
+            return image.random_crop(nd.array(
+                np.pad(x.asnumpy(), self.pad, mode='constant', constant_values=0)), *self._args)[0]
+        else:
+            return image.random_crop(x, *self._args)[0]
 
 class RandomErasing(Block):
     """Randomly erasing the area in `src` between `s_min` and `s_max` with `probability`.