Added sizes check and a test (#2816)

test/test_transforms.py

@@ -298,6 +298,11 @@ class Tester(unittest.TestCase):
         self.assertEqual(result.size(1), height + 1)
         self.assertEqual(result.size(2), width + 1)
 
+        t = transforms.RandomCrop(48)
+        img = torch.ones(3, 32, 32)
+        with self.assertRaisesRegex(ValueError, r"Required crop size .+ is larger then input image size .+"):
+            t(img)
+
     def test_pad(self):
         height = random.randint(10, 32) * 2
         width = random.randint(10, 32) * 2

torchvision/transforms/transforms.py

@@ -532,6 +532,12 @@ class RandomCrop(torch.nn.Module):
         """
         w, h = F._get_image_size(img)
         th, tw = output_size
+
+        if h + 1 < th or w + 1 < tw:
+            raise ValueError(
+                "Required crop size {} is larger then input image size {}".format((th, tw), (h, w))
+            )
+
         if w == tw and h == th:
             return 0, 0, h, w