Fix randomresized params flaky (#1282)

* Fix flakiness of test_randomresized_params

* Real fix

* Reduce number of iters

test/test_transforms.py

@@ -141,8 +141,9 @@ class Tester(unittest.TestCase):
         img = to_pil_image(img)
         size = 100
         epsilon = 0.05
+        min_scale = 0.25
         for _ in range(10):
-            scale_min = round(random.random(), 2)
+            scale_min = max(round(random.random(), 2), min_scale)
             scale_range = (scale_min, scale_min + round(random.random(), 2))
             aspect_min = max(round(random.random(), 2), epsilon)
             aspect_ratio_range = (aspect_min, aspect_min + round(random.random(), 2))

torchvision/transforms/transforms.py

@@ -645,7 +645,7 @@ class RandomResizedCrop(object):
             w = int(round(math.sqrt(target_area * aspect_ratio)))
             h = int(round(math.sqrt(target_area / aspect_ratio)))
 
-            if w <= img.size[0] and h <= img.size[1]:
+            if 0 < w <= img.size[0] and 0 < h <= img.size[1]:
                 i = random.randint(0, img.size[1] - h)
                 j = random.randint(0, img.size[0] - w)
                 return i, j, h, w