add __repr__ for transforms.RandomErasing (#3491)

test/test_transforms.py

@@ -1991,6 +1991,9 @@ class Tester(unittest.TestCase):
         p_value = stats.binom_test(count_bigger_then_ones, trial, p=0.5)
         self.assertGreater(p_value, 0.0001)
 
+        # Checking if RandomErasing can be printed as string
+        t.__repr__()
+
 
 if __name__ == '__main__':
     unittest.main()

torchvision/transforms/transforms.py

@@ -1630,6 +1630,14 @@ class RandomErasing(torch.nn.Module):
             return F.erase(img, x, y, h, w, v, self.inplace)
         return img
 
+    def __repr__(self):
+        s = '(p={}, '.format(self.p)
+        s += 'scale={}, '.format(self.scale)
+        s += 'ratio={}, '.format(self.ratio)
+        s += 'value={}, '.format(self.value)
+        s += 'inplace={})'.format(self.inplace)
+        return self.__class__.__name__ + s
+
 
 class GaussianBlur(torch.nn.Module):
     """Blurs image with randomly chosen Gaussian blur.