Added test for normalize functionality in make_grid function. (#840)

test/test_utils.py

@@ -18,6 +18,23 @@ class Tester(unittest.TestCase):
         utils.make_grid(t, normalize=True, scale_each=True)
         assert torch.equal(t, t_clone), 'make_grid modified tensor in-place'
 
+    def test_normalize_in_make_grid(self):
+        t = torch.rand(5, 3, 10, 10) * 255
+        norm_max = torch.tensor(1.0)
+        norm_min = torch.tensor(0.0)
+
+        grid = utils.make_grid(t, normalize=True)
+        grid_max = torch.max(grid)
+        grid_min = torch.min(grid)
+
+        # Rounding the result to one decimal for comparison
+        n_digits = 1
+        rounded_grid_max = torch.round(grid_max * 10 ** n_digits) / (10 ** n_digits)
+        rounded_grid_min = torch.round(grid_min * 10 ** n_digits) / (10 ** n_digits)
+
+        assert torch.equal(norm_max, rounded_grid_max), 'Normalized max is not equal to 1'
+        assert torch.equal(norm_min, rounded_grid_min), 'Normalized min is not equal to 0'
+
 
 if __name__ == '__main__':
     unittest.main()