fix ssim filter size check

mindspore/nn/layer/image.py

@@ -104,6 +104,12 @@ def _check_input_4d(input_shape, param_name, func_name):
         raise ValueError(f"{func_name} {param_name} should be 4d, but got shape {input_shape}")
     return True
 
+@constexpr
+def _check_input_filter_size(input_shape, param_name, filter_size, func_name):
+    _check_input_4d(input_shape, param_name, func_name)
+    validator.check(param_name + " shape[2]", input_shape[2], "filter_size", filter_size, Rel.GE, func_name)
+    validator.check(param_name + " shape[3]", input_shape[3], "filter_size", filter_size, Rel.GE, func_name)
+
 class SSIM(Cell):
     r"""
     Returns SSIM index between img1 and img2.
@@ -154,8 +160,7 @@ class SSIM(Cell):
         self.mean = P.DepthwiseConv2dNative(channel_multiplier=1, kernel_size=filter_size)
 
     def construct(self, img1, img2):
-        _check_input_4d(F.shape(img1), "img1", self.cls_name)
-        _check_input_4d(F.shape(img2), "img2", self.cls_name)
+        _check_input_filter_size(F.shape(img1), "img1", self.filter_size, self.cls_name)
         P.SameTypeShape()(img1, img2)
         max_val = _convert_img_dtype_to_float32(self.max_val, self.max_val)
         img1 = _convert_img_dtype_to_float32(img1, self.max_val)

tests/ut/python/ops/test_ops.py

@@ -1754,6 +1754,10 @@ raise_set = [
         'block': (P.PReLU(), {'exception': ValueError}),
         'desc_inputs': [[2], [1]],
         'desc_bprop': [[1]]}),
+    ('SSIM', {
+        'block': (nn.SSIM(), {'exception': ValueError}),
+        'desc_inputs': [Tensor(np.ones((1, 3, 8, 8)), mstype.float32),
+                        Tensor(np.ones((1, 3, 8, 8)), mstype.float32)]}),
 
 ]