diff --git a/mindspore/ops/operations/array_ops.py b/mindspore/ops/operations/array_ops.py
index 69ca492aac72e2f8d62f2c3047f9365747e2d7f5..e3cc057b494708ff6456ed3bcd557f7ab3a1ef2e 100644
--- a/mindspore/ops/operations/array_ops.py
+++ b/mindspore/ops/operations/array_ops.py
@@ -1049,6 +1049,8 @@ class InvertPermutation(PrimitiveWithInfer):
     def __infer__(self, x):
         x_shp = x['shape']
         x_value = x['value']
+        if x_value is None:
+            raise ValueError(f'For \'{self.name}\' the input value must be const.')
         validator.check_value_type("shape", x_shp, [tuple, list], self.name)
         if mstype.issubclass_(x['dtype'], mstype.tensor):
             validator.check('x dimension', len(x_shp), '', 1, Rel.EQ, self.name)
@@ -1057,6 +1059,10 @@ class InvertPermutation(PrimitiveWithInfer):
         z = [x_value[i] for i in range(len(x_value))]
         z.sort()
 
+        validator.check(f'value length', len(x_value), f'unique value length', len(set(x_value)), Rel.EQ, self.name)
+        validator.check(f'value min', min(x_value), '', 0, Rel.EQ, self.name)
+        validator.check(f'value max', max(x_value), '', len(x_value)-1, Rel.EQ, self.name)
+
         y = [None] * len(x_value)
         for i, value in enumerate(x_value):
             validator.check_value_type("input[%d]" % i, value, [int], self.name)