diff --git a/mindspore/core/ops/ormqr.cc b/mindspore/core/ops/ormqr.cc
index ac3c227df82..86fff64d3bf 100644
--- a/mindspore/core/ops/ormqr.cc
+++ b/mindspore/core/ops/ormqr.cc
@@ -50,7 +50,7 @@ abstract::ShapePtr OrmqrInferShape(const PrimitivePtr &primitive, const std::vec
 
   if ((x_rank - kColIndex) != tau_rank) {
     MS_EXCEPTION(ValueError) << "For Ormqr,  tau should have one dimension less than x"
-                             << ", while rank of x is" << x_shape.size() << " and "
+                             << ", while rank of x is " << x_shape.size() << " and "
                              << "rank of tau is " << tau_shape.size() << ".";
   }
   if (x_rank != other_rank) {
diff --git a/mindspore/core/ops/unravel_index.cc b/mindspore/core/ops/unravel_index.cc
index bf5be11c935..cf76e30aa34 100644
--- a/mindspore/core/ops/unravel_index.cc
+++ b/mindspore/core/ops/unravel_index.cc
@@ -32,11 +32,13 @@ namespace {
 abstract::ShapePtr UravelIndexInferShape(const PrimitivePtr &primitive,
                                          const std::vector<AbstractBasePtr> &input_args) {
   MS_EXCEPTION_IF_NULL(primitive);
+  auto op_name = primitive->name();
+  const int64_t input_num = 2;
+  (void)CheckAndConvertUtils::CheckInteger("input number", SizeToLong(input_args.size()), kEqual, input_num, op_name);
   if (!input_args[0]->isa<abstract::AbstractTensor>() || !input_args[1]->isa<abstract::AbstractTensor>()) {
     MS_EXCEPTION(TypeError) << "Input must be a Tensor.";
   }
 
-  auto op_name = primitive->name();
   auto indices_shape = CheckAndConvertUtils::ConvertShapePtrToShapeMap(input_args[0]->BuildShape())[kShape];
   auto dims_shape = CheckAndConvertUtils::ConvertShapePtrToShapeMap(input_args[1]->BuildShape())[kShape];
   // support dynamic shape