!15604 fix ci alarm on master

From: @TFbunny
Reviewed-by: @tom__chen,@robingrosman
Signed-off-by: @robingrosman

mindspore/core/abstract/prim_arrays.cc

@@ -403,7 +403,7 @@ AbstractBasePtr InferImplScatterAdd(const AnalysisEnginePtr &, const PrimitivePt
   ShapeVector shape = x->shape()->shape();
   ShapeVector min_shape = x->shape()->min_shape();
   ShapeVector max_shape = x->shape()->max_shape();
-  (void)CheckMinMaxShape(shape, &min_shape, &max_shape);
+  CheckMinMaxShape(shape, &min_shape, &max_shape);
   return std::make_shared<AbstractTensor>(x->element(), std::make_shared<Shape>(shape, min_shape, max_shape));
 }
 
@@ -417,7 +417,7 @@ AbstractBasePtr InferImplScatterUpdate(const AnalysisEnginePtr &, const Primitiv
   ShapeVector shape = x->shape()->shape();
   ShapeVector min_shape = x->shape()->min_shape();
   ShapeVector max_shape = x->shape()->max_shape();
-  (void)CheckMinMaxShape(shape, &min_shape, &max_shape);
+  CheckMinMaxShape(shape, &min_shape, &max_shape);
   return std::make_shared<AbstractTensor>(x->element(), std::make_shared<Shape>(shape, min_shape, max_shape));
 }
 
@@ -774,7 +774,7 @@ AbstractBasePtr InferImplTranspose(const AnalysisEnginePtr &, const PrimitivePtr
   ShapeVector min_shp;
   ShapeVector x_max_shp = input->shape()->max_shape();
   ShapeVector x_min_shp = input->shape()->min_shape();
-  (void)CheckMinMaxShape(input_shp, &x_min_shp, &x_max_shp);
+  CheckMinMaxShape(input_shp, &x_min_shp, &x_max_shp);
   for (size_t i = 0; i < perm_vec.size(); i++) {
     auto idx = static_cast<size_t>(perm_vec[i]);
     result_shp.push_back(input_shp[idx]);
@@ -984,7 +984,7 @@ AbstractBasePtr InferImplConcat(const AnalysisEnginePtr &, const PrimitivePtr &p
   int64_t rank_base = SizeToLong(shape_base.size());
   ShapeVector min_shape_base = tensor_base->shape()->min_shape();
   ShapeVector max_shape_base = tensor_base->shape()->max_shape();
-  (void)CheckMinMaxShape(shape_base, &min_shape_base, &max_shape_base);
+  CheckMinMaxShape(shape_base, &min_shape_base, &max_shape_base);
 
   primitive->set_attr("T", tensor_base->element()->BuildType());
   primitive->set_attr("inputNums", MakeValue(SizeToLong(tuple_len)));
@@ -1009,7 +1009,7 @@ AbstractBasePtr InferImplConcat(const AnalysisEnginePtr &, const PrimitivePtr &p
     int64_t rank_tensor = SizeToLong(shape_tensor.size());
     ShapeVector min_shape_tensor = tensor->shape()->min_shape();
     ShapeVector max_shape_tensor = tensor->shape()->max_shape();
-    (void)CheckMinMaxShape(shape_tensor, &min_shape_tensor, &max_shape_tensor);
+    CheckMinMaxShape(shape_tensor, &min_shape_tensor, &max_shape_tensor);
     (void)CheckDtypeSame(op_name, tensor_base, tensor);
     if (rank_tensor != rank_base) {
       MS_LOG(EXCEPTION) << op_name << " can not concat element " << i << " with the first element: Wrong Rank";
@@ -1033,7 +1033,7 @@ AbstractBasePtr InferImplConcat(const AnalysisEnginePtr &, const PrimitivePtr &p
   auto shape = ret->shape()->shape();
   auto min_shape = ret->shape()->min_shape();
   auto max_shape = ret->shape()->max_shape();
-  (void)CheckMinMaxShape(shape, &min_shape, &max_shape);
+  CheckMinMaxShape(shape, &min_shape, &max_shape);
   shape[axis_value] = all_shp;
   min_shape[axis_value] = min_all_shp;
   max_shape[axis_value] = max_all_shp;
@@ -1107,13 +1107,13 @@ AbstractBasePtr InferImplArgMaxWithValue(const AnalysisEnginePtr &, const Primit
   };
   // main calculate shape func
   auto cal_shape = [axis, keep_dims_value, check_axis](ShapeVector &shape, const ShapeVector &x_shape) -> void {
-    shape.insert(shape.end(), x_shape.begin(), x_shape.end());
+    (void)shape.insert(shape.end(), x_shape.begin(), x_shape.end());
     auto axis_value = GetValue<int64_t>(axis);
     check_axis(axis_value, x_shape.size());
     if (keep_dims_value) {
       shape[axis_value] = 1;
     } else {
-      shape.erase(std::begin(shape) + axis_value);
+      (void)shape.erase(std::begin(shape) + axis_value);
     }
   };
   ShapeVector shape = {};
@@ -1122,7 +1122,7 @@ AbstractBasePtr InferImplArgMaxWithValue(const AnalysisEnginePtr &, const Primit
   ShapeVector x_shape = x->shape()->shape();
   ShapeVector x_min_shape = x->shape()->min_shape();
   ShapeVector x_max_shape = x->shape()->max_shape();
-  (void)CheckMinMaxShape(x_shape, &x_min_shape, &x_max_shape);
+  CheckMinMaxShape(x_shape, &x_min_shape, &x_max_shape);
   cal_shape(shape, x_shape);
   cal_shape(min_shape, x_min_shape);
   cal_shape(max_shape, x_max_shape);

mindspore/core/abstract/prim_nn.cc

@@ -382,7 +382,7 @@ AbstractBasePtr InferImplBiasAdd(const AnalysisEnginePtr &, const PrimitivePtr &
     MS_LOG(EXCEPTION) << "BiasAdd shape error, data format is " << data_format
                       << ", got bias_shape[0]: " << bias_shape[0] << ", x_channel: " << x_channel << ".";
   }
-  (void)CheckMinMaxShape(x_shape, &x_min_shape, &x_max_shape);
+  CheckMinMaxShape(x_shape, &x_min_shape, &x_max_shape);
   return std::make_shared<AbstractTensor>(x->element(), std::make_shared<Shape>(x_shape, x_min_shape, x_max_shape));
 }
 
@@ -537,7 +537,7 @@ AbstractBasePtr InferImplDropout(const AnalysisEnginePtr &, const PrimitivePtr &
   ShapeVector shape = x->shape()->shape();
   ShapeVector min_shape = x->shape()->min_shape();
   ShapeVector max_shape = x->shape()->max_shape();
-  (void)CheckMinMaxShape(shape, &min_shape, &max_shape);
+  CheckMinMaxShape(shape, &min_shape, &max_shape);
   auto output_shape =
     std::make_shared<AbstractTensor>(x->element(), std::make_shared<Shape>(shape, min_shape, max_shape));
   AbstractBasePtrList ret = {output_shape, output_shape};