support negative axis with tuple type

mindspore/ccsrc/backend/kernel_compiler/cpu/reduce_cpu_kernel.cc

@@ -39,6 +39,7 @@ void ReduceCPUKernel::InitKernel(const CNodePtr &kernel_node) {
   }
   shape_ = AnfAlgo::GetInputDeviceShape(kernel_node, 0);
   auto axis_addr = AnfAlgo::GetCNodePrimitive(kernel_node)->GetAttr(AXIS);
+
   if (axis_addr->isa<ValueTuple>()) {
     auto attr_axis = AnfAlgo::GetNodeAttr<std::vector<int>>(kernel_node, AXIS);
     if (attr_axis.size() > shape_.size()) {
@@ -47,18 +48,24 @@ void ReduceCPUKernel::InitKernel(const CNodePtr &kernel_node) {
       axis_.push_back(shape_.size() - 1);
     } else {
       for (auto axis : attr_axis) {
+        while (axis < 0) {
+          axis += SizeToInt(shape_.size());
+        }
         if (IntToSize(axis) >= (shape_.size())) {
           MS_LOG(EXCEPTION) << "axis value is oversize.";
         }
-        axis < 0 ? axis_.push_back(axis + shape_.size()) : axis_.push_back(axis);
+        axis_.push_back(IntToSize(axis));
       }
     }
   } else if (axis_addr->isa<Int32Imm>()) {
     int axis = AnfAlgo::GetNodeAttr<int>(kernel_node, AXIS);
-    if (axis >= 0 && IntToSize(axis) >= shape_.size()) {
+    while (axis < 0) {
+      axis += SizeToInt(shape_.size());
+    }
+    if (IntToSize(axis) >= shape_.size()) {
       MS_LOG(EXCEPTION) << "axis value is oversize.";
     }
-    axis < 0 ? axis_.push_back(axis + shape_.size()) : axis_.push_back(axis);
+    axis_.push_back(IntToSize(axis));
   } else {
     MS_LOG(EXCEPTION) << "Attribute axis type is invalid.";
   }