converted previous spatial bool to enum type in ONNX

src/include/migraph/operators.hpp

@@ -22,8 +22,6 @@ struct batch_norm_inference
 {
     float epsilon  = 1.0e-6f;
     float momentum = 0.9f;
-    bool spatial   = true;
-    bool is_test   = false;
 
     std::string name() const { return "batch_norm_inference"; }
 
@@ -35,6 +33,8 @@ struct batch_norm_inference
 
     bn_infer_mode_t bn_mode = spatial;
 
+    bool is_test = false;
+
     shape compute_shape(std::vector<shape> inputs) const
     {
         check_shapes{inputs, *this}.has(5);

src/onnx/onnx.cpp

@@ -173,7 +173,7 @@ struct onnx_parser
     {
         float epsilon                                 = 1e-5f;
         float momentum                                = 0.9f;
-        bool spatial   = true;
+        batch_norm_inference::bn_infer_mode_t bn_mode = batch_norm_inference::spatial;
         bool is_test                                  = false;
         if(contains(attributes, "epsilon"))
         {
@@ -189,9 +189,11 @@ struct onnx_parser
         }
         if(contains(attributes, "spatial"))
         {
-            spatial = (parse_value(attributes.at("spatial")).at<uint64_t>() > 0) ? true : false;
+            bn_mode = (parse_value(attributes.at("spatial")).at<uint64_t>() > 0)
+                          ? batch_norm_inference::spatial
+                          : batch_norm_inference::per_activation;
         }
-        batch_norm_inference op{epsilon, momentum, spatial, is_test};
+        batch_norm_inference op{epsilon, momentum, bn_mode, is_test};
         return prog.add_instruction(op, args);
     }