Tweak order of arena parameter in OnnxRuntime::execute

Author: mcimadamore

cr-examples/onnx/src/main/java/oracle/code/onnx/OnnxRuntime.java

@@ -132,10 +132,10 @@ protected CachedModel computeValue(Class<?> type) {
     private static final CachedModelClassValue MODEL_CACHE = new CachedModelClassValue();
 
     public static <T> Tensor<T> execute(MethodHandles.Lookup l, OnnxFunction<Tensor<T>> codeLambda) {
-        return execute(l, codeLambda, Arena.ofAuto());
+        return execute(l, Arena.ofAuto(), codeLambda);
     }
 
-    public static <T> Tensor<T> execute(MethodHandles.Lookup l, OnnxFunction<Tensor<T>> codeLambda, Arena sessionArena) {
+    public static <T> Tensor<T> execute(MethodHandles.Lookup l, Arena sessionArena, OnnxFunction<Tensor<T>> codeLambda) {
         var q = Op.ofQuotable(codeLambda).orElseThrow();
 
         var model = MODEL_CACHE.computeIfAbsent(codeLambda.getClass(), l, q);

cr-examples/onnx/src/test/java/oracle/code/onnx/mnist/MNISTDemo.java

@@ -110,8 +110,8 @@ public static float[] classify(float[] imageData) {
         try (Arena arena = Arena.ofConfined()) {
             var imageTensor = Tensor.ofShape(new long[]{1, 1, IMAGE_SIZE, IMAGE_SIZE}, imageData);
 
-            var predictionTensor = OnnxRuntime.execute(MethodHandles.lookup(),
-                    () -> cnn(imageTensor), arena);
+            var predictionTensor = OnnxRuntime.execute(MethodHandles.lookup(), arena,
+                    () -> cnn(imageTensor));
 
             return predictionTensor.data().toArray(ValueLayout.JAVA_FLOAT);
         }