fix batchnorm and softmax tests

unit_tests/operator/Test_BatchNormImpl.cpp

@@ -20,7 +20,7 @@
 using namespace Aidge;
 
 TEST_CASE("[cpu/operator] BatchNorm(forward)", "[BatchNorm][CPU]") {
-    std::shared_ptr<Node> myBatchNorm = BatchNorm<2>(0.00001F, 0.1F, "mybatchnorm");
+    std::shared_ptr<Node> myBatchNorm = BatchNorm<2>(3, 0.00001F, 0.1F, "mybatchnorm");
     auto op = std::static_pointer_cast<OperatorTensor>(myBatchNorm -> getOperator());
     std::shared_ptr<Tensor> myWeights = std::make_shared<Tensor>(Array1D<float,3> {{0.9044, 0.3028, 0.0218}});
     std::shared_ptr<Tensor> myBias = std::make_shared<Tensor>(Array1D<float,3> {{0.1332, 0.7503, 0.0878}});

unit_tests/operator/Test_SoftmaxImpl.cpp

@@ -39,7 +39,7 @@ TEST_CASE("[cpu/operator] Softmax(forward)", "[Softmax][CPU]") {
             }
         });
 
-        std::shared_ptr<Node> mySoftmax = Softmax();
+        std::shared_ptr<Node> mySoftmax = Softmax(1);
         auto op = std::static_pointer_cast<OperatorTensor>(mySoftmax -> getOperator());
         mySoftmax->getOperator()->associateInput(0,input);
         mySoftmax->getOperator()->setDataType(DataType::Float32);
@@ -108,7 +108,7 @@ TEST_CASE("[cpu/operator] Softmax(forward)", "[Softmax][CPU]") {
             }
         });
 
-        std::shared_ptr<Node> mySoftmax = Softmax();
+        std::shared_ptr<Node> mySoftmax = Softmax(1);
         auto op = std::static_pointer_cast<OperatorTensor>(mySoftmax -> getOperator());
         mySoftmax->getOperator()->associateInput(0,input);
         mySoftmax->getOperator()->setDataType(DataType::Float32);