[Rmv] fuseBatchNorm test from core as it needs an implementation

unit_tests/recipies/Test_FuseBatchNorm.cpp

-/********************************************************************************
- * Copyright (c) 2023 CEA-List
- *
- * This program and the accompanying materials are made available under the
- * terms of the Eclipse Public License 2.0 which is available at
- * http://www.eclipse.org/legal/epl-2.0.
- *
- * SPDX-License-Identifier: EPL-2.0
- *
- ********************************************************************************/
-/*
-#include <catch2/catch_test_macros.hpp>
-#include <set>
-
-
-//#include "aidge/backend/cpu/operator/BatchNormImpl.hpp"
-//#include "aidge/backend/cpu/operator/ConvImpl.hpp"
-
-
-
-#include "aidge/operator/Conv.hpp"
-#include "aidge/operator/GenericOperator.hpp"
-#include "aidge/operator/Producer.hpp"
-#include "aidge/graph/OpArgs.hpp"
-#include "aidge/operator/BatchNorm.hpp"
-#include "aidge/utils/Recipies.hpp"
-
-//#include "aidge/backend/TensorImpl.hpp"
-//#include "aidge/backend/cpu.hpp"
-//#include "aidge/"
-
-#include <cstddef>
-
-
-namespace Aidge {
-
-
-    TEST_CASE("[FuseBatchNorm] conv") {
-        auto g1 = Sequential({
-            Producer({16, 3, 224, 224}, "dataProvider"),
-            Conv(3, 32, {3, 3}, "conv1"),
-            BatchNorm<2>()
-        });
-
-        g1->setDataType(DataType::Float32);
-        g1->setBackend("cpu");
-        g1->forwardDims();
-
-        // std::set<std::string> availableBackends = Tensor::getAvailableBackends();
-        // if (availableBackends.find("cpu") != availableBackends.end()){
-        //     g1->setBackend("cpu");
-        //     newTensor->getImpl()->setRawPtr(static_cast<T*>(info.ptr));
-        // }else{
-        //     printf("Warning : Could not use aidge_cpu backend, verify you have `import aidge_cpu`\n");
-        // }
-
-       fuseBatchNorm(g1);
-
-        SECTION("Check resulting nodes") {
-            // REQUIRE(g1->getNodes().size() == 2);
-            // REQUIRE(g2->getNode("conv1")->getOperator()->type() == "MaxPooling");
-            // REQUIRE(g2->getNode("conv1")->getOperator()->getRawOutput(0) == g2->getNode("conv2")->getOperator()->getRawInput(0));
-            // REQUIRE(g2->getNode("conv2")->getOperator()->type() == "MaxPooling");
-            // REQUIRE(g2->getNode("conv2")->getOperator()->getRawOutput(0) == g2->getNode("conv3")->getOperator()->getRawInput(0));
-            // REQUIRE(g2->getNode("conv3")->getOperator()->type() == "MaxPooling");
-        }
-    }
-
-}
-*/
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