[Upd] test names, [Rmv] Makefile, [Change] IONb_t for IOIndex_t

Makefile

-# This makefile does nothing but delegating the actual building to cmake
-BUILDDIR := build
-MAKEFLAGS := --no-print-directory
-
-all: cpu_with_pybind
-
-cpu_only:
-	mkdir -p ${BUILDDIR}; \
-	cd ${BUILDDIR}; \
-	cmake -DBUILD_CPU_ALONE=ON -DCMAKE_BUILD_TYPE=Release -DPYBIND=OFF -DTESTS=OFF ..; \
-	${MAKE} ${MAKEFLAGS};
-
-cpu_tests:
-	mkdir -p ${BUILDDIR}; \
-	cd ${BUILDDIR}; \
-	cmake -DBUILD_CPU_ALONE=ON -DCMAKE_BUILD_TYPE=Debug -DPYBIND=OFF -DTESTS=ON ..; \
-	${MAKE} ${MAKEFLAGS}; \
-	cd tests; \
-	ctest --output-on-failure || true;
-
-cpu_with_pybind:
-	mkdir -p ${BUILDDIR}; \
-	cd ${BUILDDIR}; \
-	cmake -DBUILD_CPU_ALONE=ON -DCMAKE_BUILD_TYPE=Release -DPYBIND=ON -DTESTS=OFF ..; \
-	${MAKE} ${MAKEFLAGS};
-
-cpu_with_pybind_tests:
-	mkdir -p ${BUILDDIR}; \
-	cd ${BUILDDIR}; \
-	cmake -DBUILD_CPU_ALONE=ON -DCMAKE_BUILD_TYPE=Debug -DPYBIND=ON -DTESTS=ON ..; \
-	${MAKE} ${MAKEFLAGS}; \
-	cd tests; \
-	ctest --output-on-failure || true;
-
-clean:
-	if [ -d "${BUILDDIR}" ]; then rm -rf ${BUILDDIR}; fi
\ No newline at end of file

src/operator/FCImpl.cpp

@@ -59,7 +59,7 @@ Aidge::NbElts_t Aidge::FCImpl_cpu::getRequiredMemory(
 
 Aidge::NbElts_t Aidge::FCImpl_cpu::getNbConsumedData(Aidge::IOIndex_t inputIdx) const
 {
-    assert((inputIdx >= 0) && (static_cast<IONb_t>(inputIdx) < mNbConsumedData.size()));
+    assert((inputIdx != gk_IODefaultIndex) && (inputIdx < mNbConsumedData.size()));
     return mNbConsumedData[static_cast<std::size_t>(inputIdx)];
 }
 

unit_tests/Test_Scheduler.cpp

@@ -23,7 +23,7 @@
 using namespace Aidge;
 
 
-TEST_CASE("[aidge/_CPU/scheduler] SequentialScheduler(forward)") {
+TEST_CASE("[cpu/scheduler] SequentialScheduler(forward)") {
     std::shared_ptr<Tensor> inputTensor =
             std::make_shared<Tensor>(Array4D<int, 2, 1, 5, 5>{{{{{0, 1, 2, 3, 4},
                                                                  {5, 6, 7, 8, 9},

unit_tests/operator/Test_AddImpl.cpp

@@ -18,7 +18,7 @@
 
 using namespace Aidge;
 
-TEST_CASE("[aidge/_CPU/operator] Add(forward)") {
+TEST_CASE("[cpu/operator] Add(forward)") {
     std::shared_ptr<Tensor> input1 = std::make_shared<Tensor>(Array4D<int,3,3,3,2> { 
         {
             {

unit_tests/operator/Test_AvgPoolingImpl.cpp

@@ -20,7 +20,7 @@
 
 using namespace Aidge;
 
-TEST_CASE("[aidge/_CPU/operator] AvgPooling(forward)") {
+TEST_CASE("[cpu/operator] AvgPooling(forward)") {
     std::shared_ptr<Tensor> myInput = std::make_shared<Tensor>(Array4D<float,2,2,5,5> { //NCHW
         {
             {

unit_tests/operator/Test_BatchNormImpl.cpp

@@ -19,7 +19,7 @@
 
 using namespace Aidge;
 
-TEST_CASE("[aidge/_CPU/operator] BatchNorm(forward)") {
+TEST_CASE("[cpu/operator] BatchNorm(forward)") {
     std::shared_ptr<Node> myBatchNorm = BatchNorm<2>(0.00001F, 0.1F, "mybatchnorm");
     myBatchNorm->getOperator()->setDatatype(DataType::Float32);
     myBatchNorm->getOperator()->setBackend("cpu");

unit_tests/operator/Test_ConvDepthWiseImpl.cpp

@@ -19,7 +19,7 @@
 
 using namespace Aidge;
 
-TEST_CASE("[aidge/_CPU/operator] ConvDepthWise(forward)") {
+TEST_CASE("[cpu/operator] ConvDepthWise(forward)") {
     std::shared_ptr<Node> myCDW = ConvDepthWise({3,3}, "mycdw");
     myCDW->getOperator()->setDatatype(DataType::Int32);
     myCDW->getOperator()->setBackend("cpu");

unit_tests/operator/Test_ConvImpl.cpp

@@ -20,7 +20,7 @@
 
 using namespace Aidge;
 
-TEST_CASE("[aidge/_CPU/operator] Conv(forward)") {
+TEST_CASE("[cpu/operator] Conv(forward)") {
     SECTION("Classic Conv") {
         std::shared_ptr<Node> myConv = Conv(3,4,{3,3}, "myconv");
         myConv->getOperator()->setDatatype(DataType::Int32);

unit_tests/operator/Test_FCImpl.cpp

@@ -19,7 +19,7 @@
 
 using namespace Aidge;
 
-TEST_CASE("[aidge/_CPU/oeprator] FC(forward)") {
+TEST_CASE("[cpu/oeprator] FC(forward)") {
     std::shared_ptr<Tensor> myWeights = std::make_shared<Tensor>(Array2D<int, 5, 75>{
             {{1,  2,  3,  4,  5,  6,  7,  8,  9,  10, 11, 12, 13, 14, 15, 1,  2,  3,  4,
               5,  6,  7,  8,  9,  10, 11, 12, 13, 14, 15, 1,  2,  3,  4,  5,  6,  7,  8,

unit_tests/operator/Test_LeakyReLUImpl.cpp

@@ -18,7 +18,7 @@
 
 using namespace Aidge;
 
-TEST_CASE("[aidge/_CPU/operator] LeakyReLU(forward)") {
+TEST_CASE("[cpu/operator] LeakyReLU(forward)") {
     SECTION("1D Tensor") {
         std::shared_ptr<Tensor> input0 = std::make_shared<Tensor>(Array1D<int,10> {
             {0, 1, 2,-3, 4,-5,-6, 7, 8, 9}

unit_tests/operator/Test_ReLUImpl.cpp

@@ -21,7 +21,7 @@
 
 using namespace Aidge;
 
-TEST_CASE("[aidge/_CPU/operator] ReLU(forward)") {
+TEST_CASE("[cpu/operator] ReLU(forward)") {
     SECTION("1D Tensor") {
         std::shared_ptr<Tensor> input0 = std::make_shared<Tensor>(Array1D<int,10> {
             {0, 1, 2,-3, 4,-5,-6, 7, 8, 9}

unit_tests/operator/Test_SoftmaxImpl.cpp

@@ -20,7 +20,7 @@
 
 using namespace Aidge;
 
-TEST_CASE("[aidge/_CPU/operator] Softmax(forward)") {
+TEST_CASE("[cpu/operator] Softmax(forward)") {
     SECTION("2D Tensor") {
         std::shared_ptr<Tensor> input = std::make_shared<Tensor>(Array2D<float,2,10> {
             {