[upd] functions to follow Tensor member function updated names

src/utils/Utils.cpp

@@ -72,7 +72,7 @@ std::shared_ptr<Aidge::Tensor> Aidge::tensorOpencv(cv::Mat mat) {
     tensor->setDataType(CVtoAidge(mat.depth()));
 
     // Cast the tensorImpl to access setCvMat function
-    TensorImpl_opencv_* tImpl_opencv = dynamic_cast<TensorImpl_opencv_*>(tensor->getImpl().get());
+    TensorImpl_opencv_* tImpl_opencv = dynamic_cast<TensorImpl_opencv_*>(tensor->impl().get());
     tImpl_opencv->setCvMat(mat);
     return tensor;
 }

unit_tests/Test_Stimulus.cpp

@@ -32,7 +32,7 @@ TEST_CASE("Stimulus creation", "[Stimulus][OpenCV]") {
         // // Create Stimulus
         // Stimulus stimg("/data1/is156025/tb256203/dev/eclipse_aidge/aidge/user_tests/train-images-idx3-ubyte[00001].pgm", true);
         // stimg.setBackend("opencv");
-        
+
         //  Generate random matrix and save it
         std::vector<cv::Mat> channels;
         cv::Mat true_mat;
@@ -57,7 +57,7 @@ TEST_CASE("Stimulus creation", "[Stimulus][OpenCV]") {
         tensor_load = stimg.load();
 
         // Access the cv::Mat with the tensor
-        TensorImpl_opencv_* tImpl_opencv = dynamic_cast<TensorImpl_opencv_*>(tensor_load->getImpl().get());
+        TensorImpl_opencv_* tImpl_opencv = dynamic_cast<TensorImpl_opencv_*>(tensor_load->impl().get());
         auto mat_tensor = tImpl_opencv->data();
 
         // Check the dimensions
@@ -71,7 +71,7 @@ TEST_CASE("Stimulus creation", "[Stimulus][OpenCV]") {
 
         // Check the elements
         for (size_t i = 0; i < channels_tensor.size(); ++i) {
-            REQUIRE(cv::countNonZero(channels_tensor[i] != channels[i]) == 0);   
+            REQUIRE(cv::countNonZero(channels_tensor[i] != channels[i]) == 0);
         }
 
         // This time the tensor is already loaded in memory
@@ -79,7 +79,7 @@ TEST_CASE("Stimulus creation", "[Stimulus][OpenCV]") {
         tensor_load_2 = stimg.load();
 
         // Access the cv::Mat with the tensor
-        TensorImpl_opencv_* tImpl_opencv_2 = dynamic_cast<TensorImpl_opencv_*>(tensor_load_2->getImpl().get());
+        TensorImpl_opencv_* tImpl_opencv_2 = dynamic_cast<TensorImpl_opencv_*>(tensor_load_2->impl().get());
         auto mat_tensor_2 = tImpl_opencv_2->data();
 
         // Check the dimensions
@@ -93,7 +93,7 @@ TEST_CASE("Stimulus creation", "[Stimulus][OpenCV]") {
 
         // Check the elements
         for (size_t i = 0; i < channels_tensor_2.size(); ++i) {
-            REQUIRE(cv::countNonZero(channels_tensor_2[i] != channels[i]) == 0);   
+            REQUIRE(cv::countNonZero(channels_tensor_2[i] != channels[i]) == 0);
         }
     }
 }

unit_tests/Test_StimulusImpl_opencv_imread.cpp

@@ -33,7 +33,7 @@ TEST_CASE("StimulusImpl_opencv_imread creation", "[StimulusImpl_opencv_imread][O
         // // Create StimulusImpl_opencv_imread
         // // StimulusImpl_opencv_imread stImpl("/data1/is156025/tb256203/dev/eclipse_aidge/aidge/user_tests/Lenna.png");
         // StimulusImpl_opencv_imread stImpl("/data1/is156025/tb256203/dev/eclipse_aidge/aidge/user_tests/train-images-idx3-ubyte[00001].pgm");
-        
+
          //  Generate random matrix and save it
         std::vector<cv::Mat> channels;
         cv::Mat true_mat;
@@ -58,7 +58,7 @@ TEST_CASE("StimulusImpl_opencv_imread creation", "[StimulusImpl_opencv_imread][O
         tensor_load = stImpl.load();
 
         // Access the cv::Mat with the tensor
-        TensorImpl_opencv_* tImpl_opencv = dynamic_cast<TensorImpl_opencv_*>(tensor_load->getImpl().get());
+        TensorImpl_opencv_* tImpl_opencv = dynamic_cast<TensorImpl_opencv_*>(tensor_load->impl().get());
         auto mat_tensor = tImpl_opencv->data();
 
         // Check the dimensions
@@ -72,7 +72,7 @@ TEST_CASE("StimulusImpl_opencv_imread creation", "[StimulusImpl_opencv_imread][O
 
         // Check the elements
         for (size_t i = 0; i < channels_tensor.size(); ++i) {
-            REQUIRE(cv::countNonZero(channels_tensor[i] != channels[i]) == 0);   
+            REQUIRE(cv::countNonZero(channels_tensor[i] != channels[i]) == 0);
         }
     }
 }

unit_tests/Test_TensorImpl.cpp

@@ -70,16 +70,16 @@ TEST_CASE("Tensor creation opencv", "[Tensor][OpenCV]") {
         }
 
         SECTION("OpenCV tensor features") {
-            REQUIRE(static_cast<TensorImpl_opencv<int>*>(x.getImpl().get())->data().rows == 2);
-            REQUIRE(static_cast<TensorImpl_opencv<int>*>(x.getImpl().get())->data().cols == 2);
-            REQUIRE(static_cast<TensorImpl_opencv<int>*>(x.getImpl().get())->data().dims == 2);
-            REQUIRE(static_cast<TensorImpl_opencv<int>*>(x.getImpl().get())->data().total() == 4);
-            REQUIRE(static_cast<TensorImpl_opencv<int>*>(x.getImpl().get())->data().channels() == 2);
+            REQUIRE(static_cast<TensorImpl_opencv<int>*>(x.impl().get())->data().rows == 2);
+            REQUIRE(static_cast<TensorImpl_opencv<int>*>(x.impl().get())->data().cols == 2);
+            REQUIRE(static_cast<TensorImpl_opencv<int>*>(x.impl().get())->data().dims == 2);
+            REQUIRE(static_cast<TensorImpl_opencv<int>*>(x.impl().get())->data().total() == 4);
+            REQUIRE(static_cast<TensorImpl_opencv<int>*>(x.impl().get())->data().channels() == 2);
         }
 
         SECTION("Access to array") {
-            REQUIRE(static_cast<int*>(x.getImpl()->rawPtr())[0] == 1);
-            REQUIRE(static_cast<int*>(x.getImpl()->rawPtr())[7] == 8);
+            REQUIRE(static_cast<int*>(x.impl()->rawPtr())[0] == 1);
+            REQUIRE(static_cast<int*>(x.impl()->rawPtr())[7] == 8);
         }
 
         SECTION("get function") {

unit_tests/Tests_Utils.cpp

@@ -64,10 +64,10 @@ TEMPLATE_TEST_CASE("Opencv Utils", "[Utils][OpenCV]", signed char, unsigned char
             REQUIRE(mat.rows == tensorOcv->dims()[0]);
             REQUIRE(mat.cols == tensorOcv->dims()[1]);
             REQUIRE(mat.channels() == tensorOcv->dims()[2]);
-            
+
 
             //Get the matrix inside the tensor
-            TensorImpl_opencv_* tImpl_opencv = dynamic_cast<TensorImpl_opencv_*>(tensorOcv->getImpl().get());
+            TensorImpl_opencv_* tImpl_opencv = dynamic_cast<TensorImpl_opencv_*>(tensorOcv->impl().get());
             auto mat_tensor = tImpl_opencv->data();
             // Split the mat from tensor opencv into channels
             std::vector<cv::Mat> channels_split;
@@ -79,7 +79,7 @@ TEMPLATE_TEST_CASE("Opencv Utils", "[Utils][OpenCV]", signed char, unsigned char
             tensorCpu.setDataFormat(DataFormat::CHW);
 
             // Get the cpu ptr of the converted tensor
-            auto cpu_ptr = static_cast<TestType*>(tensorCpu.getImpl()->rawPtr());
+            auto cpu_ptr = static_cast<TestType*>(tensorCpu.impl()->rawPtr());
 
             // Compare the tensor cpu values with the cv mat in an elementwise fashion
             // Loop over channels