Change 1D attribute Tensors for scalar Tensors and use compound assignment...

Context

See aidge_core!273 (merged) related to aidge_core#207 (closed)

Change 1D attribute Tensors for scalar Tensors and use compound assignment operators on 'Parameter' to avoid reset of 'mGrad' attribute.

unit_tests/optimizer/Test_SGD.cpp

@@ -9,13 +9,15 @@
  *
  ********************************************************************************/
 
-#include <catch2/catch_test_macros.hpp>
 #include <cstddef>  // std::size_t
 #include <memory>
 #include <random>   // std::random_device, std::mt19937, std::uniform_int_distribution
 #include <set>
 #include <vector>
 
+#include <catch2/catch_test_macros.hpp>
+#include <fmt/core.h>
+
 #include "aidge/data/Tensor.hpp"
 #include "aidge/backend/cpu/data/TensorImpl.hpp"
 #include "aidge/learning/learningRate/LRScheduler.hpp"
@@ -81,9 +83,7 @@ TEST_CASE("[learning/SGD] update", "[Optimizer][SGD]") {
                 tensors[i] = std::make_shared<Tensor>(dims);
                 tensors[i]->setBackend("cpu");
                 tensors[i]->getImpl()->setRawPtr(val_tensors[i].get(), size_tensors[i]);
-                optim_tensors[i] = std::make_shared<Tensor>(dims);
-                optim_tensors[i]->setBackend("cpu");
-                optim_tensors[i]->getImpl()->copy(val_tensors[i].get(), size_tensors[i]);
+                optim_tensors[i] = std::make_shared<Tensor>(tensors[i]->clone());
                 // optim_tensors[i]->initGrad();
 
                 grad_tensors[i] = std::make_shared<Tensor>(dims);