add forwardDims unit tests for And operator

unit_tests/operator/Test_AndImpl.cpp

@@ -10,6 +10,7 @@
  ********************************************************************************/
 
 #include <catch2/catch_test_macros.hpp>
+#include <random>    // std::random_device, std::mt19937, std::uniform_real_distribution
 
 #include "aidge/data/Tensor.hpp"
 #include "aidge/operator/And.hpp"
@@ -19,6 +20,86 @@
 using namespace Aidge;
 
 TEST_CASE("[cpu/operator] And(forward)", "[And][CPU]") {
+        SECTION("ForwardDims")
+    {
+        constexpr std::uint16_t NBTRIALS = 10;
+        // Create a random number generator
+        std::random_device rd;
+        std::mt19937 gen(rd());
+        std::uniform_real_distribution<float> valueDist(0.1f, 1.1f); // Random float distribution between 0 and 1
+        std::uniform_int_distribution<std::size_t> dimSizeDist(std::size_t(2), std::size_t(10));
+        std::uniform_int_distribution<std::size_t> nbDimsDist(std::size_t(1), std::size_t(5));
+        std::uniform_int_distribution<int> boolDist(0,1);
+
+        SECTION("Same dimensions") {
+            for (std::uint16_t trial = 0; trial < NBTRIALS; ++trial) {
+                DimSize_t nbDims = nbDimsDist(gen);
+                std::vector<DimSize_t> dims(nbDims);
+                for (std::size_t i = 0; i < nbDims; i++) {
+                    dims[i] = dimSizeDist(gen);
+                }
+
+                std::shared_ptr<Tensor> myInput1 = std::make_shared<Tensor>(dims);
+                myInput1->setBackend("cpu");
+                myInput1->setDataType(DataType::Float32);
+                myInput1->zeros();
+                std::shared_ptr<Tensor> myInput2 = std::make_shared<Tensor>(dims);
+                myInput2->setBackend("cpu");
+                myInput2->setDataType(DataType::Float32);
+                myInput2->zeros();
+                std::shared_ptr<Node> myAnd = And();
+                auto op = std::static_pointer_cast<OperatorTensor>(myAnd -> getOperator());
+                op->associateInput(0,myInput1);
+                op->associateInput(1,myInput2);
+                op->setDataType(DataType::Float32);
+                op->setBackend("cpu");
+                op->forwardDims();
+
+                const auto outputDims = op->getOutput(0)->dims();
+                REQUIRE(outputDims == dims);
+            }
+        }
+        SECTION("Broadcasting") {
+            for (std::uint16_t trial = 0; trial < NBTRIALS; ++trial) {
+                DimSize_t nbDims = nbDimsDist(gen);
+                std::vector<DimSize_t> dims1(nbDims, 1);
+                std::vector<DimSize_t> dims2(nbDims, 1);
+                std::vector<DimSize_t> expectedOutDims;
+                std::uniform_int_distribution<int> boolDist(0,1);
+                for (std::size_t i = 0; i < nbDims; i++) {
+                    DimSize_t dim = dimSizeDist(gen);
+                    if (boolDist(gen)) {
+                        dims1[i] = dim;
+                    }
+                    if (boolDist(gen)) {
+                        dims2[i] = dim;
+                    }
+                    expectedOutDims.push_back(std::max(dims1[i],dims2[i]));
+                }
+
+
+                std::shared_ptr<Tensor> myInput1 = std::make_shared<Tensor>(dims1);
+                myInput1->setBackend("cpu");
+                myInput1->setDataType(DataType::Float32);
+                myInput1->zeros();
+                std::shared_ptr<Tensor> myInput2 = std::make_shared<Tensor>(dims2);
+                myInput2->setBackend("cpu");
+                myInput2->setDataType(DataType::Float32);
+                myInput2->zeros();
+                std::shared_ptr<Node> myAnd = And();
+                auto op = std::static_pointer_cast<OperatorTensor>(myAnd -> getOperator());
+                op->associateInput(0,myInput1);
+                op->associateInput(1,myInput2);
+                op->setDataType(DataType::Float32);
+                op->setBackend("cpu");
+
+                op->forwardDims();
+
+                const auto outputDims = op->getOutput(0)->dims();
+                REQUIRE(outputDims == expectedOutDims);
+            }
+        }
+    }
     SECTION("Same size inputs") {
         std::shared_ptr<Tensor> input1 = std::make_shared<Tensor>(Array4D<int,3,3,3,2> {
         {                                       //