added test for both shape initializations

unit_tests/operator/Test_ReshapeImpl.cpp

@@ -20,56 +20,109 @@ using namespace Aidge;
 
 TEST_CASE("[cpu/operator] Reshape(forward)") {
     SECTION("1D Tensor") {
-        std::shared_ptr<Tensor> input = std::make_shared<Tensor>(Array1D<float,6> {
-            {1.0, 2.0, 3.0, 4.0, 5.0, 6.0}
-        });
-        std::shared_ptr<Tensor> shape = std::make_shared<Tensor>(Array1D<float,2> {
-            {2, 3}
-        });
-        std::shared_ptr<Tensor> expectedOutput = std::make_shared<Tensor>(Array2D<float,2,3> {
-            {
-                {1.0, 2.0, 3.0},
-                {4.0, 5.0, 6.0}
-            }
-        });
+        SECTION("Shape As Input") {
+            std::shared_ptr<Tensor> input = std::make_shared<Tensor>(Array1D<float,6> {
+                {1.0, 2.0, 3.0, 4.0, 5.0, 6.0}
+            });
+            std::shared_ptr<Tensor> shape = std::make_shared<Tensor>(Array1D<float,2> {
+                {2, 3}
+            });
+            std::shared_ptr<Tensor> expectedOutput = std::make_shared<Tensor>(Array2D<float,2,3> {
+                {
+                    {1.0, 2.0, 3.0},
+                    {4.0, 5.0, 6.0}
+                }
+            });
 
-        std::shared_ptr<Node> myReshape = Reshape();
-        auto op = std::static_pointer_cast<OperatorTensor>(myReshape -> getOperator());
-        op->associateInput(0, input);
-        op->associateInput(1, shape);
-        op->setDataType(DataType::Float32);
-        op->setBackend("cpu");
-        myReshape->forward();
+            std::shared_ptr<Node> myReshape = Reshape();
+            auto op = std::static_pointer_cast<OperatorTensor>(myReshape -> getOperator());
+            op->associateInput(0, input);
+            op->associateInput(1, shape);
+            op->setDataType(DataType::Float32);
+            op->setBackend("cpu");
+            myReshape->forward();
 
-        REQUIRE(*(op->getOutput(0)) == *expectedOutput);
+            REQUIRE(*(op->getOutput(0)) == *expectedOutput);
+        }
+        SECTION("Shape As Input") {
+            std::shared_ptr<Tensor> input = std::make_shared<Tensor>(Array1D<float,6> {
+                {1.0, 2.0, 3.0, 4.0, 5.0, 6.0}
+            });
+            std::shared_ptr<Tensor> expectedOutput = std::make_shared<Tensor>(Array2D<float,2,3> {
+                {
+                    {1.0, 2.0, 3.0},
+                    {4.0, 5.0, 6.0}
+                }
+            });
+
+            std::shared_ptr<Node> myReshape = Reshape({2, 3});
+            auto op = std::static_pointer_cast<OperatorTensor>(myReshape -> getOperator());
+            op->associateInput(0, input);
+            // TODO find a way to avoid connecting an empty tensor
+            op->associateInput(1, std::make_shared<Tensor>(Tensor({})));
+            op->setDataType(DataType::Float32);
+            op->setBackend("cpu");
+            myReshape->forward();
+
+            REQUIRE(*(op->getOutput(0)) == *expectedOutput);
+        }
     }
-    SECTION("2D Tensor") {
-        std::shared_ptr<Tensor> input = std::make_shared<Tensor>(Array2D<float,2,3> {
-            {
-                {1.0, 2.0, 3.0},
-                {4.0, 5.0, 6.0}
-            }
+    SECTION("2D Tensor - Shape Input") {
+        SECTION("Shape As Input") {
+            std::shared_ptr<Tensor> input = std::make_shared<Tensor>(Array2D<float,2,3> {
+                {
+                    {1.0, 2.0, 3.0},
+                    {4.0, 5.0, 6.0}
+                }
+
+            });
+            std::shared_ptr<Tensor> shape = std::make_shared<Tensor>(Array1D<float,2> {
+                {3, 2}
+            });
+            std::shared_ptr<Tensor> expectedOutput = std::make_shared<Tensor>(Array2D<float,3,2> {
+                {
+                    {1.0, 2.0},
+                    {3.0, 4.0},
+                    {5.0, 6.0}
+                }
+            });
+
+            std::shared_ptr<Node> myReshape = Reshape();
+            auto op = std::static_pointer_cast<OperatorTensor>(myReshape -> getOperator());
+            op->associateInput(0, input);
+            op->associateInput(1, shape);
+            op->setDataType(DataType::Float32);
+            op->setBackend("cpu");
+            myReshape->forward();
+
+            REQUIRE(*(op->getOutput(0)) == *expectedOutput);
+        }
+        SECTION("Shape As Attribute") {
+            std::shared_ptr<Tensor> input = std::make_shared<Tensor>(Array2D<float,2,3> {
+                {
+                    {1.0, 2.0, 3.0},
+                    {4.0, 5.0, 6.0}
+                }
 
-        });
-        std::shared_ptr<Tensor> shape = std::make_shared<Tensor>(Array1D<float,2> {
-            {3, 2}
-        });
-        std::shared_ptr<Tensor> expectedOutput = std::make_shared<Tensor>(Array2D<float,3,2> {
-            {
-                {1.0, 2.0},
-                {3.0, 4.0},
-                {5.0, 6.0}
-            }
-        });
+            });
+            std::shared_ptr<Tensor> expectedOutput = std::make_shared<Tensor>(Array2D<float,3,2> {
+                {
+                    {1.0, 2.0},
+                    {3.0, 4.0},
+                    {5.0, 6.0}
+                }
+            });
 
-        std::shared_ptr<Node> myReshape = Reshape();
-        auto op = std::static_pointer_cast<OperatorTensor>(myReshape -> getOperator());
-        op->associateInput(0, input);
-        op->associateInput(1, shape);
-        op->setDataType(DataType::Float32);
-        op->setBackend("cpu");
-        myReshape->forward();
+            std::shared_ptr<Node> myReshape = Reshape({3, 2});
+            auto op = std::static_pointer_cast<OperatorTensor>(myReshape -> getOperator());
+            op->associateInput(0, input);
+            // TODO find a way to avoid connecting an empty tensor
+            op->associateInput(1, std::make_shared<Tensor>(Tensor({})));
+            op->setDataType(DataType::Float32);
+            op->setBackend("cpu");
+            myReshape->forward();
 
-        REQUIRE(*(op->getOutput(0)) == *expectedOutput);
+            REQUIRE(*(op->getOutput(0)) == *expectedOutput);
+        }
     }
 }
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