IVGCVSW-7318 Support basic addition model in the TOSA Reference Backend
* Create Simple Addition EndtoEnd test
* Create EndToEndTest file in TosaRef/test directory
* Add AdditionEndToEnd test to CpuRef,CpuAcc,GpuAcc,TosaRef
Signed-off-by: Ryan OShea <ryan.oshea3@arm.com>
Change-Id: Ic44e2b457c25dcb41bb3b17c05cce0e74bf17a80
diff --git a/src/backends/backendsCommon/test/AdditionEndToEndTestImpl.hpp b/src/backends/backendsCommon/test/AdditionEndToEndTestImpl.hpp
new file mode 100644
index 0000000..f1a93c7
--- /dev/null
+++ b/src/backends/backendsCommon/test/AdditionEndToEndTestImpl.hpp
@@ -0,0 +1,81 @@
+//
+// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#pragma once
+
+#include <ResolveType.hpp>
+
+#include <armnn/INetwork.hpp>
+
+#include <doctest/doctest.h>
+#include <CommonTestUtils.hpp>
+
+namespace
+{
+
+template<typename armnn::DataType DataType>
+armnn::INetworkPtr CreateAdditionNetwork(const armnn::TensorShape& inputXShape,
+ const armnn::TensorShape& inputYShape,
+ const armnn::TensorShape& outputShape,
+ const float qScale = 1.0f,
+ const int32_t qOffset = 0)
+{
+ using namespace armnn;
+
+ INetworkPtr network(INetwork::Create());
+
+ TensorInfo inputXTensorInfo(inputXShape, DataType, qScale, qOffset, true);
+ TensorInfo inputYTensorInfo(inputYShape, DataType, qScale, qOffset, true);
+
+ TensorInfo outputTensorInfo(outputShape, DataType, qScale, qOffset);
+
+
+ IConnectableLayer* addition = network->AddAdditionLayer("addition");
+ IConnectableLayer* inputX = network->AddInputLayer(0, "inputX");
+ IConnectableLayer* inputY = network->AddInputLayer(1, "inputY");
+ IConnectableLayer* output = network->AddOutputLayer(0, "output");
+
+ Connect(inputX, addition, inputXTensorInfo, 0, 0);
+ Connect(inputY, addition, inputYTensorInfo, 0, 1);
+ Connect(addition, output, outputTensorInfo, 0, 0);
+
+ return network;
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+void AdditionEndToEnd(const std::vector<armnn::BackendId>& backends)
+{
+ using namespace armnn;
+
+ const TensorShape& inputXShape = { 2, 2, 2 };
+ const TensorShape& inputYShape = { 2, 2, 2 };
+ const TensorShape& outputShape = { 2, 2, 2 };
+
+ INetworkPtr network = CreateAdditionNetwork<ArmnnType>(inputXShape, inputYShape, outputShape);
+
+ CHECK(network);
+
+ std::vector<T> inputXData{ 1, 2,
+ 3, 4,
+
+ 9, 10,
+ 11, 12 };
+ std::vector<T> inputYData{ 5, 7,
+ 6, 8,
+
+ 13, 15,
+ 14, 16 };
+ std::vector<T> expectedOutput{ 6, 9,
+ 9, 12,
+
+ 22, 25,
+ 25, 28 };
+
+ std::map<int, std::vector<T>> inputTensorData = {{ 0, inputXData }, {1, inputYData}};
+ std::map<int, std::vector<T>> expectedOutputData = { { 0, expectedOutput } };
+
+ EndToEndLayerTestImpl<ArmnnType, ArmnnType>(std::move(network), inputTensorData, expectedOutputData, backends);
+}
+
+} // anonymous namespaceS
\ No newline at end of file