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Diffstat (limited to 'src/backends/backendsCommon/test/AdditionEndToEndTestImpl.hpp')
| -rw-r--r-- | src/backends/backendsCommon/test/AdditionEndToEndTestImpl.hpp | 81 |
1 files changed, 81 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/test/AdditionEndToEndTestImpl.hpp b/src/backends/backendsCommon/test/AdditionEndToEndTestImpl.hpp new file mode 100644 index 0000000000..f1a93c7548 --- /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
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