diff options
Diffstat (limited to 'src/backends/backendsCommon/test')
-rw-r--r-- | src/backends/backendsCommon/test/CMakeLists.txt | 1 | ||||
-rw-r--r-- | src/backends/backendsCommon/test/ReshapeEndToEndTestImpl.hpp | 91 |
2 files changed, 92 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/test/CMakeLists.txt b/src/backends/backendsCommon/test/CMakeLists.txt index d833caa3fe..881e4d6e18 100644 --- a/src/backends/backendsCommon/test/CMakeLists.txt +++ b/src/backends/backendsCommon/test/CMakeLists.txt @@ -49,6 +49,7 @@ list(APPEND armnnBackendsCommonUnitTests_sources QuantizedLstmEndToEndTestImpl.cpp QuantizedLstmEndToEndTestImpl.hpp RankEndToEndTestImpl.hpp + ReshapeEndToEndTestImpl.hpp ResizeEndToEndTestImpl.hpp RuntimeTestImpl.hpp SpaceToDepthEndToEndTestImpl.cpp diff --git a/src/backends/backendsCommon/test/ReshapeEndToEndTestImpl.hpp b/src/backends/backendsCommon/test/ReshapeEndToEndTestImpl.hpp new file mode 100644 index 0000000000..4cefb6d352 --- /dev/null +++ b/src/backends/backendsCommon/test/ReshapeEndToEndTestImpl.hpp @@ -0,0 +1,91 @@ +// +// Copyright © 2022 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// +#pragma once + +#include <armnn/INetwork.hpp> + +#include <CommonTestUtils.hpp> +#include <ResolveType.hpp> + +#include <doctest/doctest.h> + +namespace +{ + +template<typename armnn::DataType DataType> +armnn::INetworkPtr CreateReshapeNetwork(const armnn::TensorShape& inputShape, + const armnn::TensorShape& outputShape, + const armnn::ReshapeDescriptor& descriptor, + const float qScale = 1.0f, + const int32_t qOffset = 0) +{ + using namespace armnn; + + INetworkPtr network(INetwork::Create()); + + TensorInfo inputTensorInfo(inputShape, DataType, qScale, qOffset, true); + TensorInfo outputTensorInfo(outputShape, DataType, qScale, qOffset); + + + IConnectableLayer* reshape = network->AddReshapeLayer(descriptor, "reshape"); + IConnectableLayer* input = network->AddInputLayer(0, "input"); + IConnectableLayer* output = network->AddOutputLayer(0, "output"); + + Connect(input, reshape, inputTensorInfo, 0, 0); + Connect(reshape, output, outputTensorInfo, 0, 0); + + return network; +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +void ReshapeEndToEnd(const std::vector<armnn::BackendId>& backends) +{ + using namespace armnn; + + const TensorShape& inputShape = { 2, 3 }; + const TensorShape& outputShape = { 6 }; + + ReshapeDescriptor descriptor; + descriptor.m_TargetShape = outputShape; + + INetworkPtr network = CreateReshapeNetwork<ArmnnType>(inputShape, outputShape, descriptor); + + CHECK(network); + + std::vector<T> data{ 1, 2, 3, + 4, 5, 6 }; + + std::map<int, std::vector<T>> inputTensorData = { { 0, data } }; + std::map<int, std::vector<T>> expectedOutputData = { { 0, data } }; + + EndToEndLayerTestImpl<ArmnnType, ArmnnType>(std::move(network), inputTensorData, expectedOutputData, backends); +} + +template<armnn::DataType ArmnnType> +void ReshapeEndToEndFloat16(const std::vector<armnn::BackendId>& backends) +{ + using namespace armnn; + using namespace half_float::literal; + using Half = half_float::half; + + const TensorShape& inputShape = { 2, 3 }; + const TensorShape& outputShape = { 6 }; + + ReshapeDescriptor descriptor; + descriptor.m_TargetShape = outputShape; + + INetworkPtr network = CreateReshapeNetwork<ArmnnType>(inputShape, outputShape, descriptor); + CHECK(network); + + std::vector<Half> data{ 1._h, 2._h, 3._h, + 4._h, 5._h, 6._h }; + + std::map<int, std::vector<Half>> inputTensorData = { { 0, data } }; + std::map<int, std::vector<Half>> expectedOutputData = { { 0, data } }; + + EndToEndLayerTestImpl<ArmnnType, ArmnnType>(std::move(network), inputTensorData, expectedOutputData, backends); +} + +} // anonymous namespace |