diff options
Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/CastTestImpl.hpp')
| -rw-r--r-- | src/backends/backendsCommon/test/layerTests/CastTestImpl.hpp | 40 |
1 files changed, 39 insertions, 1 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/CastTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/CastTestImpl.hpp index a727950bb8..13512ad700 100644 --- a/src/backends/backendsCommon/test/layerTests/CastTestImpl.hpp +++ b/src/backends/backendsCommon/test/layerTests/CastTestImpl.hpp @@ -1,10 +1,12 @@ // -// Copyright © 2021 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2021, 2024 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // #pragma once +#include <backendsCommon/test/EndToEndTestImpl.hpp> + #include <armnnTestUtils/LayerTestResult.hpp> #include <ResolveType.hpp> @@ -82,3 +84,39 @@ LayerTestResult<uint8_t , 4> CastFloat32ToUInt82dTest( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, const armnn::ITensorHandleFactory& tensorHandleFactory); + +template<armnn::DataType inputDataType, armnn::DataType outputDataType, typename TInput, typename TOutput> +void CastSimpleTest(const std::vector<armnn::BackendId>& backends, + const std::vector<unsigned int>& shape, + const std::vector<TInput>& inputValues, + const std::vector<TOutput>& outputValues, + float qScale = 1.0f, + int32_t qOffset = 0) +{ + using namespace armnn; + + const TensorShape inputShape(static_cast<unsigned int>(shape.size()), shape.data()); + const TensorShape outputShape(static_cast<unsigned int>(shape.size()), shape.data()); + + TensorInfo inputTensorInfo(inputShape, inputDataType, qScale, qOffset, true); + TensorInfo outputTensorInfo(outputShape, outputDataType, qScale, qOffset); + + IRuntime::CreationOptions options; + IRuntimePtr runtime(IRuntime::Create(options)); + INetworkPtr network(INetwork::Create()); + + IConnectableLayer* input = network->AddInputLayer(0, "input"); + IConnectableLayer* castLayer = network->AddCastLayer("cast"); + IConnectableLayer* output = network->AddOutputLayer(0, "output"); + + Connect(input, castLayer, inputTensorInfo, 0, 0); + Connect(castLayer, output, outputTensorInfo, 0, 0); + + std::map<int, std::vector<TInput>> inputTensorData = {{ 0, inputValues }}; + std::map<int, std::vector<TOutput>> expectedOutputData = {{ 0, outputValues }}; + + EndToEndLayerTestImpl<inputDataType, outputDataType>(std::move(network), + inputTensorData, + expectedOutputData, + backends); +}
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