diff options
Diffstat (limited to 'src/backends/backendsCommon/test')
| -rw-r--r-- | src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp | 29 | ||||
| -rw-r--r-- | src/backends/backendsCommon/test/LayerTests.cpp | 231 | ||||
| -rw-r--r-- | src/backends/backendsCommon/test/LayerTests.hpp | 203 |
3 files changed, 204 insertions, 259 deletions
diff --git a/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp b/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp index fa6ec1000b..ff632fc701 100644 --- a/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp +++ b/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp @@ -633,5 +633,34 @@ bool IsMeanLayerSupportedTests(std::string& reasonIfUnsupported) return result; } +// Tests that IsMeanSupported fails when input tensor dimensions +// do not match output tensor dimensions when keepDims == true +template<typename FactoryType, armnn::DataType InputDataType , armnn::DataType OutputDataType> +bool IsMeanLayerNotSupportedTests(std::string& reasonIfUnsupported) +{ + armnn::Graph graph; + static const std::vector<unsigned> axes = {}; + // Set keepDims == true + armnn::MeanDescriptor desc(axes, true); + + armnn::Layer* const layer = graph.AddLayer<armnn::MeanLayer>(desc, "LayerName"); + + armnn::Layer* const input = graph.AddLayer<armnn::InputLayer>(0, "input"); + armnn::Layer* const output = graph.AddLayer<armnn::OutputLayer>(0, "output"); + + // Mismatching number of tensor dimensions + armnn::TensorInfo inputTensorInfo({1, 1, 1, 1}, InputDataType); + armnn::TensorInfo outputTensorInfo({1, 1}, OutputDataType); + + input->GetOutputSlot(0).Connect(layer->GetInputSlot(0)); + input->GetOutputHandler(0).SetTensorInfo(inputTensorInfo); + layer->GetOutputSlot(0).Connect(output->GetInputSlot(0)); + layer->GetOutputHandler(0).SetTensorInfo(outputTensorInfo); + + bool result = FactoryType::IsLayerSupported(*layer, InputDataType, reasonIfUnsupported); + + return result; +} + } //namespace diff --git a/src/backends/backendsCommon/test/LayerTests.cpp b/src/backends/backendsCommon/test/LayerTests.cpp index 9d40197776..55e799e1be 100644 --- a/src/backends/backendsCommon/test/LayerTests.cpp +++ b/src/backends/backendsCommon/test/LayerTests.cpp @@ -8368,237 +8368,6 @@ LayerTestResult<float, 4> PermuteFloat32ValueSet3Test( return PermuteFloat32ValueSet3TestCommon(workloadFactory, memoryManager); }; -namespace -{ - -template <typename T, std::size_t InputDim, std::size_t OutputDim> -LayerTestResult<T, OutputDim> MeanTestHelper( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, - const unsigned int* inputShape, - const std::vector<T>& inputData, - const std::vector<unsigned int>& axis, - bool keepDims, - const unsigned int* outputShape, - const std::vector<T>& outputData, - float scale = 1.0f, - int32_t offset = 0) -{ - auto dataType = (std::is_same<T, uint8_t>::value ? armnn::DataType::QuantisedAsymm8 : armnn::DataType::Float32); - - armnn::TensorInfo inputTensorInfo(InputDim, inputShape, dataType); - armnn::TensorInfo outputTensorInfo(OutputDim, outputShape, dataType); - - inputTensorInfo.SetQuantizationScale(scale); - inputTensorInfo.SetQuantizationOffset(offset); - - outputTensorInfo.SetQuantizationScale(scale); - outputTensorInfo.SetQuantizationOffset(offset); - - auto input = MakeTensor<T, InputDim>(inputTensorInfo, inputData); - - LayerTestResult<T, OutputDim> result(outputTensorInfo); - result.outputExpected = MakeTensor<T, OutputDim>(outputTensorInfo, outputData); - - std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); - std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); - - armnn::MeanQueueDescriptor data; - data.m_Parameters.m_Axis = axis; - data.m_Parameters.m_KeepDims = keepDims; - armnn::WorkloadInfo info; - AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); - AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); - - std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMean(data, info); - - inputHandle->Allocate(); - outputHandle->Allocate(); - - CopyDataToITensorHandle(inputHandle.get(), input.origin()); - - workload->PostAllocationConfigure(); - workload->Execute(); - - CopyDataFromITensorHandle(result.output.origin(), outputHandle.get()); - - return result; -} - -} // anonymous namespace - -LayerTestResult<uint8_t, 1> MeanUint8SimpleTest( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - const unsigned int inputShape[] = { 3, 2 }; - const unsigned int outputShape[] = { 1 }; - - std::vector<uint8_t> input({ 1, 1, 2, 2, 3, 3 }); - std::vector<uint8_t> output({ 2 }); - - return MeanTestHelper<uint8_t, 2, 1>( - workloadFactory, memoryManager, inputShape, input, {}, false, outputShape, output); -} - -LayerTestResult<uint8_t, 3> MeanUint8SimpleAxisTest( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - const unsigned int inputShape[] = { 1, 1, 3, 2 }; - const unsigned int outputShape[] = { 1, 1, 2 }; - - std::vector<uint8_t> input({ 1, 1, 2, 2, 3, 3 }); - std::vector<uint8_t> output({ 2, 2 }); - - return MeanTestHelper<uint8_t, 4, 3>( - workloadFactory, memoryManager, inputShape, input, { 2 }, false, outputShape, output); -} - -LayerTestResult<uint8_t, 4> MeanUint8KeepDimsTest( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - const unsigned int inputShape[] = { 1, 1, 3, 2 }; - const unsigned int outputShape[] = { 1, 1, 1, 2 }; - - std::vector<uint8_t> input({ 1, 1, 2, 2, 3, 3 }); - std::vector<uint8_t> output({ 2, 2 }); - - return MeanTestHelper<uint8_t, 4, 4>( - workloadFactory, memoryManager, inputShape, input, { 2 }, true, outputShape, output); -} - -LayerTestResult<uint8_t, 4> MeanUint8MultipleDimsTest( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - const unsigned int inputShape[] = { 2, 3, 1, 2 }; - const unsigned int outputShape[] = { 1, 3, 1, 1 }; - - std::vector<uint8_t> input({ 1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6 }); - std::vector<uint8_t> output({ 1, 3, 5 }); - - return MeanTestHelper<uint8_t, 4, 4>( - workloadFactory, memoryManager, inputShape, input, { 0, 3 }, true, outputShape, output); -} - -LayerTestResult<uint8_t, 1> MeanVtsUint8Test( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - const unsigned int inputShape[] = { 4, 3, 2 }; - const unsigned int outputShape[] = { 2 }; - - std::vector<uint8_t> input({ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, - 24 }); - std::vector<uint8_t> output({ 12, 13 }); - - return MeanTestHelper<uint8_t, 3, 1>(workloadFactory, memoryManager, - inputShape, input, { 0, 1 }, false, outputShape, - output, 0.8f, 5); -} - -LayerTestResult<float, 1> MeanFloatSimpleTest( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - const unsigned int inputShape[] = { 3, 2 }; - const unsigned int outputShape[] = { 1 }; - - std::vector<float> input({ 1.0f, 1.0f, 2.0f, 2.0f, 3.0f, 3.0f }); - std::vector<float> output({ 2.0f }); - - return MeanTestHelper<float, 2, 1>( - workloadFactory, memoryManager, inputShape, input, {}, false, outputShape, output); -} - -LayerTestResult<float, 3> MeanFloatSimpleAxisTest( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - const unsigned int inputShape[] = { 2, 3, 1, 2 }; - const unsigned int outputShape[] = { 3, 1, 2 }; - - std::vector<float> input({ 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f }); - std::vector<float> output({ 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f }); - - return MeanTestHelper<float, 4, 3>( - workloadFactory, memoryManager, inputShape, input, { 0 }, false, outputShape, output); -} - -LayerTestResult<float, 4> MeanFloatKeepDimsTest( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - const unsigned int inputShape[] = { 1, 1, 3, 2 }; - const unsigned int outputShape[] = { 1, 1, 1, 2 }; - - std::vector<float> input({ 1.0f, 1.0f, 2.0f, 2.0f, 3.0f, 3.0f }); - std::vector<float> output({ 2.0f, 2.0f }); - - return MeanTestHelper<float, 4, 4>( - workloadFactory, memoryManager, inputShape, input, { 2 }, true, outputShape, output); -} - -LayerTestResult<float, 4> MeanFloatMultipleDimsTest( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - const unsigned int inputShape[] = { 2, 3, 1, 2 }; - const unsigned int outputShape[] = { 1, 3, 1, 1 }; - - std::vector<float> input({ 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f }); - std::vector<float> output({ 1.5f, 3.5f, 5.5f }); - - return MeanTestHelper<float, 4, 4>( - workloadFactory, memoryManager, inputShape, input, { 0, 3 }, true, outputShape, output); -} - -LayerTestResult<float, 1> MeanVtsFloat1Test( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - const unsigned int inputShape[] = { 4, 3, 2 }; - const unsigned int outputShape[] = { 2 }; - - std::vector<float> input({ 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, - 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f }); - std::vector<float> output({ 12.0f, 13.0f }); - - return MeanTestHelper<float, 3, 1>( - workloadFactory, memoryManager, inputShape, input, { 0, 1 }, false, outputShape, output); -} - -LayerTestResult<float, 3> MeanVtsFloat2Test( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - const unsigned int inputShape[] = { 4, 3, 2 }; - const unsigned int outputShape[] = { 1, 3, 1 }; - - std::vector<float> input({ 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, - 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f }); - std::vector<float> output({ 10.5f, 12.5f, 14.5f }); - - return MeanTestHelper<float, 3, 3>( - workloadFactory, memoryManager, inputShape, input, { 0, 2 }, true, outputShape, output); -} - -LayerTestResult<float, 3> MeanVtsFloat3Test( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - const unsigned int inputShape[] = { 1, 2, 2, 1 }; - const unsigned int outputShape[] = { 1, 2, 1 }; - - std::vector<float> input({ 1.0f, 2.0f, 3.0f, 4.0f }); - std::vector<float> output({ 1.5f, 3.5f }); - - return MeanTestHelper<float, 4, 3>( - workloadFactory, memoryManager, inputShape, input, { 2 }, false, outputShape, output); -} - LayerTestResult<float, 4> AdditionAfterMaxPoolTest( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) diff --git a/src/backends/backendsCommon/test/LayerTests.hpp b/src/backends/backendsCommon/test/LayerTests.hpp index 3eed189c1b..fab1ad83c1 100644 --- a/src/backends/backendsCommon/test/LayerTests.hpp +++ b/src/backends/backendsCommon/test/LayerTests.hpp @@ -1448,51 +1448,38 @@ LayerTestResult<int16_t, 4> MaximumBroadcast1DVectorInt16Test( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); -LayerTestResult<uint8_t, 1> MeanUint8SimpleTest( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); - -LayerTestResult<uint8_t, 3> MeanUint8SimpleAxisTest( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); - -LayerTestResult<uint8_t, 4> MeanUint8KeepDimsTest( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); - -LayerTestResult<uint8_t, 4> MeanUint8MultipleDimsTest( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); - -LayerTestResult<uint8_t, 1> MeanVtsUint8Test( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); - -LayerTestResult<float, 1> MeanFloatSimpleTest( +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 1> MeanSimpleTest( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); -LayerTestResult<float, 3> MeanFloatSimpleAxisTest( +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 3> MeanSimpleAxisTest( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); -LayerTestResult<float, 4> MeanFloatKeepDimsTest( +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 4> MeanKeepDimsTest( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); -LayerTestResult<float, 4> MeanFloatMultipleDimsTest( +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 4> MeanMultipleDimsTest( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); -LayerTestResult<float, 1> MeanVtsFloat1Test( +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 1> MeanVts1Test( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); -LayerTestResult<float, 3> MeanVtsFloat2Test( +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 3> MeanVts2Test( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); -LayerTestResult<float, 3> MeanVtsFloat3Test( +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 3> MeanVts3Test( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); @@ -2912,4 +2899,164 @@ template LayerTestResult<typename armnn::ResolveType<armnn::DataType::QuantisedA ResizeBilinearMagTest<armnn::DataType::QuantisedAsymm8>( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, - const armnn::DataLayout dataLayout);
\ No newline at end of file + const armnn::DataLayout dataLayout); + +template<armnn::DataType ArmnnType, typename T, std::size_t InputDim, std::size_t OutputDim> +LayerTestResult<T, OutputDim> MeanTestHelper( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const unsigned int* inputShape, + const std::vector<float>& inputData, + const std::vector<unsigned int>& axis, + bool keepDims, + const unsigned int* outputShape, + const std::vector<float>& outputData, + float scale = 1.0f, + int32_t offset = 0) +{ + armnn::TensorInfo inputTensorInfo(InputDim, inputShape, ArmnnType); + armnn::TensorInfo outputTensorInfo(OutputDim, outputShape, ArmnnType); + + inputTensorInfo.SetQuantizationScale(scale); + inputTensorInfo.SetQuantizationOffset(offset); + + outputTensorInfo.SetQuantizationScale(scale); + outputTensorInfo.SetQuantizationOffset(offset); + + auto input = MakeTensor<T, InputDim>(inputTensorInfo, ConvertToDataType<ArmnnType>(inputData, inputTensorInfo)); + + LayerTestResult<T, OutputDim> result(outputTensorInfo); + result.outputExpected = MakeTensor<T, OutputDim>( + outputTensorInfo, ConvertToDataType<ArmnnType>(outputData, outputTensorInfo)); + + std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); + std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); + + armnn::MeanQueueDescriptor data; + data.m_Parameters.m_Axis = axis; + data.m_Parameters.m_KeepDims = keepDims; + armnn::WorkloadInfo info; + AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); + AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); + + std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMean(data, info); + + inputHandle->Allocate(); + outputHandle->Allocate(); + + CopyDataToITensorHandle(inputHandle.get(), input.origin()); + + workload->PostAllocationConfigure(); + workload->Execute(); + + CopyDataFromITensorHandle(result.output.origin(), outputHandle.get()); + + return result; +} + +template<armnn::DataType ArmnnType, typename T> +LayerTestResult<T, 1> MeanSimpleTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = { 3, 2 }; + const unsigned int outputShape[] = { 1 }; + + std::vector<float> input({ 1.5f, 1.5f, 2.5f, 2.5f, 3.5f, 3.5f }); + std::vector<float> output({ 2.5f }); + + return MeanTestHelper<ArmnnType, T, 2, 1>( + workloadFactory, memoryManager, inputShape, input, {}, false, outputShape, output); +} + +template<armnn::DataType ArmnnType, typename T> +LayerTestResult<T, 3> MeanSimpleAxisTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = { 2, 3, 1, 2 }; + const unsigned int outputShape[] = { 3, 1, 2 }; + + std::vector<float> input({ 1.5f, 2.5f, 3.5f, 4.5f, 5.5f, 6.5f, 1.5f, 2.5f, 3.5f, 4.5f, 5.5f, 6.5f }); + std::vector<float> output({ 1.5f, 2.5f, 3.5f, 4.5f, 5.5f, 6.5f }); + + return MeanTestHelper<ArmnnType, T, 4, 3>( + workloadFactory, memoryManager, inputShape, input, { 0 }, false, outputShape, output); +} + +template<armnn::DataType ArmnnType, typename T> +LayerTestResult<T, 4> MeanKeepDimsTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = { 1, 1, 3, 2 }; + const unsigned int outputShape[] = { 1, 1, 1, 2 }; + + std::vector<float> input({ 1.5f, 1.5f, 2.5f, 2.5f, 3.5f, 3.5f }); + std::vector<float> output({ 2.5f, 2.5f }); + + return MeanTestHelper<ArmnnType, T, 4, 4>( + workloadFactory, memoryManager, inputShape, input, { 2 }, true, outputShape, output); +} + +template<armnn::DataType ArmnnType, typename T> +LayerTestResult<T, 4> MeanMultipleDimsTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = { 2, 3, 1, 2 }; + const unsigned int outputShape[] = { 1, 3, 1, 1 }; + + std::vector<float> input({ 1.5f, 2.5f, 3.5f, 4.5f, 5.5f, 6.5f, 1.5f, 2.5f, 3.5f, 4.5f, 5.5f, 6.5 }); + std::vector<float> output({ 2.0f, 4.0f, 6.0f }); + + return MeanTestHelper<ArmnnType, T, 4, 4>( + workloadFactory, memoryManager, inputShape, input, { 0, 3 }, true, outputShape, output); +} + +template<armnn::DataType ArmnnType, typename T> +LayerTestResult<T, 1> MeanVts1Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = { 4, 3, 2 }; + const unsigned int outputShape[] = { 2 }; + + std::vector<float> input({ 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, + 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f }); + std::vector<float> output({ 12.0f, 13.0f }); + + return MeanTestHelper<ArmnnType, T, 3, 1>( + workloadFactory, memoryManager, inputShape, input, { 0, 1 }, false, outputShape, output); +} + +template<armnn::DataType ArmnnType, typename T> +LayerTestResult<T, 3> MeanVts2Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = { 4, 3, 2 }; + const unsigned int outputShape[] = { 1, 3, 1 }; + + std::vector<float> input({ 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, + 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f }); + std::vector<float> output({ 10.5f, 12.5f, 14.5f }); + + return MeanTestHelper<ArmnnType, T, 3, 3>( + workloadFactory, memoryManager, inputShape, input, { 0, 2 }, true, outputShape, output); +} + +template<armnn::DataType ArmnnType, typename T> +LayerTestResult<T, 3> MeanVts3Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = { 1, 2, 2, 1 }; + const unsigned int outputShape[] = { 1, 2, 1 }; + + std::vector<float> input({ 1.0f, 2.0f, 3.0f, 4.0f }); + std::vector<float> output({ 1.5f, 3.5f }); + + return MeanTestHelper<ArmnnType, T, 4, 3>( + workloadFactory, memoryManager, inputShape, input, { 2 }, false, outputShape, output); +} |