32 template <std::size_t NumDims,
39 const unsigned int shape[NumDims],
40 std::vector<float> values,
43 const unsigned int outShape[NumDims],
44 std::vector<float> outValues,
52 inputTensorInfo.SetQuantizationOffset(quantOffset);
54 outputTensorInfo.SetQuantizationScale(outQuantScale);
55 outputTensorInfo.SetQuantizationOffset(outQuantOffset);
57 auto input = MakeTensor<T, NumDims>(inputTensorInfo, ConvertToDataType<ArmnnType>(values, inputTensorInfo));
61 std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.
CreateTensorHandle(inputTensorInfo);
62 std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.
CreateTensorHandle(outputTensorInfo);
68 AddInputToWorkload(qDesc, info, inputTensorInfo, inputHandle.get());
69 AddOutputToWorkload(qDesc, info, outputTensorInfo, outputHandle.get());
72 inputHandle->Allocate();
73 outputHandle->Allocate();
77 workload->PostAllocationConfigure();
78 ExecuteWorkload(*workload, memoryManager);
82 ret.
outputExpected = MakeTensor<T, NumDims>(outputTensorInfo, ConvertToDataType<ArmnnType>(outValues,
87 template <std::size_t NumDims,
94 const unsigned int shape[NumDims],
95 std::vector<float> values,
96 const unsigned int outShape[NumDims],
97 std::vector<float> outValues,
98 float quantScale = 1.0f,
101 return ElementwiseUnaryTestHelper<NumDims, ArmnnType>(
boost::multi_array< T, n > outputExpected
typename ResolveTypeImpl< DT >::Type ResolveType
LayerDescriptor m_Parameters
std::shared_ptr< IMemoryManager > IMemoryManagerSharedPtr
void SetQuantizationScale(float scale)
std::unique_ptr< armnn::IWorkload > CreateWorkload(const armnn::IWorkloadFactory &workloadFactory, const armnn::WorkloadInfo &info, const armnn::ElementwiseUnaryQueueDescriptor &descriptor)
void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)
virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo, const bool IsMemoryManaged=true) const =0
boost::multi_array< T, n > output
A ElementwiseUnaryDescriptor for the ElementwiseUnaryLayer.
Contains information about inputs and outputs to a layer.
LayerTestResult< T, NumDims > ElementwiseUnaryTestHelper(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, armnn::UnaryOperation op, const unsigned int shape[NumDims], std::vector< float > values, float quantScale, int quantOffset, const unsigned int outShape[NumDims], std::vector< float > outValues, float outQuantScale, int outQuantOffset)
void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)