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,
53 inputTensorInfo.SetQuantizationOffset(quantOffset);
55 outputTensorInfo.SetQuantizationScale(outQuantScale);
56 outputTensorInfo.SetQuantizationOffset(outQuantOffset);
58 auto input = MakeTensor<T, NumDims>(inputTensorInfo, ConvertToDataType<ArmnnType>(values, inputTensorInfo));
62 std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.
CreateTensorHandle(inputTensorInfo);
63 std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.
CreateTensorHandle(outputTensorInfo);
69 AddInputToWorkload(qDesc, info, inputTensorInfo, inputHandle.get());
70 AddOutputToWorkload(qDesc, info, outputTensorInfo, outputHandle.get());
73 inputHandle->Allocate();
74 outputHandle->Allocate();
78 workload->PostAllocationConfigure();
79 ExecuteWorkload(*workload, memoryManager);
83 ret.
outputExpected = MakeTensor<T, NumDims>(outputTensorInfo, ConvertToDataType<ArmnnType>(outValues,
88 template <std::size_t NumDims,
95 const unsigned int shape[NumDims],
96 std::vector<float> values,
97 const unsigned int outShape[NumDims],
98 std::vector<float> outValues,
100 float quantScale = 1.0f,
103 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)
boost::multi_array< T, n > output
A ElementwiseUnaryDescriptor for the ElementwiseUnaryLayer.
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, const armnn::ITensorHandleFactory &tensorHandleFactory, float outQuantScale, int outQuantOffset)
Contains information about inputs and outputs to a layer.
virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo) const =0
void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)