23 template<armnn::DataType ArmnnType,
typename T = armnn::ResolveType<ArmnnType>>
35 if (armnn::IsQuantizedType<T>())
38 inputTensorInfo.SetQuantizationOffset(128);
39 alphaTensorInfo.SetQuantizationScale(0.25f);
40 alphaTensorInfo.SetQuantizationOffset(50);
41 outputTensorInfo.SetQuantizationScale(0.5f);
42 outputTensorInfo.SetQuantizationOffset(120);
45 std::vector<float> inputData
49 0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, -1.0f, -1.0f, -1.0f, -2.0f, -2.0f, -2.0f
51 std::vector<float> alphaData
57 std::vector<float> outputExpectedData =
61 0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, 0.0f, -1.0f, -2.0f, 0.0f, -2.0f, -4.0f
64 auto input = MakeTensor<T, 4>(inputTensorInfo,
65 armnnUtils::QuantizedVector<T>(inputData,
66 inputTensorInfo.GetQuantizationScale(),
67 inputTensorInfo.GetQuantizationOffset()));
69 auto alpha = MakeTensor<T, 4>(alphaTensorInfo,
70 armnnUtils::QuantizedVector<T>(alphaData,
71 alphaTensorInfo.GetQuantizationScale(),
72 alphaTensorInfo.GetQuantizationOffset()));
76 MakeTensor<T, 4>(outputTensorInfo,
77 armnnUtils::QuantizedVector<T>(outputExpectedData,
78 outputTensorInfo.GetQuantizationScale(),
79 outputTensorInfo.GetQuantizationOffset()));
81 std::unique_ptr <armnn::ITensorHandle> inputHandle = tensorHandleFactory.
CreateTensorHandle(inputTensorInfo);
82 std::unique_ptr <armnn::ITensorHandle> alphaHandle = tensorHandleFactory.
CreateTensorHandle(alphaTensorInfo);
83 std::unique_ptr <armnn::ITensorHandle> outputHandle = tensorHandleFactory.
CreateTensorHandle(outputTensorInfo);
87 AddInputToWorkload (descriptor, info, inputTensorInfo, inputHandle.get());
88 AddInputToWorkload (descriptor, info, alphaTensorInfo, alphaHandle.get());
89 AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());
91 std::unique_ptr<armnn::IWorkload> workload = workloadFactory.
CreatePrelu(descriptor, info);
93 inputHandle->Allocate();
94 alphaHandle->Allocate();
95 outputHandle->Allocate();
boost::multi_array< T, n > outputExpected
LayerTestResult< T, 4 > PreluTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)
void IgnoreUnused(Ts &&...)
std::shared_ptr< IMemoryManager > IMemoryManagerSharedPtr
void SetQuantizationScale(float scale)
void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)
boost::multi_array< T, n > output
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)
virtual std::unique_ptr< IWorkload > CreatePrelu(const PreluQueueDescriptor &descriptor, const WorkloadInfo &info) const