22 constexpr
unsigned int width = 2;
23 constexpr
unsigned int height = 3;
28 auto input = MakeTensor<float, 2>(tensorInfo, std::vector<float>({
36 std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.
CreateTensorHandle(tensorInfo);
37 std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.
CreateTensorHandle(tensorInfo);
42 AddInputToWorkload(data, info, tensorInfo, inputHandle.get());
43 AddOutputToWorkload(data, info, tensorInfo, outputHandle.get());
54 SetWorkloadOutput(refData, refInfo, 0, tensorInfo, &refHandle);
58 inputHandle->Allocate();
59 outputHandle->Allocate();
63 workload->PostAllocationConfigure();
68 ret.
outputExpected = MakeTensor<float, 2>(tensorInfo, std::vector<float>({
LayerTestResult< float, 2 > FakeQuantizationTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)
float m_Min
Minimum value.
boost::multi_array< T, n > outputExpected
virtual std::unique_ptr< IWorkload > CreateFakeQuantization(const FakeQuantizationQueueDescriptor &descriptor, const WorkloadInfo &info) const
void IgnoreUnused(Ts &&...)
LayerDescriptor m_Parameters
std::shared_ptr< IMemoryManager > IMemoryManagerSharedPtr
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
float m_Max
Maximum value.
void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)