22 using namespace half_float::literal;
27 auto input = MakeTensor<armnn::Half, 4>(inputTensorInfo,
28 { -37.5_h, -15.2_h, -8.76_h, -2.0_h, -1.5_h, -1.3_h, -0.5_h, -0.4_h, 0.0_h,
29 1.0_h, 0.4_h, 0.5_h, 1.3_h, 1.5_h, 2.0_h, 8.76_h, 15.2_h, 37.5_h });
32 ret.outputExpected = MakeTensor<float, 4>(outputTensorInfo,
33 { -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f,
34 1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f });
36 std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.
CreateTensorHandle(inputTensorInfo);
37 std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.
CreateTensorHandle(outputTensorInfo);
41 AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());
42 AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());
46 inputHandle->Allocate();
47 outputHandle->Allocate();
LayerTestResult< float, 4 > SimpleConvertFp16ToFp32Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)
void IgnoreUnused(Ts &&...)
std::shared_ptr< IMemoryManager > IMemoryManagerSharedPtr
void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)
Contains information about inputs and outputs to a layer.
virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo) const =0
virtual std::unique_ptr< IWorkload > CreateConvertFp16ToFp32(const ConvertFp16ToFp32QueueDescriptor &descriptor, const WorkloadInfo &info) const
void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)