22 std::vector<armnn::BFloat16> inputValues = armnnUtils::QuantizedVector<armnn::BFloat16>(
24 -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f,
25 1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f
29 auto input = MakeTensor<armnn::BFloat16, 4>(inputTensorInfo, std::vector<armnn::BFloat16>(inputValues));
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 = workloadFactory.
CreateTensorHandle(inputTensorInfo);
37 std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.
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 > ConvertBf16ToFp32Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)
boost::multi_array< T, n > outputExpected
void IgnoreUnused(Ts &&...)
virtual std::unique_ptr< IWorkload > CreateConvertBf16ToFp32(const ConvertBf16ToFp32QueueDescriptor &descriptor, const WorkloadInfo &info) const
std::shared_ptr< IMemoryManager > IMemoryManagerSharedPtr
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
Contains information about inputs and outputs to a layer.
void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)