ConvertBf16ToFp32TestImpl.hpp File Reference

#include <armnnTestUtils/LayerTestResult.hpp>
#include <BFloat16.hpp>
#include <armnn/backends/IBackendInternal.hpp>
#include <armnn/backends/WorkloadFactory.hpp>

Go to the source code of this file.

Functions
LayerTestResult< float, 4 >	ConvertBf16ToFp32Test (armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)

Function Documentation

ConvertBf16ToFp32Test()

LayerTestResult<float, 4> ConvertBf16ToFp32Test	(	armnn::IWorkloadFactory &	workloadFactory,
		const armnn::IBackendInternal::IMemoryManagerSharedPtr &	memoryManager,
		const armnn::ITensorHandleFactory &	tensorHandleFactory
	)

Definition at line 13 of file ConvertBf16ToFp32TestImpl.cpp.

References armnn::BFloat16, armnn::ConvertBf16ToFp32, CopyDataFromITensorHandle(), CopyDataToITensorHandle(), ITensorHandleFactory::CreateTensorHandle(), IWorkloadFactory::CreateWorkload(), armnn::Float32, and armnn::IgnoreUnused().

Referenced by TEST_SUITE().

{
    IgnoreUnused(memoryManager);

    const armnn::TensorInfo inputTensorInfo({1, 3, 2, 3}, armnn::DataType::BFloat16);
    const armnn::TensorInfo outputTensorInfo({1, 3, 2, 3}, armnn::DataType::Float32);

    std::vector<armnn::BFloat16> inputValues = armnnUtils::QuantizedVector<armnn::BFloat16>(
        {
            -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f,
            1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f
        },
        1.0f, 0);

    std::vector<float> actualOutput(outputTensorInfo.GetNumElements());
    std::vector<float> expectedOutput =
        {
            -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f,
            1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f
        };

    std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo);
    std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);

    armnn::ConvertBf16ToFp32QueueDescriptor data;
    armnn::WorkloadInfo info;
    AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());
    AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());

    std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateWorkload(armnn::LayerType::ConvertBf16ToFp32,
                                                                                data,
                                                                                info);

    inputHandle->Allocate();
    outputHandle->Allocate();

    CopyDataToITensorHandle(inputHandle.get(), inputValues.data());

    workload->Execute();

    CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get());

    return LayerTestResult<float, 4>(actualOutput,
                                     expectedOutput,
                                     outputHandle->GetShape(),
                                     outputTensorInfo.GetShape());
}