xref: /aosp_15_r20/external/armnn/src/backends/backendsCommon/test/layerTests/MinimumTestImpl.cpp (revision 89c4ff92f2867872bb9e2354d150bf0c8c502810)

//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//

#include "MinimumTestImpl.hpp"

#include "ElementwiseTestImpl.hpp"

template<>
std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::MinimumQueueDescriptor>(
    const armnn::IWorkloadFactory& workloadFactory,
    const armnn::WorkloadInfo& info,
    const armnn::MinimumQueueDescriptor& descriptor)
{
    return workloadFactory.CreateWorkload(armnn::LayerType::Minimum, descriptor, info);
}

LayerTestResult<float, 4> MinimumBroadcast1ElementTest1(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    IgnoreUnused(memoryManager);
    unsigned int shape0[] = { 1, 2, 2, 2 };
    unsigned int shape1[] = { 1, 1, 1, 1 };

    std::vector<float> input0 = { 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f };

    std::vector<float> input1 = { 2.f };

    std::vector<float> output = { 1.f, 2.f, 2.f, 2.f, 2.f, 2.f, 2.f, 2.f };

    return ElementwiseTestHelper<4, armnn::MinimumQueueDescriptor, armnn::DataType::Float32>(
        workloadFactory,
        memoryManager,
        shape0,
        input0,
        shape1,
        input1,
        shape0,
        output,
        tensorHandleFactory);
}

LayerTestResult<float, 4> MinimumBroadcast1ElementTest2(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    unsigned int shape0[] = { 1, 2, 2, 2 };
    unsigned int shape1[] = { 1, 1, 1, 1 };

    std::vector<float> input0 = { 1.f, 6.f, 3.f, 2.f, 8.f, 9.f, 1.f, 10.f };

    std::vector<float> input1 = { 5.f };

    std::vector<float> output = { 1.f, 5.f, 3.f, 2.f, 5.f, 5.f, 1.f, 5.f };

    return ElementwiseTestHelper<4, armnn::MinimumQueueDescriptor, armnn::DataType::Float32>(
        workloadFactory,
        memoryManager,
        shape0,
        input0,
        shape1,
        input1,
        shape0,
        output,
        tensorHandleFactory);
}

LayerTestResult<uint8_t, 4> MinimumBroadcast1DVectorUint8Test(
    armnn::IWorkloadFactory & workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    const unsigned int shape0[] = { 1, 2, 2, 3 };
    const unsigned int shape1[] = { 1, 1, 1, 3 };

    std::vector<uint8_t> input0 =
    {
        1, 2, 3, 3, 2, 1,
        7, 1, 2, 3, 4, 5
    };

    std::vector<uint8_t> input1 = { 1, 2, 3 };

    std::vector<uint8_t> output =
    {
        1, 2, 3, 1, 2, 1,
        1, 1, 2, 1, 2, 3
    };

    return ElementwiseTestHelper<4, armnn::MinimumQueueDescriptor, armnn::DataType::QAsymmU8>(
        workloadFactory,
        memoryManager,
        shape0,
        input0,
        shape1,
        input1,
        shape0,
        output,
        tensorHandleFactory);
}

LayerTestResult<armnn::Half, 4> MinimumFloat16Test(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    using namespace half_float::literal;

    unsigned int shape[] = { 2, 2, 2, 2 };

    std::vector<armnn::Half> input0 =
    {
        1._h, 1._h, 1._h, 1._h, 6._h, 6._h, 6._h, 6._h,
        3._h, 3._h, 3._h, 3._h, 4._h, 4._h, 4._h, 4._h
    };

    std::vector<armnn::Half> input1 =
    {
        2._h, 2._h, 2._h, 2._h, 3._h, 3._h, 3._h, 3._h,
        4._h, 4._h, 4._h, 4._h, 5._h, 5._h, 5._h, 5._h
    };

    std::vector<armnn::Half> output
    {
        1._h, 1._h, 1._h, 1._h, 3._h, 3._h, 3._h, 3._h,
        3._h, 3._h, 3._h, 3._h, 4._h, 4._h, 4._h, 4._h
    };

    return ElementwiseTestHelper<4, armnn::MinimumQueueDescriptor, armnn::DataType::Float16>(
        workloadFactory,
        memoryManager,
        shape,
        input0,
        shape,
        input1,
        shape,
        output,
        tensorHandleFactory);
}

LayerTestResult<armnn::Half, 4> MinimumBroadcast1ElementFloat16Test(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    using namespace half_float::literal;

    const unsigned int shape0[] = { 1, 2, 2, 3 };
    const unsigned int shape1[] = { 1, 1, 1, 1 };

    std::vector<armnn::Half> input0 =
    {
        1._h, 2._h, 3._h,  4._h,  5._h,  6._h,
        7._h, 8._h, 9._h, 10._h, 11._h, 12._h
    };

    std::vector<armnn::Half> input1 = { 2._h };

    std::vector<armnn::Half> output =
    {
        1._h, 2._h, 2._h, 2._h, 2._h, 2._h,
        2._h, 2._h, 2._h, 2._h, 2._h, 2._h
    };

    return ElementwiseTestHelper<4, armnn::MinimumQueueDescriptor, armnn::DataType::Float16>(
        workloadFactory,
        memoryManager,
        shape0,
        input0,
        shape1,
        input1,
        shape0,
        output,
        tensorHandleFactory);
}

LayerTestResult<armnn::Half, 4> MinimumBroadcast1DVectorFloat16Test(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    using namespace half_float::literal;
    const unsigned int shape0[] = { 1, 2, 2, 3 };
    const unsigned int shape1[] = { 1, 1, 1, 3 };

    std::vector<armnn::Half> input0 =
    {
        1._h, 2._h, 3._h,  4._h,  5._h,  6._h,
        7._h, 8._h, 9._h, 10._h, 11._h, 12._h
    };

    std::vector<armnn::Half> input1 = { 1._h, 10._h, 3._h };

    std::vector<armnn::Half> output =
    {
        1._h, 2._h, 3._h, 1._h,  5._h, 3._h,
        1._h, 8._h, 3._h, 1._h, 10._h, 3._h
    };

    return ElementwiseTestHelper<4, armnn::MinimumQueueDescriptor, armnn::DataType::Float16>(
        workloadFactory,
        memoryManager,
        shape0,
        input0,
        shape1,
        input1,
        shape0,
        output,
        tensorHandleFactory);
}

LayerTestResult<int16_t, 4> MinimumInt16Test(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    unsigned int shape[] = { 2, 2, 2, 2 };

    std::vector<int16_t> input0 =
    {
        1, 1, 1, 1, 6, 6, 6, 6,
        3, 3, 3, 3, 4, 4, 4, 4
    };

    std::vector<int16_t> input1 =
    {
        2, 2, 2, 2, 3, 3, 3, 3,
        4, 4, 4, 4, 5, 5, 5, 5
    };

    std::vector<int16_t> output
    {
        1, 1, 1, 1, 3, 3, 3, 3,
        3, 3, 3, 3, 4, 4, 4, 4
    };

    return ElementwiseTestHelper<4, armnn::MinimumQueueDescriptor, armnn::DataType::QSymmS16>(
        workloadFactory,
        memoryManager,
        shape,
        input0,
        shape,
        input1,
        shape,
        output,
        tensorHandleFactory);
}

LayerTestResult<int16_t, 4> MinimumBroadcast1ElementInt16Test(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    const unsigned int shape0[] = { 1, 2, 2, 3 };
    const unsigned int shape1[] = { 1, 1, 1, 1 };

    std::vector<int16_t> input0 =
    {
        1, 2, 3,  4,  5,  6,
        7, 8, 9, 10, 11, 12
    };

    std::vector<int16_t> input1 = { 2 };

    std::vector<int16_t> output =
    {
        1, 2, 2, 2, 2, 2,
        2, 2, 2, 2, 2, 2
    };

    return ElementwiseTestHelper<4, armnn::MinimumQueueDescriptor, armnn::DataType::QSymmS16>(
        workloadFactory,
        memoryManager,
        shape0,
        input0,
        shape1,
        input1,
        shape0,
        output,
        tensorHandleFactory);
}

LayerTestResult<int16_t, 4> MinimumBroadcast1DVectorInt16Test(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    const unsigned int shape0[] = { 1, 2, 2, 3 };
    const unsigned int shape1[] = { 1, 1, 1, 3 };

    std::vector<int16_t> input0 =
    {
        1, 2, 3,  4,  5,  6,
        7, 8, 9, 10, 11, 12
    };

    std::vector<int16_t> input1 = { 1, 10, 3 };

    std::vector<int16_t> output =
    {
        1, 2, 3, 1,  5, 3,
        1, 8, 3, 1, 10, 3
    };

    return ElementwiseTestHelper<4, armnn::MinimumQueueDescriptor, armnn::DataType::QSymmS16>(
        workloadFactory,
        memoryManager,
        shape0,
        input0,
        shape1,
        input1,
        shape0,
        output,
        tensorHandleFactory);
}

LayerTestResult<int32_t, 4> MinimumInt32Test(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    unsigned int shape[] = { 2, 2, 2, 2 };

    std::vector<int32_t> input0 =
    {
        1, 1, 1, 1, 6, 6, 6, 6,
        3, 3, 3, 3, 4, 4, 4, 4
    };

    std::vector<int32_t> input1 =
    {
        2, 2, 2, 2, 3, 3, 3, 3,
        4, 4, 4, 4, 5, 5, 5, 5
    };

    std::vector<int32_t> output
    {
        1, 1, 1, 1, 3, 3, 3, 3,
        3, 3, 3, 3, 4, 4, 4, 4
    };

    return ElementwiseTestHelper<4, armnn::MinimumQueueDescriptor, armnn::DataType::Signed32>(
        workloadFactory,
        memoryManager,
        shape,
        input0,
        shape,
        input1,
        shape,
        output,
        tensorHandleFactory);
}

LayerTestResult<int32_t, 4> MinimumBroadcast1ElementInt32Test(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    const unsigned int shape0[] = { 1, 2, 2, 3 };
    const unsigned int shape1[] = { 1, 1, 1, 1 };

    std::vector<int32_t> input0 =
    {
        1, 2, 3,  4,  5,  6,
        7, 8, 9, 10, 11, 12
    };

    std::vector<int32_t> input1 = { 2 };

    std::vector<int32_t> output =
    {
        1, 2, 2, 2, 2, 2,
        2, 2, 2, 2, 2, 2
    };

    return ElementwiseTestHelper<4, armnn::MinimumQueueDescriptor, armnn::DataType::Signed32>(
        workloadFactory,
        memoryManager,
        shape0,
        input0,
        shape1,
        input1,
        shape0,
        output,
        tensorHandleFactory);
}

LayerTestResult<int32_t, 4> MinimumBroadcast1DVectorInt32Test(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    const unsigned int shape0[] = { 1, 2, 2, 3 };
    const unsigned int shape1[] = { 1, 1, 1, 3 };

    std::vector<int32_t> input0 =
    {
        1, 2, 3,  4,  5,  6,
        7, 8, 9, 10, 11, 12
    };

    std::vector<int32_t> input1 = { 1, 10, 3 };

    std::vector<int32_t> output =
    {
        1, 2, 3, 1,  5, 3,
        1, 8, 3, 1, 10, 3
    };

    return ElementwiseTestHelper<4, armnn::MinimumQueueDescriptor, armnn::DataType::Signed32>(
        workloadFactory,
        memoryManager,
        shape0,
        input0,
        shape1,
        input1,
        shape0,
        output,
        tensorHandleFactory);
}