TheRock/rocm-libraries/projects/miopen/test/gtest/bn_aux.cpp

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#include <miopen/batch_norm.hpp>
#include <miopen/miopen.h>
#include <miopen/tensor.hpp>
#include <gtest/gtest.h>
#include <array>
#include <vector>

namespace {

enum class BNDeriveMode
{
    Spatial,
    PerActivation
};

struct BNDeriveTestCase
{
    BNDeriveMode mode;
};

std::vector<BNDeriveTestCase> GetBNDeriveTestCases()
{
    return {{BNDeriveMode::Spatial}, {BNDeriveMode::PerActivation}};
}

struct GPU_BnDerive_FP32 : public ::testing::TestWithParam<BNDeriveTestCase>
{
    void SetUp() override
    {
        miopenCreateTensorDescriptor(&ctensor);
        miopenCreateTensorDescriptor(&derivedTensor);
        miopenSet4dTensorDescriptor(ctensor, miopenFloat, 100, 32, 8, 16);
    }

    void TearDown() override
    {
        miopenDestroyTensorDescriptor(ctensor);
        miopenDestroyTensorDescriptor(derivedTensor);
    }

    miopenTensorDescriptor_t ctensor{};
    miopenTensorDescriptor_t derivedTensor{};
};

} // namespace

TEST_P(GPU_BnDerive_FP32, Test)
{
    const auto& test_case = this->GetParam();
    std::array<int, 4> lens{};
    miopenDataType_t dt;

    miopenBatchNormMode_t bn_mode =
        (test_case.mode == BNDeriveMode::Spatial) ? miopenBNSpatial : miopenBNPerActivation;

    miopenDeriveBNTensorDescriptor(derivedTensor, ctensor, bn_mode);
    miopenGetTensorDescriptor(derivedTensor, &dt, lens.data(), nullptr);

    EXPECT_EQ(dt, miopenFloat);
    EXPECT_EQ(lens.size(), 4);
    EXPECT_EQ(lens[0], 1);
    EXPECT_EQ(lens[1], 32);

    if(test_case.mode == BNDeriveMode::Spatial)
    {
        EXPECT_EQ(lens[2], 1);
        EXPECT_EQ(lens[3], 1);
    }
    else
    {
        EXPECT_EQ(lens[2], 8);
        EXPECT_EQ(lens[3], 16);
    }
}

INSTANTIATE_TEST_SUITE_P(Smoke, GPU_BnDerive_FP32, testing::ValuesIn(GetBNDeriveTestCases()));