TheRock/rocm-libraries/projects/miopen/test/gtest/nonpack_conv3d_fwd.cpp

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#include <gtest/gtest.h>
#include <miopen/conv/solvers.hpp>
#include <miopen/miopen.h>
#include <miopen/solver_id.hpp>
#include <serialize.hpp>

#include "tensor_util.hpp"
#include "get_handle.hpp"
#include "nonpack_conv3d_fwd.hpp"

struct GPU_ConvNonpackFwdSolverTest3D_FP16 : ConvNonpackFwdSolverTest3D<half_float::half>
{
};

template <typename Solver>
void SolverFwd(const miopen::TensorDescriptor& inputDesc,
               ConstData_t input,
               const miopen::TensorDescriptor& wDesc,
               ConstData_t weight,
               const miopen::TensorDescriptor& outputDesc,
               Data_t output,
               const miopen::ConvolutionDescriptor& convDesc,
               const NonPackTestCase& conv_config,
               bool& test_skipped,
               const miopen::Scalar& alpha = miopen::Scalar(1.0),
               const miopen::Scalar& beta  = miopen::Scalar(0.0))
{
    auto&& handle = get_handle();

    Solver solv{};

    const auto tensors =
        miopen::ConvFwdTensors{inputDesc, input, wDesc, weight, outputDesc, output};

    const auto problem = miopen::conv::ProblemDescription{
        inputDesc, wDesc, outputDesc, convDesc, miopen::conv::Direction::Forward, 0, alpha, beta};
    auto ctx = miopen::ExecutionContext{};

    ctx.SetStream(&handle);

    if(!solv.IsApplicable(ctx, problem))
    {
        test_skipped = true;
        GTEST_SKIP() << solv.SolverDbId()
                     << "ConvHipImplicitGemm3DGroupFwdXdlops Not Applicable for this problem"
                     << conv_config;
    }
    const auto invoke_params =
        miopen::conv::DataInvokeParams{tensors, nullptr, 0, false, alpha, beta};

    ASSERT_TRUE(solv.IsApplicable(ctx, problem));
    auto sol = solv.GetSolution(ctx, problem, solv.GetDefaultPerformanceConfig(ctx, problem));
    ASSERT_TRUE(sol.Succeeded());
    ASSERT_TRUE(sol.invoker_factory);
    const auto invoker = handle.PrepareInvoker(*sol.invoker_factory, sol.construction_params);
    (invoker)(handle, invoke_params);
    handle.Finish();
}

TEST_P(GPU_ConvNonpackFwdSolverTest3D_FP16, CKNonPackConvFwd3D)
{
    SolverFwd<miopen::solver::conv::ConvHipImplicitGemm3DGroupFwdXdlops>(
        input.desc,
        in_dev.get(),
        weights.desc,
        wei_dev.get(),
        output.desc,
        out_dev.get(),
        conv_desc,
        conv_config,
        test_skipped,
        miopen::Scalar(&alpha_val, miopenFloat),
        miopen::Scalar(&beta_val, miopenFloat));
}

// TODO: write test that varifies if values of alpha beta selects default, scalar or bilinear
// solver.

INSTANTIATE_TEST_SUITE_P(FullConvFwdDefault,
                         GPU_ConvNonpackFwdSolverTest3D_FP16,
                         testing::Combine(testing::Values(miopenConvolutionFwdAlgoImplicitGEMM),
                                          testing::ValuesIn(ConvTestConfigs<NonPackTestCase>()),
                                          testing::ValuesIn({1.0}), // alpha
                                          testing::ValuesIn({0.0}), // beta
                                          testing::Values(miopenTensorNDHWC)));

INSTANTIATE_TEST_SUITE_P(FullConvFwdScalar,
                         GPU_ConvNonpackFwdSolverTest3D_FP16,
                         testing::Combine(testing::Values(miopenConvolutionFwdAlgoImplicitGEMM),
                                          testing::ValuesIn(ConvTestConfigs<NonPackTestCase>()),
                                          testing::ValuesIn({2.0}), // alpha
                                          testing::ValuesIn({0.0}), // beta
                                          testing::Values(miopenTensorNDHWC)));

INSTANTIATE_TEST_SUITE_P(FullConvFwdBilinear,
                         GPU_ConvNonpackFwdSolverTest3D_FP16,
                         testing::Combine(testing::Values(miopenConvolutionFwdAlgoImplicitGEMM),
                                          testing::ValuesIn(ConvTestConfigs<NonPackTestCase>()),
                                          testing::ValuesIn({2.0}), // alpha
                                          testing::ValuesIn({3.0}), // beta
                                          testing::Values(miopenTensorNDHWC)));