/*******************************************************************************
 *
 * MIT License
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 * Copyright (c) 2021 Advanced Micro Devices, Inc.
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 * of this software and associated documentation files (the "Software"), to deal
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#include <miopen/mlir_build.hpp>
#include <miopen/conv/invokers/mlir_impl_gemm.hpp>
#include <miopen/config.h>
#include <miopen/env.hpp>
#include <miopen/generic_search.hpp>
#include <miopen/solver.hpp>
#include <miopen/solver/implicitgemm_util.hpp>
#include <miopen/solver/mlir_common.hpp>

MIOPEN_DECLARE_ENV_VAR(MIOPEN_DEBUG_CONV_MLIR_IGEMM_BWD)

namespace miopen {
namespace solver {

bool ConvMlirIgemmBwd::IsApplicable(const ConvolutionContext& ctx) const
{
#if MIOPEN_USE_MLIR
    if(miopen::IsDisabled(MIOPEN_DEBUG_CONV_MLIR_IGEMM_BWD{}))
        return false;
    if(miopen::IsEnabled(MIOPEN_DEBUG_CONVOLUTION_DETERMINISTIC{}))
        return false;
    if(!ctx.direction.IsBackwardData())
        return false;
    if(!IsComposableKernelSupportedHardware(ctx))
        return false;
    // Note: ConvMlirIgemmBwd can run on a machine with xdlops support, however, it is
    // guaranteed to be slower than its xdlops alternative, therefore disabling it to
    // save compilation overhead
    if(IsXdlopsSupport(ctx))
        return false;
    // Refer to https://github.com/ROCmSoftwarePlatform/llvm-project-private/issues/389
    const auto device_name = ctx.GetStream().GetDeviceName();
    if(StartsWith(device_name, "gfx900"))
        return false;

    return MiirIsConfigApplicable(mlir::ConstructBuildOptions(ctx, false));
#else
    std::ignore = ctx;
    return false;
#endif
}

PerformanceConvMlirIgemm ConvMlirIgemmBwd::GetPerformanceConfig(const ConvolutionContext& ctx) const
{
    std::ignore = ctx;
    return PerformanceConvMlirIgemm::MlirHeuristicInitRequest();
}

bool ConvMlirIgemmBwd::IsValidPerformanceConfig(const ConvolutionContext& ctx,
                                                const PerformanceConvMlirIgemm& config) const
{
    MIOPEN_LOG_I("");
    return config.IsValid(ctx);
}

PerformanceConvMlirIgemm ConvMlirIgemmBwd::Search(const ConvolutionContext& ctx,
                                                  const AnyInvokeParams& invoke_ctx) const
{
    return GenericSearch(*this, ctx, invoke_ctx);
}

ConvSolution ConvMlirIgemmBwd::GetSolution(const ConvolutionContext& ctx,
                                           const PerformanceConvMlirIgemm& config,
                                           bool) const
{
#if MIOPEN_USE_MLIR
    ConvSolution result;
    int kernel_count = MiirGetKernelCount(mlir::ConstructBuildOptions(ctx, false));

    for(int kernel_id = 0; kernel_id < kernel_count; ++kernel_id)
    {
        KernelInfo construction_parameters;

        construction_parameters.kernel_name = mlir::GetKernelName(ctx, false, kernel_id);
        construction_parameters.kernel_file = construction_parameters.kernel_name + ".mlir";
        construction_parameters.comp_options =
            mlir::ConstructBuildOptions(ctx, config, false, kernel_id);

        size_t local_size  = 0;
        size_t global_size = 0;
        MiirGenLaunchParams(construction_parameters.comp_options, local_size, global_size);
        construction_parameters.l_wk.push_back(local_size);
        construction_parameters.l_wk.push_back(1);
        construction_parameters.l_wk.push_back(1);
        construction_parameters.g_wk.push_back(global_size);
        construction_parameters.g_wk.push_back(1);
        construction_parameters.g_wk.push_back(1);

        result.construction_params.push_back(construction_parameters);
    }

    result.invoker_factory = conv::MakeMlirBwdInvokerFactory(ctx);
    return result;
#else
    std::ignore = ctx;
    std::ignore = config;
    return {};
#endif
}

} // namespace solver
} // namespace miopen