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 * of this software and associated documentation files (the "Software"), to deal
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#include <miopen/conv/invokers/gcn_asm_1x1u_ss.hpp>

#include <miopen/conv/data_invoke_params.hpp>
#include <miopen/errors.hpp>
#include <miopen/handle.hpp>
#include <miopen/kernel.hpp>
#include <miopen/tensor.hpp>

namespace miopen {
namespace conv {

void RunSubSampleKernel(const solver::KernelInfo& ss_kernel_info,
                        const Handle& handle,
                        const ConvDataTensors& tensors,
                        Data_t workSpace)
{

    auto&& kernels = handle.GetKernels(ss_kernel_info.kernel_name, ss_kernel_info.comp_options);
    if(!kernels.empty())
    {
        auto kernel = kernels.front();
        kernel(tensors.in, workSpace);
    }
    else
    {
        handle.AddKernel(ss_kernel_info.kernel_name,
                         ss_kernel_info.comp_options,
                         ss_kernel_info.kernel_file,
                         ss_kernel_info.kernel_name,
                         ss_kernel_info.l_wk,
                         ss_kernel_info.g_wk,
                         ss_kernel_info.comp_options)(tensors.in, workSpace);
    }
}

InvokerFactory MakeGcnAsm1x1USSInvokerFactory(const solver::KernelInfo& ss_kernel_info,
                                              int N,
                                              int C,
                                              int K,
                                              int n_groups,
                                              int out_H,
                                              int out_W,
                                              std::size_t workspace_sz)
{
    return [=](const std::vector<Kernel>& kernels) {
        const auto kernel = kernels[0];

        return [=](const Handle& handle, const AnyInvokeParams& primitive_parameters) {
            const auto& params        = primitive_parameters.CastTo<DataInvokeParams>();
            const auto& tensors       = params.tensors;
            const auto& workSpace     = params.workSpace;
            const auto& workSpaceSize = params.workSpaceSize;

            float elapsed = 0;

            if(workSpace == nullptr || workSpaceSize == 0)
                MIOPEN_THROW("Workspace is required for SubSample");

            if(workSpaceSize < workspace_sz)
                MIOPEN_THROW("Not enough workspace has been provided for SubSample.");

            if(params.type != InvokeType::AutoTune)
            {
                RunSubSampleKernel(ss_kernel_info, handle, tensors, workSpace);
                if(handle.IsProfilingEnabled())
                    elapsed += handle.GetKernelTime();
            }

            int unused       = 0;
            int* return_addr = nullptr;
            handle.Run(kernel)(N,
                               C,
                               out_H,
                               out_W,
                               K,
                               n_groups,
                               unused,
                               unused,
                               workSpace,
                               tensors.w,
                               tensors.out,
                               return_addr);

            if(handle.IsProfilingEnabled())
            {
                elapsed += handle.GetKernelTime();
                handle.ResetKernelTime();
                handle.AccumKernelTime(elapsed);
            }
        };
    };
}

} // namespace conv
} // namespace miopen
