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 *
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#include <miopen/find_solution.hpp>
#include <miopen/float_equal.hpp>
#include <miopen/kernel_cache.hpp>
#include <miopen/t5layernorm.hpp>
#include <miopen/layernorm/invoke_params.hpp>
#include <miopen/layernorm/solvers.hpp>
#include <miopen/tensor.hpp>

namespace miopen {

miopenStatus_t T5LayerNormForward(const Handle& handle,
                                  const TensorDescriptor& xDesc,
                                  ConstData_t x,
                                  const TensorDescriptor& weightDesc,
                                  ConstData_t weight,
                                  const TensorDescriptor& yDesc,
                                  Data_t y,
                                  const TensorDescriptor& rstdDesc,
                                  Data_t rstd,
                                  miopenNormMode_t mode,
                                  float epsilon)
{
    const auto problem =
        layernorm::ProblemDescription{mode, xDesc, weightDesc, yDesc, rstdDesc, epsilon};

    const auto invoke_params = [&]() {
        auto tmp       = layernorm::T5InvokeParams{};
        tmp.type       = InvokeType::Run;
        tmp.xDesc      = &xDesc;
        tmp.x          = x;
        tmp.weight     = weight;
        tmp.y          = y;
        tmp.rstd       = rstd;
        tmp.epsilon    = epsilon;
        tmp.mode       = mode;
        tmp.outer_size = problem.outer_size;
        tmp.inner_size = problem.inner_size;
        return tmp;
    }();

    const auto algo    = AlgorithmName{"T5LayerNormForward"};
    const auto solvers = solver::SolverContainer<solver::layernorm::T5LayernormForward>{};

    solvers.ExecutePrimitive(handle, problem, algo, invoke_params);

    return miopenStatusSuccess;
}

std::size_t GetT5LayerNormBackwardWorkspaceSize(const Handle& handle,
                                                const TensorDescriptor& dyDesc,
                                                const TensorDescriptor& xDesc,
                                                const TensorDescriptor& weightDesc,
                                                const TensorDescriptor& rstdDesc,
                                                const TensorDescriptor& dxDesc,
                                                const TensorDescriptor& dwDesc,
                                                miopenNormMode_t mode)
{
    auto ctx = ExecutionContext{&handle};
    const auto problem =
        layernorm::ProblemDescription{mode, dyDesc, xDesc, weightDesc, rstdDesc, dxDesc, dwDesc};

    const auto algo    = AlgorithmName{"T5LayerNormBackward"};
    const auto solvers = solver::SolverContainer<solver::layernorm::T5LayernormBackward>{};

    auto pair_size_vector = solvers.GetWorkspaceSizes(ctx, problem, true);

    return pair_size_vector.empty() ? static_cast<size_t>(0) : pair_size_vector.front().second;
}

miopenStatus_t T5LayerNormBackward(const Handle& handle,
                                   Data_t workspace,
                                   size_t workspaceSizeInBytes,
                                   const TensorDescriptor& dyDesc,
                                   ConstData_t dy,
                                   const TensorDescriptor& xDesc,
                                   ConstData_t x,
                                   const TensorDescriptor& weightDesc,
                                   ConstData_t weight,
                                   const TensorDescriptor& rstdDesc,
                                   ConstData_t rstd,
                                   const TensorDescriptor& dxDesc,
                                   Data_t dx,
                                   const TensorDescriptor& dwDesc,
                                   Data_t dw,
                                   miopenNormMode_t mode)
{
    const auto problem =
        layernorm::ProblemDescription{mode, dyDesc, xDesc, weightDesc, rstdDesc, dxDesc, dwDesc};

    const auto invoke_params = [&]() {
        auto tmp           = layernorm::T5BwdInvokeParams{};
        tmp.type           = InvokeType::Run;
        tmp.dyDesc         = &dyDesc;
        tmp.workspace      = workspace;
        tmp.workspace_size = workspaceSizeInBytes;
        tmp.dy             = dy;
        tmp.x              = x;
        tmp.weight         = weight;
        tmp.rstd           = rstd;
        tmp.dx             = dx;
        tmp.dw             = dw;
        tmp.outer_size     = problem.outer_size;
        tmp.inner_size     = problem.inner_size;
        tmp.mode           = mode;
        return tmp;
    }();

    const auto algo    = AlgorithmName{"T5LayerNormBackward"};
    const auto solvers = solver::SolverContainer<solver::layernorm::T5LayernormBackward>{};

    solvers.ExecutePrimitive(handle, problem, algo, invoke_params);

    return miopenStatusSuccess;
}

} // namespace miopen
