// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.

#pragma once

#include <vector>
#include <memory>
#include "ck/ck.hpp"
#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
#include "ck/tensor_operation/gpu/device/device_batched_gemm_softmax_gemm_permute.hpp"
#include "ck/tensor_operation/gpu/element/element_wise_operation.hpp"

#include "ck/library/tensor_operation_instance/device_operation_instance_factory.hpp"

namespace ck {
namespace tensor_operation {
namespace device {
namespace instance {

void add_device_batched_mha_bwd_qloop_casual_f16_f16_gmk_gnk_gno_gmo_instances(
    std::vector<std::unique_ptr<DeviceBatchedMultiheadAttentionBackward<
        2,
        1,
        1,
        1,
        1,
        F16,
        F16,
        unsigned short,
        F32,
        ck::Tuple<>,
        ck::Tuple<>,
        PassThrough,
        PassThrough,
        Scale,
        PassThrough,
        PassThrough,
        MaskingSpecialization::MaskUpperTriangleFromTopLeft>>>& instances);

void add_device_batched_mha_bwd_qloop_noncasual_f16_f16_gmk_gnk_gno_gmo_instances(
    std::vector<std::unique_ptr<
        DeviceBatchedMultiheadAttentionBackward<2,
                                                1,
                                                1,
                                                1,
                                                1,
                                                F16,
                                                F16,
                                                unsigned short,
                                                F32,
                                                ck::Tuple<>,
                                                ck::Tuple<>,
                                                PassThrough,
                                                PassThrough,
                                                Scale,
                                                PassThrough,
                                                PassThrough,
                                                MaskingSpecialization::MaskDisabled>>>& instances);

void add_device_batched_mha_bwd_qloop_casual_bf16_bf16_gmk_gnk_gno_gmo_instances(
    std::vector<std::unique_ptr<DeviceBatchedMultiheadAttentionBackward<
        2,
        1,
        1,
        1,
        1,
        BF16,
        BF16,
        unsigned short,
        F32,
        ck::Tuple<>,
        ck::Tuple<>,
        PassThrough,
        PassThrough,
        Scale,
        PassThrough,
        PassThrough,
        MaskingSpecialization::MaskUpperTriangleFromTopLeft>>>& instances);

void add_device_batched_mha_bwd_qloop_noncasual_bf16_bf16_gmk_gnk_gno_gmo_instances(
    std::vector<std::unique_ptr<
        DeviceBatchedMultiheadAttentionBackward<2,
                                                1,
                                                1,
                                                1,
                                                1,
                                                BF16,
                                                BF16,
                                                unsigned short,
                                                F32,
                                                ck::Tuple<>,
                                                ck::Tuple<>,
                                                PassThrough,
                                                PassThrough,
                                                Scale,
                                                PassThrough,
                                                PassThrough,
                                                MaskingSpecialization::MaskDisabled>>>& instances);

template <typename InputDataType,
          typename OutputDataType,
          typename ZDataType,
          typename LSEDataType,
          MaskingSpecialization MaskingSpec>
struct DeviceOperationInstanceFactory<
    ck::tensor_operation::device::DeviceBatchedMultiheadAttentionBackward<2,
                                                                          1,
                                                                          1,
                                                                          1,
                                                                          1,
                                                                          InputDataType,
                                                                          OutputDataType,
                                                                          ZDataType,
                                                                          LSEDataType,
                                                                          ck::Tuple<>,
                                                                          ck::Tuple<>,
                                                                          PassThrough,
                                                                          PassThrough,
                                                                          Scale,
                                                                          PassThrough,
                                                                          PassThrough,
                                                                          MaskingSpec>>
{
    using DeviceOp = DeviceBatchedMultiheadAttentionBackward<2,
                                                             1,
                                                             1,
                                                             1,
                                                             1,
                                                             InputDataType,
                                                             OutputDataType,
                                                             ZDataType,
                                                             LSEDataType,
                                                             ck::Tuple<>,
                                                             ck::Tuple<>,
                                                             PassThrough,
                                                             PassThrough,
                                                             Scale,
                                                             PassThrough,
                                                             PassThrough,
                                                             MaskingSpec>;

    static auto GetInstances()
    {
        std::vector<std::unique_ptr<DeviceOp>> op_ptrs;

        if constexpr(is_same_v<InputDataType, half_t> && is_same_v<OutputDataType, half_t> &&
                     is_same_v<ZDataType, unsigned short> && is_same_v<LSEDataType, float>)
        {
            if constexpr(MaskingSpec == MaskingSpecialization::MaskUpperTriangleFromTopLeft)
            {
                add_device_batched_mha_bwd_qloop_casual_f16_f16_gmk_gnk_gno_gmo_instances(op_ptrs);
            }
            else if(MaskingSpec == MaskingSpecialization::MaskDisabled)
            {
                add_device_batched_mha_bwd_qloop_noncasual_f16_f16_gmk_gnk_gno_gmo_instances(
                    op_ptrs);
            }
        }
        else if constexpr(is_same_v<InputDataType, BF16> && is_same_v<OutputDataType, BF16> &&
                          is_same_v<ZDataType, unsigned short> && is_same_v<LSEDataType, float>)
        {
            if constexpr(MaskingSpec == MaskingSpecialization::MaskUpperTriangleFromTopLeft)
            {
                add_device_batched_mha_bwd_qloop_casual_bf16_bf16_gmk_gnk_gno_gmo_instances(
                    op_ptrs);
            }
            else if(MaskingSpec == MaskingSpecialization::MaskDisabled)
            {
                add_device_batched_mha_bwd_qloop_noncasual_bf16_bf16_gmk_gnk_gno_gmo_instances(
                    op_ptrs);
            }
        }
        return op_ptrs;
    }
};

} // namespace instance
} // namespace device
} // namespace tensor_operation
} // namespace ck
