/**
 * Copyright (c) 2025 Huawei Technologies Co., Ltd.
 * This program is free software, you can redistribute it and/or modify it under the terms and conditions of
 * CANN Open Software License Agreement Version 2.0 (the "License").
 * Please refer to the License for details. You may not use this file except in compliance with the License.
 * THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
 * INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
 * See LICENSE in the root of the software repository for the full text of the License.
 */
 
// By setting the K_MAX_SHAPE_DIM macro, the dimension of the AscendC Tensor's ShapeInfo is configured to 0,
// optimizing stack space. If you need to use the ShapeInfo of the AscendC Tensor, please undefine this macro.
#ifndef K_MAX_SHAPE_DIM
#define K_MAX_SHAPE_DIM 0
#endif

#include "catlass/arch/arch.hpp"
#include "catlass/catlass.hpp"
#include "catlass/gemm/block/block_mmad.hpp"
#include "catlass/gemm/block/block_swizzle.hpp"
#include "catlass/gemm/device/device_gemm.hpp"
#include "catlass/gemm/dispatch_policy.hpp"
#include "catlass/gemm/gemm_type.hpp"
#include "catlass/gemm/kernel/optimized_matmul.hpp"
#include "catlass/layout/layout.hpp"
#include "catlass/status.hpp"

#include "golden.hpp"
#include "helper.hpp"

using namespace Catlass;

constexpr uint32_t alignByByte = 512;
constexpr uint32_t alignByElement = alignByByte / sizeof(fp16_t);

using ArchTag = Arch::AtlasA2;
constexpr bool ENABLE_UNIT_FLAG = true;
constexpr bool ENABLE_SHUFFLE_K = true;
using ElementA = half;
using ElementB = half;
using ElementC = half;
using LayoutA = layout::RowMajor;
using LayoutB = layout::ColumnMajor;
using LayoutC = layout::RowMajor;

using AType = Gemm::GemmType<ElementA, LayoutA>;
using BType = Gemm::GemmType<ElementB, LayoutB>;
using CType = Gemm::GemmType<ElementC, LayoutC>;
using DispatchPolicy = Gemm::MmadAtlasA2Preload<ENABLE_UNIT_FLAG, ENABLE_SHUFFLE_K>;

// if LayoutA and LayoutB is both ColumnMajor,
// L1TileShape using GemmShape<256, 128, 256> can achieve better performance.
using L1TileShape = std::conditional_t<
    std::is_same_v<LayoutA, layout::ColumnMajor> && std::is_same_v<LayoutB, layout::ColumnMajor>,
    GemmShape<256, 128, 256>,
    GemmShape<128, 256, 256>>;
using L0TileShape = std::conditional_t<
    std::is_same_v<LayoutA, layout::ColumnMajor> && std::is_same_v<LayoutB, layout::ColumnMajor>,
    GemmShape<256, 128, 64>,
    GemmShape<128, 256, 64>>;
using BlockScheduler30 = typename Gemm::Block::GemmIdentityBlockSwizzle<3, 0>;
using BlockScheduler31 = typename Gemm::Block::GemmIdentityBlockSwizzle<3, 1>;
using BlockEpilogue = void;

using Options = GemmOptions;

static void Run(const Options &options) {
    aclrtStream stream{nullptr};

    ACL_CHECK(aclInit(nullptr));
    ACL_CHECK(aclrtSetDevice(options.deviceId));
    ACL_CHECK(aclrtCreateStream(&stream));

    uint32_t m = options.problemShape.m();
    uint32_t n = options.problemShape.n();
    uint32_t k = options.problemShape.k();

    LayoutA layoutA = LayoutA::template MakeLayout<ElementA>(m, k);
    LayoutB layoutB = LayoutB::template MakeLayout<ElementB>(k, n);
    LayoutC layoutC = LayoutC::template MakeLayout<ElementC>(m, n);
    size_t lenA = layoutA.Capacity();
    size_t lenB = layoutB.Capacity();
    size_t lenC = layoutC.Capacity();

    size_t sizeA = lenA * sizeof(fp16_t);
    size_t sizeB = lenB * sizeof(fp16_t);
    size_t sizeC = lenC * sizeof(fp16_t);

    bool isNeedPaddingA = IsNeedPadding(layoutA, alignByElement);
    bool isNeedPaddingB = IsNeedPadding(layoutB, alignByElement);

    // PaddingTag can be NO_PADDING, PADDING_BLOCK_ND, or PADDING_ND.
    using PaddingTag = Catlass::Gemm::Kernel::PaddingTag;
    // Layout zN or layout nZ does not require padding operation.
    constexpr PaddingTag paddingTagA = (std::is_same_v<LayoutA, layout::zN> || std::is_same_v<LayoutA, layout::nZ>)
                                           ? PaddingTag::NO_PADDING
                                           : PaddingTag::PADDING_BLOCK_ND;
    constexpr PaddingTag paddingTagB = (std::is_same_v<LayoutB, layout::zN> || std::is_same_v<LayoutB, layout::nZ>)
                                           ? PaddingTag::NO_PADDING
                                           : PaddingTag::PADDING_BLOCK_ND;
    static const uint32_t COMPUTE_LENGTH_A = 96 * 1024 / sizeof(ElementA);
    using PaddingBuilderA =
        Catlass::Gemm::Kernel::PaddingBuilder<paddingTagA, ArchTag, ElementA, LayoutA, COMPUTE_LENGTH_A>;
    using GlobalPaddingA = typename PaddingBuilderA::Padding;
    static const uint32_t COMPUTE_LENGTH_B = 96 * 1024 / sizeof(ElementB);
    using PaddingBuilderB =
        Catlass::Gemm::Kernel::PaddingBuilder<paddingTagB, ArchTag, ElementB, LayoutB, COMPUTE_LENGTH_B>;
    using GlobalPaddingB = typename PaddingBuilderB::Padding;

    std::vector<fp16_t> hostA(lenA);
    std::vector<fp16_t> hostB(lenB);
    golden::FillRandomData<fp16_t>(hostA, -5.0f, 5.0f);
    golden::FillRandomData<fp16_t>(hostB, -5.0f, 5.0f);

    uint8_t *deviceA{nullptr};
    ACL_CHECK(aclrtMalloc(reinterpret_cast<void **>(&deviceA), sizeA, ACL_MEM_MALLOC_HUGE_FIRST));
    ACL_CHECK(aclrtMemcpy(deviceA, sizeA, hostA.data(), sizeA, ACL_MEMCPY_HOST_TO_DEVICE));

    uint8_t *deviceB{nullptr};
    ACL_CHECK(aclrtMalloc(reinterpret_cast<void **>(&deviceB), sizeB, ACL_MEM_MALLOC_HUGE_FIRST));
    ACL_CHECK(aclrtMemcpy(deviceB, sizeB, hostB.data(), sizeB, ACL_MEMCPY_HOST_TO_DEVICE));

    uint8_t *deviceC{nullptr};
    ACL_CHECK(aclrtMalloc(reinterpret_cast<void **>(&deviceC), sizeC, ACL_MEM_MALLOC_HUGE_FIRST));

    // Prepare FFTS address
    uint32_t fftsLen{0};
    uint64_t fftsAddr{0};
    RT_CHECK(rtGetC2cCtrlAddr(&fftsAddr, &fftsLen));

    // Get the number of cube cores of the current hardware
    auto aicCoreNum = platform_ascendc::PlatformAscendCManager::GetInstance()->GetCoreNumAic();

    if (m > n) {
        if (isNeedPaddingA && isNeedPaddingB) {
            using LayoutMmadA = typename PaddingBuilderA::LayoutAfterPadding;
            using LayoutMmadB = typename PaddingBuilderB::LayoutAfterPadding;
            using ATypeMmad = Gemm::GemmType<ElementA, LayoutMmadA>;
            using BTypeMmad = Gemm::GemmType<ElementB, LayoutMmadB>;
            using TileCopy = Catlass::Gemm::Tile::ReluTileCopy<ArchTag, ATypeMmad, BTypeMmad, CType>;
            using BlockMmadOpt = Gemm::Block::BlockMmad<
                DispatchPolicy, L1TileShape, L0TileShape, ATypeMmad, BTypeMmad, CType, void, TileCopy>;
            using MatmulKernel = Gemm::Kernel::OptimizedMatmul<
                GlobalPaddingA, GlobalPaddingB, BlockMmadOpt, BlockEpilogue, BlockScheduler30>;
            MatmulKernel::Arguments arguments{options.problemShape, deviceA, deviceB, deviceC};
            using MatmulAdapter = Gemm::Device::DeviceGemm<MatmulKernel>;
            MatmulAdapter matmulOp;
            RunAdapter(matmulOp, arguments, stream, aicCoreNum, fftsAddr);
        } else if (isNeedPaddingA) {
            using LayoutMmadA = typename PaddingBuilderA::LayoutAfterPadding;
            using ATypeMmad = Gemm::GemmType<ElementA, LayoutMmadA>;
            using TileCopy = Catlass::Gemm::Tile::ReluTileCopy<ArchTag, ATypeMmad, BType, CType>;
            using BlockMmadOpt = Gemm::Block::BlockMmad<
                DispatchPolicy, L1TileShape, L0TileShape, ATypeMmad, BType, CType, void, TileCopy>;
            using MatmulKernel =
                Gemm::Kernel::OptimizedMatmul<GlobalPaddingA, void, BlockMmadOpt, BlockEpilogue, BlockScheduler30>;
            MatmulKernel::Arguments arguments{options.problemShape, deviceA, deviceB, deviceC};
            using MatmulAdapter = Gemm::Device::DeviceGemm<MatmulKernel>;
            MatmulAdapter matmulOp;
            RunAdapter(matmulOp, arguments, stream, aicCoreNum, fftsAddr);
        } else if (isNeedPaddingB) {
            using LayoutMmadB = typename PaddingBuilderB::LayoutAfterPadding;
            using BTypeMmad = Gemm::GemmType<ElementB, LayoutMmadB>;
            using TileCopy = Catlass::Gemm::Tile::ReluTileCopy<ArchTag, AType, BTypeMmad, CType>;
            using BlockMmadOpt = Gemm::Block::BlockMmad<
                DispatchPolicy, L1TileShape, L0TileShape, AType, BTypeMmad, CType, void, TileCopy>;
            using MatmulKernel =
                Gemm::Kernel::OptimizedMatmul<void, GlobalPaddingB, BlockMmadOpt, BlockEpilogue, BlockScheduler30>;
            MatmulKernel::Arguments arguments{options.problemShape, deviceA, deviceB, deviceC};
            using MatmulAdapter = Gemm::Device::DeviceGemm<MatmulKernel>;
            MatmulAdapter matmulOp;
            RunAdapter(matmulOp, arguments, stream, aicCoreNum, fftsAddr);
        } else {
            using TileCopy = Catlass::Gemm::Tile::ReluTileCopy<ArchTag, AType, BType, CType>;
            using BlockMmadOpt =
                Gemm::Block::BlockMmad<DispatchPolicy, L1TileShape, L0TileShape, AType, BType, CType, void, TileCopy>;
            using MatmulKernel =
                Gemm::Kernel::OptimizedMatmul<void, void, BlockMmadOpt, BlockEpilogue, BlockScheduler30>;
            MatmulKernel::Arguments arguments{options.problemShape, deviceA, deviceB, deviceC};
            using MatmulAdapter = Gemm::Device::DeviceGemm<MatmulKernel>;
            MatmulAdapter matmulOp;
            RunAdapter(matmulOp, arguments, stream, aicCoreNum, fftsAddr);
        }
    } else {
        if (isNeedPaddingA && isNeedPaddingB) {
            using LayoutMmadA = typename PaddingBuilderA::LayoutAfterPadding;
            using LayoutMmadB = typename PaddingBuilderB::LayoutAfterPadding;
            using ATypeMmad = Gemm::GemmType<ElementA, LayoutMmadA>;
            using BTypeMmad = Gemm::GemmType<ElementB, LayoutMmadB>;
            using TileCopy = Catlass::Gemm::Tile::ReluTileCopy<ArchTag, ATypeMmad, BTypeMmad, CType>;
            using BlockMmadOpt = Gemm::Block::BlockMmad<
                DispatchPolicy, L1TileShape, L0TileShape, ATypeMmad, BTypeMmad, CType, void, TileCopy>;
            using MatmulKernel = Gemm::Kernel::OptimizedMatmul<
                GlobalPaddingA, GlobalPaddingB, BlockMmadOpt, BlockEpilogue, BlockScheduler31>;
            MatmulKernel::Arguments arguments{options.problemShape, deviceA, deviceB, deviceC};
            using MatmulAdapter = Gemm::Device::DeviceGemm<MatmulKernel>;
            MatmulAdapter matmulOp;
            RunAdapter(matmulOp, arguments, stream, aicCoreNum, fftsAddr);
        } else if (isNeedPaddingA) {
            using LayoutMmadA = typename PaddingBuilderA::LayoutAfterPadding;
            using ATypeMmad = Gemm::GemmType<ElementA, LayoutMmadA>;
            using TileCopy = Catlass::Gemm::Tile::ReluTileCopy<ArchTag, ATypeMmad, BType, CType>;
            using BlockMmadOpt = Gemm::Block::BlockMmad<
                DispatchPolicy, L1TileShape, L0TileShape, ATypeMmad, BType, CType, void, TileCopy>;
            using MatmulKernel =
                Gemm::Kernel::OptimizedMatmul<GlobalPaddingA, void, BlockMmadOpt, BlockEpilogue, BlockScheduler31>;
            MatmulKernel::Arguments arguments{options.problemShape, deviceA, deviceB, deviceC};
            using MatmulAdapter = Gemm::Device::DeviceGemm<MatmulKernel>;
            MatmulAdapter matmulOp;
            RunAdapter(matmulOp, arguments, stream, aicCoreNum, fftsAddr);
        } else if (isNeedPaddingB) {
            using LayoutMmadB = typename PaddingBuilderB::LayoutAfterPadding;
            using BTypeMmad = Gemm::GemmType<ElementB, LayoutMmadB>;
            using TileCopy = Catlass::Gemm::Tile::ReluTileCopy<ArchTag, AType, BTypeMmad, CType>;
            using BlockMmadOpt = Gemm::Block::BlockMmad<
                DispatchPolicy, L1TileShape, L0TileShape, AType, BTypeMmad, CType, void, TileCopy>;
            using MatmulKernel =
                Gemm::Kernel::OptimizedMatmul<void, GlobalPaddingB, BlockMmadOpt, BlockEpilogue, BlockScheduler31>;
            MatmulKernel::Arguments arguments{options.problemShape, deviceA, deviceB, deviceC};
            using MatmulAdapter = Gemm::Device::DeviceGemm<MatmulKernel>;
            MatmulAdapter matmulOp;
            RunAdapter(matmulOp, arguments, stream, aicCoreNum, fftsAddr);
        } else {
            using TileCopy = Catlass::Gemm::Tile::ReluTileCopy<ArchTag, AType, BType, CType>;
            using BlockMmadOpt =
                Gemm::Block::BlockMmad<DispatchPolicy, L1TileShape, L0TileShape, AType, BType, CType, void, TileCopy>;
            using MatmulKernel =
                Gemm::Kernel::OptimizedMatmul<void, void, BlockMmadOpt, BlockEpilogue, BlockScheduler31>;
            MatmulKernel::Arguments arguments{options.problemShape, deviceA, deviceB, deviceC};
            using MatmulAdapter = Gemm::Device::DeviceGemm<MatmulKernel>;
            MatmulAdapter matmulOp;
            RunAdapter(matmulOp, arguments, stream, aicCoreNum, fftsAddr);
        }
    }

    std::vector<fp16_t> hostC(lenC);
    ACL_CHECK(aclrtMemcpy(hostC.data(), sizeC, deviceC, sizeC, ACL_MEMCPY_DEVICE_TO_HOST));

    std::vector<float> hostGolden(lenC);
    golden::ComputeMatmulElemWiseRelu(options.problemShape, hostA, layoutA, hostB, layoutB, hostGolden, layoutC);

    std::vector<uint64_t> errorIndices = golden::CompareData(hostC, hostGolden, k);
    if (errorIndices.empty()) {
        std::cout << "Compare success." << std::endl;
    } else {
        std::cerr << "Compare failed. Error count: " << errorIndices.size() << std::endl;
    }

    ACL_CHECK(aclrtFree(deviceA));
    ACL_CHECK(aclrtFree(deviceB));
    ACL_CHECK(aclrtFree(deviceC));
    ACL_CHECK(aclrtDestroyStream(stream));
    ACL_CHECK(aclrtResetDevice(options.deviceId));
    ACL_CHECK(aclFinalize());
}

int main(int argc, const char **argv) {
    Options options;
    if (options.Parse(argc, argv) != 0) {
        return -1;
    }
    Run(options);
    return 0;
}