/*
 * SPDX-FileCopyrightText: Copyright (c) 2022-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 * SPDX-License-Identifier: Apache-2.0
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
#pragma once

#include "cutlass/gemm/threadblock/default_mma.h"
#include "cutlass_extensions/arch/mma.h"

#include "cutlass_extensions/gemm/threadblock/dq_mma_pipelined.h"
#include "cutlass_extensions/gemm/warp/default_mma_tensor_op.h"
#include "cutlass_extensions/gemm/warp/mma_tensorop_compute_B_with_f16.h"
#include "cutlass_extensions/tile_interleaved_layout.h"

#include "cutlass_extensions/gemm/threadblock/default_dq_mma.h"

namespace cutlass
{
namespace gemm
{
namespace threadblock
{

////////////////////////////////////////////////////////////////////////////////

template <
    /// Type for element A
    typename ElementA,
    /// Layout type for A matrix operand
    typename LayoutA,
    /// Access granularity of A matrix in units of elements
    int kAlignmentA,
    /// Type for element B
    typename ElementB,
    /// Layout type for B matrix operand
    typename LayoutB,
    /// Access granularity of B matrix in units of elements
    int kAlignmentB,
    /// Element type for the input scale
    typename ElementScale,
    /// Layout for the scale operand
    typename LayoutScale,
    /// Access granularity of Scales in unit of elements
    int kAlignmentScale,
    /// Element type for internal accumulation
    typename ElementAccumulator,
    /// Operator class tag
    typename OperatorClass,
    /// Tag indicating architecture to tune for
    typename ArchTag,
    /// Threadblock-level tile size (concept: GemmShape)
    typename ThreadblockShape,
    /// Warp-level tile size (concept: GemmShape)
    typename WarpShape,
    /// Instruction-level tile size (concept: GemmShape)
    typename InstructionShape,
    /// Operation performed by GEMM
    typename Operator_>
struct DqMma<ElementA, LayoutA, kAlignmentA, ElementB, LayoutB, kAlignmentB, ElementScale, LayoutScale, kAlignmentScale,
    ElementAccumulator, layout::RowMajor, OperatorClass, ArchTag, ThreadblockShape, WarpShape, InstructionShape, 2,
    Operator_, SharedMemoryClearOption::kNone,
    typename platform::enable_if<(
        ArchTag::kMinComputeCapability < 80 && !layout::IsColumnMajorTileInterleave<LayoutB>::value)>::type>
{

    static_assert(platform::is_same<ElementA, half_t>::value || platform::is_same<ElementA, bfloat16_t>::value,
        "Element A must be fp16 or bf16");

    static_assert(platform::is_same<ElementB, uint8_t>::value || platform::is_same<ElementB, uint4b_t>::value,
        "Element B must be uint8 or uint4");

    using OperatorInfo = arch::DetagOperator<Operator_>;
    using Operator = typename OperatorInfo::Operator;
    static_assert(OperatorInfo::QuantOp == WeightOnlyQuantOp::PER_COLUMN_SCALE_ONLY, "");

    static constexpr bool DqAfterLDG = platform::is_same<arch::OpMultiplyAdd, Operator>::value;
    static constexpr bool arch_has_bf16_mma = ArchTag::kMinComputeCapability >= 80;
    using MmaCoreElementA = typename platform::conditional<arch_has_bf16_mma, ElementA, half_t>::type;
    using MmaCoreElementB = typename platform::conditional<DqAfterLDG, MmaCoreElementA, ElementB>::type;

    // Define the MmaCore components
    using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<ThreadblockShape, WarpShape, InstructionShape,
        MmaCoreElementA, LayoutA, MmaCoreElementB, LayoutB, ElementAccumulator, layout::RowMajor, OperatorClass, 2,
        Operator>;

    // Define iterators over tiles from the A operand
    using IteratorA = cutlass::transform::threadblock::PredicatedTileIterator<
        cutlass::MatrixShape<MmaCore::Shape::kM, MmaCore::Shape::kK>, ElementA, LayoutA, 1,
        typename MmaCore::IteratorThreadMapA, kAlignmentA>;

    // Define iterators over tiles from the B operand
    using IteratorB = cutlass::transform::threadblock::PredicatedTileIterator<
        cutlass::MatrixShape<MmaCore::Shape::kK, MmaCore::Shape::kN>, ElementB, LayoutB, 0,
        typename MmaCore::IteratorThreadMapB, kAlignmentB>;

    // ThreadMap for scale iterator
    static_assert((MmaCore::Shape::kN % kAlignmentScale) == 0, "");
    using IteratorScaleThreadMap
        = transform::PitchLinearStripminedThreadMap<layout::PitchLinearShape<MmaCore::Shape::kN, 1>,
            MmaCore::Shape::kN / kAlignmentScale, kAlignmentScale>;

    // Define iterators over tiles from the scale operand
    using IteratorScale
        = cutlass::transform::threadblock::PredicatedTileIterator<cutlass::MatrixShape<1, MmaCore::Shape::kN>,
            ElementScale, LayoutScale, 0, IteratorScaleThreadMap, kAlignmentScale>;

    using SmemScaleType = typename platform::conditional<arch_has_bf16_mma, ElementScale, half_t>::type;
    using SmemIteratorScale
        = cutlass::transform::threadblock::PredicatedTileIterator<cutlass::MatrixShape<1, MmaCore::Shape::kN>,
            SmemScaleType, LayoutScale, 0, IteratorScaleThreadMap, kAlignmentScale>;

    using Converters = SetConverters<IteratorB, typename MmaCore::MmaPolicy::Operator, Operator>;

    // Define the threadblock-scoped pipelined matrix multiply
    using ThreadblockMma = cutlass::gemm::threadblock::DqMmaPipelined<typename MmaCore::Shape, IteratorA,
        typename MmaCore::SmemIteratorA, IteratorB, typename MmaCore::SmemIteratorB, IteratorScale, SmemIteratorScale,
        ElementAccumulator, layout::RowMajor, typename MmaCore::MmaPolicy, typename Converters::TransformAfterLDG,
        typename Converters::TransformAfterLDS, OperatorInfo::QuantOp>;
};

// Specialization to handle column major interleave B
template <
    /// Type for element A
    typename ElementA,
    /// Layout type for A matrix operand
    typename LayoutA,
    /// Access granularity of A matrix in units of elements
    int kAlignmentA,
    /// Type for element B
    typename ElementB,
    /// Layout type for B matrix operand
    typename LayoutB,
    /// Access granularity of B matrix in units of elements
    int kAlignmentB,
    /// Element type for the input scale
    typename ElementScale,
    /// Layout for the scale operand
    typename LayoutScale,
    /// Access granularity of Scales in unit of elements
    int kAlignmentScale,
    /// Element type for internal accumulation
    typename ElementAccumulator,
    /// Operator class tag
    typename OperatorClass,
    /// Tag indicating architecture to tune for
    typename ArchTag,
    /// Threadblock-level tile size (concept: GemmShape)
    typename ThreadblockShape,
    /// Warp-level tile size (concept: GemmShape)
    typename WarpShape,
    /// Instruction-level tile size (concept: GemmShape)
    typename InstructionShape,
    /// Operation performed by GEMM
    typename Operator_>
struct DqMma<ElementA, LayoutA, kAlignmentA, ElementB, LayoutB, kAlignmentB, ElementScale, LayoutScale, kAlignmentScale,
    ElementAccumulator, layout::RowMajor, OperatorClass, ArchTag, ThreadblockShape, WarpShape, InstructionShape, 2,
    Operator_, SharedMemoryClearOption::kNone,
    typename platform::enable_if<(
        ArchTag::kMinComputeCapability < 80 && layout::IsColumnMajorTileInterleave<LayoutB>::value)>::type>
{

    static_assert(platform::is_same<ElementA, half_t>::value || platform::is_same<ElementA, bfloat16_t>::value,
        "Element A must be fp16 or bf16");

    static_assert(platform::is_same<ElementB, uint8_t>::value || platform::is_same<ElementB, uint4b_t>::value,
        "Element B must be uint8 or uint4");

    using OperatorInfo = arch::DetagOperator<Operator_>;
    using Operator = typename OperatorInfo::Operator;
    static_assert(OperatorInfo::QuantOp == WeightOnlyQuantOp::PER_COLUMN_SCALE_ONLY, "");

    static constexpr bool DqAfterLDG = platform::is_same<arch::OpMultiplyAdd, Operator>::value;
    static constexpr bool arch_has_bf16_mma = ArchTag::kMinComputeCapability >= 80;
    using MmaCoreElementA = typename platform::conditional<arch_has_bf16_mma, ElementA, half_t>::type;
    using MmaCoreElementB = typename platform::conditional<DqAfterLDG, MmaCoreElementA, ElementB>::type;

    // Define the MmaCore components
    using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<ThreadblockShape, WarpShape, InstructionShape,
        MmaCoreElementA, LayoutA, MmaCoreElementB, layout::ColumnMajor, ElementAccumulator, layout::RowMajor,
        OperatorClass, 2, Operator>;

    // Define iterators over tiles from the A operand
    using IteratorA = cutlass::transform::threadblock::PredicatedTileIterator<
        cutlass::MatrixShape<MmaCore::Shape::kM, MmaCore::Shape::kK>, ElementA, LayoutA, 1,
        typename MmaCore::IteratorThreadMapA, kAlignmentA>;

private:
    static constexpr int ColumnsInterleaved = LayoutB::kColumnsInterleaved;
    static constexpr int RowsPerTile = LayoutB::kRowsPerTile;
    static_assert(!(MmaCore::Shape::kN % ColumnsInterleaved), "");
    static_assert(RowsPerTile == MmaCore::Shape::kK, "");

    using OriginalThreadMap = typename MmaCore::IteratorThreadMapB;
    using OriginalWarpArrangement = typename OriginalThreadMap::Detail::WarpThreadArrangement;
    static_assert(!(OriginalWarpArrangement::kStrided % ColumnsInterleaved), "");

    using GmemIteratorShape
        = MatrixShape<MmaCore::Shape::kK * ColumnsInterleaved, MmaCore::Shape::kN / ColumnsInterleaved>;
    using GmemThreadMapB = transform::PitchLinearWarpRakedThreadMap<
        layout::PitchLinearShape<GmemIteratorShape::kRow, GmemIteratorShape::kColumn>, OriginalThreadMap::kThreads,
        layout::PitchLinearShape<OriginalWarpArrangement::kContiguous * ColumnsInterleaved,
            OriginalWarpArrangement::kStrided / ColumnsInterleaved>,
        MmaCore::kAccessSizeInBits / sizeof_bits<ElementB>::value>;

public:
    // Define iterators over tiles from the B operand
    using IteratorB = cutlass::transform::threadblock::PredicatedTileIterator<GmemIteratorShape, ElementB,
        layout::ColumnMajor, 0, GmemThreadMapB, kAlignmentB>;

    // ThreadMap for scale iterator
    static_assert((MmaCore::Shape::kN % kAlignmentScale) == 0, "");
    using IteratorScaleThreadMap
        = transform::PitchLinearStripminedThreadMap<layout::PitchLinearShape<MmaCore::Shape::kN, 1>,
            MmaCore::Shape::kN / kAlignmentScale, kAlignmentScale>;

    // Define iterators over tiles from the scale operand
    using IteratorScale
        = cutlass::transform::threadblock::PredicatedTileIterator<cutlass::MatrixShape<1, MmaCore::Shape::kN>,
            ElementScale, LayoutScale, 0, IteratorScaleThreadMap, kAlignmentScale>;

    using SmemScaleType = typename platform::conditional<arch_has_bf16_mma, ElementScale, half_t>::type;
    using SmemIteratorScale
        = cutlass::transform::threadblock::PredicatedTileIterator<cutlass::MatrixShape<1, MmaCore::Shape::kN>,
            SmemScaleType, LayoutScale, 0, IteratorScaleThreadMap, kAlignmentScale>;

    using Converters = SetConverters<IteratorB, typename MmaCore::MmaPolicy::Operator, Operator>;

    // Define the threadblock-scoped pipelined matrix multiply
    using ThreadblockMma = cutlass::gemm::threadblock::DqMmaPipelined<typename MmaCore::Shape, IteratorA,
        typename MmaCore::SmemIteratorA, IteratorB, typename MmaCore::SmemIteratorB, IteratorScale, SmemIteratorScale,
        ElementAccumulator, layout::RowMajor, typename MmaCore::MmaPolicy, typename Converters::TransformAfterLDG,
        typename Converters::TransformAfterLDS, OperatorInfo::QuantOp>;
};

} // namespace threadblock
} // namespace gemm
} // namespace cutlass
