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#include "cutlass_unit_test.h"

#include <cute/tensor.hpp>

#include "../cooperative_gemm_common.hpp"

using namespace cute;

TEST(SM80_CuTe_Ampere, CooperativeGemm1_Half_MMA) {
  using value_type = cutlass::half_t;

  constexpr uint32_t m = 64;
  constexpr uint32_t n = 64;
  constexpr uint32_t k = 64;

  constexpr uint32_t thread_block_size = 128;

  using tiled_mma_t =
      TiledMMA<
        MMA_Atom<SM80_16x8x8_F16F16F16F16_TN>,
        Layout<Shape<_2, _2, _1>>
      >;

  test_cooperative_gemm_col_major_layout<m, n, k, thread_block_size, tiled_mma_t, value_type>();
}

TEST(SM80_CuTe_Ampere, CooperativeGemm2_Double_MMA) {
  using value_type = double;

  constexpr uint32_t m = 64;
  constexpr uint32_t n = 64;
  constexpr uint32_t k = 64;

  constexpr uint32_t thread_block_size = 128;

  using tiled_mma_t =
      TiledMMA<
        MMA_Atom<SM80_8x8x4_F64F64F64F64_TN>,
         Layout<Shape<_2,_2,_1>>
      >;

  test_cooperative_gemm_col_major_layout<m, n, k, thread_block_size, tiled_mma_t, value_type>();
}

TEST(SM80_CuTe_Ampere, CooperativeGemm3_Half_MMA_CustomSmemLayouts) {
  using value_type = cutlass::half_t;

  constexpr uint32_t m = 128;
  constexpr uint32_t n = 128;
  constexpr uint32_t k = 128;

  constexpr uint32_t thread_block_size = 128;

  using tiled_mma_t =
    TiledMMA<
      MMA_Atom<SM80_16x8x16_F16F16F16F16_TN>,
      Layout<Shape<_2, _2, _1>>, // 2x2x1 thread group
      Tile<_32, _32, _16> // 32x32x16 MMA for LDSM, 1x2x1 value group`
    >;

  using smem_a_atom_layout_t = Layout<Shape<_64, _8>, Stride< _1,_64>>;
  using smem_b_atom_layout_t = Layout<Shape< _8,_32>, Stride<_32, _1>>;
  using smem_c_atom_layout_t = decltype(make_layout(make_shape(Int<m>{}, Int<n>{})));

  test_cooperative_gemm_col_major_layout<smem_a_atom_layout_t,
                                         smem_b_atom_layout_t,
                                         smem_c_atom_layout_t,
                                         m,
                                         n,
                                         k,
                                         thread_block_size,
                                         tiled_mma_t,
                                         128,
                                         value_type,
                                         value_type,
                                         value_type>();
}

TEST(SM80_CuTe_Ampere, CooperativeGemm4_Half_MMA_SwizzledSmemLayouts) {
  using value_type = cutlass::half_t;

  constexpr uint32_t m = 128;
  constexpr uint32_t n = 128;
  constexpr uint32_t k = 128;

  constexpr uint32_t thread_block_size = 128;

  using tiled_mma_t =
    TiledMMA<
      MMA_Atom<SM80_16x8x16_F16F16F16F16_TN>,
      Layout<Shape<_2, _2, _1>>, // 2x2x1 thread group
      Tile<_32, _32, _16> // 32x32x16 MMA for LDSM, 1x2x1 value group`
    >;

  // RowMajor
  using smem_rowmajor_atom_layout_t = decltype(
    composition(Swizzle<3,3,3>{},
                Layout<Shape < _8,_64>,
                       Stride<_64, _1>>{}));
  // ColMajor
  using smem_colmajor_atom_layout_t = decltype(
    composition(Swizzle<3,3,3>{},
                Layout<Shape <_64, _8>,
                       Stride< _1,_64>>{}));
  using smem_a_atom_layout_t = smem_rowmajor_atom_layout_t;
  using smem_b_atom_layout_t = smem_colmajor_atom_layout_t;
  using smem_c_atom_layout_t = decltype(make_layout(make_shape(Int<m>{}, Int<n>{}), GenRowMajor{}));

  using gmem_a_layout_t = decltype(make_layout(make_shape(Int<m> {}, Int<k> {}), GenRowMajor{}));
  using gmem_b_layout_t = decltype(make_layout(make_shape(Int<n> {}, Int<k> {}), GenColMajor{}));
  using gmem_c_layout_t = decltype(make_layout(make_shape(Int<m> {}, Int<n> {}), GenRowMajor{}));

  using smem_a_atom_layout_t = smem_a_atom_layout_t;
  using smem_a_layout_t = decltype(tile_to_shape(
      smem_a_atom_layout_t{},
      make_shape(shape<0>(gmem_a_layout_t{}), shape<1>(gmem_a_layout_t{})))
  );

  using smem_b_atom_layout_t = smem_b_atom_layout_t;
  using smem_b_layout_t = decltype(tile_to_shape(
      smem_b_atom_layout_t{},
      make_shape(shape<0>(gmem_b_layout_t{}), shape<1>(gmem_b_layout_t{})))
  );

  using smem_c_atom_layout_t = smem_c_atom_layout_t;
  using smem_c_layout_t = decltype(tile_to_shape(
      smem_c_atom_layout_t{},
      make_shape(shape<0>(gmem_c_layout_t{}), shape<1>(gmem_c_layout_t{})))
  );

  test_cooperative_gemm<gmem_a_layout_t,
                        gmem_b_layout_t,
                        gmem_c_layout_t,
                        smem_a_layout_t,
                        smem_b_layout_t,
                        smem_c_layout_t,
                        SM75_U32x4_LDSM_N, // A
                        SM75_U16x8_LDSM_T, // B
                        AutoVectorizingCopyWithAssumedAlignment<128>, // C
                        thread_block_size,
                        tiled_mma_t,
                        128,
                        value_type,
                        value_type,
                        value_type>();
}

TEST(SM80_CuTe_Ampere, CooperativeGemm5_Double_MMA_SwizzledSmemLayouts) {
  using value_type = double;

  constexpr uint32_t m = 128;
  constexpr uint32_t n = 64;
  constexpr uint32_t k = 16;

  constexpr uint32_t thread_block_size = 128;

  using tiled_mma_t =
      TiledMMA<MMA_Atom<SM80_8x8x4_F64F64F64F64_TN>,        // Atom
               Layout<Shape<_2, _2, _1>>,                   // Atom layout
               Tile<Layout<Shape<_16, _2>, Stride<_2, _1>>, // 32x32x4 MMA with perm for load vectorization
                    Layout<Shape<_16, _2>, Stride<_2, _1>>,
                    Underscore>>;

  using smem_a_atom_layout_t = decltype(
      composition(Swizzle<2,2,2>{},
                  Layout<Shape <_16, _4>,
                         Stride< _1,_16>>{})); // M, K
  using smem_b_atom_layout_t = decltype(
      composition(Swizzle<2,2,2>{},
                  Layout<Shape <_16, _4>,
                         Stride< _1,_16>>{})); // N, K
  using smem_c_atom_layout_t = decltype(make_layout(make_shape(Int<m>{}, Int<n>{}), GenRowMajor{}));

  using gmem_a_layout_t = decltype(make_layout(make_shape(Int<m> {}, Int<k> {}), GenRowMajor{}));
  using gmem_b_layout_t = decltype(make_layout(make_shape(Int<n> {}, Int<k> {}), GenColMajor{}));
  using gmem_c_layout_t = decltype(make_layout(make_shape(Int<m> {}, Int<n> {}), GenRowMajor{}));

  using smem_a_atom_layout_t = smem_a_atom_layout_t;
  using smem_a_layout_t = decltype(tile_to_shape(
      smem_a_atom_layout_t{},
      make_shape(shape<0>(gmem_a_layout_t{}), shape<1>(gmem_a_layout_t{})))
  );
  using smem_b_atom_layout_t = smem_b_atom_layout_t;
  using smem_b_layout_t = decltype(tile_to_shape(
      smem_b_atom_layout_t{},
      make_shape(shape<0>(gmem_b_layout_t{}), shape<1>(gmem_b_layout_t{})))
  );
  using smem_c_atom_layout_t = smem_c_atom_layout_t;
  using smem_c_layout_t = decltype(tile_to_shape(
      smem_c_atom_layout_t{},
      make_shape(shape<0>(gmem_c_layout_t{}), shape<1>(gmem_c_layout_t{})))
  );

  test_cooperative_gemm<gmem_a_layout_t,
                        gmem_b_layout_t,
                        gmem_c_layout_t,
                        smem_a_layout_t,
                        smem_b_layout_t,
                        smem_c_layout_t,
                        AutoVectorizingCopyWithAssumedAlignment<128>, // A
                        AutoVectorizingCopyWithAssumedAlignment<128>, // B
                        AutoVectorizingCopyWithAssumedAlignment<128>, // C
                        thread_block_size,
                        tiled_mma_t,
                        128,
                        value_type,
                        value_type,
                        value_type>();
}

TEST(SM80_CuTe_Ampere, CooperativeGemm6_MixedPrecisionFP16FP32_MMA) {
  using TA = cutlass::half_t;
  using TB = cutlass::half_t;
  using TC = float;

  constexpr uint32_t m = 64;
  constexpr uint32_t n = 64;
  constexpr uint32_t k = 64;

  constexpr uint32_t thread_block_size = 128;

  using tiled_mma_t =
      TiledMMA<
        MMA_Atom<SM80_16x8x8_F32F16F16F32_TN>,
        Layout<Shape<_2, _2, _1>>
      >;

  test_cooperative_gemm_col_major_layout<m, n, k, thread_block_size, tiled_mma_t, 128, TA, TB, TC>();
}

TEST(SM80_CuTe_Ampere, CooperativeGemm7_MixedPrecisionBF16FP32_MMA) {
  using TA = cutlass::bfloat16_t;
  using TB = cutlass::bfloat16_t;
  using TC = float;

  constexpr uint32_t m = 64;
  constexpr uint32_t n = 64;
  constexpr uint32_t k = 64;

  constexpr uint32_t thread_block_size = 128;

  using tiled_mma_t =
      TiledMMA<
        MMA_Atom<SM80_16x8x8_F32BF16BF16F32_TN>,
        Layout<Shape<_2, _2, _1>>
      >;

  test_cooperative_gemm_col_major_layout<m, n, k, thread_block_size, tiled_mma_t, 128, TA, TB, TC>();
}

TEST(SM80_CuTe_Ampere, CooperativeGemm8_MixedPrecisionTF32FP32_MMA) {
  using TA = cutlass::tfloat32_t;
  using TB = cutlass::tfloat32_t;
  using TC = float;

  constexpr uint32_t m = 64;
  constexpr uint32_t n = 64;
  constexpr uint32_t k = 64;

  constexpr uint32_t thread_block_size = 128;

  using tiled_mma_t =
      TiledMMA<
        MMA_Atom<SM80_16x8x8_F32TF32TF32F32_TN>,
        Layout<Shape<_2, _2, _1>>
      >;

  test_cooperative_gemm_col_major_layout<m, n, k, thread_block_size, tiled_mma_t, 128, TA, TB, TC>();
}

TEST(SM80_CuTe_Ampere, CooperativeGemm9_C64C64C64_MMA) {

  using TA = cutlass::complex<double>;
  using TB = cutlass::complex<double>;
  using TC = cutlass::complex<double>;

  constexpr uint32_t thread_block_size = 256;
  constexpr int MaxVecBits = 128;

  using tiled_mma_t =
      TiledMMA<
        MMA_Atom<SM80_8x8x4_C64C64C64C64_TN>,
        Layout<Shape<_4, _4, _1>, Stride<_1, _4, _0>>,
        Tile<Underscore, Underscore, Underscore>
      >;

  using ALayout = Layout<Shape<Int<13>,Int<35>>, Stride<Int<44>, Int<1> >>;
  using BLayout = Layout<Shape< Int<7>, Int<35>>, Stride<Int<44>, Int<1> >>;
  using CLayout = Layout<Shape<Int<13>,  Int<7>>, Stride< Int<1>, Int<30>>>;


  test_cooperative_gemm<ALayout,
                        BLayout,
                        CLayout,
                        ALayout,
                        BLayout,
                        CLayout,
                        AutoVectorizingCopyWithAssumedAlignment<MaxVecBits>, // A
                        AutoVectorizingCopyWithAssumedAlignment<MaxVecBits>, // B
                        AutoVectorizingCopyWithAssumedAlignment<MaxVecBits>, // C
                        thread_block_size,
                        tiled_mma_t,
                        MaxVecBits,
                        TA,
                        TB,
                        TC>();

}

TEST(SM80_CuTe_Ampere, CooperativeGemm10_F16F64F16_FMA) {

  using TA = cutlass::half_t;
  using TB = double;
  using TC = cutlass::half_t;

  constexpr uint32_t thread_block_size = 256;
  constexpr int MaxVecBits = 128;

  using tiled_mma_t =
      TiledMMA<
        MMA_Atom<UniversalFMA<half_t, half_t, double, half_t>>,
        Layout<Shape<_16, _16, _1>, Stride<_1, _16, _0>>,
        Tile<Underscore, Underscore, Underscore>
      >;

  using ALayout = Layout<Shape<Int<64>,Int<64>>, Stride<Int<64>, Int< 1>>>;
  using BLayout = Layout<Shape<Int<64>,Int<64>>, Stride<Int< 1>, Int<64>>>;
  using CLayout = Layout<Shape<Int<64>,Int<64>>, Stride<Int< 1>, Int<64>>>;


  test_cooperative_gemm<ALayout,
                        BLayout,
                        CLayout,
                        ALayout,
                        BLayout,
                        CLayout,
                        AutoVectorizingCopyWithAssumedAlignment<MaxVecBits>, // A
                        AutoVectorizingCopyWithAssumedAlignment<MaxVecBits>, // B
                        AutoVectorizingCopyWithAssumedAlignment<MaxVecBits>, // C
                        thread_block_size,
                        tiled_mma_t,
                        MaxVecBits,
                        TA,
                        TB,
                        TC>();
}

TEST(SM80_CuTe_Ampere, CooperativeGemmComposedStride) {

  using T = cute::half_t;

  constexpr uint32_t thread_block_size = 128;
  constexpr int MaxVecBits = 16;

  using tiled_mma_t =
      TiledMMA<
        MMA_Atom<SM80_16x8x16_F16F16F16F16_TN>,
        Layout<Shape<_2, _2, _1>, Stride<_1, _2, _0>>,
        Tile<Underscore, Underscore, Underscore>
      >;

  using swizzle = cute::Swizzle<3, 3, 3>;
  using offset = cute::_0;
  using atom_tile_right = decltype(cute::make_layout(cute::Shape<cute::_8, cute::_64>{}, cute::LayoutRight{}));
  using FP16AtomLayoutRight = decltype(cute::composition(swizzle{}, offset{}, atom_tile_right{}));

  using shape = cute::Shape<cute::Int<128>, cute::Int<128>>;
  using global_a_layout = decltype(cute::make_layout(shape{}, cute::LayoutRight{}));
  using global_b_layout = decltype(cute::make_layout(shape{}, cute::LayoutLeft{}));
  using global_c_layout = decltype(cute::make_layout(shape{}, cute::LayoutRight{}));

  // This is for A row major, B col major according to CUTLASS default configs
  using ALayout = decltype(cute::tile_to_shape(FP16AtomLayoutRight{}, global_a_layout{}));
  using BLayout = decltype(cute::tile_to_shape(FP16AtomLayoutRight{}, global_b_layout{}));
  using CLayout = global_c_layout;

  test_cooperative_gemm<ALayout,
                        BLayout,
                        CLayout,
                        ALayout,
                        BLayout,
                        CLayout,
                        AutoVectorizingCopyWithAssumedAlignment<MaxVecBits>, // A
                        AutoVectorizingCopyWithAssumedAlignment<MaxVecBits>, // B
                        AutoVectorizingCopyWithAssumedAlignment<MaxVecBits>, // C
                        thread_block_size,
                        tiled_mma_t,
                        MaxVecBits,
                        T,
                        T,
                        T>();
}

TEST(SM89_CuTe_Ampere, CooperativeGemm8_MixedPrecisionTF32FP32_Transform) {
  using TA = cutlass::tfloat32_t;
  using TB = cutlass::tfloat32_t;
  using TC = float;

  constexpr uint32_t m = 9;
  constexpr uint32_t n = 9;
  constexpr uint32_t k = 9;

  constexpr uint32_t thread_block_size = 64;

  using tiled_mma_t =
      TiledMMA<
        MMA_Atom<SM80_16x8x8_F32TF32TF32F32_TN>,
        Layout<Shape<_1, _2, _1>>
      >;

  test_cooperative_gemm_col_major_layout<m, n, k, thread_block_size, tiled_mma_t, 16, TA, TB, TC>(cute::negate{}, cute::negate{}, cute::negate{}, cute::negate{});
}
