26b7450023
* add support for sm89 in cute and the unit tests * support fp16 accmulator for sm89 fp8 mma * format code
683 lines
22 KiB
Plaintext
683 lines
22 KiB
Plaintext
/***************************************************************************************************
|
|
* Copyright (c) 2023 - 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
|
* SPDX-License-Identifier: BSD-3-Clause
|
|
*
|
|
* Redistribution and use in source and binary forms, with or without
|
|
* modification, are permitted provided that the following conditions are met:
|
|
*
|
|
* 1. Redistributions of source code must retain the above copyright notice, this
|
|
* list of conditions and the following disclaimer.
|
|
*
|
|
* 2. Redistributions in binary form must reproduce the above copyright notice,
|
|
* this list of conditions and the following disclaimer in the documentation
|
|
* and/or other materials provided with the distribution.
|
|
*
|
|
* 3. Neither the name of the copyright holder nor the names of its
|
|
* contributors may be used to endorse or promote products derived from
|
|
* this software without specific prior written permission.
|
|
*
|
|
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
|
|
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
|
|
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
|
|
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
|
|
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
|
|
* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
|
|
* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
|
|
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
|
|
* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
|
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
|
*
|
|
**************************************************************************************************/
|
|
|
|
#include "cutlass_unit_test.h"
|
|
|
|
#include <cute/tensor.hpp>
|
|
#include <cute/swizzle.hpp> // cute::Swizzle
|
|
#include <cute/swizzle_layout.hpp> // cute::compose(cute::Swizzle)
|
|
|
|
#include "../cooperative_gemm_common.hpp"
|
|
|
|
using namespace cute;
|
|
|
|
TEST(SM80_CuTe_Ampere, CooperativeGemm1_Half_MMA) {
|
|
constexpr uint32_t thread_block_size = 128;
|
|
using value_type = cutlass::half_t;
|
|
|
|
auto shape_mnk = Shape<_64, _64, _64>{};
|
|
auto tiled_mma =
|
|
TiledMMA<
|
|
MMA_Atom<SM80_16x8x8_F16F16F16F16_TN>,
|
|
Layout<Shape<_2, _2, _1>>
|
|
>{};
|
|
|
|
test_cooperative_gemm_col_major_layout<thread_block_size, value_type>(shape_mnk, tiled_mma);
|
|
}
|
|
|
|
TEST(SM80_CuTe_Ampere, CooperativeGemm2_Double_MMA) {
|
|
constexpr uint32_t thread_block_size = 128;
|
|
using value_type = double;
|
|
|
|
auto shape_mnk = Shape<_64, _64, _64>{};
|
|
auto tiled_mma =
|
|
TiledMMA<
|
|
MMA_Atom<SM80_8x8x4_F64F64F64F64_TN>,
|
|
Layout<Shape<_2,_2,_1>>
|
|
>{};
|
|
|
|
test_cooperative_gemm_col_major_layout<thread_block_size, value_type>(shape_mnk, tiled_mma);
|
|
}
|
|
|
|
TEST(SM80_CuTe_Ampere, CooperativeGemm3_Half_MMA_CustomSmemLayouts) {
|
|
constexpr uint32_t thread_block_size = 128;
|
|
constexpr uint32_t max_vec_bits = 128;
|
|
using value_type = cutlass::half_t;
|
|
|
|
auto shape_mnk = Shape<_128, _128, _128>{};
|
|
auto tiled_mma =
|
|
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`
|
|
>{};
|
|
|
|
auto smem_a_atom_layout = Layout<Shape<_64, _8>, Stride< _1,_64>>{};
|
|
auto smem_b_atom_layout = Layout<Shape< _8,_32>, Stride<_32, _1>>{};
|
|
auto smem_c_atom_layout = make_layout(select<0,1>(shape_mnk));
|
|
|
|
test_cooperative_gemm_col_major_layout<thread_block_size,
|
|
max_vec_bits,
|
|
value_type,
|
|
value_type,
|
|
value_type>
|
|
(smem_a_atom_layout,
|
|
smem_b_atom_layout,
|
|
smem_c_atom_layout,
|
|
shape_mnk, tiled_mma);
|
|
}
|
|
|
|
TEST(SM80_CuTe_Ampere, CooperativeGemm4_Half_MMA_SwizzledSmemLayouts) {
|
|
constexpr uint32_t thread_block_size = 128;
|
|
constexpr uint32_t max_vec_bits = 128;
|
|
using value_type = cutlass::half_t;
|
|
|
|
auto shape_mnk = Shape<_128, _128, _128>{};
|
|
auto tiled_mma =
|
|
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
|
|
auto smem_a_atom_layout =
|
|
composition(Swizzle<3,3,3>{},
|
|
Layout<Shape < _8,_64>,
|
|
Stride<_64, _1>>{});
|
|
// ColMajor
|
|
auto smem_b_atom_layout =
|
|
composition(Swizzle<3,3,3>{},
|
|
Layout<Shape <_64, _8>,
|
|
Stride< _1,_64>>{});
|
|
|
|
auto smem_c_atom_layout = make_layout(select<0, 1>(shape_mnk), GenRowMajor{});
|
|
|
|
auto gmem_a_layout = make_layout(select<0, 2>(shape_mnk), GenRowMajor{});
|
|
auto gmem_b_layout = make_layout(select<1, 2>(shape_mnk), GenColMajor{});
|
|
auto gmem_c_layout = make_layout(select<0, 1>(shape_mnk), GenRowMajor{});
|
|
|
|
auto smem_a_layout = tile_to_shape(
|
|
smem_a_atom_layout,
|
|
make_shape(shape<0>(gmem_a_layout), shape<1>(gmem_a_layout)));
|
|
|
|
auto smem_b_layout = tile_to_shape(
|
|
smem_b_atom_layout,
|
|
make_shape(shape<0>(gmem_b_layout), shape<1>(gmem_b_layout)));
|
|
|
|
auto smem_c_layout = tile_to_shape(
|
|
smem_c_atom_layout,
|
|
make_shape(shape<0>(gmem_c_layout), shape<1>(gmem_c_layout)));
|
|
|
|
test_cooperative_gemm<thread_block_size,
|
|
max_vec_bits,
|
|
value_type,
|
|
value_type,
|
|
value_type>
|
|
(gmem_a_layout,
|
|
gmem_b_layout,
|
|
gmem_c_layout,
|
|
smem_a_layout,
|
|
smem_b_layout,
|
|
smem_c_layout,
|
|
tiled_mma,
|
|
cute::identity{}, // TransformLoadA
|
|
cute::identity{}, // TransformLoadB
|
|
cute::identity{}, // TransformLoadC
|
|
cute::identity{}, // TransformStoreC
|
|
SM75_U32x4_LDSM_N{}, // A
|
|
SM75_U16x8_LDSM_T{}, // B
|
|
AutoVectorizingCopyWithAssumedAlignment<128>{}); // C
|
|
}
|
|
|
|
TEST(SM80_CuTe_Ampere, CooperativeGemm5_Double_MMA_SwizzledSmemLayouts) {
|
|
constexpr uint32_t thread_block_size = 128;
|
|
constexpr uint32_t max_vec_bits = 128;
|
|
using value_type = double;
|
|
|
|
auto shape_mnk = Shape<_128, _64, _16>{};
|
|
auto tiled_mma =
|
|
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>>{};
|
|
|
|
auto smem_a_atom_layout =
|
|
composition(Swizzle<2,2,2>{},
|
|
Layout<Shape <_16, _4>,
|
|
Stride< _1,_16>>{}); // M, K
|
|
auto smem_b_atom_layout =
|
|
composition(Swizzle<2,2,2>{},
|
|
Layout<Shape <_16, _4>,
|
|
Stride< _1,_16>>{}); // N, K
|
|
|
|
auto smem_c_atom_layout = make_layout(select<0, 1>(shape_mnk), GenRowMajor{});
|
|
|
|
auto gmem_a_layout = make_layout(select<0, 2>(shape_mnk), GenRowMajor{});
|
|
auto gmem_b_layout = make_layout(select<1, 2>(shape_mnk), GenColMajor{});
|
|
auto gmem_c_layout = make_layout(select<0, 1>(shape_mnk), GenRowMajor{});
|
|
|
|
auto smem_a_layout = tile_to_shape(
|
|
smem_a_atom_layout,
|
|
make_shape(shape<0>(gmem_a_layout), shape<1>(gmem_a_layout)));
|
|
auto smem_b_layout = tile_to_shape(
|
|
smem_b_atom_layout,
|
|
make_shape(shape<0>(gmem_b_layout), shape<1>(gmem_b_layout)));
|
|
auto smem_c_layout = tile_to_shape(
|
|
smem_c_atom_layout,
|
|
make_shape(shape<0>(gmem_c_layout), shape<1>(gmem_c_layout)));
|
|
|
|
test_cooperative_gemm<thread_block_size,
|
|
max_vec_bits,
|
|
value_type,
|
|
value_type,
|
|
value_type>
|
|
(gmem_a_layout,
|
|
gmem_b_layout,
|
|
gmem_c_layout,
|
|
smem_a_layout,
|
|
smem_b_layout,
|
|
smem_c_layout,
|
|
tiled_mma);
|
|
}
|
|
|
|
TEST(SM80_CuTe_Ampere, CooperativeGemm6_MixedPrecisionFP16FP32_MMA) {
|
|
constexpr uint32_t thread_block_size = 128;
|
|
constexpr uint32_t max_vec_bits = 128;
|
|
using TA = cutlass::half_t;
|
|
using TB = cutlass::half_t;
|
|
using TC = float;
|
|
|
|
auto shape_mnk = Shape<_64, _64, _64>{};
|
|
auto tiled_mma =
|
|
TiledMMA<
|
|
MMA_Atom<SM80_16x8x8_F32F16F16F32_TN>,
|
|
Layout<Shape<_2, _2, _1>>
|
|
>{};
|
|
|
|
test_cooperative_gemm_col_major_layout<thread_block_size, max_vec_bits, TA, TB, TC>(shape_mnk, tiled_mma);
|
|
}
|
|
|
|
TEST(SM80_CuTe_Ampere, CooperativeGemm7_MixedPrecisionBF16FP32_MMA) {
|
|
constexpr uint32_t thread_block_size = 128;
|
|
constexpr uint32_t max_vec_bits = 128;
|
|
using TA = cutlass::bfloat16_t;
|
|
using TB = cutlass::bfloat16_t;
|
|
using TC = float;
|
|
|
|
auto shape_mnk = Shape<_64, _64, _64>{};
|
|
auto tiled_mma =
|
|
TiledMMA<
|
|
MMA_Atom<SM80_16x8x8_F32BF16BF16F32_TN>,
|
|
Layout<Shape<_2, _2, _1>>
|
|
>{};
|
|
|
|
test_cooperative_gemm_col_major_layout<thread_block_size, max_vec_bits, TA, TB, TC>(shape_mnk, tiled_mma);
|
|
}
|
|
|
|
TEST(SM80_CuTe_Ampere, CooperativeGemm8_MixedPrecisionTF32FP32_MMA) {
|
|
constexpr uint32_t thread_block_size = 128;
|
|
constexpr uint32_t max_vec_bits = 128;
|
|
using TA = cutlass::tfloat32_t;
|
|
using TB = cutlass::tfloat32_t;
|
|
using TC = float;
|
|
|
|
auto shape_mnk = Shape<_64, _64, _64>{};
|
|
auto tiled_mma =
|
|
TiledMMA<
|
|
MMA_Atom<SM80_16x8x8_F32TF32TF32F32_TN>,
|
|
Layout<Shape<_2, _2, _1>>
|
|
>{};
|
|
|
|
test_cooperative_gemm_col_major_layout<thread_block_size, max_vec_bits, TA, TB, TC>(shape_mnk, tiled_mma);
|
|
}
|
|
|
|
TEST(SM80_CuTe_Ampere, CooperativeGemm9_C64C64C64_MMA_Dynamic) {
|
|
constexpr uint32_t thread_block_size = 256;
|
|
constexpr int MaxVecBits = 128;
|
|
using TA = cutlass::complex<double>;
|
|
using TB = cutlass::complex<double>;
|
|
using TC = cutlass::complex<double>;
|
|
|
|
auto tiled_mma =
|
|
TiledMMA<
|
|
MMA_Atom<SM80_8x8x4_C64C64C64C64_TN>,
|
|
Layout<Shape<_4, _4, _1>, Stride<_1, _4, _0>>,
|
|
Tile<Underscore, Underscore, Underscore>
|
|
>{};
|
|
|
|
auto a_layout = make_layout(Shape<Int<13>,Int<35>>{}, make_stride(44, 1));
|
|
auto b_layout = make_layout(Shape< Int<7>, Int<35>>{}, make_stride(44, 1));
|
|
auto c_layout = make_layout(Shape<Int<13>, Int<7>>{}, make_stride(1, 30));
|
|
|
|
test_cooperative_gemm<thread_block_size,
|
|
MaxVecBits,
|
|
TA, TB, TC>
|
|
(a_layout,
|
|
b_layout,
|
|
c_layout,
|
|
a_layout,
|
|
b_layout,
|
|
c_layout,
|
|
tiled_mma);
|
|
}
|
|
|
|
TEST(SM80_CuTe_Ampere, CooperativeGemm9_C64C64C64_MMA) {
|
|
constexpr uint32_t thread_block_size = 256;
|
|
constexpr int MaxVecBits = 128;
|
|
using TA = cutlass::complex<double>;
|
|
using TB = cutlass::complex<double>;
|
|
using TC = cutlass::complex<double>;
|
|
|
|
auto tiled_mma =
|
|
TiledMMA<
|
|
MMA_Atom<SM80_8x8x4_C64C64C64C64_TN>,
|
|
Layout<Shape<_4, _4, _1>, Stride<_1, _4, _0>>,
|
|
Tile<Underscore, Underscore, Underscore>
|
|
>{};
|
|
|
|
auto a_layout = Layout<Shape<Int<13>,Int<35>>, Stride<Int<44>, Int<1> >>{};
|
|
auto b_layout = Layout<Shape< Int<7>, Int<35>>, Stride<Int<44>, Int<1> >>{};
|
|
auto c_layout = Layout<Shape<Int<13>, Int<7>>, Stride< Int<1>, Int<30>>>{};
|
|
|
|
test_cooperative_gemm<thread_block_size,
|
|
MaxVecBits,
|
|
TA, TB, TC>
|
|
(a_layout,
|
|
b_layout,
|
|
c_layout,
|
|
a_layout,
|
|
b_layout,
|
|
c_layout,
|
|
tiled_mma);
|
|
}
|
|
|
|
TEST(SM80_CuTe_Ampere, CooperativeGemm10_F16F64F16_FMA) {
|
|
|
|
constexpr uint32_t thread_block_size = 256;
|
|
constexpr int MaxVecBits = 128;
|
|
using TA = cutlass::half_t;
|
|
using TB = double;
|
|
using TC = cutlass::half_t;
|
|
|
|
auto tiled_mma =
|
|
TiledMMA<
|
|
MMA_Atom<UniversalFMA<half_t, half_t, double, half_t>>,
|
|
Layout<Shape<_16, _16, _1>, Stride<_1, _16, _0>>,
|
|
Tile<Underscore, Underscore, Underscore>
|
|
>{};
|
|
|
|
auto a_layout = Layout<Shape<Int<64>,Int<64>>, Stride<Int<64>, Int< 1>>>{};
|
|
auto b_layout = Layout<Shape<Int<64>,Int<64>>, Stride<Int< 1>, Int<64>>>{};
|
|
auto c_layout = Layout<Shape<Int<64>,Int<64>>, Stride<Int< 1>, Int<64>>>{};
|
|
|
|
test_cooperative_gemm<thread_block_size,
|
|
MaxVecBits,
|
|
TA,
|
|
TB,
|
|
TC>
|
|
(a_layout,
|
|
b_layout,
|
|
c_layout,
|
|
a_layout,
|
|
b_layout,
|
|
c_layout,
|
|
tiled_mma);
|
|
}
|
|
|
|
TEST(SM80_CuTe_Ampere, CooperativeGemmComposedStride) {
|
|
|
|
constexpr uint32_t thread_block_size = 128;
|
|
constexpr int MaxVecBits = 16;
|
|
using T = cute::half_t;
|
|
|
|
auto tiled_mma =
|
|
TiledMMA<
|
|
MMA_Atom<SM80_16x8x16_F16F16F16F16_TN>,
|
|
Layout<Shape<_2, _2, _1>, Stride<_1, _2, _0>>,
|
|
Tile<Underscore, Underscore, Underscore>
|
|
>{};
|
|
|
|
auto swizzle = cute::Swizzle<3, 3, 3>{};
|
|
auto offset = cute::_0{};
|
|
auto atom_tile_right = cute::make_layout(cute::Shape<cute::_8, cute::_64>{}, cute::LayoutRight{});
|
|
auto FP16AtomLayoutRight = cute::composition(swizzle, offset, atom_tile_right);
|
|
|
|
auto shape = cute::Shape<cute::Int<128>, cute::Int<128>>{};
|
|
auto global_a_layout = cute::make_layout(shape, cute::LayoutRight{});
|
|
auto global_b_layout = cute::make_layout(shape, cute::LayoutLeft{});
|
|
auto global_c_layout = cute::make_layout(shape, cute::LayoutRight{});
|
|
|
|
// This is for A row major, B col major according to CUTLASS default configs
|
|
auto a_layout = cute::tile_to_shape(FP16AtomLayoutRight, global_a_layout);
|
|
auto b_layout = cute::tile_to_shape(FP16AtomLayoutRight, global_b_layout);
|
|
auto c_layout = global_c_layout;
|
|
|
|
test_cooperative_gemm<thread_block_size,
|
|
MaxVecBits,
|
|
T, T, T>
|
|
(a_layout,
|
|
b_layout,
|
|
c_layout,
|
|
a_layout,
|
|
b_layout,
|
|
c_layout,
|
|
tiled_mma);
|
|
}
|
|
|
|
TEST(SM80_CuTe_Ampere, CooperativeGemm8_MixedPrecisionTF32FP32_Transform) {
|
|
constexpr uint32_t thread_block_size = 64;
|
|
constexpr uint32_t max_vec_bits = 16;
|
|
using TA = cutlass::tfloat32_t;
|
|
using TB = cutlass::tfloat32_t;
|
|
using TC = float;
|
|
|
|
auto shape_mnk = Shape<C<9>, C<9>, C<9>>{};
|
|
auto tiled_mma =
|
|
TiledMMA<
|
|
MMA_Atom<SM80_16x8x8_F32TF32TF32F32_TN>,
|
|
Layout<Shape<_1, _2, _1>>
|
|
>{};
|
|
|
|
test_cooperative_gemm_col_major_layout<thread_block_size, max_vec_bits, TA, TB, TC>
|
|
(shape_mnk, tiled_mma, cute::negate{}, cute::negate{}, cute::negate{}, cute::negate{});
|
|
}
|
|
|
|
TEST(SM80_CuTe_Ampere, CooperativeGemm8_MixedPrecisionTF32FP32_TransformPrecision) {
|
|
constexpr uint32_t thread_block_size = 64;
|
|
constexpr uint32_t max_vec_bits = 16;
|
|
using InputTA = cutlass::half_t;
|
|
using InputTB = cutlass::half_t;
|
|
using InputTC = cutlass::half_t;
|
|
|
|
using ComputeTA = cutlass::tfloat32_t;
|
|
using ComputeTB = cutlass::tfloat32_t;
|
|
using ComputeTC = float;
|
|
|
|
auto shape_mnk = Shape<C<9>, C<9>, C<9>>{};
|
|
auto tiled_mma =
|
|
TiledMMA<
|
|
MMA_Atom<SM80_16x8x8_F32TF32TF32F32_TN>,
|
|
Layout<Shape<_1, _2, _1>>
|
|
>{};
|
|
|
|
test_cooperative_gemm_col_major_layout<thread_block_size, max_vec_bits, InputTA, InputTB, InputTC>
|
|
(shape_mnk, tiled_mma);
|
|
}
|
|
|
|
TEST(SM80_CuTe_Ampere, CooperativeGemm8_MixedPrecisionTF32FP32_TransformPrecisionReg) {
|
|
constexpr uint32_t thread_block_size = 64;
|
|
constexpr uint32_t max_vec_bits = 16;
|
|
using InputTA = cutlass::half_t;
|
|
using InputTB = cutlass::half_t;
|
|
using InputTC = cutlass::half_t;
|
|
|
|
using ComputeTA = cutlass::tfloat32_t;
|
|
using ComputeTB = cutlass::tfloat32_t;
|
|
using ComputeTC = float;
|
|
|
|
auto shape_mnk = Shape<C<9>, C<9>, C<9>>{};
|
|
auto tiled_mma =
|
|
TiledMMA<
|
|
MMA_Atom<SM80_16x8x8_F32TF32TF32F32_TN>,
|
|
Layout<Shape<_1, _2, _1>>
|
|
>{};
|
|
|
|
test_cooperative_gemm_col_major_layout_rmem_c<thread_block_size, max_vec_bits, InputTA, InputTB, InputTC>
|
|
(shape_mnk, tiled_mma);
|
|
}
|
|
|
|
TEST(SM80_CuTe_Ampere, CooperativeGemm1_Half_MMA_Reg) {
|
|
using value_type = cutlass::half_t;
|
|
|
|
auto shape_mnk = Shape<_64, _64, _64>{};
|
|
|
|
constexpr uint32_t thread_block_size = 128;
|
|
|
|
auto tiled_mma =
|
|
TiledMMA<
|
|
MMA_Atom<SM80_16x8x8_F16F16F16F16_TN>,
|
|
Layout<Shape<_2, _2, _1>>
|
|
>{};
|
|
|
|
test_cooperative_gemm_col_major_layout_rmem_c<thread_block_size, value_type>(shape_mnk, tiled_mma);
|
|
}
|
|
|
|
TEST(SM80_CuTe_Ampere, CooperativeGemm2_Double_MMA_Reg) {
|
|
constexpr uint32_t thread_block_size = 128;
|
|
using value_type = double;
|
|
|
|
auto shape_mnk = Shape<_64, _64, _64>{};
|
|
auto tiled_mma =
|
|
TiledMMA<
|
|
MMA_Atom<SM80_8x8x4_F64F64F64F64_TN>,
|
|
Layout<Shape<_2,_2,_1>>
|
|
>{};
|
|
|
|
test_cooperative_gemm_col_major_layout_rmem_c<thread_block_size, value_type>(shape_mnk, tiled_mma);
|
|
}
|
|
|
|
TEST(SM80_CuTe_Ampere, CooperativeGemm2_Double_MMA_Predicated_Reg) {
|
|
constexpr uint32_t thread_block_size = 128;
|
|
using value_type = double;
|
|
|
|
auto shape_mnk = Shape<C<62>, C<62>, C<62>>{};
|
|
auto tiled_mma =
|
|
TiledMMA<
|
|
MMA_Atom<SM80_8x8x4_F64F64F64F64_TN>,
|
|
Layout<Shape<_2,_2,_1>>
|
|
>{};
|
|
|
|
test_cooperative_gemm_col_major_layout_rmem_c<thread_block_size, value_type>(shape_mnk, tiled_mma);
|
|
}
|
|
|
|
TEST(SM80_CuTe_Ampere, CooperativeGemmLDSMx2) {
|
|
|
|
constexpr uint32_t thread_block_size = 128;
|
|
constexpr int MaxVecBits = 128;
|
|
using TA = cute::half_t;
|
|
using TB = cute::half_t;
|
|
using TC = float;
|
|
|
|
auto tiled_mma =
|
|
TiledMMA<
|
|
MMA_Atom<SM80_16x8x16_F32F16F16F32_TN>,
|
|
Layout<Shape<_2, _2, _1>, Stride<_1, _2, _0>>,
|
|
Tile<_32, _16, _16>
|
|
>{};
|
|
|
|
auto global_a_layout = make_layout(Shape<_32, _32>{}, LayoutRight{});
|
|
auto global_b_layout = make_layout(Shape<_16, _32>{}, LayoutRight{});
|
|
auto global_c_layout = make_layout(Shape<_32, _16>{}, LayoutRight{});
|
|
|
|
test_cooperative_gemm<thread_block_size,
|
|
MaxVecBits,
|
|
TA, TB, TC>
|
|
(global_a_layout,
|
|
global_b_layout,
|
|
global_c_layout,
|
|
global_a_layout,
|
|
global_b_layout,
|
|
global_c_layout,
|
|
tiled_mma,
|
|
identity{},
|
|
identity{},
|
|
identity{},
|
|
identity{},
|
|
SM75_U32x4_LDSM_N{},
|
|
SM75_U32x2_LDSM_N{});
|
|
}
|
|
|
|
TEST(SM89_CuTe_Ada, CooperativeGemm_e4m3e4m3f32_MMA) {
|
|
using TA = cutlass::float_e4m3_t;
|
|
using TB = cutlass::float_e4m3_t;
|
|
using TC = float;
|
|
|
|
constexpr uint32_t thread_block_size = 128;
|
|
constexpr int MaxVecBits = 128;
|
|
|
|
auto shape_mnk = Shape<_64, _64, _64>{};
|
|
auto tiled_mma =
|
|
TiledMMA<
|
|
MMA_Atom<SM89_16x8x32_F32E4M3E4M3F32_TN>,
|
|
Layout<Shape<_2, _2, _1>>
|
|
>{};
|
|
|
|
test_cooperative_gemm_col_major_layout<thread_block_size, MaxVecBits, TA, TB, TC>(shape_mnk, tiled_mma);
|
|
}
|
|
|
|
TEST(SM89_CuTe_Ada, CooperativeGemm_e4m3e5m2f32_MMA) {
|
|
using TA = cutlass::float_e4m3_t;
|
|
using TB = cutlass::float_e5m2_t;
|
|
using TC = float;
|
|
|
|
constexpr uint32_t thread_block_size = 128;
|
|
constexpr int MaxVecBits = 128;
|
|
|
|
auto shape_mnk = Shape<_64, _64, _64>{};
|
|
auto tiled_mma =
|
|
TiledMMA<
|
|
MMA_Atom<SM89_16x8x32_F32E4M3E5M2F32_TN>,
|
|
Layout<Shape<_2, _2, _1>>
|
|
>{};
|
|
|
|
test_cooperative_gemm_col_major_layout<thread_block_size, MaxVecBits, TA, TB, TC>(shape_mnk, tiled_mma);
|
|
}
|
|
|
|
TEST(SM89_CuTe_Ada, CooperativeGemm_e5m2e4m3f32_MMA) {
|
|
using TA = cutlass::float_e5m2_t;
|
|
using TB = cutlass::float_e4m3_t;
|
|
using TC = float;
|
|
|
|
constexpr uint32_t thread_block_size = 128;
|
|
constexpr int MaxVecBits = 128;
|
|
|
|
auto shape_mnk = Shape<_64, _64, _64>{};
|
|
auto tiled_mma =
|
|
TiledMMA<
|
|
MMA_Atom<SM89_16x8x32_F32E5M2E4M3F32_TN>,
|
|
Layout<Shape<_2, _2, _1>>
|
|
>{};
|
|
|
|
test_cooperative_gemm_col_major_layout<thread_block_size, MaxVecBits, TA, TB, TC>(shape_mnk, tiled_mma);
|
|
}
|
|
|
|
TEST(SM89_CuTe_Ada, CooperativeGemm_e5m2e5m2f32_MMA) {
|
|
using TA = cutlass::float_e5m2_t;
|
|
using TB = cutlass::float_e5m2_t;
|
|
using TC = float;
|
|
|
|
constexpr uint32_t thread_block_size = 128;
|
|
constexpr int MaxVecBits = 128;
|
|
|
|
auto shape_mnk = Shape<_64, _64, _64>{};
|
|
auto tiled_mma =
|
|
TiledMMA<
|
|
MMA_Atom<SM89_16x8x32_F32E5M2E5M2F32_TN>,
|
|
Layout<Shape<_2, _2, _1>>
|
|
>{};
|
|
|
|
test_cooperative_gemm_col_major_layout<thread_block_size, MaxVecBits, TA, TB, TC>(shape_mnk, tiled_mma);
|
|
}
|
|
|
|
TEST(SM89_CuTe_Ada, CooperativeGemm_e4m3e4m3f16_MMA) {
|
|
using TA = cutlass::float_e4m3_t;
|
|
using TB = cutlass::float_e4m3_t;
|
|
using TC = cute::half_t;
|
|
|
|
constexpr uint32_t thread_block_size = 128;
|
|
constexpr int MaxVecBits = 128;
|
|
|
|
auto shape_mnk = Shape<_64, _64, _64>{};
|
|
auto tiled_mma =
|
|
TiledMMA<
|
|
MMA_Atom<SM89_16x8x32_F16E4M3E4M3F16_TN>,
|
|
Layout<Shape<_2, _2, _1>>
|
|
>{};
|
|
|
|
test_cooperative_gemm_col_major_layout<thread_block_size, MaxVecBits, TA, TB, TC>(shape_mnk, tiled_mma);
|
|
}
|
|
|
|
TEST(SM89_CuTe_Ada, CooperativeGemm_e4m3e5m2f16_MMA) {
|
|
using TA = cutlass::float_e4m3_t;
|
|
using TB = cutlass::float_e5m2_t;
|
|
using TC = cute::half_t;
|
|
|
|
constexpr uint32_t thread_block_size = 128;
|
|
constexpr int MaxVecBits = 128;
|
|
|
|
auto shape_mnk = Shape<_64, _64, _64>{};
|
|
auto tiled_mma =
|
|
TiledMMA<
|
|
MMA_Atom<SM89_16x8x32_F16E4M3E5M2F16_TN>,
|
|
Layout<Shape<_2, _2, _1>>
|
|
>{};
|
|
|
|
test_cooperative_gemm_col_major_layout<thread_block_size, MaxVecBits, TA, TB, TC>(shape_mnk, tiled_mma);
|
|
}
|
|
|
|
TEST(SM89_CuTe_Ada, CooperativeGemm_e5m2e4m3f16_MMA) {
|
|
using TA = cutlass::float_e5m2_t;
|
|
using TB = cutlass::float_e4m3_t;
|
|
using TC = cute::half_t;
|
|
|
|
constexpr uint32_t thread_block_size = 128;
|
|
constexpr int MaxVecBits = 128;
|
|
|
|
auto shape_mnk = Shape<_64, _64, _64>{};
|
|
auto tiled_mma =
|
|
TiledMMA<
|
|
MMA_Atom<SM89_16x8x32_F16E5M2E4M3F16_TN>,
|
|
Layout<Shape<_2, _2, _1>>
|
|
>{};
|
|
|
|
test_cooperative_gemm_col_major_layout<thread_block_size, MaxVecBits, TA, TB, TC>(shape_mnk, tiled_mma);
|
|
}
|
|
|
|
TEST(SM89_CuTe_Ada, CooperativeGemm_e5m2e5m2f16_MMA) {
|
|
using TA = cutlass::float_e5m2_t;
|
|
using TB = cutlass::float_e5m2_t;
|
|
using TC = cute::half_t;
|
|
|
|
constexpr uint32_t thread_block_size = 128;
|
|
constexpr int MaxVecBits = 128;
|
|
|
|
auto shape_mnk = Shape<_64, _64, _64>{};
|
|
auto tiled_mma =
|
|
TiledMMA<
|
|
MMA_Atom<SM89_16x8x32_F16E5M2E5M2F16_TN>,
|
|
Layout<Shape<_2, _2, _1>>
|
|
>{};
|
|
|
|
test_cooperative_gemm_col_major_layout<thread_block_size, MaxVecBits, TA, TB, TC>(shape_mnk, tiled_mma);
|
|
}
|