cutlass/test/unit/cute/hopper/cooperative_gemm.cu
Yujia Zhai cc3c29a81a
CUTLASS 3.6.0 (#1850)
* v3.6

* update changelog

* update readme

* fix typo

* fixing typos

* hopper gemm with weight prefetch

---------

Co-authored-by: yuzhai <yuzhai@nvidia.com>
Co-authored-by: Haicheng Wu <haichengw@nvidia.com>
2024-10-09 15:33:27 -04:00

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/***************************************************************************************************
* Copyright (c) 2023 - 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
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* modification, are permitted provided that the following conditions are met:
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* 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
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* 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
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**************************************************************************************************/
#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;
#define USE_FP8 1
#if USE_FP8
TEST(SM90_CuTe_Hopper, CooperativeGemmTilingF8) {
using TA = uint8_t;
using TB = uint8_t;
using TC = uint32_t;
constexpr uint32_t thread_block_size = 128;
constexpr int MaxVecBits = 16;
using tiled_mma_t =
TiledMMA<
MMA_Atom<SM80_16x8x32_S32S8S8S32_TN>,
Layout<Shape<_2, _2, _1>, Stride<_1, _2, _0>>,
Tile<_32, _32, _32>
>;
using swizzle = Swizzle<2, 4, 3>;
// This is for A row major, B col major according to CUTLASS default configs
using ALayout = decltype(composition(swizzle{}, Layout<Shape<_64, _64>, Stride<_64, _1>>{}));
using BLayout = decltype(composition(swizzle{}, Layout<Shape<_64, _64>, Stride<_1, _64>>{}));
using CLayout = decltype(make_layout(Shape<_64, _64>{}, LayoutLeft{}));
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>();
}
#else
TEST(SM90_CuTe_Hopper, CooperativeGemmTilingF16) {
using TA = half_t;
using TB = half_t;
using TC = half_t;
constexpr uint32_t thread_block_size = 64;
constexpr int MaxVecBits = 16;
using tiled_mma_t =
TiledMMA<
MMA_Atom<SM80_16x8x16_F16F16F16F16_TN>,
Layout<Shape<_2, _1, _1>, Stride<_1, _0, _0>>,
Tile<_32, _32, _32>
>;
using swizzle = Swizzle<3, 3, 3>;
// This is for A row major, B col major according to CUTLASS default configs
using ALayout = decltype(composition(swizzle{},
Layout<Shape<_64, _64>, Stride<_64, _1>>{}));
using BLayout = decltype(composition(swizzle{},
Layout<Shape<_64, _64>, Stride<_1, _64>>{}));
using CLayout = decltype(make_layout(Shape<_64, _64>{}, LayoutLeft{}));
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>();
}
#endif