cutlass/test/unit/cute/hopper/tma_mcast_load.cu

77 lines
3.5 KiB
Plaintext

/***************************************************************************************************
* Copyright (c) 2017 - 2024 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 "../hopper/tma_mcast_load_testbed.hpp"
using namespace cute;
using namespace cutlass::test;
#if CUDA_12_0_SM90_FEATURES_SUPPORTED
template <class T, class TmaType = T, class GMEM_Layout, class SMEM_Layout, class CTA_Tile, class Cluster_Size = Int<1>>
auto
test_tma_load(GMEM_Layout const& gmem_layout,
SMEM_Layout const& smem_layout,
CTA_Tile const& cta_tile,
Cluster_Size const& cluster_size = {})
{
return test_tma_load<T, TmaType>(SM90_TMA_LOAD_MULTICAST{}, gmem_layout, smem_layout, cta_tile, cluster_size);
}
template <class T, class TmaType = T, class GMEM_Layout, class SMEM_Layout>
auto
test_tma_load(GMEM_Layout const& gmem_layout,
SMEM_Layout const& smem_layout)
{
return test_tma_load<T, TmaType>(gmem_layout, smem_layout, product_each(shape(smem_layout)));
}
TEST(SM90_CuTe_Hopper, Tma_Load_32x32_Col_MCast)
{
Layout smem_layout = Layout<Shape<_32,_32>, Stride<_1,_32>>{};
{
Layout gmem_layout = make_layout(make_shape(32,32), GenColMajor{});
test_tma_load<int8_t>(gmem_layout, smem_layout, shape(smem_layout), Int<2>{});
test_tma_load<half_t>(gmem_layout, smem_layout, shape(smem_layout), Int<2>{});
test_tma_load< float>(gmem_layout, smem_layout, shape(smem_layout), Int<2>{});
test_tma_load<double>(gmem_layout, smem_layout, shape(smem_layout), Int<2>{});
test_tma_load<int8_t>(gmem_layout, smem_layout, shape(smem_layout), 2);
test_tma_load<half_t>(gmem_layout, smem_layout, shape(smem_layout), 2);
test_tma_load< float>(gmem_layout, smem_layout, shape(smem_layout), 2);
test_tma_load<double>(gmem_layout, smem_layout, shape(smem_layout), 2);
}
}
#endif