155 lines
4.9 KiB
Plaintext
155 lines
4.9 KiB
Plaintext
/***************************************************************************************************
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* Copyright (c) 2023 - 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: BSD-3-Clause
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions are met:
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*
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* 1. Redistributions of source code must retain the above copyright notice, this
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* list of conditions and the following disclaimer.
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*
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* 2. Redistributions in binary form must reproduce the above copyright notice,
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* this list of conditions and the following disclaimer in the documentation
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* and/or other materials provided with the distribution.
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*
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* 3. Neither the name of the copyright holder nor the names of its
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* contributors may be used to endorse or promote products derived from
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* this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*
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**************************************************************************************************/
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#include "cutlass_unit_test.h"
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#include <thrust/host_vector.h>
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#include <thrust/device_vector.h>
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#include <cute/tensor.hpp>
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#include <cute/atom/copy_traits_sm75.hpp>
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using namespace cute;
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__global__ void
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movm_test_device(uint16_t* g_in, uint16_t* g_out)
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{
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int tid = threadIdx.x;
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// load input gmem -> register
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uint32_t reg = reinterpret_cast<uint32_t*>(g_in)[tid];
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// do two movmatrix calls (transpose twice => identity)
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uint32_t tmp = 0;
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uint32_t dst = 0;
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SM75_U32x1_MOVM_T::copy(reg, tmp);
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SM75_U32x1_MOVM_T::copy(tmp, dst);
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// store result
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reinterpret_cast<uint32_t*>(g_out)[tid] = dst;
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}
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template <class TiledCopy, class GmemLayout>
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__global__ void
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movm_test_device_cute(uint16_t* g_in, uint16_t* g_out,
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TiledCopy tiled_copy, GmemLayout gmem_layout)
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{
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using namespace cute;
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auto t_g_in = make_tensor(make_gmem_ptr(reinterpret_cast<uint32_t*>(g_in)), gmem_layout);
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auto t_g_out = make_tensor(make_gmem_ptr(reinterpret_cast<uint32_t*>(g_out)), gmem_layout);
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int tid = threadIdx.x;
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auto thr_copy = tiled_copy.get_thread_slice(tid);
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auto tXgS = thr_copy.partition_S(t_g_in);
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auto tXgD = thr_copy.partition_D(t_g_out);
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// Register tensors for intermediate and output data
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auto tXrS = make_tensor<uint32_t>(shape(tXgS)); // src
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auto tXrT = make_tensor<uint32_t>(shape(tXgS)); // tmp
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auto tXrD = make_tensor<uint32_t>(shape(tXgD)); // dst
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clear(tXrS);
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clear(tXrT);
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clear(tXrD);
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// Load gmem -> registers
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for (int i = 0; i < size(tXrS); ++i) {
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tXrS(i) = tXgS(i);
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}
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// do two movmatrix calls for identity
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copy(tiled_copy, tXrS, tXrT);
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copy(tiled_copy, tXrT, tXrD);
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// Store registers -> gmem
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for (int i = 0; i < size(tXrD); ++i) {
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tXgD(i) = tXrD(i);
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}
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}
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TEST(SM75_CuTe_Turing, Movm)
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{
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constexpr int count = 1024;
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thrust::host_vector<uint16_t> h_in(count);
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for (int i = 0; i < count; ++i) {
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h_in[i] = uint16_t(i);
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}
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thrust::device_vector<uint16_t> d_in = h_in;
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//
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// Direct MOVM
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//
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{
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thrust::device_vector<uint16_t> d_out(count);
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movm_test_device<<<1, 32>>>(
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thrust::raw_pointer_cast(d_in.data()),
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thrust::raw_pointer_cast(d_out.data()));
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thrust::host_vector<uint16_t> h_out = d_out;
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// applied movmatrix twice so result should equal input
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for (int i = 0; i < 64; ++i) {
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EXPECT_EQ(h_out[i], h_in[i]);
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}
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CUTLASS_TRACE_HOST("MOVM movm_test_device SUCCESS\n");
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}
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//
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// CuTe MOVM
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//
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{
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thrust::device_vector<uint16_t> d_out(count);
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auto gmem_layout = Layout<Shape <_32, _1>,
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Stride< _1,_32>>{};
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auto tiled_copy = make_tiled_copy(Copy_Atom<SM75_U32x1_MOVM_T, uint32_t>{},
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Layout<Shape<_32, _1>>{},
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Layout<Shape< _1, _1>>{});
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movm_test_device_cute<<<1, int(size(tiled_copy))>>>(
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thrust::raw_pointer_cast(d_in.data()),
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thrust::raw_pointer_cast(d_out.data()),
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tiled_copy,
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gmem_layout);
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thrust::host_vector<uint16_t> h_out = d_out;
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for (int i = 0; i < (size(gmem_layout)*2); ++i) {
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EXPECT_EQ(h_out[i], h_in[i]);
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}
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CUTLASS_TRACE_HOST("CuTe MOVM SUCCESS\n");
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}
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CUTLASS_TRACE_HOST("PASS");
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}
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