cc3c29a81a
* 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>
140 lines
4.5 KiB
Plaintext
140 lines
4.5 KiB
Plaintext
/***************************************************************************************************
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* Copyright (c) 2023 - 2024 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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/*! \file
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\brief Unit tests Generic CuTe Layouts
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*/
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#include "../../common/cutlass_unit_test.h"
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#include "cutlass/cutlass.h"
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#include "cutlass/layout/layout.h"
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#include "cutlass/matrix_coord.h"
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// Cute includes
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#include <cute/layout.hpp>
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#include <cute/int_tuple.hpp>
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#include <cute/swizzle.hpp>
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#include <cute/layout_composed.hpp>
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#include <cute/swizzle_layout.hpp>
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using namespace cutlass;
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using namespace cute;
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namespace test {
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namespace layout {
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template <typename GenericLayout, typename Layout>
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struct Testbed {
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Testbed() {}
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bool run() {
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GenericLayout generic_layout;
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Layout layout = Layout::packed({size<0>(generic_layout), size<1>(generic_layout)});
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for (int m = 0; m < size<0>(generic_layout); m++) {
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for (int n = 0; n < size<1>(generic_layout); n++) {
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if (generic_layout(m, n) != layout({m, n})) return false;
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}
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}
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return true;
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}
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};
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}
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}
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//////////////////////////////////////////////////////////////////////////
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// Test Generic CuTe Layouts
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//////////////////////////////////////////////////////////////////////////
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/// Canonical Layouts
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TEST(GenericLayout, ColumnMajor) {
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using GenericLayout = cute::Layout<Shape<_8, _4>, Stride<_1, _8>>;
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using Layout = cutlass::layout::ColumnMajor;
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test::layout::Testbed<GenericLayout, Layout> testbed;
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EXPECT_TRUE(testbed.run());
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}
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//////////////////////////////////////////////////////////////////////////
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TEST(GenericLayout, RowMajor) {
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using GenericLayout = cute::Layout<Shape<_8, _4>, Stride<_4, _1>>;
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using Layout = cutlass::layout::RowMajor;
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test::layout::Testbed<GenericLayout, Layout> testbed;
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EXPECT_TRUE(testbed.run());
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}
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//////////////////////////////////////////////////////////////////////////
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/// Swizzle Shared Memory layouts
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TEST(GenericLayout, RowMajorTensorOpMultiplicandCrosswise) {
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using GenericLayout = decltype(
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composition(
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Swizzle<3,3,3>{},
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Layout<Shape<_128, _64>, Stride<_64, _1>>{})
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);
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using Layout = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
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cutlass::sizeof_bits<cutlass::half_t>::value, 64>;
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test::layout::Testbed<GenericLayout, Layout> testbed;
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EXPECT_TRUE(testbed.run());
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}
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//////////////////////////////////////////////////////////////////////////
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TEST(GenericLayout, ColumnMajorTensorOpMultiplicandCongruous) {
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using GenericLayout = decltype(
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composition(
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Swizzle<3,3,4>{},
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Layout<Shape<_128, _64>>{})
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);
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using Layout = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous<
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cutlass::sizeof_bits<cutlass::half_t>::value, 64>;
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test::layout::Testbed<GenericLayout, Layout> testbed;
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EXPECT_TRUE(testbed.run());
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}
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//////////////////////////////////////////////////////////////////////////
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