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382 lines
15 KiB
C++
382 lines
15 KiB
C++
/*******************************************************************************
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*
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* MIT License
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*
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* Copyright (C) 2021-2025 Advanced Micro Devices, Inc. All rights reserved.
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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* copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in
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* all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*
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*******************************************************************************/
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#ifndef ROCWMMA_GEMM_COMMON_TEST_PARAMS_HPP
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#define ROCWMMA_GEMM_COMMON_TEST_PARAMS_HPP
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#include <tuple>
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#include <vector>
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#include <rocwmma/internal/types.hpp>
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#include "common.hpp"
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#include "gemm_kernel_base.hpp"
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#include "kernel_generator.hpp"
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namespace rocwmma
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{
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///
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/// Generalized kernel params for most tests
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///
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struct GemmCommonTestParams
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{
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///
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/// Testing types as Input/Output/Compute (IOC)
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///
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// Native int8
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using TestTypesI8 = std::tuple<
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#if ROCWMMA_EXTENDED_TESTS
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std::tuple<int8_t, int8_t, int32_t>,
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#endif // ROCWMMA_EXTENDED_TESTS
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std::tuple<int8_t, int32_t, int32_t>>;
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// float8
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using TestTypesF8 = std::tuple<
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#if ROCWMMA_FP8
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std::tuple<float8_t, float32_t, float32_t>
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#endif // ROCWMMA_FP8
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// Only host will ever include both
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#if ROCWMMA_FP8 && ROCWMMA_FP8_FNUZ
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,
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#endif // ROCWMMA_FP8 && ROCWMMA_FP8_FNUZ
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#if ROCWMMA_FP8_FNUZ
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std::tuple<float8_fnuz_t, float32_t, float32_t>
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#endif // ROCWMMA_FP8_FNUZ
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>;
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using TestTypesBF8 = std::tuple<
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#if ROCWMMA_FP8
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std::tuple<bfloat8_t, float32_t, float32_t>
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#endif // ROCWMMA_FP8
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// Only host will ever include both
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#if ROCWMMA_FP8 && ROCWMMA_FP8_FNUZ
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,
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#endif // ROCWMMA_FP8 && ROCWMMA_FP8_FNUZ
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#if ROCWMMA_FP8_FNUZ
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std::tuple<bfloat8_fnuz_t, float32_t, float32_t>
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#endif // ROCWMMA_FP8_FNUZ
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>;
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// Non-native bfloat16_t
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using TestTypesBF16 = std::tuple<
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#if ROCWMMA_EXTENDED_TESTS
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std::tuple<bfloat16_t, bfloat16_t, bfloat16_t>,
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std::tuple<bfloat16_t, bfloat16_t, float32_t>,
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#endif // ROCWMMA_EXTENDED_TESTS
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std::tuple<bfloat16_t, float32_t, float32_t>>;
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// Native f16
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using TestTypesF16 = std::tuple<
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#if ROCWMMA_EXTENDED_TESTS
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std::tuple<float16_t, float16_t, float16_t>,
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std::tuple<float16_t, float16_t, float32_t>,
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#endif // ROCWMMA_EXTENDED_TESTS
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std::tuple<float16_t, float32_t, float32_t>>;
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#if !ROCWMMA_TESTS_NO_HALF
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// Non-native hfloat16_t (i.e. __half)
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using TestTypesH16 = std::tuple<
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#if ROCWMMA_EXTENDED_TESTS
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std::tuple<hfloat16_t, hfloat16_t, hfloat16_t>,
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std::tuple<hfloat16_t, hfloat16_t, float32_t>,
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#endif // ROCWMMA_EXTENDED_TESTS
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std::tuple<hfloat16_t, float32_t, float32_t>>;
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#endif // !ROCWMMA_TESTS_NO_HALF
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// Native single f32
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using TestTypesF32 = std::tuple<std::tuple<float32_t, float32_t, float32_t>>;
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// xfloat32
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using TestTypesXF32 = std::tuple<std::tuple<xfloat32_t, float32_t, float32_t>>;
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// Native double f64
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using TestTypesF64 = std::tuple<std::tuple<float64_t, float64_t, float64_t>>;
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// Aggregate types <= 8 bit
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using TestTypesTiny = typename Concat<TestTypesF8, TestTypesBF8, TestTypesI8>::Result;
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// Aggregate types <= 16 bit
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using TestTypesSmall = typename Concat<TestTypesTiny,
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TestTypesBF16,
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TestTypesF16
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#if !ROCWMMA_TESTS_NO_HALF
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,
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TestTypesH16
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#endif // !ROCWMMA_TESTS_NO_HALF
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>::Result;
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// Aggregate types <= 32 bit
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using TestTypesMedium =
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typename Concat<TestTypesSmall, TestTypesF32, TestTypesXF32>::Result;
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// Aggregate types <= 64 bit
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using TestTypesLarge = typename Concat<TestTypesMedium, TestTypesF64>::Result;
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// 16 x 16 supports up to f64
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using TestTypes16x16 = TestTypesLarge;
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// 32 x 32 supports up to f32
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using TestTypes32x32 = TestTypesMedium;
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///
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/// Data Layout types: col_major (N) or row_major (T)
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/// Matrices layouts: A / B / C / D
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/// Lds Layouts: Lds data
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///
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// Supported generalized data layouts
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using TestDataLayouts = std::tuple<row_major, col_major>;
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// Lds data layouts
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using TestLdsDataLayouts = TestDataLayouts;
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///
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/// Aggregate data layout combinations A / B / CD
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/// Note: for the following sets, assume C = D = col_major
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/// Extended tests will test both col_major and row_major.
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///
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using TestLayoutsNN =
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#if ROCWMMA_EXTENDED_TESTS
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typename CombineOne<std::tuple<col_major, col_major>, TestDataLayouts>::Result;
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#else
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std::tuple<std::tuple<col_major, col_major, col_major>>;
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#endif // ROCWMMA_EXTENDED_TESTS
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using TestLayoutsNT =
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#if ROCWMMA_EXTENDED_TESTS
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typename CombineOne<std::tuple<col_major, row_major>, TestDataLayouts>::Result;
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#else
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std::tuple<std::tuple<col_major, row_major, col_major>>;
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#endif // ROCWMMA_EXTENDED_TESTS
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using TestLayoutsTN =
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#if ROCWMMA_EXTENDED_TESTS
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typename CombineOne<std::tuple<row_major, col_major>, TestDataLayouts>::Result;
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#else
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std::tuple<std::tuple<row_major, col_major, col_major>>;
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#endif // ROCWMMA_EXTENDED_TESTS
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using TestLayoutsTT =
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#if ROCWMMA_EXTENDED_TESTS
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typename CombineOne<std::tuple<row_major, row_major>, TestDataLayouts>::Result;
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#else
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std::tuple<std::tuple<row_major, row_major, col_major>>;
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#endif // ROCWMMA_EXTENDED_TESTS
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using TestLayoutsAll =
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typename Concat<TestLayoutsNN, TestLayoutsNT, TestLayoutsNT, TestLayoutsTT>::Result;
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///
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/// MFMA block sizes
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/// BlockK variances for particular BlockM, BlockN
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///
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// Aggregate combinations BlockK == 16
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using TestBlockSizes16x16TinyBlockK = std::tuple<std::tuple<I<16>, I<16>, I<16>>>;
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// Aggregate combinations BlockK <= 32
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using TestBlockSizes16x16SmallBlockK = std::tuple<std::tuple<I<16>, I<16>, I<16>>
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#if ROCWMMA_EXTENDED_TESTS
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,
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std::tuple<I<16>, I<16>, I<32>>
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#endif // ROCWMMA_EXTENDED_TESTS
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>;
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// Aggregate combinations BlockK <= 64
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using TestBlockSizes16x16MediumBlockK = std::tuple<std::tuple<I<16>, I<16>, I<16>>,
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std::tuple<I<16>, I<16>, I<32>>
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#if ROCWMMA_EXTENDED_TESTS
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,
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std::tuple<I<16>, I<16>, I<64>>
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#endif // ROCWMMA_EXTENDED_TESTS
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>;
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// Aggregate combinations BlockK <= 128
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using TestBlockSizes16x16LargeBlockK = std::tuple<std::tuple<I<16>, I<16>, I<16>>,
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std::tuple<I<16>, I<16>, I<32>>,
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std::tuple<I<16>, I<16>, I<64>>
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#if ROCWMMA_EXTENDED_TESTS
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,
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std::tuple<I<16>, I<16>, I<128>>
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#endif // ROCWMMA_EXTENDED_TESTS
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>;
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// Aggregate combinations BlockK <= 256
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using TestBlockSizes16x16HugeBlockK = std::tuple<std::tuple<I<16>, I<16>, I<16>>,
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std::tuple<I<16>, I<16>, I<32>>,
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std::tuple<I<16>, I<16>, I<64>>
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#if ROCWMMA_EXTENDED_TESTS
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,
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std::tuple<I<16>, I<16>, I<128>>,
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std::tuple<I<16>, I<16>, I<256>>
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#endif // ROCWMMA_EXTENDED_TESTS
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>;
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// Aggregate combinations BlockK == 8
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using TestBlockSizes32x32TinyBlockK = std::tuple<std::tuple<I<32>, I<32>, I<16>>>;
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// Aggregate combinations BlockK <= 16
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using TestBlockSizes32x32SmallBlockK = std::tuple<std::tuple<I<32>, I<32>, I<16>>
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#if ROCWMMA_EXTENDED_TESTS
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,
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std::tuple<I<32>, I<32>, I<16>>
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#endif // ROCWMMA_EXTENDED_TESTS
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>;
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// Aggregate combinations BlockK <= 32
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using TestBlockSizes32x32MediumBlockK = std::tuple<std::tuple<I<32>, I<32>, I<16>>
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#if ROCWMMA_EXTENDED_TESTS
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,
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std::tuple<I<32>, I<32>, I<32>>
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#endif // ROCWMMA_EXTENDED_TESTS
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>;
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// Aggregate combinations BlockK <= 64
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using TestBlockSizes32x32LargeBlockK = std::tuple<std::tuple<I<32>, I<32>, I<16>>,
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std::tuple<I<32>, I<32>, I<32>>
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#if ROCWMMA_EXTENDED_TESTS
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,
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std::tuple<I<32>, I<32>, I<64>>
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#endif // ROCWMMA_EXTENDED_TESTS
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>;
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// Aggregate combinations BlockK <= 128
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using TestBlockSizes32x32HugeBlockK = std::tuple<std::tuple<I<32>, I<32>, I<16>>,
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std::tuple<I<32>, I<32>, I<32>>
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#if ROCWMMA_EXTENDED_TESTS
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,
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std::tuple<I<32>, I<32>, I<64>>,
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std::tuple<I<32>, I<32>, I<128>>
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#endif // ROCWMMA_EXTENDED_TESTS
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>;
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using TestBlockSizes16x16 = TestBlockSizes16x16HugeBlockK;
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using TestBlockSizes32x32 = TestBlockSizes32x32HugeBlockK;
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///
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/// Per-wave output block coverage
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///
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using TestBlocks1x1 = std::tuple<std::tuple<I<1>, I<1>>>;
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using TestBlocks1x2 = std::tuple<std::tuple<I<1>, I<2>>>;
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using TestBlocks1x4 = std::tuple<std::tuple<I<1>, I<4>>>;
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using TestBlocks1x8 = std::tuple<std::tuple<I<1>, I<8>>>;
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using TestBlocks2x1 = std::tuple<std::tuple<I<2>, I<1>>>;
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using TestBlocks2x2 = std::tuple<std::tuple<I<2>, I<2>>>;
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using TestBlocks2x4 = std::tuple<std::tuple<I<2>, I<4>>>;
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using TestBlocks2x8 = std::tuple<std::tuple<I<2>, I<8>>>;
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using TestBlocks4x1 = std::tuple<std::tuple<I<4>, I<1>>>;
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using TestBlocks4x2 = std::tuple<std::tuple<I<4>, I<2>>>;
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using TestBlocks4x4 = std::tuple<std::tuple<I<4>, I<4>>>;
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using TestBlocks4x8 = std::tuple<std::tuple<I<4>, I<8>>>;
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using TestBlocks8x1 = std::tuple<std::tuple<I<8>, I<1>>>;
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using TestBlocks8x2 = std::tuple<std::tuple<I<8>, I<2>>>;
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using TestBlocks8x4 = std::tuple<std::tuple<I<8>, I<4>>>;
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using TestBlocks8x8 = std::tuple<std::tuple<I<8>, I<8>>>;
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///
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/// Run-time kernel argument parameters
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///
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// Types of parameters
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using KernelT = std::shared_ptr<KernelI>; // Kernel test interface
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using ThreadBlockT = std::pair<int64_t, int64_t>;
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using ProblemSizeT = std::tuple<int64_t, int64_t, int64_t>;
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using AlphaT = float64_t;
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using BetaT = float64_t;
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static inline std::vector<ThreadBlockT> threadBlocks()
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{
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auto warpSize = HipDevice::instance()->warpSize();
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return
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{
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// clang-format off
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// Don't benchmark wg less than 4 waves by default
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#if ROCWMMA_VALIDATION_TESTS || ROCWMMA_EXTENDED_TESTS
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{warpSize, 1}, // 1 wave
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{warpSize, 2}, {warpSize * 2, 1}, // 2 wave
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#endif // ROCWMMA_VALIDATION_TESTS || ROCWMMA_EXTENDED_TESTS
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{warpSize, 4}, {warpSize * 2, 2}, // 4 wave
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{warpSize * 4, 1} // 4 wave
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// clang-format on
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};
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}
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static inline std::vector<ProblemSizeT> problemSizes()
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{
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return
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{
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// clang-format off
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{64, 64, 1024},
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{32, 64, 1024},
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{64, 32, 1024},
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{256, 256, 1024},
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{2048, 64, 1024},
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{64, 2048, 1024},
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{512, 512, 512},
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// Skip validation on larger sizes
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// due to very slow.
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#if !ROCWMMA_VALIDATION_TESTS
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{1024, 1024, 1024},
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{2048, 2048, 2048},
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{2560, 2560, 2560},
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{3072, 3072, 3072},
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{3584, 3584, 3584},
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{4096, 4096, 4096},
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{5120, 5120, 5120},
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#if ROCWMMA_EXTENDED_TESTS
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{6144, 6144, 6144},
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{7168, 7168, 7168},
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{8192, 8192, 8192},
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#endif // ROCWMMA_EXTENDED_TESTS
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#endif // !ROCWMMA_VALIDATION_TESTS \
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// clang-format on
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};
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}
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static inline std::vector<AlphaT> alphas()
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{
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return {static_cast<AlphaT>(2)};
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}
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static inline std::vector<BetaT> betas()
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{
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return {static_cast<BetaT>(2)};
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}
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};
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} // namespace rocwmma
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#endif // ROCWMMA_GEMM_COMMON_TEST_PARAMS_HPP
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