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https://github.com/ROCm/composable_kernel.git
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ceaecc86ca
* Optimize GEMM on MI200/300:
1. Add new blockwise gemm pipeline
2. Add irregular splitk intances
* clang format + typo fix
* Fix a bug
* initial commit
* Add more instances to irregular splitk
* blkgemm pipeline v1~4 prototype
* Sanity Checked. Known issue:
1. Poor performance of splitk
2. Register spill on blkgemmpipeline v3
* Sanity and Performance fix:
1. fix a bug related to sanity in grouped b2c mapping
2. fix a bug related to sanity and performance in splitk offset
* Sanity and API update:
1. Remove prefetch stage
2. Fix valid check bug
3, Add first gemm_universal instance into ckProfiler
* Add NN instances for gemm universal
* 1. Add NT instances for gemm_universal
2. Fix a bug about Kpadding in gemm_universal
* Fix a bug regarding padding Odd K number
* remove kernel print
* Fix KPadding bug...
* Update safety check
* another try to fix kpadding..
* Sanity checked
* new instances..
* clang format+typo fix
* remove clang format script's change
* Add non-hotloop compile option
* 1. Add fp16xfp8 example
2. pull packed convert f8 from pr1150
* Some miscs.. opt and fix
* Add pipeline description docs
* Split universal gemm instance library to cut profiler compiling time
* uncomment cmakefile
* Fix a bug caused by blockwise_gemm_pipe_v2
* reduce default splitk to 1
* Add 224x256x64 tile size
* update, including:
1. Experiment pipeline 5~7
2. Optimization for pipeline 4
3. Organized instance library
* temp save
* temp save
* Permuted lds layout, sanity and function checked
* clang format
* Move OOB check from RunRead to RunWrite, for better software pipeline.
TODO: agpr spill when NN layout
* clangformat
* A/B splitpipe scheduler for v3
* Fix two bugs
* bug fix
* fix a bug in oob check
* Example for mixed fp16_fp8 gemm
* Clean experimental code blocks
* Add mixed precision gemm into profiler
* tempsave
* optimize m/n major lds layout
* Add RRR GEMM mixed precision instances
* Optimize f8 matrix transpose
* Add test_gemm_universal
* A/B spilt schedule for blkpip v5
* Take ds_read2 into iglp scheduling scheme
* format
* fixed cmake
* Add llvm-option into CI cmake flag
---------
Co-authored-by: Jing Zhang <jizhan@amd.com>
[ROCm/composable_kernel commit: f83e9701e9]
55 lines
1.4 KiB
C++
55 lines
1.4 KiB
C++
// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2022, Advanced Micro Devices, Inc. All rights reserved.
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#include <tuple>
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#include "gtest/gtest.h"
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#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
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#include "test_gemm_universal_util.hpp"
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using F8 = ck::f8_t;
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using F16 = ck::half_t;
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using F32 = float;
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using Row = ck::tensor_layout::gemm::RowMajor;
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using Col = ck::tensor_layout::gemm::ColumnMajor;
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namespace {
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template <typename X, typename Y>
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struct tuple_concat;
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template <typename... Xs, typename... Ys>
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struct tuple_concat<std::tuple<Xs...>, std::tuple<Ys...>>
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{
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using type = std::tuple<Xs..., Ys...>;
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};
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} // namespace
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template <typename Tuple>
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class TestGemmUniversal_MK_KN
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: public ck::test::TestGemmUniversal<typename tuple_concat<std::tuple<Row, Row>, Tuple>::type>
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{
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};
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template <typename Tuple>
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class TestGemmUniversal_MK_NK
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: public ck::test::TestGemmUniversal<typename tuple_concat<std::tuple<Row, Col>, Tuple>::type>
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{
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};
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// clang-format off
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using KernelTypes = ::testing::Types<
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// ADataType, BDataType, CDataType
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std::tuple< F16, F16, F16>,
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std::tuple< F16, F8, F16>,
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std::tuple< F8, F16, F16>
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>;
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// clang-format on
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TYPED_TEST_SUITE(TestGemmUniversal_MK_KN, KernelTypes);
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TYPED_TEST_SUITE(TestGemmUniversal_MK_NK, KernelTypes);
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#include "test_gemm_universal_ut_cases.inc"
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