mirror of
https://github.com/ROCm/composable_kernel.git
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[CK_TILE] Multiple-D GEMM example (#2219)
* Multiple d, initial commit * Check Ds Layout * Readme and clang format * Update branch & conflicts * Multiple D - fix clang-formatter * Rename elemetwise_op * Fix CI * Code review part1 * Remove printf * Remove unnecessary comment * Add new tests with Col layout * Review part 2 * Added support for Multiple D GEMM * Update comment * Remove maybe_unused * Clang-format * Review part 3 * Add comment to function * Add comment to function: another * Take number of params for a refrence function * Remove additional d param for 0 tensor * Change name of function * Fix CI fails
This commit is contained in:
Mateusz Ozga
4
test/ck_tile/gemm_multi_d/CMakeLists.txt
Normal file
4
test/ck_tile/gemm_multi_d/CMakeLists.txt
Normal file
@@ -0,0 +1,4 @@
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# Currently ck_tile is only built on gfx9
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if(GPU_TARGETS MATCHES "gfx9")
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add_gtest_executable(test_ck_tile_gemm_multi_d test_gemm_multi_d.cpp)
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endif()
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39
test/ck_tile/gemm_multi_d/test_gemm_multi_d.cpp
Normal file
39
test/ck_tile/gemm_multi_d/test_gemm_multi_d.cpp
Normal file
@@ -0,0 +1,39 @@
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2025, 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_tile/host.hpp"
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#include "test_gemm_multi_d_util.hpp"
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using F16 = ck_tile::half_t;
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using BF16 = ck_tile::bf16_t;
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using F32 = float;
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using F8 = ck_tile::fp8_t;
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using Row = ck_tile::tensor_layout::gemm::RowMajor;
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using Col = ck_tile::tensor_layout::gemm::ColumnMajor;
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// clang-format off
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using KernelTypes = ::testing::Types<
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// ALayout, BLayout, CLayout, D0Layout, D1Layout, ADataType, BDataType, D0DataType, D1DataType, AccDataType, CDataType, CDElementWiseFn
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std::tuple< Row, Col, Row, Row, Row, F16, F16, BF16, BF16, F32, F16, ElementWiseAddAdd>,
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std::tuple< Row, Col, Row, Row, Row, F16, F16, F32, F32, F32, F16, ElementWiseAddAdd>,
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std::tuple< Row, Col, Row, Row, Row, F16, F16, F32, F32, F32, F16, ElementWiseAddAdd>,
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std::tuple< Row, Col, Row, Row, Row, F8, F8, BF16, BF16, F32, F32, ElementWiseAddAdd>,
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std::tuple< Row, Col, Row, Row, Row, F8, F8, F8, F8, F32, F16, ElementWiseAddAdd>,
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std::tuple< Row, Col, Row, Row, Row, F16, F16, F16, F16, F32, F16, MultiplyMultiply>,
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std::tuple< Row, Col, Row, Row, Row, F16, F16, BF16, BF16, F32, F32, MultiplyMultiply>,
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std::tuple< Row, Col, Row, Row, Row, F16, F16, F32, F32, F32, F32, MultiplyMultiply>,
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std::tuple< Row, Col, Row, Row, Row, F16, F16, F32, F32, F32, F16, MultiplyMultiply>,
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std::tuple< Row, Col, Row, Row, Row, F8, F8, BF16, BF16, F32, F32, MultiplyMultiply>,
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std::tuple< Row, Col, Row, Row, Row, F8, F8, F8, F8, F32, F32, MultiplyMultiply>
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>;
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// clang-format on
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TYPED_TEST_SUITE(TestCkTileGemmMultiD, KernelTypes);
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#include "test_gemm_multi_d_ut_cases.inc"
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334
test/ck_tile/gemm_multi_d/test_gemm_multi_d_ut_cases.inc
Normal file
334
test/ck_tile/gemm_multi_d/test_gemm_multi_d_ut_cases.inc
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@@ -0,0 +1,334 @@
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#pragma once
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TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDAddKBatch1_256x512x256)
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{
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constexpr int M = 256;
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constexpr int N = 512;
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constexpr int K = 256;
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constexpr int kBatch = 1;
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this->Run(M, N, K, kBatch);
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}
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TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDAddKBatch1_512x256x256)
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{
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constexpr int M = 512;
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constexpr int N = 256;
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constexpr int K = 256;
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constexpr int kBatch = 1;
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this->Run(M, N, K, kBatch);
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}
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TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDAddKBatch1_512x512x256)
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{
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constexpr int M = 512;
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constexpr int N = 512;
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constexpr int K = 256;
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constexpr int kBatch = 1;
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this->Run(M, N, K, kBatch);
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}
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TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDAddKBatch1_256x256x256)
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{
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constexpr int M = 256;
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constexpr int N = 256;
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constexpr int K = 256;
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constexpr int kBatch = 1;
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this->Run(M, N, K, kBatch);
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}
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TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDAddKBatch1_512x768x256)
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{
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constexpr int M = 512;
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constexpr int N = 768;
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constexpr int K = 256;
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constexpr int kBatch = 1;
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this->Run(M, N, K, kBatch);
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}
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TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDAddKBatch1_512x1280x256)
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{
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constexpr int M = 512;
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constexpr int N = 1280;
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constexpr int K = 256;
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constexpr int kBatch = 1;
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this->Run(M, N, K, kBatch);
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}
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TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDAddKBatch1_256x1280x256)
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{
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constexpr int M = 256;
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constexpr int N = 1280;
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constexpr int K = 256;
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constexpr int kBatch = 1;
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this->Run(M, N, K, kBatch);
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}
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TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDAddKBatch1_768x512x256)
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{
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constexpr int M = 768;
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constexpr int N = 512;
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constexpr int K = 256;
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constexpr int kBatch = 1;
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this->Run(M, N, K, kBatch);
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}
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TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDAddKBatch1_1280x512x256)
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{
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constexpr int M = 1280;
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constexpr int N = 512;
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constexpr int K = 256;
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constexpr int kBatch = 1;
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this->Run(M, N, K, kBatch);
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}
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TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDAddKBatch1_1280x256x256)
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{
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constexpr int M = 1280;
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constexpr int N = 256;
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constexpr int K = 256;
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constexpr int kBatch = 1;
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this->Run(M, N, K, kBatch);
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}
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TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDMultiplyMultiplyKBatch1_256x512x256)
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{
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constexpr int M = 256;
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constexpr int N = 512;
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constexpr int K = 256;
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constexpr int kBatch = 1;
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this->Run(M, N, K, kBatch);
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}
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TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDMultiplyMultiplyKBatch1_512x256x256)
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{
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constexpr int M = 512;
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constexpr int N = 256;
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constexpr int K = 256;
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constexpr int kBatch = 1;
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this->Run(M, N, K, kBatch);
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}
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TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDMultiplyMultiplyKBatch1_512x512x256)
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{
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constexpr int M = 512;
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constexpr int N = 512;
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constexpr int K = 256;
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constexpr int kBatch = 1;
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this->Run(M, N, K, kBatch);
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}
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TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDMultiplyMultiplyKBatch1_256x256x256)
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{
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constexpr int M = 256;
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constexpr int N = 256;
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constexpr int K = 256;
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constexpr int kBatch = 1;
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this->Run(M, N, K, kBatch);
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}
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TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDMultiplyMultiplyKBatch1_512x768x256)
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{
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constexpr int M = 512;
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constexpr int N = 768;
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constexpr int K = 256;
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constexpr int kBatch = 1;
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this->Run(M, N, K, kBatch);
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}
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TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDMultiplyMultiplyKBatch1_512x1280x256)
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{
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constexpr int M = 512;
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constexpr int N = 1280;
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constexpr int K = 256;
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constexpr int kBatch = 1;
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this->Run(M, N, K, kBatch);
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}
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TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDMultiplyMultiplyKBatch1_256x1280x256)
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{
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constexpr int M = 256;
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constexpr int N = 1280;
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constexpr int K = 256;
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constexpr int kBatch = 1;
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this->Run(M, N, K, kBatch);
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}
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TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDMultiplyMultiplyKBatch1_768x512x256)
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{
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constexpr int M = 768;
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constexpr int N = 512;
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constexpr int K = 256;
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constexpr int kBatch = 1;
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this->Run(M, N, K, kBatch);
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}
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TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDMultiplyMultiplyKBatch1_1280x512x256)
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{
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constexpr int M = 1280;
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constexpr int N = 512;
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constexpr int K = 256;
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constexpr int kBatch = 1;
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this->Run(M, N, K, kBatch);
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}
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TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDMultiplyMultiplyKBatch1_1280x256x256)
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{
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constexpr int M = 1280;
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constexpr int N = 256;
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constexpr int K = 256;
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constexpr int kBatch = 1;
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this->Run(M, N, K, kBatch);
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}
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TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDAddKBatch2_256x256x512)
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{
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constexpr int M = 256;
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constexpr int N = 256;
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constexpr int K = 512;
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constexpr int kBatch = 2;
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this->Run(M, N, K, kBatch);
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}
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TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDAddKBatch2_512x768x512)
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{
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constexpr int M = 512;
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constexpr int N = 768;
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constexpr int K = 512;
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constexpr int kBatch = 2;
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this->Run(M, N, K, kBatch);
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}
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TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDAddKBatch2_512x1280x512)
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{
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constexpr int M = 512;
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constexpr int N = 1280;
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constexpr int K = 512;
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constexpr int kBatch = 2;
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this->Run(M, N, K, kBatch);
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}
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TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDAddKBatch2_256x1280x512)
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{
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constexpr int M = 256;
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constexpr int N = 1280;
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constexpr int K = 512;
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constexpr int kBatch = 2;
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this->Run(M, N, K, kBatch);
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}
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TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDAddKBatch2_768x512x512)
|
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{
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constexpr int M = 768;
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constexpr int N = 512;
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constexpr int K = 512;
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constexpr int kBatch = 2;
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this->Run(M, N, K, kBatch);
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}
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|
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TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDAddKBatch2_1280x512x512)
|
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{
|
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constexpr int M = 1280;
|
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constexpr int N = 512;
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constexpr int K = 512;
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constexpr int kBatch = 2;
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this->Run(M, N, K, kBatch);
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}
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|
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TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDAddKBatch2_1280x256x512)
|
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{
|
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constexpr int M = 1280;
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constexpr int N = 256;
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constexpr int K = 512;
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constexpr int kBatch = 2;
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this->Run(M, N, K, kBatch);
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}
|
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|
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TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDMultiplyMultiplyKBatch2_256x512x512)
|
||||
{
|
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constexpr int M = 256;
|
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constexpr int N = 512;
|
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constexpr int K = 512;
|
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constexpr int kBatch = 2;
|
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this->Run(M, N, K, kBatch);
|
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}
|
||||
|
||||
TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDMultiplyMultiplyKBatch2_512x256x512)
|
||||
{
|
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constexpr int M = 512;
|
||||
constexpr int N = 256;
|
||||
constexpr int K = 512;
|
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constexpr int kBatch = 2;
|
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this->Run(M, N, K, kBatch);
|
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}
|
||||
|
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TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDMultiplyMultiplyKBatch2_512x512x512)
|
||||
{
|
||||
constexpr int M = 512;
|
||||
constexpr int N = 512;
|
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constexpr int K = 512;
|
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constexpr int kBatch = 2;
|
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this->Run(M, N, K, kBatch);
|
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}
|
||||
|
||||
TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDMultiplyMultiplyKBatch2_256x256x512)
|
||||
{
|
||||
constexpr int M = 256;
|
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constexpr int N = 256;
|
||||
constexpr int K = 512;
|
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constexpr int kBatch = 2;
|
||||
this->Run(M, N, K, kBatch);
|
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}
|
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|
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TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDMultiplyMultiplyKBatch2_512x768x512)
|
||||
{
|
||||
constexpr int M = 512;
|
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constexpr int N = 768;
|
||||
constexpr int K = 512;
|
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constexpr int kBatch = 2;
|
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this->Run(M, N, K, kBatch);
|
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}
|
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|
||||
TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDMultiplyMultiplyKBatch2_512x1280x512)
|
||||
{
|
||||
constexpr int M = 512;
|
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constexpr int N = 1280;
|
||||
constexpr int K = 512;
|
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constexpr int kBatch = 2;
|
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this->Run(M, N, K, kBatch);
|
||||
}
|
||||
|
||||
TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDMultiplyMultiplyKBatch2_256x1280x512)
|
||||
{
|
||||
constexpr int M = 256;
|
||||
constexpr int N = 1280;
|
||||
constexpr int K = 512;
|
||||
constexpr int kBatch = 2;
|
||||
this->Run(M, N, K, kBatch);
|
||||
}
|
||||
|
||||
TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDMultiplyMultiplyKBatch2_768x512x512)
|
||||
{
|
||||
constexpr int M = 768;
|
||||
constexpr int N = 512;
|
||||
constexpr int K = 512;
|
||||
constexpr int kBatch = 2;
|
||||
this->Run(M, N, K, kBatch);
|
||||
}
|
||||
|
||||
TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDMultiplyMultiplyKBatch2_1280x512x512)
|
||||
{
|
||||
constexpr int M = 1280;
|
||||
constexpr int N = 512;
|
||||
constexpr int K = 512;
|
||||
constexpr int kBatch = 2;
|
||||
this->Run(M, N, K, kBatch);
|
||||
}
|
||||
|
||||
TYPED_TEST(TestCkTileGemmMultiD, TestCkTileGemmMultiDMultiplyMultiplyKBatch2_1280x256x512)
|
||||
{
|
||||
constexpr int M = 1280;
|
||||
constexpr int N = 256;
|
||||
constexpr int K = 512;
|
||||
constexpr int kBatch = 2;
|
||||
this->Run(M, N, K, kBatch);
|
||||
}
|
||||
407
test/ck_tile/gemm_multi_d/test_gemm_multi_d_util.hpp
Normal file
407
test/ck_tile/gemm_multi_d/test_gemm_multi_d_util.hpp
Normal file
@@ -0,0 +1,407 @@
|
||||
// SPDX-License-Identifier: MIT
|
||||
// Copyright (c) 2025, Advanced Micro Devices, Inc. All rights reserved.
|
||||
#pragma once
|
||||
|
||||
#include <sstream>
|
||||
#include <gtest/gtest.h>
|
||||
|
||||
#include "ck_tile/core.hpp"
|
||||
#include "ck_tile/host.hpp"
|
||||
#include "ck_tile/host/kernel_launch.hpp"
|
||||
#include "ck_tile/ops/epilogue.hpp"
|
||||
#include "ck_tile/ops/gemm.hpp"
|
||||
#include "ck_tile/ops/gemm/kernel/gemm_kernel.hpp"
|
||||
#include "ck_tile/ops/elementwise/unary_element_wise_operation.hpp"
|
||||
|
||||
struct ElementWiseAddAdd
|
||||
{
|
||||
template <typename E, typename C, typename D0, typename D1>
|
||||
CK_TILE_HOST_DEVICE auto operator()(E& e, const C& c, const D0& d0, const D1& d1) const -> void
|
||||
{
|
||||
const float x0_f = ck_tile::type_convert<float>(c) + ck_tile::type_convert<float>(d0) +
|
||||
ck_tile::type_convert<float>(d1);
|
||||
|
||||
e = ck_tile::type_convert<E>(x0_f);
|
||||
}
|
||||
};
|
||||
|
||||
struct MultiplyMultiply
|
||||
{
|
||||
template <typename E, typename C, typename D0, typename D1>
|
||||
CK_TILE_HOST_DEVICE auto operator()(E& e, const C& c, const D0& d0, const D1& d1) const -> void
|
||||
{
|
||||
const float x0_f = ck_tile::type_convert<float>(c) * ck_tile::type_convert<float>(d0) *
|
||||
ck_tile::type_convert<float>(d1);
|
||||
|
||||
e = ck_tile::type_convert<E>(x0_f);
|
||||
}
|
||||
};
|
||||
|
||||
template <typename ADataType,
|
||||
typename BDataType,
|
||||
typename AccDataType,
|
||||
typename EDataType,
|
||||
typename DsDataType>
|
||||
auto calculate_rtol_atol(const ck_tile::index_t K,
|
||||
const ck_tile::index_t kbatch,
|
||||
const float max_accumulated_value)
|
||||
{
|
||||
using ComputeTypeAB =
|
||||
std::conditional_t<sizeof(ADataType) < sizeof(BDataType), ADataType, BDataType>;
|
||||
|
||||
using ComputeType =
|
||||
std::conditional_t<sizeof(ComputeTypeAB) < sizeof(DsDataType), ComputeTypeAB, DsDataType>;
|
||||
|
||||
// Calculate thresholds
|
||||
const auto rtol = ck_tile::get_relative_threshold<ComputeType, EDataType, AccDataType>(
|
||||
ck_tile::integer_divide_ceil(K, kbatch));
|
||||
const auto atol = ck_tile::get_absolute_threshold<ComputeType, EDataType, AccDataType>(
|
||||
max_accumulated_value / kbatch, ck_tile::integer_divide_ceil(K, kbatch));
|
||||
// Calculate error due to split_k accumulation
|
||||
const auto rtol_split_k =
|
||||
ck_tile::get_relative_threshold<EDataType, EDataType, EDataType>(kbatch);
|
||||
const auto atol_split_k = ck_tile::get_absolute_threshold<EDataType, EDataType, EDataType>(
|
||||
max_accumulated_value, kbatch);
|
||||
// Use higher threshold
|
||||
return ck_tile::make_tuple(std::max(rtol, rtol_split_k), std::max(atol, atol_split_k));
|
||||
}
|
||||
|
||||
template <typename Tuple>
|
||||
class TestCkTileGemmMultiD : public ::testing::Test
|
||||
{
|
||||
protected:
|
||||
using ALayout = std::tuple_element_t<0, Tuple>;
|
||||
using BLayout = std::tuple_element_t<1, Tuple>;
|
||||
using D0Layout = std::tuple_element_t<2, Tuple>;
|
||||
using D1Layout = std::tuple_element_t<3, Tuple>;
|
||||
using ELayout = std::tuple_element_t<4, Tuple>;
|
||||
using ADataType = std::tuple_element_t<5, Tuple>;
|
||||
using BDataType = std::tuple_element_t<6, Tuple>;
|
||||
using D0DataType = std::tuple_element_t<7, Tuple>;
|
||||
using D1DataType = std::tuple_element_t<8, Tuple>;
|
||||
using AccDataType = std::tuple_element_t<9, Tuple>;
|
||||
using EDataType = std::tuple_element_t<10, Tuple>;
|
||||
using CDElementWiseFn = std::tuple_element_t<11, Tuple>;
|
||||
using DsLayout = ck_tile::tuple<D0Layout, D1Layout>;
|
||||
using DsDataType = ck_tile::tuple<D0DataType, D1DataType>;
|
||||
|
||||
template <typename ADataType,
|
||||
typename BDataType,
|
||||
typename DsDataType,
|
||||
typename AccDataType,
|
||||
typename EDataType,
|
||||
typename ALayout,
|
||||
typename BLayout,
|
||||
typename DsLayout,
|
||||
typename ELayout,
|
||||
typename CDEElementWise = ck_tile::element_wise::PassThrough>
|
||||
void invoke_gemm_multi_d(const ck_tile::GemmHostArgs<DsDataType::size()>& args,
|
||||
const ck_tile::stream_config& s)
|
||||
{
|
||||
constexpr ck_tile::index_t M_Tile = 256;
|
||||
constexpr ck_tile::index_t N_Tile = 256;
|
||||
constexpr ck_tile::index_t K_Tile = 64;
|
||||
|
||||
constexpr ck_tile::index_t M_Warp = 2;
|
||||
constexpr ck_tile::index_t N_Warp = 2;
|
||||
constexpr ck_tile::index_t K_Warp = 1;
|
||||
|
||||
constexpr ck_tile::index_t M_Warp_Tile = 32;
|
||||
constexpr ck_tile::index_t N_Warp_Tile = 32;
|
||||
constexpr ck_tile::index_t K_Warp_Tile = 16;
|
||||
|
||||
constexpr bool DoubleSmemBuffer = false;
|
||||
|
||||
constexpr bool kPadM = false;
|
||||
constexpr bool kPadN = false;
|
||||
constexpr bool kPadK = false;
|
||||
|
||||
constexpr bool TransposeC = false;
|
||||
|
||||
constexpr int kBlockPerCu = 1;
|
||||
constexpr ck_tile::index_t TileParitionerGroupNum = 8;
|
||||
constexpr ck_tile::index_t TileParitionerM01 = 4;
|
||||
|
||||
using GemmShape =
|
||||
ck_tile::TileGemmShape<ck_tile::sequence<M_Tile, N_Tile, K_Tile>,
|
||||
ck_tile::sequence<M_Warp, N_Warp, K_Warp>,
|
||||
ck_tile::sequence<M_Warp_Tile, N_Warp_Tile, K_Warp_Tile>>;
|
||||
using TilePartitioner = ck_tile::
|
||||
GemmSpatiallyLocalTilePartitioner<GemmShape, TileParitionerGroupNum, TileParitionerM01>;
|
||||
|
||||
using Traits = ck_tile::TileGemmTraits<kPadM, kPadN, kPadK, ALayout, BLayout, ELayout>;
|
||||
using GemmUniversalTraits = ck_tile::TileGemmUniversalTraits<kPadM,
|
||||
kPadN,
|
||||
kPadK,
|
||||
DoubleSmemBuffer,
|
||||
ALayout,
|
||||
BLayout,
|
||||
ELayout,
|
||||
TransposeC>;
|
||||
using GemmPipelineProblem =
|
||||
ck_tile::GemmPipelineProblem<ADataType, BDataType, AccDataType, GemmShape, Traits>;
|
||||
|
||||
using BaseGemmPipeline = ck_tile::BaseGemmPipelineAgBgCrCompV3<GemmPipelineProblem>;
|
||||
|
||||
const ck_tile::index_t k_grain = args.k_batch * K_Tile;
|
||||
const ck_tile::index_t K_split = (args.K + k_grain - 1) / k_grain * K_Tile;
|
||||
const ck_tile::index_t num_loop = TilePartitioner::GetLoopNum(K_split);
|
||||
const bool has_hot_loop = BaseGemmPipeline::BlockHasHotloop(num_loop);
|
||||
const ck_tile::TailNumber tail_num = BaseGemmPipeline::GetBlockLoopTailNum(num_loop);
|
||||
|
||||
float ave_time{0};
|
||||
|
||||
const auto Run = [&](const auto has_hot_loop_,
|
||||
const auto tail_number_,
|
||||
const auto memory_operation_) {
|
||||
constexpr bool has_hot_loop_v = has_hot_loop_.value;
|
||||
constexpr auto tail_number_v = tail_number_.value;
|
||||
constexpr auto scheduler = ck_tile::GemmPipelineScheduler::Intrawave;
|
||||
constexpr auto memory_operation = memory_operation_.value;
|
||||
|
||||
using UniversalGemmProblem = ck_tile::UniversalGemmPipelineProblem<ADataType,
|
||||
BDataType,
|
||||
AccDataType,
|
||||
GemmShape,
|
||||
GemmUniversalTraits,
|
||||
scheduler,
|
||||
has_hot_loop_v,
|
||||
tail_number_v>;
|
||||
|
||||
using GemmPipeline = ck_tile::GemmPipelineAgBgCrCompV3<UniversalGemmProblem>;
|
||||
using GemmEpilogue = ck_tile::CShuffleEpilogue<
|
||||
ck_tile::CShuffleEpilogueProblem<ADataType,
|
||||
BDataType,
|
||||
DsDataType,
|
||||
AccDataType,
|
||||
EDataType,
|
||||
DsLayout,
|
||||
ELayout,
|
||||
CDEElementWise,
|
||||
GemmPipelineProblem::kBlockSize,
|
||||
TilePartitioner::MPerBlock,
|
||||
TilePartitioner::NPerBlock,
|
||||
M_Warp,
|
||||
N_Warp,
|
||||
M_Warp_Tile,
|
||||
N_Warp_Tile,
|
||||
K_Warp_Tile,
|
||||
UniversalGemmProblem::TransposeC,
|
||||
memory_operation>>;
|
||||
|
||||
using Kernel = ck_tile::GemmKernel<TilePartitioner, GemmPipeline, GemmEpilogue>;
|
||||
auto kargs = Kernel::MakeKernelArgs(args);
|
||||
|
||||
const dim3 grids = Kernel::GridSize(args.M, args.N, args.k_batch);
|
||||
constexpr dim3 blocks = Kernel::BlockSize();
|
||||
|
||||
if(!Kernel::IsSupportedArgument(kargs))
|
||||
{
|
||||
throw std::runtime_error("Wrong! Arguments not supported! Skipping gemm!\n");
|
||||
}
|
||||
|
||||
if(s.log_level_ > 0)
|
||||
{
|
||||
std::cout << "Launching kernel with args: " << Kernel::GetName() << '\n'
|
||||
<< "shape: " << GemmShape::GetName() << '\n'
|
||||
<< "problem: " << GemmPipelineProblem::GetName() << '\n'
|
||||
<< "pipeline: " << GemmPipeline::GetName() << '\n'
|
||||
<< "grid: {" << grids.x << ", " << grids.y << ", " << grids.z << "}"
|
||||
<< ", blocks: {" << blocks.x << ", " << blocks.y << ", " << blocks.z
|
||||
<< "}" << std::endl;
|
||||
}
|
||||
|
||||
ave_time = ck_tile::launch_kernel(
|
||||
s, ck_tile::make_kernel<blocks.x, kBlockPerCu>(Kernel{}, grids, blocks, 0, kargs));
|
||||
return ave_time;
|
||||
};
|
||||
|
||||
const auto RunSplitk = [&](const auto has_hot_loop_, const auto tail_number_) {
|
||||
if(args.k_batch == 1)
|
||||
{
|
||||
Run(has_hot_loop_,
|
||||
tail_number_,
|
||||
ck_tile::integral_constant<ck_tile::memory_operation_enum,
|
||||
ck_tile::memory_operation_enum::set>{});
|
||||
}
|
||||
else
|
||||
{
|
||||
Run(has_hot_loop_,
|
||||
tail_number_,
|
||||
ck_tile::integral_constant<ck_tile::memory_operation_enum,
|
||||
ck_tile::memory_operation_enum::atomic_add>{});
|
||||
}
|
||||
};
|
||||
if(has_hot_loop)
|
||||
{
|
||||
if(tail_num == ck_tile::TailNumber::Full)
|
||||
{
|
||||
RunSplitk(
|
||||
ck_tile::bool_constant<true>{},
|
||||
ck_tile::integral_constant<ck_tile::TailNumber, ck_tile::TailNumber::Full>{});
|
||||
}
|
||||
else
|
||||
{
|
||||
std::ostringstream err;
|
||||
err << "For compute pipeline tail number should always be Full, but have \""
|
||||
<< tail_num << "\" which is not supported! PrefetchStages: "
|
||||
<< BaseGemmPipeline::PrefetchStages << "\n File: " << __FILE__ << ":"
|
||||
<< __LINE__ << ", in function: " << __func__;
|
||||
throw std::runtime_error(err.str());
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
std::ostringstream err;
|
||||
err << "Num K loop must be larger than number of prefetech stages."
|
||||
<< "\n PrefetchStages: " << BaseGemmPipeline::PrefetchStages
|
||||
<< "\n File: " << __FILE__ << ":" << __LINE__ << ", in function: " << __func__;
|
||||
throw std::runtime_error(err.str());
|
||||
}
|
||||
}
|
||||
|
||||
public:
|
||||
void Run(const int M,
|
||||
const int N,
|
||||
const int K,
|
||||
const int k_batch,
|
||||
int StrideA = 0,
|
||||
int StrideB = 0,
|
||||
int StrideD0 = 0,
|
||||
int StrideD1 = 0,
|
||||
int StrideE = 0)
|
||||
{
|
||||
using namespace ck_tile::literals;
|
||||
|
||||
auto f_host_tensor_descriptor = [](std::size_t row,
|
||||
std::size_t col,
|
||||
std::size_t stride,
|
||||
auto layout) {
|
||||
if constexpr(std::is_same_v<decltype(layout), ck_tile::tensor_layout::gemm::RowMajor>)
|
||||
{
|
||||
return ck_tile::HostTensorDescriptor({row, col}, {stride, 1_uz});
|
||||
}
|
||||
else
|
||||
{
|
||||
return ck_tile::HostTensorDescriptor({row, col}, {1_uz, stride});
|
||||
}
|
||||
};
|
||||
|
||||
auto f_get_default_stride =
|
||||
[](std::size_t row, std::size_t col, std::size_t stride, auto layout) {
|
||||
if(stride == 0)
|
||||
{
|
||||
if constexpr(std::is_same_v<decltype(layout),
|
||||
ck_tile::tensor_layout::gemm::RowMajor>)
|
||||
{
|
||||
return col;
|
||||
}
|
||||
else
|
||||
{
|
||||
return row;
|
||||
}
|
||||
}
|
||||
else
|
||||
return stride;
|
||||
};
|
||||
|
||||
StrideA = f_get_default_stride(M, K, StrideA, ALayout{});
|
||||
StrideB = f_get_default_stride(K, N, StrideB, BLayout{});
|
||||
StrideD0 = f_get_default_stride(M, N, StrideD0, D0Layout{});
|
||||
StrideD1 = f_get_default_stride(M, N, StrideD1, D1Layout{});
|
||||
StrideE = f_get_default_stride(M, N, StrideE, ELayout{});
|
||||
|
||||
ck_tile::HostTensor<ADataType> a_m_k_tesnor(
|
||||
f_host_tensor_descriptor(M, K, StrideA, ALayout{}));
|
||||
ck_tile::HostTensor<BDataType> b_k_n_tensors(
|
||||
f_host_tensor_descriptor(K, N, StrideB, BLayout{}));
|
||||
ck_tile::HostTensor<D0DataType> d0_m_n_tensors(
|
||||
f_host_tensor_descriptor(M, N, StrideD0, D0Layout{}));
|
||||
ck_tile::HostTensor<D1DataType> d1_m_n_tensors(
|
||||
f_host_tensor_descriptor(M, N, StrideD1, D1Layout{}));
|
||||
ck_tile::HostTensor<EDataType> e_m_n_device_result(
|
||||
f_host_tensor_descriptor(M, N, StrideE, ELayout{}));
|
||||
|
||||
ck_tile::FillUniformDistribution<ADataType>{-5.f, 5.f}(a_m_k_tesnor);
|
||||
ck_tile::FillUniformDistribution<BDataType>{-5.f, 5.f}(b_k_n_tensors);
|
||||
ck_tile::FillUniformDistribution<D0DataType>{-1.f, 1.f}(d0_m_n_tensors);
|
||||
ck_tile::FillUniformDistribution<D1DataType>{-1.f, 1.f}(d1_m_n_tensors);
|
||||
|
||||
ck_tile::DeviceMem a_m_k_dev_buf(a_m_k_tesnor.get_element_space_size_in_bytes());
|
||||
ck_tile::DeviceMem b_k_n_dev_buf(b_k_n_tensors.get_element_space_size_in_bytes());
|
||||
ck_tile::DeviceMem d0_m_n_dev_buf(d0_m_n_tensors.get_element_space_size_in_bytes());
|
||||
ck_tile::DeviceMem d1_m_n_dev_buf(d1_m_n_tensors.get_element_space_size_in_bytes());
|
||||
ck_tile::DeviceMem e_m_n_dev_buf(e_m_n_device_result.get_element_space_size_in_bytes());
|
||||
|
||||
a_m_k_dev_buf.ToDevice(a_m_k_tesnor.mData.data());
|
||||
b_k_n_dev_buf.ToDevice(b_k_n_tensors.mData.data());
|
||||
d0_m_n_dev_buf.ToDevice(d0_m_n_tensors.mData.data());
|
||||
d1_m_n_dev_buf.ToDevice(d1_m_n_tensors.mData.data());
|
||||
|
||||
e_m_n_dev_buf.SetZero();
|
||||
e_m_n_device_result.SetZero();
|
||||
|
||||
std::array<const void*, DsDataType::size()> ds_ptr_buf = {d0_m_n_dev_buf.GetDeviceBuffer(),
|
||||
d1_m_n_dev_buf.GetDeviceBuffer()};
|
||||
std::array<ck_tile::index_t, DsDataType::size()> stridesDs = {StrideD0, StrideD1};
|
||||
|
||||
ck_tile::GemmHostArgs<DsDataType::size()> args({a_m_k_dev_buf.GetDeviceBuffer(),
|
||||
b_k_n_dev_buf.GetDeviceBuffer(),
|
||||
ds_ptr_buf,
|
||||
e_m_n_dev_buf.GetDeviceBuffer(),
|
||||
k_batch,
|
||||
M,
|
||||
N,
|
||||
K,
|
||||
StrideA,
|
||||
StrideB,
|
||||
stridesDs,
|
||||
StrideE});
|
||||
|
||||
invoke_gemm_multi_d<ADataType,
|
||||
BDataType,
|
||||
DsDataType,
|
||||
AccDataType,
|
||||
EDataType,
|
||||
ALayout,
|
||||
BLayout,
|
||||
DsLayout,
|
||||
ELayout,
|
||||
CDElementWiseFn>(args, ck_tile::stream_config{nullptr, false});
|
||||
|
||||
std::cout << "Run kernel with M =" << M << " N =" << N << " K =" << K
|
||||
<< " StrideA =" << StrideA << " StrideB =" << StrideB << " StrideE =" << StrideE
|
||||
<< " StrideD0 =" << StrideD0 << " StrideD1 =" << StrideD1 << std::endl;
|
||||
|
||||
e_m_n_dev_buf.FromDevice(e_m_n_device_result.data());
|
||||
bool pass = true;
|
||||
|
||||
ck_tile::HostTensor<EDataType> e_m_n_host_ref(
|
||||
f_host_tensor_descriptor(M, N, StrideE, ELayout{}));
|
||||
e_m_n_host_ref.SetZero();
|
||||
|
||||
ck_tile::reference_gemm_multiple_d<ADataType,
|
||||
BDataType,
|
||||
DsDataType,
|
||||
AccDataType,
|
||||
EDataType,
|
||||
CDElementWiseFn>(
|
||||
a_m_k_tesnor, b_k_n_tensors, {d0_m_n_tensors, d1_m_n_tensors}, e_m_n_host_ref);
|
||||
|
||||
const float max_accumulated_value =
|
||||
*std::max_element(e_m_n_host_ref.mData.begin(), e_m_n_host_ref.mData.end());
|
||||
const auto rtol_atol =
|
||||
calculate_rtol_atol<ADataType, BDataType, AccDataType, EDataType, DsDataType>(
|
||||
K, k_batch, max_accumulated_value);
|
||||
pass = ck_tile::check_err(e_m_n_device_result,
|
||||
e_m_n_host_ref,
|
||||
"Error: Incorrect results!",
|
||||
rtol_atol.at(ck_tile::number<0>{}),
|
||||
rtol_atol.at(ck_tile::number<1>{}));
|
||||
std::cout << "Relative error threshold: " << rtol_atol.at(ck_tile::number<0>{})
|
||||
<< " Absolute error threshold: " << rtol_atol.at(ck_tile::number<1>{})
|
||||
<< std::endl;
|
||||
|
||||
EXPECT_TRUE(pass);
|
||||
}
|
||||
};
|
||||
Reference in New Issue
Block a user