mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-03-25 09:37:42 +00:00
move test_copy into test
This commit is contained in:
@@ -1,4 +0,0 @@
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add_executable(test_copy_kernel EXCLUDE_FROM_ALL test_copy.cpp)
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target_compile_options(test_copy_kernel PRIVATE
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-mllvm -enable-noalias-to-md-conversion=0
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)
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@@ -1,119 +0,0 @@
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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 "ck_tile/host.hpp"
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#include <cstring>
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#include "test_copy.hpp"
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auto create_args(int argc, char* argv[])
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{
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ck_tile::ArgParser arg_parser;
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arg_parser.insert("m", "64", "m dimension")
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.insert("n", "8", "n dimension")
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.insert("id", "0", "warp to use")
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.insert("v", "1", "cpu validation or not")
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.insert("prec", "fp16", "precision")
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.insert("warmup", "50", "cold iter")
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.insert("repeat", "100", "hot iter");
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bool result = arg_parser.parse(argc, argv);
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return std::make_tuple(result, arg_parser);
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}
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template <typename DataType>
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bool run(const ck_tile::ArgParser& arg_parser)
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{
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using XDataType = DataType;
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using YDataType = DataType;
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ck_tile::index_t m = arg_parser.get_int("m");
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ck_tile::index_t n = arg_parser.get_int("n");
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ck_tile::index_t warp_id = arg_parser.get_int("id");
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int do_validation = arg_parser.get_int("v");
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int warmup = arg_parser.get_int("warmup");
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int repeat = arg_parser.get_int("repeat");
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constexpr auto dword_bytes = 4;
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if(n % (dword_bytes / sizeof(DataType)) != 0)
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{
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std::cerr << "n should be multiple of 2" << std::endl;
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return false;
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}
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ck_tile::HostTensor<XDataType> x_host({m, n});
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ck_tile::HostTensor<YDataType> y_host_ref({m, n});
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ck_tile::HostTensor<YDataType> y_host_dev({m, n});
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// ck_tile::FillConstant<XDataType>{1.f}(x_host);
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ck_tile::half_t value = 1;
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for(int i = 0; i < m; i++)
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{
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value = 1;
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for(int j = 0; j < n; j++)
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{
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x_host(i, j) = value++;
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}
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}
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ck_tile::DeviceMem x_buf(x_host.get_element_space_size_in_bytes());
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ck_tile::DeviceMem y_buf(y_host_dev.get_element_space_size_in_bytes());
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x_buf.ToDevice(x_host.data());
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using BlockWaves = ck_tile::sequence<2, 1>;
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using BlockTile = ck_tile::sequence<64, 8>;
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using WaveTile = ck_tile::sequence<64, 8>;
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using Vector = ck_tile::sequence<1, 2>;
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constexpr bool AsyncCopy = true;
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ck_tile::index_t kGridSize =
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ck_tile::integer_divide_ceil(m, BlockTile::at(ck_tile::number<0>{}));
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using Shape = ck_tile::TileCopyShape<BlockWaves, BlockTile, WaveTile, Vector>;
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using Problem = ck_tile::TileCopyProblem<XDataType, Shape, AsyncCopy>;
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using Kernel = ck_tile::TileCopy<Problem>;
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constexpr ck_tile::index_t kBlockSize = 128;
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constexpr ck_tile::index_t kBlockPerCu = 1;
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float ave_time = launch_kernel(ck_tile::stream_config{nullptr, true, 0, warmup, repeat},
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ck_tile::make_kernel<kBlockSize, kBlockPerCu>(
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Kernel{},
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kGridSize,
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kBlockSize,
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0,
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static_cast<XDataType*>(x_buf.GetDeviceBuffer()),
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static_cast<YDataType*>(y_buf.GetDeviceBuffer()),
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m,
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n,
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warp_id));
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std::size_t num_btype = sizeof(XDataType) * m * n + sizeof(YDataType) * m;
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float gb_per_sec = num_btype / 1.E6 / ave_time;
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std::cout << "Perf: " << ave_time << " ms, " << gb_per_sec << " GB/s" << std::endl;
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bool pass = true;
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if(do_validation)
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{
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// reference
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y_buf.FromDevice(y_host_dev.mData.data());
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pass = ck_tile::check_err(y_host_dev, x_host);
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std::cout << "valid:" << (pass ? "y" : "n") << std::flush << std::endl;
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}
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return pass;
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}
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int main(int argc, char* argv[])
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{
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auto [result, arg_parser] = create_args(argc, argv);
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if(!result)
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return -1;
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const std::string data_type = arg_parser.get_str("prec");
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return run<ck_tile::half_t>(arg_parser) ? 0 : -2;
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}
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@@ -21,5 +21,4 @@ add_subdirectory(18_flatmm)
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add_subdirectory(19_gemm_multi_d)
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add_subdirectory(20_grouped_convolution)
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add_subdirectory(35_batched_transpose)
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add_subdirectory(36_copy)
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add_subdirectory(37_transpose)
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@@ -6,3 +6,4 @@ add_subdirectory(grouped_gemm)
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add_subdirectory(gemm_multi_d)
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add_subdirectory(data_type)
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add_subdirectory(slice_tile)
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add_subdirectory(memory_copy)
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3
test/ck_tile/memory_copy/CMakeLists.txt
Normal file
3
test/ck_tile/memory_copy/CMakeLists.txt
Normal file
@@ -0,0 +1,3 @@
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if(GPU_TARGETS MATCHES "gfx950")
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add_gtest_executable(test_memory_copy test_copy.cpp)
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endif()
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129
test/ck_tile/memory_copy/test_copy.cpp
Normal file
129
test/ck_tile/memory_copy/test_copy.cpp
Normal file
@@ -0,0 +1,129 @@
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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 <algorithm>
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#include <gtest/gtest.h>
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#include "ck_tile/host.hpp"
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#include "ck_tile/core.hpp"
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#include "ck_tile/host/kernel_launch.hpp"
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#include "test_copy.hpp"
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struct MemoryCopyParam
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{
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MemoryCopyParam(ck_tile::index_t m_, ck_tile::index_t n_, ck_tile::index_t warp_id_)
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: m(m_), n(n_), warp_id(warp_id_)
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{
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}
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ck_tile::index_t m;
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ck_tile::index_t n;
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ck_tile::index_t warp_id;
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};
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template <typename DataType>
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class TestCkTileMemoryCopy : public ::testing::Test
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{
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protected:
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void Run(const MemoryCopyParam& memcpy_params)
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{
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using XDataType = DataType;
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using YDataType = DataType;
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ck_tile::index_t m = memcpy_params.m;
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ck_tile::index_t n = memcpy_params.n;
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ck_tile::index_t warp_id = memcpy_params.warp_id;
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constexpr auto dword_bytes = 4;
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if(n % (dword_bytes / sizeof(DataType)) != 0)
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{
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std::cerr << "n size should be multiple of dword_bytes" << std::endl;
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}
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ck_tile::HostTensor<XDataType> x_host({m, n});
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ck_tile::HostTensor<YDataType> y_host_dev({m, n});
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std::cout << "input: " << x_host.mDesc << std::endl;
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std::cout << "output: " << y_host_dev.mDesc << std::endl;
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ck_tile::half_t value = 1;
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for(int i = 0; i < m; i++)
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{
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value = 1;
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for(int j = 0; j < n; j++)
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{
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x_host(i, j) = value++;
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}
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}
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ck_tile::DeviceMem x_buf(x_host.get_element_space_size_in_bytes());
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ck_tile::DeviceMem y_buf(y_host_dev.get_element_space_size_in_bytes());
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x_buf.ToDevice(x_host.data());
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using BlockWaves = ck_tile::sequence<2, 1>;
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using BlockTile = ck_tile::sequence<64, 8>;
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using WaveTile = ck_tile::sequence<64, 8>;
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using Vector = ck_tile::sequence<1, 2>;
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constexpr bool AsyncCopy = true;
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ck_tile::index_t kGridSize =
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ck_tile::integer_divide_ceil(m, BlockTile::at(ck_tile::number<0>{}));
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using Shape = ck_tile::TileCopyShape<BlockWaves, BlockTile, WaveTile, Vector>;
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using Problem = ck_tile::TileCopyProblem<XDataType, Shape, AsyncCopy>;
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using Kernel = ck_tile::TileCopy<Problem>;
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constexpr ck_tile::index_t kBlockSize = 128;
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constexpr ck_tile::index_t kBlockPerCu = 1;
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launch_kernel(ck_tile::stream_config{},
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ck_tile::make_kernel<kBlockSize, kBlockPerCu>(
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Kernel{},
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kGridSize,
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kBlockSize,
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0,
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static_cast<XDataType*>(x_buf.GetDeviceBuffer()),
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static_cast<YDataType*>(y_buf.GetDeviceBuffer()),
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m,
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n,
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warp_id));
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// reference
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y_buf.FromDevice(y_host_dev.mData.data());
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bool pass = ck_tile::check_err(y_host_dev, x_host);
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EXPECT_TRUE(pass);
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}
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};
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class TestCkTileMemoryCopyHalf : public TestCkTileMemoryCopy<ck_tile::half_t>
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{
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};
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class TestCkTileMemoryCopyBFloat : public TestCkTileMemoryCopy<ck_tile::bf16_t>
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{
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};
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TEST_F(TestCkTileMemoryCopyHalf, TestCorrectness)
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{
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this->Run({64, 8, 0});
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this->Run({63, 8, 0});
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this->Run({63, 2, 0});
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this->Run({127, 30, 0});
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this->Run({64, 8, 1});
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this->Run({63, 8, 1});
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this->Run({63, 2, 1});
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this->Run({127, 30, 1});
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}
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TEST_F(TestCkTileMemoryCopyBFloat, TestCorrectness)
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{
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this->Run({64, 8, 0});
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this->Run({63, 8, 0});
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this->Run({63, 2, 0});
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this->Run({127, 30, 0});
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this->Run({64, 8, 1});
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this->Run({63, 8, 1});
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this->Run({63, 2, 1});
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this->Run({127, 30, 1});
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}
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@@ -18,10 +18,10 @@ template <typename BlockWaves, // num warps along seq<M, N>
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struct TileCopyShape
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{
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// We split Workgroup waves into two specialized groups.
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// One for reading data from global -> LDS, the other is doing reduction
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// One for reading data from global -> LDS, the other idled
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static constexpr index_t WaveGroups = 2;
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static constexpr index_t MWarps = BlockWaves::at(number<0>{});
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static constexpr index_t NWarps = BlockWaves::at(number<0>{});
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static constexpr index_t NWarps = BlockWaves::at(number<1>{});
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static constexpr index_t Block_M = BlockTile::at(number<0>{});
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static constexpr index_t Block_N = BlockTile::at(number<1>{});
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@@ -36,9 +36,8 @@ struct TileCopyShape
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static constexpr index_t ThreadPerWarp_N = Warp_N / Vector_N;
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// We splited the waves on M dimension
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static constexpr index_t WarpPerBlock_M =
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integer_divide_ceil(BlockWaves::at(number<0>{}), WaveGroups);
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static constexpr index_t WarpPerBlock_N = BlockWaves::at(number<1>{});
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static constexpr index_t WarpPerBlock_M = integer_divide_ceil(MWarps, WaveGroups);
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static constexpr index_t WarpPerBlock_N = NWarps;
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static constexpr index_t Repeat_M = Block_M / (WarpPerBlock_M * Warp_M);
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static constexpr index_t Repeat_N = Block_N / (WarpPerBlock_N * Warp_N);
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