Unverified Commit f1e53807 authored by Illia Silin's avatar Illia Silin Committed by GitHub
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Merge branch 'develop' into ck_host_lib

parents 7450417d d9f1ead3
[Back to the main page](../../README.md)
# Composable Kernel wrapper GEMM tutorial
This tutorial demonstrates how to implement matrix multiplication using Composable Kernel (CK)
wrapper. We present the base version of GEMM without most of the available optimizations; however,
it's worth noting that CK has kernels with different optimizations.
This tutorial demonstrates how to implement matrix multiplication using Composable Kernel (CK) wrapper. We present the base version of GEMM without most of the available optimizations; however, it's worth noting that CK has kernels with different optimizations.
To implement these optimizations, you can use the CK wrapper or directly use available instances in
CK. You can also refer to the
[optimized GEMM example](https://github.com/ROCm/composable_kernel/blob/develop/client_example/25_wrapper/wrapper_optimized_gemm.cpp),
that uses CK wrapper based on the
[`gridwise_gemm_xdlops_v2r3`](https://github.com/ROCm/composable_kernel/blob/develop/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_v2r3.hpp) implementation.
To implement these optimizations, you can use the CK wrapper or directly use available instances in CK. You can also refer to the [optimized GEMM example](https://github.com/ROCm/composable_kernel/blob/develop/client_example/25_wrapper/wrapper_optimized_gemm.cpp), that uses CK wrapper based on the [`gridwise_gemm_xdlops_v2r3`](https://github.com/ROCm/composable_kernel/blob/develop/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_v2r3.hpp) implementation.
The kernel definition should look similar to:
......
......@@ -121,7 +121,7 @@ bool run_grouped_gemm(const ProblemSize& problem_size, const ExecutionConfig& co
constexpr ck::index_t NumDTensor = 2;
using GroupedGemmKernelArgument =
ck::tensor_operation::device::GroupedGemmTileLoopKernelArguments<NumDTensor>;
ck::tensor_operation::device::GroupedGemmKernelArgument<NumDTensor>;
std::vector<GroupedGemmKernelArgument> grouped_gemm_kernel_args_;
grouped_gemm_kernel_args_.reserve(group_count);
......
......@@ -120,7 +120,7 @@ bool run_grouped_gemm(const ProblemSize& problem_size, const ExecutionConfig& co
constexpr ck::index_t NumDTensor = 1;
using GroupedGemmKernelArgument =
ck::tensor_operation::device::GroupedGemmTileLoopKernelArguments<NumDTensor>;
ck::tensor_operation::device::GroupedGemmKernelArgument<NumDTensor>;
std::vector<GroupedGemmKernelArgument> grouped_gemm_kernel_args_;
grouped_gemm_kernel_args_.reserve(group_count);
......
......@@ -56,13 +56,21 @@ if (GPU_TARGETS)
add_definitions(-DCK_USE_WMMA)
set(CK_USE_WMMA "ON")
endif()
if (GPU_TARGETS MATCHES "gfx12" OR GPU_TARGETS MATCHES "gfx950")
add_definitions(-DCK_USE_OCP_FP8)
set(CK_USE_OCP_FP8 "ON")
endif()
if (GPU_TARGETS MATCHES "gfx90a" OR GPU_TARGETS MATCHES "gfx94")
add_definitions(-DCK_USE_FNUZ_FP8)
set(CK_USE_FNUZ_FP8 "ON")
endif()
else()
add_definitions(-DCK_USE_WMMA -DCK_USE_XDL)
set(CK_USE_XDL "ON")
set(CK_USE_WMMA "ON")
endif()
find_package(composable_kernel COMPONENTS device_other_operations device_gemm_operations device_conv_operations device_reduction_operations)
find_package(composable_kernel COMPONENTS device_other_operations device_gemm_operations device_conv_operations device_reduction_operations utility)
if(GPU_TARGETS MATCHES "gfx9")
find_package(composable_kernel COMPONENTS device_contraction_operations)
endif()
......
[Back to the main page](../README.md)
# Composable Kernel client examples
##
Client application links to CK library, and therefore CK library needs to be installed before building client applications.
......
......@@ -66,7 +66,7 @@ else()
-Wunreachable-code
-Wunused
-Wno-reserved-identifier
-Werror
-Werror
-Wno-option-ignored
-Wsign-compare
-Wno-extra-semi-stmt
......
......@@ -7,6 +7,7 @@ set(CMAKE_LIBRARY_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/lib)
set(CMAKE_ARCHIVE_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/lib)
set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/bin)
set(CK_ROOT ${CMAKE_CURRENT_SOURCE_DIR}/..)
configure_file(${CK_ROOT}/include/ck/config.h.in ${CK_ROOT}/include/ck/config.h)
find_package(ROCM)
include(ROCMInstallTargets)
......
[Back to the main page](../README.md)
# Composable Kernel codegen
\ No newline at end of file
// SPDX-License-Identifier: MIT
// Copyright (c) 2024-2025, Advanced Micro Devices, Inc. All rights reserved.
#include <functional>
#include <iostream>
......
// SPDX-License-Identifier: MIT
// Copyright (c) 2024-2025, Advanced Micro Devices, Inc. All rights reserved.
#include "ck/host/headers.hpp"
#include "ck_headers.hpp"
......
// SPDX-License-Identifier: MIT
// Copyright (c) 2024-2025, Advanced Micro Devices, Inc. All rights reserved.
#include "ck/host/types.hpp"
#include "ck/host/stringutils.hpp"
#include <algorithm>
......
// SPDX-License-Identifier: MIT
// Copyright (c) 2024-2025, Advanced Micro Devices, Inc. All rights reserved.
#include "ck/host/device_gemm_multiple_d/problem.hpp"
#include "ck/host/device_gemm_multiple_d/operation.hpp"
#include "ck/host/headers.hpp"
......
// SPDX-License-Identifier: MIT
// Copyright (c) 2024-2025, Advanced Micro Devices, Inc. All rights reserved.
#include "ck/host/device_grouped_conv_fwd_multiple_d/conv_fwd_op.hpp"
#include "ck/host/device_grouped_conv_fwd_multiple_d/conv_fwd_problem.hpp"
#include "ck/host/headers.hpp"
......
// SPDX-License-Identifier: MIT
// Copyright (c) 2024-2025, Advanced Micro Devices, Inc. All rights reserved.
#include "ck/host/device_grouped_conv_fwd_multiple_d/conv_fwd_op.hpp"
#include "ck/host/device_grouped_conv_fwd_multiple_d/conv_fwd_problem.hpp"
#include "ck/host/headers.hpp"
......
// SPDX-License-Identifier: MIT
// Copyright (c) 2024-2025, Advanced Micro Devices, Inc. All rights reserved.
#include "ck/host/device_grouped_conv_fwd_multiple_d/conv_fwd_op.hpp"
#include "ck/host/device_grouped_conv_fwd_multiple_d/conv_fwd_problem.hpp"
#include "ck/host/headers.hpp"
......
// SPDX-License-Identifier: MIT
// Copyright (c) 2024-2025, Advanced Micro Devices, Inc. All rights reserved.
#include "ck/host/device_grouped_conv_fwd_multiple_d/conv_fwd_op.hpp"
#include "ck/host/device_grouped_conv_fwd_multiple_d/conv_fwd_problem.hpp"
#include "ck/host/headers.hpp"
......
// SPDX-License-Identifier: MIT
// Copyright (c) 2024-2025, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
#include <algorithm>
#include <cmath>
......
// SPDX-License-Identifier: MIT
// Copyright (c) 2024-2025, Advanced Micro Devices, Inc. All rights reserved.
#ifndef GUARD_HOST_TEST_RTC_INCLUDE_RTC_COMPILE_KERNEL
#define GUARD_HOST_TEST_RTC_INCLUDE_RTC_COMPILE_KERNEL
......
// SPDX-License-Identifier: MIT
// Copyright (c) 2024-2025, Advanced Micro Devices, Inc. All rights reserved.
#ifndef GUARD_HOST_TEST_RTC_INCLUDE_RTC_HIP
#define GUARD_HOST_TEST_RTC_INCLUDE_RTC_HIP
#include <hip/hip_runtime_api.h>
#include <memory>
#include <stdexcept>
#include <string>
#include <stdexcept>
......
// SPDX-License-Identifier: MIT
// Copyright (c) 2024-2025, Advanced Micro Devices, Inc. All rights reserved.
#ifndef GUARD_HOST_TEST_RTC_INCLUDE_RTC_KERNEL
#define GUARD_HOST_TEST_RTC_INCLUDE_RTC_KERNEL
......
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