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Commit 057140b1 authored by Adam Osewski's avatar Adam Osewski
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Merge remote-tracking branch 'origin/develop' into aosewski/ggemm_multi_d2

parents 134fc2e7 12a8883c
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docs/conf.py
View file @ 057140b1
...@@ -4,23 +4,34 @@ ...@@ -4,23 +4,34 @@
# list see the documentation: # list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html # https://www.sphinx-doc.org/en/master/usage/configuration.html
import subprocess import re
from rocm_docs import ROCmDocs from rocm_docs import ROCmDocs
html_theme_options = {"flavor": "list"}
name = "Composable Kernel" with open('../CMakeLists.txt', encoding='utf-8') as f:
get_version = r'sed -n -e "s/^rocm_setup_version(.* \([0-9\.]\{1,\}\).*/\1/p" ../CMakeLists.txt' match = re.search(r'.*set\(version ([0-9.]+)[^0-9.]+', f.read())
version = subprocess.getoutput(get_version) if not match:
if len(version) > 0: raise ValueError("VERSION not found!")
name = f"{name} {version}" version_number = match[1]
left_nav_title = f"Composable Kernel {version_number} Documentation"
# for PDF output on Read the Docs
project = "Composable Kernel Documentation"
author = "Advanced Micro Devices, Inc."
copyright = "Copyright (c) 2023 Advanced Micro Devices, Inc. All rights reserved."
version = version_number
release = version_number
external_toc_path = "./sphinx/_toc.yml" external_toc_path = "./sphinx/_toc.yml"
docs_core = ROCmDocs(f"{name} Documentation") docs_core = ROCmDocs(left_nav_title)
docs_core.run_doxygen(doxygen_root="doxygen", doxygen_path="doxygen/docBin/xml") docs_core.run_doxygen(doxygen_root="doxygen", doxygen_path="doxygen/xml")
docs_core.setup() docs_core.setup()
external_projects_current_project = "composable_kernel"
mathjax3_config = { mathjax3_config = {
'tex': { 'tex': {
'macros': { 'macros': {
......
docs/doxygen/Doxyfile
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...@@ -58,7 +58,7 @@ PROJECT_LOGO = ...@@ -58,7 +58,7 @@ PROJECT_LOGO =
# entered, it will be relative to the location where doxygen was started. If # entered, it will be relative to the location where doxygen was started. If
# left blank the current directory will be used. # left blank the current directory will be used.
OUTPUT_DIRECTORY = docBin OUTPUT_DIRECTORY = .
# If the CREATE_SUBDIRS tag is set to YES then doxygen will create 4096 sub- # If the CREATE_SUBDIRS tag is set to YES then doxygen will create 4096 sub-
# directories (in 2 levels) under the output directory of each output format and # directories (in 2 levels) under the output directory of each output format and
...@@ -778,7 +778,9 @@ WARN_LOGFILE = ...@@ -778,7 +778,9 @@ WARN_LOGFILE =
INPUT = ../../include/ck/tensor_operation/gpu/grid \ INPUT = ../../include/ck/tensor_operation/gpu/grid \
../../include/ck/tensor_operation/gpu/block \ ../../include/ck/tensor_operation/gpu/block \
../../include/ck/tensor_operation/gpu/thread \ ../../include/ck/tensor_operation/gpu/thread \
../../library/include/ck/library/utility ../../library/include/ck/library/utility \
../../include/ck/wrapper
# This tag can be used to specify the character encoding of the source files # This tag can be used to specify the character encoding of the source files
# that doxygen parses. Internally doxygen uses the UTF-8 encoding. Doxygen uses # that doxygen parses. Internally doxygen uses the UTF-8 encoding. Doxygen uses
......
docs/index.rst
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...@@ -34,6 +34,7 @@ Current CK library are structured into 4 layers: ...@@ -34,6 +34,7 @@ Current CK library are structured into 4 layers:
* "Templated Tile Operators" layer * "Templated Tile Operators" layer
* "Templated Kernel and Invoker" layer * "Templated Kernel and Invoker" layer
* "Instantiated Kernel and Invoker" layer * "Instantiated Kernel and Invoker" layer
* "Wrapper for tensor transform operations"
* "Client API" layer * "Client API" layer
.. image:: data/ck_layer.png .. image:: data/ck_layer.png
...@@ -50,6 +51,7 @@ The following is a list of CK documents in the suggested reading order: ...@@ -50,6 +51,7 @@ The following is a list of CK documents in the suggested reading order:
tutorial_hello_world tutorial_hello_world
dockerhub dockerhub
wrapper
Supported_Primitives_Guide Supported_Primitives_Guide
API_Reference_Guide API_Reference_Guide
Contributors_Guide Contributors_Guide
docs/sphinx/_toc.yml.in
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...@@ -5,6 +5,6 @@ defaults: ...@@ -5,6 +5,6 @@ defaults:
maxdepth: 6 maxdepth: 6
root: index root: index
subtrees: subtrees:
- caption: About - caption: About
entries: entries:
- file: license - file: license
docs/sphinx/requirements.in
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rocm-docs-core>=0.20.0 rocm-docs-core==0.30.1
sphinxcontrib-bibtex==2.6.1 sphinxcontrib-bibtex==2.6.1
docs/sphinx/requirements.txt
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...@@ -16,7 +16,7 @@ beautifulsoup4==4.11.2 ...@@ -16,7 +16,7 @@ beautifulsoup4==4.11.2
# via pydata-sphinx-theme # via pydata-sphinx-theme
breathe==4.34.0 breathe==4.34.0
# via rocm-docs-core # via rocm-docs-core
certifi==2022.12.7 certifi==2023.7.22
# via requests # via requests
cffi==1.15.1 cffi==1.15.1
# via # via
...@@ -26,7 +26,7 @@ charset-normalizer==3.1.0 ...@@ -26,7 +26,7 @@ charset-normalizer==3.1.0
# via requests # via requests
click==8.1.3 click==8.1.3
# via sphinx-external-toc # via sphinx-external-toc
cryptography==40.0.2 cryptography==41.0.6
# via pyjwt # via pyjwt
deprecated==1.2.13 deprecated==1.2.13
# via pygithub # via pygithub
...@@ -42,12 +42,18 @@ fastjsonschema==2.18.0 ...@@ -42,12 +42,18 @@ fastjsonschema==2.18.0
# via rocm-docs-core # via rocm-docs-core
gitdb==4.0.10 gitdb==4.0.10
# via gitpython # via gitpython
gitpython==3.1.35 gitpython==3.1.37
# via rocm-docs-core # via rocm-docs-core
idna==3.4 idna==3.4
# via requests # via requests
imagesize==1.4.1 imagesize==1.4.1
# via sphinx # via sphinx
importlib-metadata==6.8.0
# via
# sphinx
# sphinxcontrib-bibtex
importlib-resources==6.1.0
# via rocm-docs-core
jinja2==3.1.2 jinja2==3.1.2
# via # via
# myst-parser # myst-parser
...@@ -82,28 +88,32 @@ pydata-sphinx-theme==0.13.3 ...@@ -82,28 +88,32 @@ pydata-sphinx-theme==0.13.3
# via # via
# rocm-docs-core # rocm-docs-core
# sphinx-book-theme # sphinx-book-theme
pygithub==1.58.2 pygithub==1.58.1
# via rocm-docs-core # via rocm-docs-core
pygments==2.14.0 pygments==2.15.0
# via # via
# accessible-pygments # accessible-pygments
# pydata-sphinx-theme # pydata-sphinx-theme
# sphinx # sphinx
pyjwt[crypto]==2.6.0 pyjwt[crypto]==2.6.0
# via pygithub # via
# pygithub
# pyjwt
pynacl==1.5.0 pynacl==1.5.0
# via pygithub # via pygithub
pytz==2023.3.post1
# via babel
pyyaml==6.0 pyyaml==6.0
# via # via
# myst-parser # myst-parser
# pybtex # pybtex
# rocm-docs-core # rocm-docs-core
# sphinx-external-toc # sphinx-external-toc
requests==2.28.2 requests==2.31.0
# via # via
# pygithub # pygithub
# sphinx # sphinx
rocm-docs-core==0.26.0 rocm-docs-core==0.30.1
# via -r requirements.in # via -r requirements.in
six==1.16.0 six==1.16.0
# via # via
...@@ -131,7 +141,7 @@ sphinx-book-theme==1.0.1 ...@@ -131,7 +141,7 @@ sphinx-book-theme==1.0.1
# via rocm-docs-core # via rocm-docs-core
sphinx-copybutton==0.5.1 sphinx-copybutton==0.5.1
# via rocm-docs-core # via rocm-docs-core
sphinx-design==0.3.0 sphinx-design==0.4.1
# via rocm-docs-core # via rocm-docs-core
sphinx-external-toc==0.3.1 sphinx-external-toc==0.3.1
# via rocm-docs-core # via rocm-docs-core
...@@ -153,7 +163,11 @@ sphinxcontrib-serializinghtml==1.1.5 ...@@ -153,7 +163,11 @@ sphinxcontrib-serializinghtml==1.1.5
# via sphinx # via sphinx
typing-extensions==4.5.0 typing-extensions==4.5.0
# via pydata-sphinx-theme # via pydata-sphinx-theme
urllib3==1.26.15 urllib3==1.26.18
# via requests # via requests
wrapt==1.15.0 wrapt==1.15.0
# via deprecated # via deprecated
zipp==3.17.0
# via
# importlib-metadata
# importlib-resources
docs/wrapper.rst 0 → 100644
View file @ 057140b1
===============
Wrapper
===============
-------------------------------------
Description
-------------------------------------
.. note::
The wrapper is under development and its functionality is limited.
CK provides a lightweight wrapper for more complex operations implemented in
the library. It allows indexing of nested layouts using a simple interface
(avoiding complex descriptor transformations) and memory access (using Tensor).
Example:
.. code-block:: c
const auto shape_4x2x4 = ck::make_tuple(4, ck::make_tuple(2, 4));
const auto strides_s2x1x8 = ck::make_tuple(2, ck::make_tuple(1, 8));
const auto layout = ck::wrapper::make_layout(shape_4x2x4, strides_s2x1x8);
std::array<ck::index_t, 32> data;
auto tensor = ck::wrapper::make_tensor<ck::wrapper::MemoryTypeEnum::Generic>(&data[0], layout);
for(ck::index_t w = 0; w < size(tensor); w++) {
tensor(w) = w;
}
// slice() == slice(0, -1) (whole dimension)
auto tensor_slice = tensor(ck::wrapper::slice(1, 3), ck::make_tuple(ck::wrapper::slice(), ck::wrapper::slice()));
std::cout << "dims:2,(2,4) strides:2,(1,8)" << std::endl;
for(ck::index_t h = 0; h < ck::wrapper::size<0>(tensor_slice); h++)
{
for(ck::index_t w = 0; w < ck::wrapper::size<1>(tensor_slice); w++)
{
std::cout << tensor_slice(h, w) << " ";
}
std::cout << std::endl;
}
Output::
dims:2,(2,4) strides:2,(1,8)
1 5 9 13 17 21 25 29
2 6 10 14 18 22 26 30
-------------------------------------
Layout
-------------------------------------
.. doxygenstruct:: ck::wrapper::Layout
-------------------------------------
Layout helpers
-------------------------------------
.. doxygenfile:: layout_utils.hpp
-------------------------------------
Tensor
-------------------------------------
.. doxygenstruct:: ck::wrapper::Tensor
-------------------------------------
Tensor helpers
-------------------------------------
.. doxygenfile:: tensor_utils.hpp
example/01_gemm/CMakeLists.txt
View file @ 057140b1
...@@ -44,7 +44,7 @@ if(USE_BITINT_EXTENSION_INT4) ...@@ -44,7 +44,7 @@ if(USE_BITINT_EXTENSION_INT4)
add_example_dependencies(example_gemm_xdl example_gemm_xdl_int4) add_example_dependencies(example_gemm_xdl example_gemm_xdl_int4)
endif(USE_BITINT_EXTENSION_INT4) endif(USE_BITINT_EXTENSION_INT4)
# FIXME: re-enable this exampe as test when SWDEV-335738 is fixed # FIXME: re-enable this example as test when SWDEV-335738 is fixed
add_example_executable_no_testing(example_gemm_xdl_fp64 gemm_xdl_fp64.cpp) add_example_executable_no_testing(example_gemm_xdl_fp64 gemm_xdl_fp64.cpp)
add_example_dependencies(example_gemm_xdl example_gemm_xdl_fp64) add_example_dependencies(example_gemm_xdl example_gemm_xdl_fp64)
...@@ -56,5 +56,18 @@ add_example_dependencies(example_gemm_xdl example_gemm_xdl_fp8) ...@@ -56,5 +56,18 @@ add_example_dependencies(example_gemm_xdl example_gemm_xdl_fp8)
add_example_executable(example_gemm_xdl_fp8_bf8 gemm_xdl_fp8_bf8.cpp) add_example_executable(example_gemm_xdl_fp8_bf8 gemm_xdl_fp8_bf8.cpp)
add_example_dependencies(example_gemm_xdl example_gemm_xdl_fp8_bf8) add_example_dependencies(example_gemm_xdl example_gemm_xdl_fp8_bf8)
list(APPEND gpu_list gfx90a gfx940 gfx941 gfx942)
set(target 0)
foreach(gpu IN LISTS GPU_TARGETS)
if(gpu IN_LIST gpu_list AND target EQUAL 0)
add_example_executable(example_gemm_xdl_lds_direct_load_fp32 gemm_xdl_lds_direct_load_fp32.cpp)
add_example_dependencies(example_gemm_xdl example_gemm_xdl_lds_direct_load_fp32)
add_example_executable(example_gemm_xdl_lds_direct_load_fp16 gemm_xdl_lds_direct_load_fp16.cpp)
add_example_dependencies(example_gemm_xdl example_gemm_xdl_lds_direct_load_fp16)
set(target 1)
endif()
endforeach()
add_example_executable(example_gemm_xdl_fp16_fp8 gemm_xdl_fp16_fp8.cpp) add_example_executable(example_gemm_xdl_fp16_fp8 gemm_xdl_fp16_fp8.cpp)
add_example_dependencies(example_gemm_xdl example_gemm_xdl_fp16_fp8) add_example_dependencies(example_gemm_xdl example_gemm_xdl_fp16_fp8)
example/01_gemm/gemm_xdl_fp16.cpp
View file @ 057140b1
...@@ -9,13 +9,13 @@ ...@@ -9,13 +9,13 @@
using ADataType = ck::half_t; using ADataType = ck::half_t;
using BDataType = ck::half_t; using BDataType = ck::half_t;
using AccDataType = float; using AccDataType = float;
using CShuffleDataType = float; using CShuffleDataType = ck::half_t;
using CDataType = ck::half_t; using CDataType = ck::half_t;
using F16 = ck::half_t; using F16 = ck::half_t;
using ALayout = Row; using ALayout = Row;
using BLayout = Col; using BLayout = Row;
using CLayout = Row; using CLayout = Row;
using AElementOp = PassThrough; using AElementOp = PassThrough;
...@@ -30,7 +30,7 @@ using DeviceGemmInstance0 = ck::tensor_operation::device::DeviceGemmXdl ...@@ -30,7 +30,7 @@ using DeviceGemmInstance0 = ck::tensor_operation::device::DeviceGemmXdl
// ######| Type| Type| Type| Type| | | | Elementwise| Elementwise| Elementwise|Spacialization| Size| Block| Block| Block| | XDL| XDL| Per| Per| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN| SrcDstVectorDim| DstScalar| // ######| Type| Type| Type| Type| | | | Elementwise| Elementwise| Elementwise|Spacialization| Size| Block| Block| Block| | XDL| XDL| Per| Per| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN| SrcDstVectorDim| DstScalar|
// ######| | | | | | | | Operation| Operation| Operation| | | | | | | | | Wave| Wave| Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| | | PerVector| // ######| | | | | | | | Operation| Operation| Operation| | | | | | | | | Wave| Wave| Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| | | PerVector|
// ######| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | // ######| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
< ADataType, BDataType, CDataType, AccDataType, ALayout, BLayout, CLayout, AElementOp, BElementOp, CElementOp, GemmDefault, 256, 256, 128, 4, 8, 32, 32, 4, 2, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, 7, 1>; < ADataType, BDataType, CDataType, AccDataType, ALayout, BLayout, CLayout, AElementOp, BElementOp, CElementOp, GemmDefault, 256, 256, 128, 4, 8, 32, 32, 4, 2, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 8, true, 7, 1>;
// // clang-format on // // clang-format on
// clang-format off // clang-format off
...@@ -39,7 +39,7 @@ using DeviceGemmInstance1 = ck::tensor_operation::device::DeviceGemm_Xdl_CShuffl ...@@ -39,7 +39,7 @@ using DeviceGemmInstance1 = ck::tensor_operation::device::DeviceGemm_Xdl_CShuffl
// ######| | | | Type| Type| Type| Type| DataType| Elementwise| Elementwise| Elementwise| Spacialization| Prefetch| Size| Block| Block| Block| | | XDL| XDL| Per| Per| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN| MXdlPerWave| NXdlPerWave| _MBlock_MWaveMPerXdl| ScalarPerVector| // ######| | | | Type| Type| Type| Type| DataType| Elementwise| Elementwise| Elementwise| Spacialization| Prefetch| Size| Block| Block| Block| | | XDL| XDL| Per| Per| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN| MXdlPerWave| NXdlPerWave| _MBlock_MWaveMPerXdl| ScalarPerVector|
// ######| | | | | | | | | Operation| Operation| Operation| | Stage| | | | | | | | | Wave| Wave| Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| | PerShuffle| PerShuffle| _NBlock_NWaveNPerXdl| _NWaveNPerXdl| // ######| | | | | | | | | Operation| Operation| Operation| | Stage| | | | | | | | | Wave| Wave| Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| | PerShuffle| PerShuffle| _NBlock_NWaveNPerXdl| _NWaveNPerXdl|
// ######| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | // ######| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
< ALayout, BLayout, CLayout, ADataType, BDataType, CDataType, AccDataType, CShuffleDataType, AElementOp, BElementOp, CElementOp, GemmDefault, 1, 256, 256, 128, 32, 8, 8, 32, 32, 4, 2, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, 1, 1, S<1, 32, 1, 8>, 8>; < ALayout, BLayout, CLayout, ADataType, BDataType, CDataType, AccDataType, CShuffleDataType, AElementOp, BElementOp, CElementOp, GemmDefault, 1, 256, 256, 128, 32, 8, 2, 32, 32, 4, 2, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 2, S<1, 16, 1, 16>, 8, ck::LoopScheduler::Interwave, ck::PipelineVersion::v1>;
// clang-format on // clang-format on
using DeviceGemmInstance = DeviceGemmInstance1; using DeviceGemmInstance = DeviceGemmInstance1;
......
example/01_gemm/gemm_xdl_lds_direct_load_fp16.cpp 0 → 100644
View file @ 057140b1
// SPDX-License-Identifier: MIT
// Copyright (c) 2023, Advanced Micro Devices, Inc. All rights reserved.
#include <iostream>
#include "common.hpp"
#define USING_DIRECT_LOADS 1
#if USING_DIRECT_LOADS
#include "ck/tensor_operation/gpu/device/impl/device_gemm_xdl_cshuffle_lds_direct_load.hpp"
#else
#include "ck/tensor_operation/gpu/device/impl/device_gemm_xdl_cshuffle.hpp"
#endif
using F16 = ck::half_t;
using F32 = float;
using ADataType = F16;
using BDataType = F16;
using AccDataType = F32;
using CShuffleDataType = F32;
using CDataType = F16;
using ALayout = Row;
using BLayout = Col;
using CLayout = Row;
using AElementOp = PassThrough;
using BElementOp = PassThrough;
using CElementOp = PassThrough;
static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpecialization::Default;
#if USING_DIRECT_LOADS
// clang-format off
using DeviceGemmInstance = ck::tensor_operation::device::DeviceGemm_Xdl_CShuffle_LdsDirectLoad
// ######| ALayout| BLayout| CLayout| AData| BData| CData| AccData| CShuffle| A| B| C| GEMM| NumGemmK| Block| MPer| NPer| KPer| AK1| BK1| MPer| NPer| MXdl| NXdl| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockLds| CShuffle| CShuffle| CBlockTransferClusterLengths| CBlockTransfer|
// ######| | | | Type| Type| Type| Type| DataType| Elementwise| Elementwise| Elementwise| Spacialization| Prefetch| Size| Block| Block| Block| | | XDL| XDL| Per| Per| ThreadCluster| SrcAccessOrder| SrcVectorDim| Scalar| AddExtraM| ThreadCluster| SrcAccessOrder| SrcVectorDim| Scalar| AddExtraN| MXdlPerWave| NXdlPerWave| _MBlock_MWaveMPerXdl| ScalarPerVector|
// ######| | | | | | | | | Operation| Operation| Operation| | Stage| | | | | | | | | Wave| Wave| Lengths_K0_M_K1| | | PerVector| | Lengths_K0_N_K1| | | PerVector| | PerShuffle| PerShuffle| _NBlock_NWaveNPerXdl| _NWaveNPerXdl|
// ######| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
< ALayout, BLayout, CLayout, ADataType, BDataType, CDataType, AccDataType, CShuffleDataType, AElementOp, BElementOp, CElementOp, GemmDefault, 1, 256, 128, 128, 32, 8, 8, 32, 32, 2, 2, S<4, 16, 4>, S<1, 0, 2>, 2, 2, 1, S<4, 16, 4>, S<1, 0, 2>, 2, 2, 1, 1, 1, S<1, 8, 1, 8>, 4>;
// clang-format on
#else
// clang-format off
using DeviceGemmInstance = ck::tensor_operation::device::DeviceGemm_Xdl_CShuffle
// ######| ALayout| BLayout| CLayout| AData| BData| CData| AccData| CShuffle| A| B| C| GEMM| NumGemmK| Block| MPer| NPer| KPer| AK1| BK1| MPer| NPer| MXdl| NXdl| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds| BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| BBlockLds| CShuffle| CShuffle| CBlockTransferClusterLengths| CBlockTransfer|
// ######| | | | Type| Type| Type| Type| DataType| Elementwise| Elementwise| Elementwise| Spacialization| Prefetch| Size| Block| Block| Block| | | XDL| XDL| Per| Per| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN| MXdlPerWave| NXdlPerWave| _MBlock_MWaveMPerXdl| ScalarPerVector|
// ######| | | | | | | | | Operation| Operation| Operation| | Stage| | | | | | | | | Wave| Wave| Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| | PerShuffle| PerShuffle| _NBlock_NWaveNPerXdl| _NWaveNPerXdl|
// ######| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
< ALayout, BLayout, CLayout, ADataType, BDataType, CDataType, AccDataType, CShuffleDataType, AElementOp, BElementOp, CElementOp, GemmDefault, 1, 256, 128, 128, 32, 8, 8, 32, 32, 2, 2, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, 1, 1, S<1, 8, 1, 8>, 4>;
// clang-format on
#endif
using ReferenceGemmInstance = ck::tensor_operation::host::
ReferenceGemm<ADataType, BDataType, CDataType, AccDataType, AElementOp, BElementOp, CElementOp>;
#include "run_gemm_example.inc"
int main(int argc, char* argv[]) { return !run_gemm_example(argc, argv); }
example/01_gemm/gemm_xdl_lds_direct_load_fp32.cpp 0 → 100644
View file @ 057140b1
// SPDX-License-Identifier: MIT
// Copyright (c) 2023, Advanced Micro Devices, Inc. All rights reserved.
#include <iostream>
#include "common.hpp"
#define USING_DIRECT_LOADS 1
#if USING_DIRECT_LOADS
#include "ck/tensor_operation/gpu/device/impl/device_gemm_xdl_cshuffle_lds_direct_load.hpp"
#else
#include "ck/tensor_operation/gpu/device/impl/device_gemm_xdl_cshuffle.hpp"
#endif
using F32 = float;
using ADataType = F32;
using BDataType = F32;
using AccDataType = F32;
using CShuffleDataType = F32;
using CDataType = F32;
using ALayout = Row;
using BLayout = Col;
using CLayout = Row;
using AElementOp = PassThrough;
using BElementOp = PassThrough;
using CElementOp = PassThrough;
static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpecialization::Default;
#if USING_DIRECT_LOADS
// clang-format off
using DeviceGemmInstance = ck::tensor_operation::device::DeviceGemm_Xdl_CShuffle_LdsDirectLoad
// ######| ALayout| BLayout| CLayout| AData| BData| CData| AccData| CShuffle| A| B| C| GEMM| NumGemmK| Block| MPer| NPer| KPer| AK1| BK1| MPer| NPer| MXdl| NXdl| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockLds| CShuffle| CShuffle| CBlockTransferClusterLengths| CBlockTransfer|
// ######| | | | Type| Type| Type| Type| DataType| Elementwise| Elementwise| Elementwise| Spacialization| Prefetch| Size| Block| Block| Block| | | XDL| XDL| Per| Per| ThreadCluster| SrcAccessOrder| SrcVectorDim| Scalar| AddExtraM| ThreadCluster| SrcAccessOrder| SrcVectorDim| Scalar| AddExtraN| MXdlPerWave| NXdlPerWave| _MBlock_MWaveMPerXdl| ScalarPerVector|
// ######| | | | | | | | | Operation| Operation| Operation| | Stage| | | | | | | | | Wave| Wave| Lengths_K0_M_K1| | | PerVector| | Lengths_K0_N_K1| | | PerVector| | PerShuffle| PerShuffle| _NBlock_NWaveNPerXdl| _NWaveNPerXdl|
// ######| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
< ALayout, BLayout, CLayout, ADataType, BDataType, CDataType, AccDataType, CShuffleDataType, AElementOp, BElementOp, CElementOp, GemmDefault, 1, 256, 128, 128, 32, 8, 8, 32, 32, 2, 2, S<4, 8, 8>, S<1, 0, 2>, 2, 1, 1, S<4, 8, 8>, S<1, 0, 2>, 2, 1, 1, 1, 1, S<1, 8, 1, 8>, 4>;
// clang-format on
#else
// clang-format off
using DeviceGemmInstance = ck::tensor_operation::device::DeviceGemm_Xdl_CShuffle
// ######| ALayout| BLayout| CLayout| AData| BData| CData| AccData| CShuffle| A| B| C| GEMM| NumGemmK| Block| MPer| NPer| KPer| AK1| BK1| MPer| NPer| MXdl| NXdl| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds| BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| BBlockLds| CShuffle| CShuffle| CBlockTransferClusterLengths| CBlockTransfer|
// ######| | | | Type| Type| Type| Type| DataType| Elementwise| Elementwise| Elementwise| Spacialization| Prefetch| Size| Block| Block| Block| | | XDL| XDL| Per| Per| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN| MXdlPerWave| NXdlPerWave| _MBlock_MWaveMPerXdl| ScalarPerVector|
// ######| | | | | | | | | Operation| Operation| Operation| | Stage| | | | | | | | | Wave| Wave| Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| | PerShuffle| PerShuffle| _NBlock_NWaveNPerXdl| _NWaveNPerXdl|
// ######| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
< ALayout, BLayout, CLayout, ADataType, BDataType, CDataType, AccDataType, CShuffleDataType, AElementOp, BElementOp, CElementOp, GemmDefault, 1, 256, 128, 128, 32, 8, 8, 32, 32, 2, 2, S<4, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, S<4, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, 1, 1, S<1, 8, 1, 8>, 4>;
// clang-format on
#endif
using ReferenceGemmInstance = ck::tensor_operation::host::
ReferenceGemm<ADataType, BDataType, CDataType, AccDataType, AElementOp, BElementOp, CElementOp>;
#include "run_gemm_example.inc"
int main(int argc, char* argv[]) { return !run_gemm_example(argc, argv); }
example/04_gemm_add_add_fastgelu/CMakeLists.txt
View file @ 057140b1
...@@ -22,3 +22,15 @@ foreach(gpu IN LISTS GPU_TARGETS) ...@@ -22,3 +22,15 @@ foreach(gpu IN LISTS GPU_TARGETS)
set(target 1) set(target 1)
endif() endif()
endforeach() endforeach()
set(gpu_list "")
list(APPEND gpu_list gfx90a gfx940 gfx941 gfx942)
set(target 0)
foreach(gpu IN LISTS GPU_TARGETS)
if(gpu IN_LIST gpu_list AND target EQUAL 0)
add_example_executable(example_gemm_add_add_fastgelu_xdl_lds_direct_load_fp32 gemm_add_add_fastgelu_xdl_lds_direct_load_fp32.cpp)
add_example_dependencies(example_gemm_add_add_fastgelu_xdl example_gemm_add_add_fastgelu_xdl_lds_direct_load_fp32)
set(target 1)
endif()
endforeach()
\ No newline at end of file
example/04_gemm_add_add_fastgelu/gemm_add_add_fastgelu_xdl_lds_direct_load_fp32.cpp 0 → 100644
View file @ 057140b1
// SPDX-License-Identifier: MIT
// Copyright (c) 2023, Advanced Micro Devices, Inc. All rights reserved.
#include "common.hpp"
#include "ck/tensor_operation/gpu/device/impl/device_gemm_multiple_d_xdl_cshuffle_lds_direct_load.hpp"
using ADataType = F32;
using BDataType = F32;
using AccDataType = F32;
using CShuffleDataType = F32;
using CDataType = F32; // C matrix doesn't exsit in GPU memory, this is used for host verification
using D0DataType = F32;
using D1DataType = F32;
using DsDataType = ck::Tuple<D0DataType, D1DataType>;
using EDataType = F32;
using ALayout = Row;
using BLayout = Col;
using D0Layout = Row;
using D1Layout = Row;
using DsLayout = ck::Tuple<D0Layout, D1Layout>;
using ELayout = Row;
using AElementOp = PassThrough;
using BElementOp = PassThrough;
using CDEElementOp = AddAddFastGelu;
static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpecialization::Default;
// clang-format off
using DeviceOpInstance = ck::tensor_operation::device::DeviceGemmMultipleD_Xdl_CShuffle_LdsDirectLoad
//######| ALayout| BLayout| DsLayout| ELayout| AData| BData| AccData| CShuffle| DsData| EData| A| B| CDE| GEMM| NumGemmK| Block| MPer| NPer| KPer| AK1| BK1| MPer| NPer| MXdl| NXdl| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockLds| CShuffle| CShuffle| CBlockTransferClusterLengths| CBlockTransfer|
//######| | | | | Type| Type| Type| DataType| Type| Type| Elementwise| Elementwise| Elementwise| Spacialization| Prefetch| Size| Block| Block| Block| | | XDL| XDL| Per| Per| ThreadCluster| SrcAccessOrder| SrcVectorDim| Scalar| AddExtraM| ThreadCluster| SrcAccessOrder| SrcVectorDim| Scalar| AddExtraN| MXdlPerWave| NXdlPerWave| _MBlock_MWaveMPerXdl| ScalarPerVector|
//######| | | | | | | | | | | Operation| Operation| Operation| | Stage| | | | | | | | | Wave| Wave| Lengths_K0_M_K1| | | PerVector| | Lengths_K0_N_K1| | | PerVector| | PerShuffle| PerShuffle| _NBlock_NWaveNPerXdl| _NWaveNPerXdl|
//######| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
< ALayout, BLayout, DsLayout, ELayout, ADataType, BDataType, AccDataType, CShuffleDataType, DsDataType, EDataType, AElementOp, BElementOp, CDEElementOp, GemmDefault, 1, 64, 64, 64, 64, 8, 8, 32, 32, 2, 2, S<1, 8, 8>, S<1, 0, 2>, 2, 1, 1, S<1, 8, 8>, S<1, 0, 2>, 2, 1, 1, 1, 1, S<1, 8, 1, 8>, 4>;
// clang-format on
using ReferenceGemmInstance = ck::tensor_operation::host::ReferenceGemm<ADataType,
BDataType,
CDataType,
AccDataType,
AElementOp,
BElementOp,
PassThrough>;
#include "run_gemm_add_add_fastgelu_example.inc"
int main(int argc, char* argv[]) { return !run_gemm_add_add_fastgelu_example(argc, argv); }
example/04_gemm_add_add_fastgelu/run_gemm_add_add_fastgelu_example.inc
View file @ 057140b1
...@@ -105,7 +105,8 @@ bool run_gemm_add_add_fastgelu(const ProblemSize& problem_size, const ExecutionC ...@@ -105,7 +105,8 @@ bool run_gemm_add_add_fastgelu(const ProblemSize& problem_size, const ExecutionC
if(!device_op.IsSupportedArgument(argument)) if(!device_op.IsSupportedArgument(argument))
{ {
throw std::runtime_error("wrong! this device_op instance does not support this problem"); std::cerr << device_op.GetTypeString() << " does not support this problem" << std::endl;
return true;
} }
float ave_time = invoker.Run(argument, StreamConfig{nullptr, config.time_kernel}); float ave_time = invoker.Run(argument, StreamConfig{nullptr, config.time_kernel});
......
example/15_grouped_gemm/grouped_gemm_xdl_fixed_nk_fp16.cpp
View file @ 057140b1
...@@ -299,8 +299,8 @@ int main(int argc, char* argv[]) ...@@ -299,8 +299,8 @@ int main(int argc, char* argv[])
for(int i = 0; i < problem_size.group_count; i++) for(int i = 0; i < problem_size.group_count; i++)
{ {
problem_size.Ms.push_back(256 + 256 * i); problem_size.Ms.push_back(256 + 256 * i);
problem_size.Ns.push_back(128 + 128 * i); problem_size.Ns.push_back(256);
problem_size.Ks.push_back(128 + 64 * i); problem_size.Ks.push_back(128);
problem_size.stride_As.push_back(problem_size.Ks[i]); problem_size.stride_As.push_back(problem_size.Ks[i]);
problem_size.stride_Bs.push_back(problem_size.Ks[i]); problem_size.stride_Bs.push_back(problem_size.Ks[i]);
......
example/15_grouped_gemm/grouped_gemm_xdl_fixed_nk_fp8.cpp
View file @ 057140b1
...@@ -300,8 +300,8 @@ int main(int argc, char* argv[]) ...@@ -300,8 +300,8 @@ int main(int argc, char* argv[])
for(int i = 0; i < problem_size.group_count; i++) for(int i = 0; i < problem_size.group_count; i++)
{ {
problem_size.Ms.push_back(256 + 256 * i); problem_size.Ms.push_back(256 + 256 * i);
problem_size.Ns.push_back(128 + 128 * i); problem_size.Ns.push_back(256);
problem_size.Ks.push_back(128 + 64 * i); problem_size.Ks.push_back(128);
problem_size.stride_As.push_back(problem_size.Ks[i]); problem_size.stride_As.push_back(problem_size.Ks[i]);
problem_size.stride_Bs.push_back(problem_size.Ks[i]); problem_size.stride_Bs.push_back(problem_size.Ks[i]);
......
example/27_layernorm2d_fwd/run_layernorm_example.inc
View file @ 057140b1
...@@ -44,9 +44,9 @@ int run_layernorm2d_fwd_example() ...@@ -44,9 +44,9 @@ int run_layernorm2d_fwd_example()
{0, 1}, {0, 1},
std::vector<ck::index_t>{y.mDesc.GetStrides().begin(), y.mDesc.GetStrides().end()}, std::vector<ck::index_t>{y.mDesc.GetStrides().begin(), y.mDesc.GetStrides().end()},
std::vector<ck::index_t>{save_mean.mDesc.GetStrides().begin(), std::vector<ck::index_t>{save_mean.mDesc.GetStrides().begin(),
save_mean.mDesc.GetStrides().end()}, save_mean.mDesc.GetStrides().end()},
std::vector<ck::index_t>{save_mean.mDesc.GetStrides().begin(), std::vector<ck::index_t>{save_mean.mDesc.GetStrides().begin(),
save_mean.mDesc.GetStrides().end()}, save_mean.mDesc.GetStrides().end()},
{1}, {1},
1e-4, 1e-4,
x_dev.GetDeviceBuffer(), x_dev.GetDeviceBuffer(),
......
example/42_groupnorm_fwd/run_groupnorm_fwd_example.inc
View file @ 057140b1
...@@ -65,9 +65,9 @@ int run_groupnorm_fwd_example(int argc, char* argv[]) ...@@ -65,9 +65,9 @@ int run_groupnorm_fwd_example(int argc, char* argv[])
{0, 0, 0, C, 1}, {0, 0, 0, C, 1},
std::vector<ck::index_t>{y.mDesc.GetStrides().begin(), y.mDesc.GetStrides().end()}, std::vector<ck::index_t>{y.mDesc.GetStrides().begin(), y.mDesc.GetStrides().end()},
std::vector<ck::index_t>{save_mean.mDesc.GetStrides().begin(), std::vector<ck::index_t>{save_mean.mDesc.GetStrides().begin(),
save_mean.mDesc.GetStrides().end()}, save_mean.mDesc.GetStrides().end()},
std::vector<ck::index_t>{save_mean.mDesc.GetStrides().begin(), std::vector<ck::index_t>{save_mean.mDesc.GetStrides().begin(),
save_mean.mDesc.GetStrides().end()}, save_mean.mDesc.GetStrides().end()},
{1, 2, 4}, // reduction dimension: [H, W, C] {1, 2, 4}, // reduction dimension: [H, W, C]
1e-6, 1e-6,
x_dev.GetDeviceBuffer(), x_dev.GetDeviceBuffer(),
......
example/44_elementwise_permute/CMakeLists.txt
View file @ 057140b1
...@@ -5,4 +5,6 @@ add_example_executable(example_elementwise_permute_4D_fp16_row elementwise_permu ...@@ -5,4 +5,6 @@ add_example_executable(example_elementwise_permute_4D_fp16_row elementwise_permu
add_example_executable(example_elementwise_permute_4D_fp32_col elementwise_permute_4D_fp32_col.cpp) add_example_executable(example_elementwise_permute_4D_fp32_col elementwise_permute_4D_fp32_col.cpp)
add_example_executable(example_elementwise_permute_4D_fp16_col elementwise_permute_4D_fp16_col.cpp) add_example_executable(example_elementwise_permute_4D_fp16_col elementwise_permute_4D_fp16_col.cpp)
add_example_executable(example_elementwise_permute elementwise_permute.cpp) add_example_executable(example_elementwise_permute elementwise_permute.cpp)
add_example_executable(example_elementwise_permute_3d elementwise_permute_3d.cpp) if((NOT GPU_TARGETS MATCHES "gfx940") AND (NOT GPU_TARGETS MATCHES "gfx941") AND (NOT GPU_TARGETS MATCHES "gfx942"))
add_example_executable(example_elementwise_permute_3d elementwise_permute_3d.cpp)
endif()
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