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"tests/pipelines/test_pipelines_flax.py" did not exist on "eadf0e2555cfa19b033e02de53553f71ac33536f"
Commit df35f46d authored by Jun Liu's avatar Jun Liu
Browse files

Merge branch 'develop' into amd-develop

parents 9c0811f3 7733ae16
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Showing with 184 additions and 48 deletions
include/ck_tile/ops/layernorm2d/pipeline/block_layernorm2d_fwd_problem.hpp
View file @ df35f46d
......@@ -14,17 +14,21 @@ template <typename XDataType_,
typename YDataType_,
typename MeanDataType_,
typename InvStdDataType_,
typename BlockShape_>
typename BlockShape_,
bool kPadM_,
bool kPadN_>
struct BlockLayernorm2dFwdProblem
{
using XDataType = remove_cvref_t<XDataType_>;
using GammaDataType = remove_cvref_t<GammaDataType_>;
using BetaDataType = remove_cvref_t<BetaDataType_>;
using ComputeDataType = remove_cvref_t<ComputeDataType_>;
using YDataType = remove_cvref_t<YDataType_>;
using MeanDataType = remove_cvref_t<MeanDataType_>;
using InvStdDataType = remove_cvref_t<InvStdDataType_>;
using BlockShape = remove_cvref_t<BlockShape_>;
using XDataType = remove_cvref_t<XDataType_>;
using GammaDataType = remove_cvref_t<GammaDataType_>;
using BetaDataType = remove_cvref_t<BetaDataType_>;
using ComputeDataType = remove_cvref_t<ComputeDataType_>;
using YDataType = remove_cvref_t<YDataType_>;
using MeanDataType = remove_cvref_t<MeanDataType_>;
using InvStdDataType = remove_cvref_t<InvStdDataType_>;
using BlockShape = remove_cvref_t<BlockShape_>;
static constexpr bool kPadM = kPadM_;
static constexpr bool kPadN = kPadN_;
};
} // namespace ck_tile
library/src/tensor_operation_instance/gpu/CMakeLists.txt
View file @ df35f46d
......@@ -37,11 +37,7 @@ function(add_instance_library INSTANCE_NAME)
endforeach()
endif()
if(INSTANCES_ONLY)
set(INST_TARGETS ${DEFAULT_GPU_TARGETS})
else()
set(INST_TARGETS ${GPU_TARGETS})
endif()
set(INST_TARGETS ${SUPPORTED_GPU_TARGETS})
# Do not build DL instances if DL_KERNELS macro is not set
foreach(source IN LISTS ARGN)
......@@ -64,9 +60,9 @@ function(add_instance_library INSTANCE_NAME)
list(REMOVE_ITEM ARGN "${source}")
endif()
endforeach()
# Do not build mha instances if gfx94 targets are not on the target list
# Do not build mha instances if gfx94 or gfx90a targets are not on the target list
foreach(source IN LISTS ARGN)
if(NOT INST_TARGETS MATCHES "gfx94" AND source MATCHES "mha")
if(NOT INST_TARGETS MATCHES "gfx94" AND NOT INST_TARGETS MATCHES "gfx90a" AND source MATCHES "mha")
message("removing mha instance ${source} ")
list(REMOVE_ITEM ARGN "${source}")
endif()
......@@ -75,17 +71,13 @@ function(add_instance_library INSTANCE_NAME)
if(ARGN)
set(INST_OBJ)
foreach(source IN LISTS ARGN)
if(INSTANCES_ONLY)
set(INST_TARGETS ${DEFAULT_GPU_TARGETS})
else()
set(INST_TARGETS ${GPU_TARGETS})
endif()
set(INST_TARGETS ${SUPPORTED_GPU_TARGETS})
if(source MATCHES "_xdl")
list(REMOVE_ITEM INST_TARGETS gfx900 gfx906 gfx1030 gfx1100 gfx1101 gfx1102 gfx1103 gfx1200 gfx1201)
elseif(ARGN MATCHES "_wmma")
list(REMOVE_ITEM INST_TARGETS gfx900 gfx906 gfx908 gfx90a gfx940 gfx941 gfx942 gfx1030)
elseif(ARGN MATCHES "mha")
list(REMOVE_ITEM INST_TARGETS gfx900 gfx906 gfx908 gfx90a gfx1030 gfx1100 gfx1101 gfx1102 gfx1103 gfx1200 gfx1201)
list(REMOVE_ITEM INST_TARGETS gfx900 gfx906 gfx908 gfx1030 gfx1100 gfx1101 gfx1102 gfx1103 gfx1200 gfx1201)
endif()
set(offload_targets)
foreach(target IN LISTS INST_TARGETS)
......@@ -191,12 +183,7 @@ FOREACH(subdir_path ${dir_list})
set(add_inst 1)
endif()
if(INSTANCES_ONLY)
set(INST_TARGETS ${DEFAULT_GPU_TARGETS})
else()
set(INST_TARGETS ${GPU_TARGETS})
endif()
set(INST_TARGETS ${SUPPORTED_GPU_TARGETS})
if(("${cmake_instance}" MATCHES "quantization") AND (DEFINED DTYPES) AND (NOT DTYPES MATCHES "int8"))
message("quantization instances will not be built!")
......@@ -320,8 +307,7 @@ if(CK_DEVICE_CONV_INSTANCES)
endif()
if(CK_DEVICE_MHA_INSTANCES)
set(gpu_list ${INST_TARGETS})
list(FILTER gpu_list INCLUDE REGEX "^gfx94")
if(gpu_list)
if(gpu_list MATCHES "gfx94" OR gpu_list MATCHES "gfx90a")
add_library(device_mha_operations STATIC ${CK_DEVICE_MHA_INSTANCES})
add_library(composablekernels::device_mha_operations ALIAS device_mha_operations)
target_compile_features(device_mha_operations PUBLIC)
......
profiler/src/CMakeLists.txt
View file @ df35f46d
......@@ -24,7 +24,7 @@ set(PROFILER_SOURCES
profile_permute_scale.cpp
)
if(GPU_TARGETS MATCHES "gfx9")
if(SUPPORTED_GPU_TARGETS MATCHES "gfx9")
if(DTYPES MATCHES "fp32" OR DTYPES MATCHES "fp64" OR NOT DEFINED DTYPES)
list(APPEND PROFILER_SOURCES profile_contraction_bilinear.cpp)
list(APPEND PROFILER_SOURCES profile_contraction_scale.cpp)
......@@ -49,7 +49,7 @@ if(GPU_TARGETS MATCHES "gfx9")
list(APPEND PROFILER_SOURCES profile_grouped_gemm_multiply_tile_loop.cpp)
endif()
list(APPEND PROFILER_SOURCES profile_gemm_multiply_add.cpp)
if(GPU_TARGETS MATCHES "gfx94")
if(SUPPORTED_GPU_TARGETS MATCHES "gfx94")
list(APPEND PROFILER_SOURCES profile_gemm_multiply_multiply.cpp)
list(APPEND PROFILER_SOURCES profile_gemm_ab_scale.cpp)
endif()
......@@ -69,7 +69,7 @@ if(GPU_TARGETS MATCHES "gfx9")
endif()
if(GPU_TARGETS MATCHES "gfx11" OR GPU_TARGETS MATCHES "gfx12" OR GPU_TARGETS MATCHES "gfx9")
if(SUPPORTED_GPU_TARGETS MATCHES "gfx11" OR SUPPORTED_GPU_TARGETS MATCHES "gfx12" OR SUPPORTED_GPU_TARGETS MATCHES "gfx9")
if(DTYPES MATCHES "fp16" OR NOT DEFINED DTYPES)
list(APPEND PROFILER_SOURCES profile_gemm_bilinear.cpp)
endif()
......@@ -111,7 +111,7 @@ target_link_libraries(${PROFILER_EXECUTABLE} PRIVATE device_column_to_image_inst
target_link_libraries(${PROFILER_EXECUTABLE} PRIVATE device_transpose_instance)
target_link_libraries(${PROFILER_EXECUTABLE} PRIVATE device_permute_scale_instance)
if(GPU_TARGETS MATCHES "gfx9")
if(SUPPORTED_GPU_TARGETS MATCHES "gfx9")
if(DTYPES MATCHES "fp32" OR DTYPES MATCHES "fp64" OR NOT DEFINED DTYPES)
target_link_libraries(${PROFILER_EXECUTABLE} PRIVATE device_contraction_bilinear_instance)
target_link_libraries(${PROFILER_EXECUTABLE} PRIVATE device_contraction_scale_instance)
......@@ -135,7 +135,7 @@ if(GPU_TARGETS MATCHES "gfx9")
target_link_libraries(${PROFILER_EXECUTABLE} PRIVATE device_batched_gemm_instance)
target_link_libraries(${PROFILER_EXECUTABLE} PRIVATE device_batched_gemm_reduce_instance)
target_link_libraries(${PROFILER_EXECUTABLE} PRIVATE device_gemm_multiply_add_instance)
if(GPU_TARGETS MATCHES "gfx94")
if(SUPPORTED_GPU_TARGETS MATCHES "gfx94")
target_link_libraries(${PROFILER_EXECUTABLE} PRIVATE device_gemm_multiply_multiply_instance)
target_link_libraries(${PROFILER_EXECUTABLE} PRIVATE device_gemm_ab_scale_instance)
endif()
......@@ -159,7 +159,7 @@ if(GPU_TARGETS MATCHES "gfx9")
target_link_libraries(${PROFILER_EXECUTABLE} PRIVATE device_grouped_conv3d_fwd_convinvscale_instance)
endif()
if(GPU_TARGETS MATCHES "gfx9" OR GPU_TARGETS MATCHES "gfx11" OR GPU_TARGETS MATCHES "gfx12")
if(SUPPORTED_GPU_TARGETS MATCHES "gfx9" OR SUPPORTED_GPU_TARGETS MATCHES "gfx11" OR SUPPORTED_GPU_TARGETS MATCHES "gfx12")
if(DTYPES MATCHES "fp16" OR NOT DEFINED DTYPES)
target_link_libraries(${PROFILER_EXECUTABLE} PRIVATE device_gemm_bilinear_instance)
endif()
......
script/cmake-ck-dev.sh
View file @ df35f46d
......@@ -7,8 +7,10 @@ MY_PROJECT_SOURCE=$1
if [ $# -ge 2 ] ; then
GPU_TARGETS=$2
REST_ARGS=${@:3}
else
GPU_TARGETS="gfx908;gfx90a;gfx940"
REST_ARGS=
fi
cmake \
......@@ -20,4 +22,5 @@ cmake
-D GPU_TARGETS=$GPU_TARGETS \
-D CMAKE_VERBOSE_MAKEFILE:BOOL=ON \
-D USE_BITINT_EXTENSION_INT4=OFF \
$REST_ARGS \
${MY_PROJECT_SOURCE}
script/cmake-ck-release.sh
View file @ df35f46d
......@@ -7,8 +7,10 @@ MY_PROJECT_SOURCE=$1
if [ $# -ge 2 ] ; then
GPU_TARGETS=$2
REST_ARGS=${@:3}
else
GPU_TARGETS="gfx908;gfx90a;gfx940"
REST_ARGS=
fi
cmake \
......@@ -20,5 +22,6 @@ cmake
-D GPU_TARGETS=$GPU_TARGETS \
-D CMAKE_VERBOSE_MAKEFILE:BOOL=ON \
-D USE_BITINT_EXTENSION_INT4=OFF \
$REST_ARGS \
${MY_PROJECT_SOURCE}
test/CMakeLists.txt
View file @ df35f46d
......@@ -41,11 +41,7 @@ function(add_test_executable TEST_NAME)
endforeach()
endif()
if(INSTANCES_ONLY)
set(TEST_TARGETS ${DEFAULT_GPU_TARGETS})
else()
set(TEST_TARGETS ${GPU_TARGETS})
endif()
set(TEST_TARGETS ${SUPPORTED_GPU_TARGETS})
foreach(source IN LISTS ARGN)
if(NOT DEFINED DL_KERNELS AND source MATCHES "_dl")
......@@ -122,11 +118,7 @@ function(add_gtest_executable TEST_NAME)
endforeach()
endif()
if(INSTANCES_ONLY)
set(TEST_TARGETS ${DEFAULT_GPU_TARGETS})
else()
set(TEST_TARGETS ${GPU_TARGETS})
endif()
set(TEST_TARGETS ${SUPPORTED_GPU_TARGETS})
foreach(source IN LISTS ARGN)
if(NOT DEFINED DL_KERNELS AND source MATCHES "_dl")
......@@ -173,6 +165,7 @@ function(add_gtest_executable TEST_NAME)
endfunction()
add_compile_options(-Wno-c++20-extensions)
add_subdirectory(ck_tile)
add_subdirectory(magic_number_division)
add_subdirectory(space_filling_curve)
add_subdirectory(conv_util)
......@@ -210,10 +203,10 @@ add_subdirectory(conv_tensor_rearrange)
add_subdirectory(transpose)
add_subdirectory(permute_scale)
add_subdirectory(wrapper)
if(GPU_TARGETS MATCHES "gfx11")
if(SUPPORTED_GPU_TARGETS MATCHES "gfx11")
add_subdirectory(wmma_op)
endif()
if(GPU_TARGETS MATCHES "gfx942" AND CK_HIP_VERSION_MAJOR GREATER_EQUAL 6 AND CK_HIP_VERSION_MINOR GREATER_EQUAL 2) # smfmac needs ROCm6.2
if(SUPPORTED_GPU_TARGETS MATCHES "gfx942" AND CK_HIP_VERSION_MAJOR GREATER_EQUAL 6 AND CK_HIP_VERSION_MINOR GREATER_EQUAL 2) # smfmac needs ROCm6.2
add_subdirectory(smfmac_op)
endif()
add_subdirectory(position_embedding)
test/ck_tile/CMakeLists.txt 0 → 100644
View file @ df35f46d
add_subdirectory(image_to_column)
test/ck_tile/image_to_column/CMakeLists.txt 0 → 100644
View file @ df35f46d
# Currently ck_tile is only built on gfx9
if(GPU_TARGETS MATCHES "gfx9")
add_gtest_executable(test_tile_image_to_column test_tile_image_to_column.cpp)
endif()
test/ck_tile/image_to_column/test_tile_image_to_column.cpp 0 → 100644
View file @ df35f46d
// SPDX-License-Identifier: MIT
// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
#include <algorithm>
#include <gtest/gtest.h>
#include "ck_tile/host.hpp"
#include "ck_tile/core.hpp"
#include "ck_tile/host/kernel_launch.hpp"
#include "ck_tile/ops/image_to_column.hpp"
// Host API implementation
template <typename DataType>
class TestCkTileImageToColumn : public ::testing::Test
{
static constexpr ck_tile::index_t VectorSize = 1;
static constexpr ck_tile::index_t NDimSpatial = 2;
protected:
void Run(const ck_tile::conv::ConvParam conv_params)
{
using ImLayout = ck_tile::tensor_layout::convolution::NHWGC;
const auto G = conv_params.G_;
const auto N = conv_params.N_;
const auto C = conv_params.C_;
const ck_tile::long_index_t NDoHoWo =
N * std::accumulate(conv_params.output_spatial_lengths_.begin(),
std::next(conv_params.output_spatial_lengths_.begin(), NDimSpatial),
1,
std::multiplies<>());
const ck_tile::long_index_t CZYX =
C * std::accumulate(conv_params.filter_spatial_lengths_.begin(),
std::next(conv_params.filter_spatial_lengths_.begin(), NDimSpatial),
1,
std::multiplies<>());
const auto in_desc =
ck_tile::conv::make_input_host_tensor_descriptor_g_n_c_wis_packed<ImLayout>(
conv_params);
const auto out_desc = ck_tile::HostTensorDescriptor({G, NDoHoWo, CZYX});
// host verify
ck_tile::HostTensor<DataType> in(in_desc);
ck_tile::HostTensor<DataType> out_device(out_desc);
ck_tile::HostTensor<DataType> out_host(out_desc);
std::cout << "input: " << in.mDesc << std::endl;
std::cout << "output: " << out_device.mDesc << std::endl;
ck_tile::FillUniformDistributionIntegerValue<DataType>{-5.f, 5.f}(in);
ck_tile::DeviceMem in_device_buf(in.get_element_space_size_in_bytes());
ck_tile::DeviceMem out_device_buf(out_device.get_element_space_size_in_bytes());
in_device_buf.ToDevice(in.data());
using thread_tile = ck_tile::sequence<4, 4>;
using warp_tile = ck_tile::sequence<8, 128>;
using block_tile = ck_tile::sequence<32, 128>;
using Shape = ck_tile::TileImageToColumnShape<thread_tile, warp_tile, block_tile>;
using PipelineProblem = ck_tile::BlockImageToColumnProblem<DataType,
DataType,
Shape,
NDimSpatial,
VectorSize,
VectorSize>;
using Kernel = ck_tile::ImageToColumn<PipelineProblem>;
auto kargs = Kernel::MakeKargs(
in_device_buf.GetDeviceBuffer(),
out_device_buf.GetDeviceBuffer(),
G,
N,
C,
ck_tile::to_array<ck_tile::long_index_t, NDimSpatial>(
conv_params.input_spatial_lengths_),
ck_tile::to_array<ck_tile::long_index_t, NDimSpatial>(
conv_params.filter_spatial_lengths_),
ck_tile::to_array<ck_tile::long_index_t, NDimSpatial>(
conv_params.output_spatial_lengths_),
ck_tile::to_array<ck_tile::long_index_t, NDimSpatial + 3>(in_desc.get_strides()),
ck_tile::to_array<ck_tile::long_index_t, 3>(out_desc.get_strides()),
ck_tile::to_array<ck_tile::long_index_t, NDimSpatial>(conv_params.conv_filter_strides_),
ck_tile::to_array<ck_tile::long_index_t, NDimSpatial>(
conv_params.conv_filter_dilations_),
ck_tile::to_array<ck_tile::long_index_t, NDimSpatial>(conv_params.input_left_pads_),
ck_tile::to_array<ck_tile::long_index_t, NDimSpatial>(conv_params.input_right_pads_));
const dim3 grids = Kernel::GridSize(
kargs.N * kargs.output_spatial_lengths[0] * kargs.output_spatial_lengths[1],
kargs.filter_spatial_lengths[0] * kargs.filter_spatial_lengths[1] * kargs.C,
kargs.G);
constexpr dim3 blocks = Kernel::BlockSize();
constexpr ck_tile::index_t kBlockPerCu = 2;
ck_tile::launch_kernel(
ck_tile::stream_config{},
ck_tile::make_kernel<blocks.x, kBlockPerCu>(Kernel{}, grids, blocks, 0, kargs));
// reference
ck_tile::reference_im2col<DataType, DataType, NDimSpatial>(in, out_host, conv_params);
out_device_buf.FromDevice(out_device.data());
bool pass = ck_tile::check_err(out_device, out_host);
EXPECT_TRUE(pass);
}
};
class TestCkTileImageToColumnFloat : public TestCkTileImageToColumn<float>
{
};
class TestCkTileImageToColumnHalf : public TestCkTileImageToColumn<ck_tile::half_t>
{
};
TEST_F(TestCkTileImageToColumnFloat, TestCorrectness)
{
this->Run({2, 2, 4, 1, 192, {3, 3}, {28, 28}, {1, 1}, {1, 1}, {1, 1}, {1, 1}});
this->Run({2, 2, 64, 1, 64, {3, 3}, {14, 14}, {1, 1}, {1, 1}, {1, 1}, {1, 1}});
this->Run({2, 1, 64, 1, 64, {1, 1}, {7, 7}, {3, 3}, {1, 1}, {0, 0}, {0, 0}});
this->Run({2, 1, 64, 1, 64, {1, 1}, {3, 3}, {1, 1}, {1, 1}, {0, 0}, {0, 0}});
this->Run({2, 2, 64, 1, 64, {3, 3}, {28, 28}, {2, 2}, {2, 2}, {1, 1}, {1, 1}});
}
TEST_F(TestCkTileImageToColumnHalf, TestCorrectness)
{
this->Run({2, 2, 4, 1, 192, {3, 3}, {28, 28}, {1, 1}, {1, 1}, {1, 1}, {1, 1}});
this->Run({2, 2, 64, 1, 64, {3, 3}, {14, 14}, {1, 1}, {1, 1}, {1, 1}, {1, 1}});
this->Run({2, 1, 64, 1, 64, {1, 1}, {7, 7}, {3, 3}, {1, 1}, {0, 0}, {0, 0}});
this->Run({2, 1, 64, 1, 64, {1, 1}, {3, 3}, {1, 1}, {1, 1}, {0, 0}, {0, 0}});
this->Run({2, 2, 64, 1, 64, {3, 3}, {28, 28}, {2, 2}, {2, 2}, {1, 1}, {1, 1}});
}
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