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Commit 23dd6a1f authored by Mirza Halilcevic's avatar Mirza Halilcevic
Browse files

Introduce ck_host library and gemm_softmax_gemm.

parent 11b7a4db
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Showing with 731 additions and 40 deletions
CMakeLists.txt
View file @ 23dd6a1f
......@@ -128,6 +128,8 @@ list(APPEND CMAKE_PREFIX_PATH ${CMAKE_INSTALL_PREFIX} ${CMAKE_INSTALL_PREFIX}/ll
message("GPU_TARGETS= ${GPU_TARGETS}")
option(CK_BUILD_HOST_LIB, "Only build the CK JIT Helper Library" OFF)
find_package(hip)
# No assumption that HIP kernels are launched with uniform block size for backward compatibility
# SWDEV-413293 and https://reviews.llvm.org/D155213
......@@ -254,6 +256,7 @@ elseif(CK_PARALLEL_COMPILE_JOBS)
message(WARNING "Job pooling is only available with Ninja generators.")
endif()
if (NOT CK_BUILD_HOST_LIB)
option(USE_BITINT_EXTENSION_INT4 "Whether to enable clang's BitInt extension to provide int4 data type." OFF)
option(USE_OPT_GFX11 "Whether to enable LDS cumode and Wavefront32 mode for GFX11 silicons." OFF)
......@@ -275,6 +278,8 @@ set(THREADS_PREFER_PTHREAD_FLAG ON)
find_package(Threads REQUIRED)
link_libraries(Threads::Threads)
endif() # NOT CK_BUILD_HOST_LIB
## C++
set(CMAKE_CXX_STANDARD 17)
set(CMAKE_CXX_STANDARD_REQUIRED ON)
......@@ -291,6 +296,8 @@ if(USE_GLIBCXX_ASSERTIONS)
add_compile_options(-Wp,-D_GLIBCXX_ASSERTIONS)
endif()
if (NOT CK_BUILD_HOST_LIB)
## HIP
set(CMAKE_HIP_PLATFORM amd)
set(CMAKE_HIP_COMPILER ${CMAKE_CXX_COMPILER})
......@@ -346,6 +353,8 @@ else()
add_compile_definitions(__HIP_PLATFORM_HCC__=1)
endif()
endif() # NOT CK_BUILD_HOST_LIB
## tidy
include(EnableCompilerWarnings)
set(CK_TIDY_ERRORS ERRORS * -readability-inconsistent-declaration-parameter-name)
......@@ -499,6 +508,8 @@ include_directories(BEFORE
${HIP_INCLUDE_DIRS}
)
if (NOT CK_BUILD_HOST_LIB)
SET(BUILD_DEV ON CACHE BOOL "BUILD_DEV")
if(BUILD_DEV)
add_compile_options(-Werror)
......@@ -506,6 +517,8 @@ if(BUILD_DEV)
endif()
message("CMAKE_CXX_FLAGS: ${CMAKE_CXX_FLAGS}")
endif() # NOT CK_BUILD_HOST_LIB
if("${CMAKE_CXX_COMPILER_ID}" MATCHES "Clang")
add_compile_options(-fcolor-diagnostics)
endif()
......@@ -515,6 +528,8 @@ endif()
add_custom_target(check COMMAND ${CMAKE_CTEST_COMMAND} --output-on-failure -C ${CMAKE_CFG_INTDIR})
if (NOT CK_BUILD_HOST_LIB)
file(GLOB_RECURSE INSTANCE_FILES "${PROJECT_SOURCE_DIR}/*/device_*_instance.cpp")
file(GLOB dir_list RELATIVE ${PROJECT_SOURCE_DIR}/library/src/tensor_operation_instance/gpu ${PROJECT_SOURCE_DIR}/library/src/tensor_operation_instance/gpu/*)
set(CK_DEVICE_INSTANCES)
......@@ -590,6 +605,18 @@ if(NOT DEFINED PROFILER_ONLY AND (GPU_TARGETS MATCHES "gfx9" OR DEFINED INSTANCE
add_subdirectory(codegen)
endif()
else() # NOT CK_BUILD_HOST_LIB
if(GPU_TARGETS MATCHES "gfx9")
rocm_package_setup_component(ck_host
LIBRARY_NAME composablekernel
PACKAGE_NAME ck_host
)
add_subdirectory(codegen)
endif()
endif() # NOT CK_BUILD_HOST_LIB
#Create an interface target for the include only files and call it "composablekernels"
include(CMakePackageConfigHelpers)
......
Config.cmake.in
View file @ 23dd6a1f
@PACKAGE_INIT@
set(_composable_kernel_supported_components device_other_operations device_gemm_operations device_conv_operations device_mha_operations device_contraction_operations device_reduction_operations utility)
set(_composable_kernel_supported_components device_other_operations device_gemm_operations device_conv_operations device_mha_operations device_contraction_operations device_reduction_operations utility ck_host)
foreach(_comp ${composable_kernel_FIND_COMPONENTS})
if(NOT _comp IN_LIST _composable_kernel_supported_components)
......
codegen/CMakeLists.txt
View file @ 23dd6a1f
......@@ -31,12 +31,21 @@ file(GLOB SOURCES CONFIGURE_DEPENDS src/*.cpp)
##message(STATUS "SOURCE_FILES: ${SOURCES}")
# TODO: Use object library
add_library(ck_host STATIC ${SOURCES})
target_link_libraries(ck_host PRIVATE ck_headers)
add_library(composable_kernel::ck_host ALIAS ck_host)
set_target_properties(ck_host PROPERTIES
LINKER_LANGUAGE CXX
POSITION_INDEPENDENT_CODE ON)
target_include_directories(ck_host SYSTEM PRIVATE
$<BUILD_INTERFACE:${CMAKE_CURRENT_SOURCE_DIR}/include>
# $<BUILD_INTERFACE:${PROJECT_SOURCE_DIR}/library/src/jit_library/solution_instances>
$<BUILD_INTERFACE:${CMAKE_CURRENT_BINARY_DIR}/solution_instances>
$<BUILD_INTERFACE:${CMAKE_CURRENT_BINARY_DIR}/embed/ck_headers/include>
)
target_link_libraries(ck_host PRIVATE $<BUILD_INTERFACE:ck_headers>)
target_include_directories(ck_host PUBLIC
$<BUILD_INTERFACE:${CMAKE_CURRENT_SOURCE_DIR}/include>
)
......@@ -45,9 +54,18 @@ add_executable(ck-template-driver driver/main.cpp)
target_link_libraries(ck-template-driver ck_host)
rocm_install(
TARGETS ck_host ck_headers
TARGETS ck_host
EXPORT ck_hostTargets
)
rocm_install(DIRECTORY include/ck DESTINATION ${CMAKE_INSTALL_INCLUDEDIR})
add_subdirectory(test)
rocm_install(
EXPORT ck_hostTargets
FILE composable_kernelck_hostTargets.cmake
NAMESPACE composable_kernel::
DESTINATION ${CMAKE_INSTALL_LIBDIR}/cmake/composable_kernel
)
if (NOT CK_BUILD_HOST_LIB)
add_subdirectory(test)
endif()
codegen/include/ck/host/device_batched_gemm_softmax_gemm/operation.hpp 0 → 100644
View file @ 23dd6a1f
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
#include <cstdlib>
#include <vector>
#include <string>
#include "ck/host/types.hpp"
#include "ck/host/operation/gemm.hpp"
#include "ck/host/device_batched_gemm_softmax_gemm/problem.hpp"
namespace ck {
namespace host {
namespace device_batched_gemm_softmax_gemm {
// defines all values need for an instance of fwd conv
struct Operation_Xdl_CShuffle
{
// returns a vector of instances, only given fusion operators: will use default problem spec
static std::vector<std::vector<Operation_Xdl_CShuffle>>
CreateOperations(const std::string& prologue, const std::string& epilogue);
// returns a vector of instances, given a problem spec and fusion operators
static std::vector<Operation_Xdl_CShuffle>
CreateOperations(const Problem& prob, const std::string& prologue, const std::string& epilogue);
TensorDesc A{};
TensorDesc B{};
TensorDesc B1{};
TensorDesc C{};
std::string a_elem_op = PassThrough;
std::string b_elem_op = PassThrough;
std::string b1_elem_op = PassThrough;
std::string c_elem_op = PassThrough;
std::string acc_elem_op = Scale;
std::string prologue = "";
std::string epilogue = "";
std::string gemm_specialization = "ck::tensor_operation::device::GemmSpecialization::Default";
// tuning parameters
operation::TileDescGemmSoftmaxGemm tile_desc{};
operation::BlockTransferDesc a_block_transfer{};
operation::BlockTransferDesc b0_block_transfer{};
operation::BlockTransferDesc b1_block_transfer{};
operation::CShuffleDesc cshuffle{};
operation::CBlockTransferDesc c_block_transfer{};
bool mask_out_upper_triangle = false;
// functions to update fusion operators if provided
void update_prologue(const std::string& prologue);
void update_epilogue(const std::string& epilogue);
/**constexpr**/ bool IsSupported(std::size_t MRaw_, std::size_t NRaw_, std::size_t KRaw_);
// returns a templated instance
Solution ToSolution() const;
};
} // namespace device_batched_gemm_softmax_gemm
} // namespace host
} // namespace ck
codegen/include/ck/host/device_batched_gemm_softmax_gemm/problem.hpp 0 → 100644
View file @ 23dd6a1f
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
#include <cstdlib>
#include <vector>
#include <string>
#include "ck/host/types.hpp"
namespace ck {
namespace host {
namespace device_batched_gemm_softmax_gemm {
// defines the problem specification for a GEMM operation
struct Problem
{
std::size_t M = 0;
std::size_t N = 0;
std::size_t K = 0;
std::size_t O = 0;
bool TransA = false;
bool TransB = false;
bool TransB1 = false;
bool TransC = false;
DataType ADataType = DataType::Half;
DataType BDataType = DataType::Half;
DataType B1DataType = DataType::Half;
DataType CDataType = DataType::Half;
std::string AElementOp = PassThrough;
std::string BElementOp = PassThrough;
std::string B1ElementOp = PassThrough;
std::string CElementOp = PassThrough;
std::string AccElementOp = Scale;
// returns the correct device op file for the operation
std::string GetIncludeHeader() const;
// returns a list of instances based on the problem spec and provided fusion operations
std::vector<Solution> GetSolutions(const std::string& arch,
const std::string& prologue,
const std::string& epilogue) const;
};
} // namespace device_batched_gemm_softmax_gemm
} // namespace host
} // namespace ck
codegen/include/ck/host/device_gemm_multiple_d/operation.hpp
View file @ 23dd6a1f
......@@ -41,6 +41,8 @@ struct Operation_Xdl_CShuffle
operation::BlockTransferDesc b_block_transfer{};
operation::CShuffleDesc cshuffle{};
operation::CBlockTransferDesc c_block_transfer{};
LoopScheduler loop_scheduler{};
PipelineVersion pipeline_version{};
// functions to update fusion operators if provided
void update_prologue(const std::string& prologue);
......
codegen/include/ck/host/operation/gemm.hpp
View file @ 23dd6a1f
......@@ -23,6 +23,26 @@ struct TileDesc
int n_Xdl_per_wave = 0;
int num_gemmk_prefetch_stage = 0;
};
struct TileDescGemmSoftmaxGemm
{
int block_size = 0;
int gemm01_m_per_block = 0;
int gemm0_n_per_block = 0;
int gemm0_k_per_block = 0;
int gemm1_n_per_block = 0;
int gemm1_k_per_block = 0;
int ak1 = 0;
int bk1 = 0;
int b1k1 = 0;
int m_per_XDL = 0;
int n_per_XDL = 0;
int gemm0_m_Xdl_per_wave = 0;
int gemm0_n_Xdl_per_wave = 0;
int gemm1_n_Xdl_per_wave = 0;
int num_gemmk_prefetch_stage = 0;
};
struct BlockTransferDesc
{
std::string thread_cluster_length = "";
......
codegen/include/ck/host/types.hpp
View file @ 23dd6a1f
......@@ -66,6 +66,20 @@ enum class GemmType
};
std::string ToString(GemmType gt);
enum class LoopScheduler
{
Default,
Interwave,
};
std::string ToString(LoopScheduler ls);
enum class PipelineVersion
{
v1,
v2
};
std::string ToString(PipelineVersion pv);
struct TensorDesc
{
DataType element;
......@@ -84,6 +98,7 @@ const std::string S = SequenceStr({xs...});
constexpr const char* PassThrough = "ck::tensor_operation::element_wise::PassThrough";
constexpr const char* Bilinear = "ck::tensor_operation::element_wise::Bilinear";
constexpr const char* Scale = "ck::tensor_operation::element_wise::Scale";
} // namespace host
} // namespace ck
codegen/src/device_batched_gemm_softmax_gemm.cpp 0 → 100644
View file @ 23dd6a1f
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
#include "ck/host/device_batched_gemm_softmax_gemm/problem.hpp"
#include "ck/host/device_batched_gemm_softmax_gemm/operation.hpp"
#include "ck/host/utils.hpp"
#include <algorithm>
namespace ck {
namespace host {
namespace device_batched_gemm_softmax_gemm {
// return the relevant device op file based on the operation
std::string Problem::GetIncludeHeader() const
{
return "ck/tensor_operation/gpu/device/impl/device_batched_gemm_softmax_gemm_xdl_cshuffle.hpp";
}
// returns templated instances when provided with a problem specification
std::vector<Solution> Problem::GetSolutions(const std::string& arch,
const std::string& prologue,
const std::string& epilogue) const
{
if(get_xdlop_archs().count(arch) == 0)
return {};
auto ops = ck::host::device_batched_gemm_softmax_gemm::Operation_Xdl_CShuffle::CreateOperations(
*this, prologue, epilogue); // obtains vector of instances
std::vector<Solution> result;
std::transform(ops.begin(), ops.end(), std::back_inserter(result), [&](const auto& op) {
return op.ToSolution(); // template instance with correct values
});
return result;
}
} // namespace device_batched_gemm_softmax_gemm
} // namespace host
} // namespace ck
codegen/src/device_gemm_multiple_d_operation_xdl_cshuffle.cpp
View file @ 23dd6a1f
......@@ -62,6 +62,13 @@ void Operation_Xdl_CShuffle::update_epilogue(const std::string& epi)
// accounts for all possible combinations of Row/Col major
static Layout ToLayout(bool Trans) { return Trans ? Layout::Column : Layout::Row; }
// DeviceGemmMultipleD_Xdl_CShuffle< Col, Row, Row_Row_Tuple, Row, F16, F16, F32, F32, F16_F16_Tuple, F16, PassThrough, PassThrough, AddAddFastGelu, GemmMNKPadding, 1, 64, 16, 16, 32, 8, 8, 16, 16, 1, 1, S<4, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 8, 1, S<4, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 8, 1, 1, 1, S<1, 16, 1, 4>, 1,
// DeviceGemmMultipleD_Xdl_CShuffle< Row, Col, Row_Row_Tuple, Row, F16, F16, F32, F32, F16_F16_Tuple, F16, PassThrough, PassThrough, AddAddFastGelu, GemmMNKPadding, 1, 64, 16, 16, 32, 8, 8, 16, 16, 1, 1, S<4, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 1, 8, 1, S<4, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 1, 8, 1, 1, 1, S<1, 16, 1, 4>, 1, LoopScheduler::Default, PipelineVersion::v1>
// Hard-code tuning parameters in modularized fashion, string them together into a vector of
// instances
std::vector<Operation_Xdl_CShuffle> Operation_Xdl_CShuffle::CreateOperations(
......@@ -83,6 +90,8 @@ std::vector<Operation_Xdl_CShuffle> Operation_Xdl_CShuffle::CreateOperations(
{ 128, 64, 128, 32, 8, 8, 32, 32, 2, 2, 1},
{ 256, 128, 64, 32, 8, 8, 32, 32, 2, 1, 1},
{ 256, 64, 128, 32, 8, 8, 32, 32, 1, 2, 1},
// Irregular tile
{ 64, 16, 16, 32, 8, 8, 16, 16, 1, 1, 1},
// clang-format on
};
......@@ -100,6 +109,8 @@ std::vector<Operation_Xdl_CShuffle> Operation_Xdl_CShuffle::CreateOperations(
{ S<4, 32, 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},
{ S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1},
// Irregular tile
{ S<4, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 1, 8, 1},
// clang-format on
};
......@@ -109,15 +120,17 @@ std::vector<Operation_Xdl_CShuffle> Operation_Xdl_CShuffle::CreateOperations(
// ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM|
// Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| |
// | | | | | | |
{ S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 8, 1},
{ S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1},
{ S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 8, 1},
{ S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1},
{ S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 8, 1},
{ S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1},
{ S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1},
{ S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 8, 1},
// Irregular tile
{ S<4, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 8, 1},
// clang-format on
{S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 8, 1},
{S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1},
{S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 8, 1},
{S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1},
{S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 8, 1},
{S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1},
{S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1},
{S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 8, 1},
};
std::vector<operation::BlockTransferDesc> b_block_descriptions_rowmajor = {
......@@ -134,6 +147,8 @@ std::vector<Operation_Xdl_CShuffle> Operation_Xdl_CShuffle::CreateOperations(
{ S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 8, 1},
{ S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 8, 1},
{ S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1},
// Irregular tile
{ S<4, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 8, 1},
// clang-format on
};
......@@ -151,6 +166,8 @@ std::vector<Operation_Xdl_CShuffle> Operation_Xdl_CShuffle::CreateOperations(
{ S<4, 32, 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},
{ S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1},
// Irregular tile
{ S<4, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 1, 8, 1},
// clang-format on
};
......@@ -167,6 +184,7 @@ std::vector<Operation_Xdl_CShuffle> Operation_Xdl_CShuffle::CreateOperations(
{ 1, 1},
{ 1, 1},
{ 1, 1},
{ 1, 1},
{ 1, 1},
// clang-format on
};
......@@ -185,6 +203,8 @@ std::vector<Operation_Xdl_CShuffle> Operation_Xdl_CShuffle::CreateOperations(
{ S<1, 16, 1, 8>, 8},
{ S<1, 32, 1, 8>, 8},
{ S<1, 32, 1, 8>, 8},
// Irregular tile
{ S<1, 16, 1, 4>, 1},
// clang-format on
};
......@@ -199,6 +219,14 @@ std::vector<Operation_Xdl_CShuffle> Operation_Xdl_CShuffle::CreateOperations(
assert(tile_descriptions.size() == cshuffle_descriptions.size());
assert(tile_descriptions.size() == c_block_descriptions.size());
const std::vector<std::tuple<LoopScheduler, PipelineVersion>> scheduler_pipeline_descriptions =
{
{LoopScheduler::Default, PipelineVersion::v1},
{LoopScheduler::Interwave, PipelineVersion::v1},
{LoopScheduler::Default, PipelineVersion::v2},
};
for(auto [loop_scheduler, pipeline_version] : scheduler_pipeline_descriptions)
{
// Put all values together into a single operation > store into the result vector
for(std::size_t i = 0; i < tile_descriptions.size(); i++)
{
......@@ -223,10 +251,13 @@ std::vector<Operation_Xdl_CShuffle> Operation_Xdl_CShuffle::CreateOperations(
x.tile_desc.m_per_block,
x.tile_desc.n_per_block,
x.tile_desc.k_per_block);
x.loop_scheduler = loop_scheduler;
x.pipeline_version = pipeline_version;
x.update_prologue(prologue);
x.update_epilogue(epilogue);
result.push_back(x);
}
}
return result;
}
......@@ -263,7 +294,7 @@ static const char* const DeviceGemmMultipleD_Xdl_CShuffleTemplate =
"${BBlockTransferSrcScalarPerVector}, ${BBlockTransferDstScalarPerVector_BK1}, "
"${BBlockLdsExtraN}, ${CShuffleMXdlPerWavePerShuffle}, ${CShuffleNXdlPerWavePerShuffle}, "
"${CDEBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock}, "
"${CDEBlockTransferScalarPerVector_NPerBlock}>";
"${CDEBlockTransferScalarPerVector_NPerBlock}, ${LoopScheduler}, ${PipelineVersion}>";
// use hardcoded instances from vector of operations to substitute values into instance template
Solution Operation_Xdl_CShuffle::ToSolution() const
......@@ -336,6 +367,8 @@ Solution Operation_Xdl_CShuffle::ToSolution() const
this->c_block_transfer.cluster_lengths_m_block_m_wave_m_per_Xdl_n_block_n_wave_n_per_Xdl},
{"CDEBlockTransferScalarPerVector_NPerBlock",
std::to_string(this->c_block_transfer.scalar_per_vector_n_wave_n_per_Xdl)},
{"LoopScheduler", ToString(this->loop_scheduler)},
{"PipelineVersion", ToString(this->pipeline_version)},
};
return Solution{InterpolateString(DeviceGemmMultipleD_Xdl_CShuffleTemplate, values),
......
codegen/src/types.cpp
View file @ 23dd6a1f
......@@ -56,6 +56,26 @@ std::string ToString(GemmType gt)
throw std::runtime_error("Incorrect gemm type");
}
std::string ToString(LoopScheduler ls)
{
switch(ls)
{
case LoopScheduler::Default: return "ck::LoopScheduler::Default";
case LoopScheduler::Interwave: return "ck::LoopScheduler::Interwave";
}
throw std::runtime_error("Incorrect LoopScheduler type");
}
std::string ToString(PipelineVersion pv)
{
switch(pv)
{
case PipelineVersion::v1: return "ck::PipelineVersion::v1";
case PipelineVersion::v2: return "ck::PipelineVersion::v2";
}
throw std::runtime_error("Incorrect PipelineVersion type");
}
std::string SequenceStr(const std::vector<int>& v)
{
return "ck::Sequence<" +
......
codegen/test/rtc/include/rtc/hip.hpp
View file @ 23dd6a1f
......@@ -4,6 +4,7 @@
#include <hip/hip_runtime_api.h>
#include <memory>
#include <string>
#include <stdexcept>
namespace rtc {
......
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