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Commit f537f83f authored by root's avatar root
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add multi_d

parent 3afb2f74
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Showing with 82 additions and 73 deletions
example/04_gemm_add_add_fastgelu/CMakeLists.txt
View file @ f537f83f
......@@ -2,6 +2,9 @@ add_custom_target(example_gemm_add_add_fastgelu_xdl)
add_example_executable(example_gemm_add_add_fastgelu_xdl_bf16 gemm_add_add_fastgelu_xdl_bf16.cpp)
add_example_dependencies(example_gemm_add_add_fastgelu_xdl example_gemm_add_add_fastgelu_xdl_bf16)
add_example_executable(example_gemm_add_add_fastgelu_xdl_bf16_int8 gemm_add_add_fastgelu_xdl_bf16_int8.cpp)
add_example_dependencies(example_gemm_add_add_fastgelu_xdl example_gemm_add_add_fastgelu_xdl_bf16_int8)
add_example_executable(example_gemm_add_add_fastgelu_xdl_fp16 gemm_add_add_fastgelu_xdl_fp16.cpp)
add_example_dependencies(example_gemm_add_add_fastgelu_xdl example_gemm_add_add_fastgelu_xdl_fp16)
......
include/ck/tensor_operation/gpu/device/impl/device_gemm_multiple_d_xdl_cshuffle_v3.hpp
View file @ f537f83f
......@@ -10,7 +10,7 @@
#include "ck/tensor_description/tensor_descriptor.hpp"
#include "ck/tensor_description/tensor_descriptor_helper.hpp"
#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
#include "ck/tensor_operation/gpu/device/device_gemm_multi_d.hpp"
#include "ck/tensor_operation/gpu/device/device_gemm_multiple_d.hpp"
#include "ck/tensor_operation/gpu/device/gemm_specialization.hpp"
#include "ck/tensor_operation/gpu/grid/gridwise_gemm_xdl_cshuffle_v3.hpp"
#include "ck/host_utility/device_prop.hpp"
......@@ -22,6 +22,7 @@ namespace device {
template <typename ALayout,
typename BLayout,
typename DsLayout,
typename CLayout,
typename ADataType,
typename BDataType,
......@@ -67,6 +68,7 @@ template <typename ALayout,
typename ComputeTypeB = ComputeTypeA>
struct DeviceGemmMultiD_Xdl_CShuffle_V3 : public DeviceGemmMultipleD<ALayout,
BLayout,
DsLayout,
CLayout,
ADataType,
BDataType,
......@@ -87,7 +89,7 @@ struct DeviceGemmMultiD_Xdl_CShuffle_V3 : public DeviceGemmMultipleD<ALayout,
BDataType,
GemmAccDataType,
CShuffleDataType,
Tuple<>,
DsDataType,
CDataType,
AElementwiseOperation,
BElementwiseOperation,
......@@ -425,6 +427,7 @@ struct DeviceGemmMultiD_Xdl_CShuffle_V3 : public DeviceGemmMultipleD<ALayout,
// Tail number could be Odd or Even
else if constexpr(BlkGemmPipelineVer == BlockGemmPipelineVersion::v4)
{
#if 0
if(arg.KBatch > 1)
{
if(GridwiseGemm::CalculateKBlockLoopTailNum(K_split) == TailNumber::Odd)
......@@ -449,6 +452,7 @@ struct DeviceGemmMultiD_Xdl_CShuffle_V3 : public DeviceGemmMultipleD<ALayout,
}
}
else
#endif
{
if(GridwiseGemm::CalculateKBlockLoopTailNum(K_split) == TailNumber::Odd)
{
......@@ -474,6 +478,7 @@ struct DeviceGemmMultiD_Xdl_CShuffle_V3 : public DeviceGemmMultipleD<ALayout,
}
else
{
#if 0
if(arg.KBatch > 1)
{
if(GridwiseGemm::CalculateKBlockLoopTailNum(K_split) == TailNumber::Odd)
......@@ -498,6 +503,7 @@ struct DeviceGemmMultiD_Xdl_CShuffle_V3 : public DeviceGemmMultipleD<ALayout,
}
}
else
#endif
{
if(GridwiseGemm::CalculateKBlockLoopTailNum(K_split) == TailNumber::Odd)
{
......@@ -527,6 +533,7 @@ struct DeviceGemmMultiD_Xdl_CShuffle_V3 : public DeviceGemmMultipleD<ALayout,
// Tail number always 1
if constexpr(BlkGemmPipelineVer == BlockGemmPipelineVersion::v1)
{
#if 0
if(arg.KBatch > 1)
{
const auto kernel =
......@@ -537,6 +544,7 @@ struct DeviceGemmMultiD_Xdl_CShuffle_V3 : public DeviceGemmMultipleD<ALayout,
Run(kernel);
}
else
#endif
{
const auto kernel =
kernel_gemm_xdl_cshuffle_v3<GridwiseGemm,
......@@ -589,10 +597,10 @@ struct DeviceGemmMultiD_Xdl_CShuffle_V3 : public DeviceGemmMultipleD<ALayout,
return IsSupportedArgument(*dynamic_cast<const Argument*>(p_arg));
}
static auto MakeArgument(const ADataType* p_a,
const BDataType* p_b,
static auto MakeArgument(const void* p_a,
const void* p_b,
std::array<const void*, NumDTensor> p_ds,
CDataType* p_c,
void* p_c,
index_t M,
index_t N,
index_t K,
......@@ -600,15 +608,14 @@ struct DeviceGemmMultiD_Xdl_CShuffle_V3 : public DeviceGemmMultipleD<ALayout,
index_t StrideB,
std::array<index_t, NumDTensor> StrideDs,
index_t StrideC,
index_t KBatch,
AElementwiseOperation a_element_op,
BElementwiseOperation b_element_op,
CElementwiseOperation c_element_op)
{
return Argument{p_a,
p_b,
return Argument{static_cast<const ADataType*>(p_a),
static_cast<const BDataType*>(p_b),
p_ds,
p_c,
static_cast<CDataType*>(p_c),
M,
N,
K,
......@@ -616,7 +623,7 @@ struct DeviceGemmMultiD_Xdl_CShuffle_V3 : public DeviceGemmMultipleD<ALayout,
StrideB,
StrideDs,
StrideC,
KBatch,
1,
a_element_op,
b_element_op,
c_element_op};
......@@ -636,7 +643,6 @@ struct DeviceGemmMultiD_Xdl_CShuffle_V3 : public DeviceGemmMultipleD<ALayout,
index_t StrideB,
std::array<ck::index_t, NumDTensor> StrideDs,
index_t StrideC,
index_t KBatch,
AElementwiseOperation a_element_op,
BElementwiseOperation b_element_op,
CElementwiseOperation c_element_op) override
......@@ -652,7 +658,7 @@ struct DeviceGemmMultiD_Xdl_CShuffle_V3 : public DeviceGemmMultipleD<ALayout,
StrideB,
StrideDs,
StrideC,
KBatch,
1,
a_element_op,
b_element_op,
c_element_op);
......
include/ck/tensor_operation/gpu/device/impl/device_gemm_xdl_cshuffle_v3.hpp
View file @ f537f83f
......@@ -25,7 +25,6 @@ template <typename ALayout,
typename CLayout,
typename ADataType,
typename BDataType,
typename DsDataType,
typename CDataType,
typename GemmAccDataType,
typename CShuffleDataType,
......@@ -70,14 +69,11 @@ struct DeviceGemm_Xdl_CShuffleV3 : public DeviceGemmV2<ALayout,
CLayout,
ADataType,
BDataType,
DsDataType,
CDataType,
AElementwiseOperation,
BElementwiseOperation,
CElementwiseOperation>
{
static constexpr index_t NumDTensor = DsDataType::Size();
// GridwiseGemm
using GridwiseGemm = GridwiseGemm_xdl_cshuffle_v3<
ALayout,
......@@ -589,16 +585,16 @@ struct DeviceGemm_Xdl_CShuffleV3 : public DeviceGemmV2<ALayout,
return IsSupportedArgument(*dynamic_cast<const Argument*>(p_arg));
}
using PassThrough = ck::tensor_operation::element_wise::PassThrough;
static auto MakeArgument(const ADataType* p_a,
const BDataType* p_b,
std::array<const void*, NumDTensor> p_ds,
CDataType* p_c,
index_t M,
index_t N,
index_t K,
index_t StrideA,
index_t StrideB,
std::array<index_t, NumDTensor> StrideDs,
index_t StrideC,
index_t KBatch,
AElementwiseOperation a_element_op,
......@@ -607,14 +603,14 @@ struct DeviceGemm_Xdl_CShuffleV3 : public DeviceGemmV2<ALayout,
{
return Argument{p_a,
p_b,
p_ds,
std::array<const void*, 0>{},
p_c,
M,
N,
K,
StrideA,
StrideB,
StrideDs,
std::array<index_t, 0>{},
StrideC,
KBatch,
a_element_op,
......@@ -627,14 +623,12 @@ struct DeviceGemm_Xdl_CShuffleV3 : public DeviceGemmV2<ALayout,
// polymorphic
std::unique_ptr<BaseArgument> MakeArgumentPointer(const void* p_a,
const void* p_b,
std::array<const void*, NumDTensor> p_ds,
void* p_c,
index_t M,
index_t N,
index_t K,
index_t StrideA,
index_t StrideB,
std::array<ck::index_t, NumDTensor> StrideDs,
index_t StrideC,
index_t KBatch,
AElementwiseOperation a_element_op,
......@@ -643,14 +637,14 @@ struct DeviceGemm_Xdl_CShuffleV3 : public DeviceGemmV2<ALayout,
{
return std::make_unique<Argument>(static_cast<const ADataType*>(p_a),
static_cast<const BDataType*>(p_b),
p_ds,
std::array<const void*, 0>{},
static_cast<CDataType*>(p_c),
M,
N,
K,
StrideA,
StrideB,
StrideDs,
std::array<index_t, 0>{},
StrideC,
KBatch,
a_element_op,
......
include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdl_cshuffle_v3.hpp
View file @ f537f83f
......@@ -48,7 +48,10 @@ __global__ void
karg.p_ds_grid,
karg.p_c_grid,
p_shared,
karg);
karg,
karg.a_element_op,
karg.b_element_op,
karg.c_element_op);
#else
ignore = karg;
#endif // end of if (defined(__gfx908__) || defined(__gfx90a__))
......@@ -82,7 +85,10 @@ __global__ void
karg.p_c_grid,
p_shared_0,
p_shared_1,
karg);
karg,
karg.a_element_op,
karg.b_element_op,
karg.c_element_op);
#else
ignore = karg;
#endif // end of if (defined(__gfx908__) || defined(__gfx90a__))
......@@ -134,7 +140,9 @@ template <typename ALayout,
BlockGemmPipelineScheduler BlkGemmPipeSched = BlockGemmPipelineScheduler::Intrawave,
BlockGemmPipelineVersion BlkGemmPipelineVer = BlockGemmPipelineVersion::v4,
typename ComputeTypeA = CDataType,
typename ComputeTypeB = ComputeTypeA>
typename ComputeTypeB = ComputeTypeA,
typename LDSTypeA = ADataType,
typename LDSTypeB = BDataType>
struct GridwiseGemm_xdl_cshuffle_v3
{
static constexpr auto I0 = Number<0>{};
......@@ -167,9 +175,9 @@ struct GridwiseGemm_xdl_cshuffle_v3
using DsGridPointer = decltype(MakeDsGridPointer());
static constexpr index_t KPack =
math::max(math::lcm(AK1Number, BK1Number),
MfmaSelector<ComputeTypeA, MPerXdl, NPerXdl>::selected_mfma.k_per_blk);
static constexpr index_t KPack = math::max(
math::lcm(AK1Number, BK1Number),
MfmaSelector<ComputeTypeA, MPerXdl, NPerXdl, ComputeTypeB>::selected_mfma.k_per_blk);
using ThisThreadBlock = ThisThreadBlock<BlockSize>;
......@@ -662,9 +670,9 @@ struct GridwiseGemm_xdl_cshuffle_v3
// in some cases.
else if constexpr(is_same<tensor_layout::gemm::RowMajor, ALayout>::value)
{
constexpr auto MLdsLayer = 32 * 4 / KPerBlock / sizeof(ADataType) < 1
constexpr auto MLdsLayer = 32 * 4 / KPerBlock / sizeof(LDSTypeA) < 1
? 1
: 32 * 4 / KPerBlock / sizeof(ADataType);
: 32 * 4 / KPerBlock / sizeof(LDSTypeA);
constexpr auto a_lds_block_desc = make_naive_tensor_descriptor(
make_tuple(
AK0Number * Number<MLdsLayer>{}, Number<MPerBlock / MLdsLayer>{}, AK1Number),
......@@ -710,20 +718,20 @@ struct GridwiseGemm_xdl_cshuffle_v3
constexpr auto KThreadRead = 64 / MPerXdl;
constexpr auto K0PerThreadRead = AK0Number / KThreadRead;
constexpr auto kfold = (AK1Number * M0 * sizeof(ADataType) > 128)
constexpr auto kfold = (AK1Number * M0 * sizeof(LDSTypeA) > 128)
? 1
: 128 / (AK1Number * M0 * sizeof(ADataType));
: 128 / (AK1Number * M0 * sizeof(LDSTypeA));
constexpr auto KThreadReadPerm =
(kfold * K0PerThreadWrite / K0PerThreadRead) > 1
? KThreadRead / (kfold * K0PerThreadWrite / K0PerThreadRead)
: KThreadRead;
// 1<=mpair<=n0
constexpr auto mpair = (AK1Number * MPerXdl * sizeof(ADataType) > 128)
constexpr auto mpair = (AK1Number * MPerXdl * sizeof(LDSTypeA) > 128)
? 1
: ((128 / (AK1Number * MPerXdl * sizeof(ADataType))) > M0
: ((128 / (AK1Number * MPerXdl * sizeof(LDSTypeA))) > M0
? M0
: 128 / (AK1Number * MPerXdl * sizeof(ADataType)));
: 128 / (AK1Number * MPerXdl * sizeof(LDSTypeA)));
constexpr auto a_lds_block_desc = make_naive_tensor_descriptor_packed(
make_tuple(Number<KThreadWrite / kfold / KThreadReadPerm>{},
......@@ -798,9 +806,9 @@ struct GridwiseGemm_xdl_cshuffle_v3
else if constexpr(is_same<tensor_layout::gemm::ColumnMajor, BLayout>::value)
{
// NLdsLayer * K0 as logical Bank
constexpr auto NLdsLayer = 32 * 4 / KPerBlock / sizeof(BDataType) < 1
constexpr auto NLdsLayer = 32 * 4 / KPerBlock / sizeof(LDSTypeB) < 1
? 1
: 32 * 4 / KPerBlock / sizeof(BDataType);
: 32 * 4 / KPerBlock / sizeof(LDSTypeB);
;
constexpr auto b_lds_block_desc = make_naive_tensor_descriptor(
make_tuple(
......@@ -844,20 +852,20 @@ struct GridwiseGemm_xdl_cshuffle_v3
constexpr auto KThreadRead = 64 / NPerXdl;
constexpr auto K0PerThreadRead = BK0Number / KThreadRead;
constexpr auto kfold = (BK1Number * N0 * sizeof(BDataType) > 128)
constexpr auto kfold = (BK1Number * N0 * sizeof(LDSTypeB) > 128)
? 1
: 128 / (BK1Number * N0 * sizeof(BDataType));
: 128 / (BK1Number * N0 * sizeof(LDSTypeB));
constexpr auto KThreadReadPerm =
(kfold * K0PerThreadWrite / K0PerThreadRead) > 1
? KThreadRead / (kfold * K0PerThreadWrite / K0PerThreadRead)
: KThreadRead;
// 1<=npair<=n0
constexpr auto npair = (BK1Number * NPerXdl * sizeof(BDataType) > 128)
constexpr auto npair = (BK1Number * NPerXdl * sizeof(LDSTypeB) > 128)
? 1
: ((128 / (BK1Number * NPerXdl * sizeof(BDataType))) > N0
: ((128 / (BK1Number * NPerXdl * sizeof(LDSTypeB))) > N0
? N0
: 128 / (BK1Number * NPerXdl * sizeof(BDataType)));
: 128 / (BK1Number * NPerXdl * sizeof(LDSTypeB)));
constexpr auto b_lds_block_desc = make_naive_tensor_descriptor_packed(
make_tuple(Number<KThreadWrite / kfold / KThreadReadPerm>{},
......@@ -940,8 +948,8 @@ struct GridwiseGemm_xdl_cshuffle_v3
BlkGemmPipelineVer,
BlkGemmPipeSched,
BlockSize,
ADataType,
BDataType,
LDSTypeA,
LDSTypeB,
ComputeTypeA,
AccDataType,
decltype(GetABlockDescriptor_AK0PerBlock_MPerBlock_AK1()),
......@@ -983,8 +991,8 @@ struct GridwiseGemm_xdl_cshuffle_v3
constexpr auto c_block_size =
c_shuffle_block_desc_mblock_mperblock_nblock_nperblock.GetElementSpaceSize();
return math::max((a_block_space_size_aligned * sizeof(ADataType) +
b_block_space_size_aligned * sizeof(BDataType)),
return math::max((a_block_space_size_aligned * sizeof(LDSTypeA) +
b_block_space_size_aligned * sizeof(LDSTypeB)),
c_block_size * sizeof(CShuffleDataType));
}
......@@ -1203,7 +1211,10 @@ struct GridwiseGemm_xdl_cshuffle_v3
DsGridPointer& p_ds_grid,
CDataType* p_c_grid,
void* p_shared,
const Problem& problem)
const Problem& problem,
AElementwiseOperation a_element_op,
BElementwiseOperation b_element_op,
CElementwiseOperation c_element_op)
{
const auto a_grid_desc_ak0_m_ak1 = MakeAGridDescriptor_AK0_M_AK1(
problem.M, problem.MPadded, problem.K, problem.KPadded, problem.StrideA, problem.AK0);
......@@ -1223,10 +1234,6 @@ struct GridwiseGemm_xdl_cshuffle_v3
auto c_grid_buf = make_dynamic_buffer<AddressSpaceEnum::Global>(
p_c_grid, c_grid_desc_mblock_mperblock_nblock_nperblock.GetElementSpaceSize());
const AElementwiseOperation a_element_op{};
const BElementwiseOperation b_element_op{};
const CElementwiseOperation c_element_op{};
// divide block work by [M, N]
const auto block_2_ctile_map = Block2CTileMap{problem.M, problem.N, 4};
......@@ -1270,7 +1277,7 @@ struct GridwiseGemm_xdl_cshuffle_v3
ABlockTransferThreadClusterLengths_AK0_M_AK1,
ABlockTransferThreadClusterArrangeOrder,
ADataType,
ADataType,
LDSTypeA,
decltype(a_grid_desc_ak0_m_ak1),
decltype(a_block_desc_ak0_m_ak1),
ABlockTransferSrcAccessOrder,
......@@ -1301,7 +1308,7 @@ struct GridwiseGemm_xdl_cshuffle_v3
BBlockTransferThreadClusterLengths_BK0_N_BK1,
BBlockTransferThreadClusterArrangeOrder,
BDataType,
BDataType,
LDSTypeB,
decltype(b_grid_desc_bk0_n_bk1),
decltype(b_block_desc_bk0_n_bk1),
BBlockTransferSrcAccessOrder,
......@@ -1328,11 +1335,11 @@ struct GridwiseGemm_xdl_cshuffle_v3
// Cast after lds
auto a_block_buf = make_dynamic_buffer<AddressSpaceEnum::Lds>(
static_cast<ADataType*>(p_shared), a_block_desc_ak0_m_ak1.GetElementSpaceSize());
static_cast<LDSTypeA*>(p_shared), a_block_desc_ak0_m_ak1.GetElementSpaceSize());
auto b_block_buf = make_dynamic_buffer<AddressSpaceEnum::Lds>(
static_cast<BDataType*>(p_shared) +
a_block_space_size_aligned * sizeof(ADataType) / sizeof(BDataType),
static_cast<LDSTypeB*>(p_shared) +
a_block_space_size_aligned * sizeof(LDSTypeA) / sizeof(LDSTypeB),
b_block_desc_bk0_n_bk1.GetElementSpaceSize());
constexpr auto a_block_slice_copy_step = make_multi_index(KPerBlock / AK1Number, 0, 0);
......@@ -1721,7 +1728,10 @@ struct GridwiseGemm_xdl_cshuffle_v3
CDataType* p_c_grid,
void* p_shared_0,
void* p_shared_1,
const Problem& problem)
const Problem& problem,
AElementwiseOperation a_element_op,
BElementwiseOperation b_element_op,
CElementwiseOperation c_element_op)
{
const auto a_grid_desc_ak0_m_ak1 = MakeAGridDescriptor_AK0_M_AK1(
problem.M, problem.MPadded, problem.K, problem.KPadded, problem.StrideA, problem.AK0);
......@@ -1741,10 +1751,6 @@ struct GridwiseGemm_xdl_cshuffle_v3
auto c_grid_buf = make_dynamic_buffer<AddressSpaceEnum::Global>(
p_c_grid, c_grid_desc_mblock_mperblock_nblock_nperblock.GetElementSpaceSize());
const AElementwiseOperation a_element_op{};
const BElementwiseOperation b_element_op{};
const CElementwiseOperation c_element_op{};
// divide block work by [M, N]
const auto block_2_ctile_map = Block2CTileMap{problem.M, problem.N, 4};
......@@ -1788,7 +1794,7 @@ struct GridwiseGemm_xdl_cshuffle_v3
ABlockTransferThreadClusterLengths_AK0_M_AK1,
ABlockTransferThreadClusterArrangeOrder,
ADataType,
ADataType,
LDSTypeA,
decltype(a_grid_desc_ak0_m_ak1),
decltype(a_block_desc_ak0_m_ak1),
ABlockTransferSrcAccessOrder,
......@@ -1819,7 +1825,7 @@ struct GridwiseGemm_xdl_cshuffle_v3
BBlockTransferThreadClusterLengths_BK0_N_BK1,
BBlockTransferThreadClusterArrangeOrder,
BDataType,
BDataType,
LDSTypeB,
decltype(b_grid_desc_bk0_n_bk1),
decltype(b_block_desc_bk0_n_bk1),
BBlockTransferSrcAccessOrder,
......@@ -1845,19 +1851,19 @@ struct GridwiseGemm_xdl_cshuffle_v3
a_block_desc_ak0_m_ak1.GetElementSpaceSize(), max_lds_align);
auto a_block_buf_ping = make_dynamic_buffer<AddressSpaceEnum::Lds>(
static_cast<ADataType*>(p_shared_0), a_block_desc_ak0_m_ak1.GetElementSpaceSize());
static_cast<LDSTypeA*>(p_shared_0), a_block_desc_ak0_m_ak1.GetElementSpaceSize());
auto b_block_buf_ping = make_dynamic_buffer<AddressSpaceEnum::Lds>(
static_cast<BDataType*>(p_shared_0) +
a_block_space_size_aligned * sizeof(ADataType) / sizeof(BDataType),
static_cast<LDSTypeB*>(p_shared_0) +
a_block_space_size_aligned * sizeof(LDSTypeA) / sizeof(LDSTypeB),
b_block_desc_bk0_n_bk1.GetElementSpaceSize());
auto a_block_buf_pong = make_dynamic_buffer<AddressSpaceEnum::Lds>(
static_cast<ADataType*>(p_shared_1), a_block_desc_ak0_m_ak1.GetElementSpaceSize());
static_cast<LDSTypeA*>(p_shared_1), a_block_desc_ak0_m_ak1.GetElementSpaceSize());
auto b_block_buf_pong = make_dynamic_buffer<AddressSpaceEnum::Lds>(
static_cast<BDataType*>(p_shared_1) +
a_block_space_size_aligned * sizeof(ADataType) / sizeof(BDataType),
static_cast<LDSTypeB*>(p_shared_1) +
a_block_space_size_aligned * sizeof(LDSTypeA) / sizeof(LDSTypeB),
b_block_desc_bk0_n_bk1.GetElementSpaceSize());
auto a_block_bufs = make_tuple(a_block_buf_ping, a_block_buf_pong);
......
profiler/src/CMakeLists.txt
View file @ f537f83f
......@@ -116,7 +116,7 @@ target_link_libraries(${PROFILER_EXECUTABLE} PRIVATE utility getopt::getopt)
# target_link_libraries(${PROFILER_EXECUTABLE} PRIVATE device_batched_gemm_reduce_instance)
# target_link_libraries(${PROFILER_EXECUTABLE} PRIVATE device_gemm_multiply_add_instance)
# target_link_libraries(${PROFILER_EXECUTABLE} PRIVATE device_gemm_splitk_instance)
# target_link_libraries(${PROFILER_EXECUTABLE} PRIVATE device_gemm_universal_instance)
target_link_libraries(${PROFILER_EXECUTABLE} PRIVATE device_gemm_universal_instance)
# target_link_libraries(${PROFILER_EXECUTABLE} PRIVATE device_gemm_add_multiply_instance)
# target_link_libraries(${PROFILER_EXECUTABLE} PRIVATE device_gemm_reduce_instance)
# target_link_libraries(${PROFILER_EXECUTABLE} PRIVATE device_gemm_bias_add_reduce_instance)
......
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