mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-03 21:21:22 +00:00
WMMA gemm_add_relu_add_layernorm (#2989)
* Summary:
- Refactor epilogue (with CShuffle) to support fused operations:
- EpilogueCShuffleBase holds common parts
- EpilogueCShuffle: runs CShuffle and write out
- EpilogueWelfordCShuffle: holds Welford specific arguments, runs CShuffle, write out, Welford first part and Welford write out
- Extend thread transfer v7r3:
- Support for intermediate data type different from src and dst type
- New functionality to write to dst buffer and keep data (to be able to use them for additional operations)
* Adress review comments
This commit is contained in:
Enrico Degregori
@@ -60,7 +60,9 @@ __launch_bounds__(CK_MAX_THREAD_PER_BLOCK, MinimumOccupancy)
|
||||
const long_index_t c_batch_offset =
|
||||
amd_wave_read_first_lane(compute_ptr_offset_of_batch.GetCPtrOffset(g_idx));
|
||||
|
||||
__shared__ char p_shared[GridwiseGemm::GetSharedMemoryNumberOfByte()];
|
||||
constexpr index_t LDS_size = GridwiseGemm::template GetSharedMemoryNumberOfByte<
|
||||
typename GridwiseGemm::EpilogueCShuffle>();
|
||||
__shared__ char p_shared[LDS_size];
|
||||
|
||||
auto splitk_batch_offset = typename GridwiseGemm::SplitKBatchOffset(karg, blockIdx.z);
|
||||
|
||||
@@ -82,6 +84,8 @@ __launch_bounds__(CK_MAX_THREAD_PER_BLOCK, MinimumOccupancy)
|
||||
splitk_batch_offset.b_k_split_offset[i] + b_batch_offset;
|
||||
});
|
||||
|
||||
auto epilogue_args = typename GridwiseGemm::EpilogueCShuffle{};
|
||||
|
||||
GridwiseGemm::template Run<HasMainKBlockLoop, CGlobalMemoryDataOperation, TailNum>(
|
||||
p_as_grid_shift,
|
||||
p_bs_grid_shift,
|
||||
@@ -91,7 +95,8 @@ __launch_bounds__(CK_MAX_THREAD_PER_BLOCK, MinimumOccupancy)
|
||||
karg,
|
||||
karg.a_element_op,
|
||||
karg.b_element_op,
|
||||
karg.cde_element_op);
|
||||
karg.cde_element_op,
|
||||
epilogue_args);
|
||||
#if defined(__gfx11__)
|
||||
}
|
||||
#endif
|
||||
|
||||
@@ -46,12 +46,14 @@ __launch_bounds__(CK_MAX_THREAD_PER_BLOCK, MinimumOccupancy)
|
||||
std::is_same_v<c_data_type, ck::bhalf_t>)))
|
||||
{
|
||||
#endif
|
||||
constexpr index_t LDS_size = GridwiseGemm::template GetSharedMemoryNumberOfByte<
|
||||
typename GridwiseGemm::EpilogueCShuffle>();
|
||||
// The normal approach to batching would be to increase the grid size by just stretching out
|
||||
// the grid Z dimension (which is the outermost dimension), but this depends on lower level
|
||||
// functions not directly using the Z dimension for other calculations. As it turns out, k
|
||||
// batching does rely directly on blockIdx.Z through SplitKBatchOffset. Therefore, for now
|
||||
// we will use the grid Y dimension for batching. This may be a bit fragile.
|
||||
__shared__ char p_shared[GridwiseGemm::GetSharedMemoryNumberOfByte()];
|
||||
__shared__ char p_shared[LDS_size];
|
||||
|
||||
const index_t g_idx = amd_wave_read_first_lane(blockIdx.y);
|
||||
|
||||
@@ -84,6 +86,8 @@ __launch_bounds__(CK_MAX_THREAD_PER_BLOCK, MinimumOccupancy)
|
||||
splitk_batch_offset.b_k_split_offset[i] + b_batch_offset;
|
||||
});
|
||||
|
||||
auto epilogue_args = typename GridwiseGemm::EpilogueCShuffle{};
|
||||
|
||||
GridwiseGemm::template Run<HasMainKBlockLoop, CGlobalMemoryDataOperation, TailNum>(
|
||||
p_as_grid_shift,
|
||||
p_bs_grid_shift,
|
||||
@@ -94,7 +98,8 @@ __launch_bounds__(CK_MAX_THREAD_PER_BLOCK, MinimumOccupancy)
|
||||
karg,
|
||||
karg.a_element_op,
|
||||
karg.b_element_op,
|
||||
karg.cde_element_op);
|
||||
karg.cde_element_op,
|
||||
epilogue_args);
|
||||
#if defined(__gfx11__)
|
||||
}
|
||||
#endif
|
||||
|
||||
@@ -0,0 +1,896 @@
|
||||
// SPDX-License-Identifier: MIT
|
||||
// Copyright (c) 2025, Advanced Micro Devices, Inc. All rights reserved.
|
||||
|
||||
#pragma once
|
||||
|
||||
#include <iostream>
|
||||
#include <sstream>
|
||||
|
||||
#include "ck/utility/common_header.hpp"
|
||||
#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_multiple_d_layernorm.hpp"
|
||||
#include "ck/tensor_operation/gpu/device/gemm_specialization.hpp"
|
||||
#include "ck/tensor_operation/gpu/device/matrix_padder.hpp"
|
||||
#include "ck/tensor_operation/gpu/grid/gridwise_gemm_wmma_cshuffle_v3.hpp"
|
||||
#include "ck/tensor_operation/gpu/grid/gemm_layernorm/gridwise_welford_second_half_layernorm2d.hpp"
|
||||
#include "ck/host_utility/device_prop.hpp"
|
||||
#include "ck/host_utility/kernel_launch.hpp"
|
||||
|
||||
namespace ck {
|
||||
|
||||
template <typename GridwiseGemm,
|
||||
typename EMeanVarDataType,
|
||||
bool HasMainKBlockLoop,
|
||||
InMemoryDataOperationEnum EGlobalMemoryDataOperation,
|
||||
index_t MinimumOccupancy = 1,
|
||||
TailNumber TailNum = TailNumber::Full>
|
||||
__global__ void
|
||||
#if CK_USE_LAUNCH_BOUNDS
|
||||
__launch_bounds__(CK_MAX_THREAD_PER_BLOCK, MinimumOccupancy)
|
||||
#endif
|
||||
kernel_gemm_multiple_d_welford_first_half_wmma_cshuffle_v3(
|
||||
typename GridwiseGemm::Argument karg,
|
||||
EMeanVarDataType* __restrict__ p_welford_mean_grid,
|
||||
EMeanVarDataType* __restrict__ p_welford_var_grid,
|
||||
int32_t* __restrict__ p_welford_count_grid)
|
||||
{
|
||||
#if(defined(__gfx11__) || defined(__gfx12__))
|
||||
#if defined(__gfx11__)
|
||||
// gfx11 does not support *_atomic_pk_add_f16/bf16 instructions
|
||||
using e_data_type = remove_cvref_t<remove_pointer_t<decltype(karg.p_e_grid)>>;
|
||||
if constexpr(!(EGlobalMemoryDataOperation == InMemoryDataOperationEnum::AtomicAdd &&
|
||||
(std::is_same_v<e_data_type, ck::half_t> ||
|
||||
std::is_same_v<e_data_type, ck::bhalf_t>)))
|
||||
{
|
||||
#endif
|
||||
constexpr index_t LDS_size = GridwiseGemm::template GetSharedMemoryNumberOfByte<
|
||||
typename GridwiseGemm::EpilogueWelfordCShuffle>();
|
||||
|
||||
__shared__ char p_shared[LDS_size];
|
||||
|
||||
auto splitk_batch_offset = typename GridwiseGemm::SplitKBatchOffset(karg, blockIdx.z);
|
||||
|
||||
auto epilogue_args = typename GridwiseGemm::EpilogueWelfordCShuffle(
|
||||
p_welford_mean_grid, p_welford_var_grid, p_welford_count_grid, karg.M, karg.N);
|
||||
|
||||
GridwiseGemm::template Run<HasMainKBlockLoop, EGlobalMemoryDataOperation, TailNum>(
|
||||
p_shared, splitk_batch_offset, karg, epilogue_args);
|
||||
|
||||
#if defined(__gfx11__)
|
||||
}
|
||||
#endif
|
||||
#else
|
||||
ignore = karg;
|
||||
ignore = p_welford_mean_grid;
|
||||
ignore = p_welford_var_grid;
|
||||
ignore = p_welford_count_grid;
|
||||
#endif
|
||||
}
|
||||
|
||||
template <typename GridwiseWelfordLayernorm,
|
||||
typename EMeanVarDataType,
|
||||
typename HDataType,
|
||||
typename GammaDataType,
|
||||
typename BetaDataType,
|
||||
typename ComputeDataType,
|
||||
typename EHGridDesc_M_N,
|
||||
typename LayernormMeanVarGridDesc_M_NBlock,
|
||||
typename LayernormCountGridDesc_M_NBlock,
|
||||
typename GammaBetaGridDesc_N,
|
||||
typename HElementwiseOperation>
|
||||
__global__ void
|
||||
#if CK_USE_LAUNCH_BOUNDS
|
||||
__launch_bounds__(CK_MAX_THREAD_PER_BLOCK, CK_MIN_BLOCK_PER_CU)
|
||||
#endif
|
||||
kernel_welford_layernorm2d_second_half(
|
||||
const EMeanVarDataType* __restrict__ p_e_grid,
|
||||
const EMeanVarDataType* __restrict__ p_in_welford_mean_grid,
|
||||
const EMeanVarDataType* __restrict__ p_in_welford_var_grid,
|
||||
const int32_t* __restrict__ p_in_welford_count_grid,
|
||||
const GammaDataType* __restrict__ p_gamma_grid,
|
||||
const BetaDataType* __restrict__ p_beta_grid,
|
||||
HDataType* __restrict__ p_h_grid,
|
||||
const EHGridDesc_M_N e_grid_desc_m_n,
|
||||
const EHGridDesc_M_N h_grid_desc_m_n,
|
||||
const LayernormMeanVarGridDesc_M_NBlock mean_var_grid_desc_m_nblock,
|
||||
const LayernormCountGridDesc_M_NBlock count_grid_desc_m_nblock,
|
||||
const GammaBetaGridDesc_N gamma_grid_desc_n,
|
||||
const GammaBetaGridDesc_N beta_grid_desc_n,
|
||||
index_t numMeanVarCountBlockTileIteration_N,
|
||||
index_t NBlockClusterLength,
|
||||
ComputeDataType epsilon,
|
||||
HElementwiseOperation h_element_op)
|
||||
{
|
||||
GridwiseWelfordLayernorm::Run(p_e_grid,
|
||||
p_in_welford_mean_grid,
|
||||
p_in_welford_var_grid,
|
||||
p_in_welford_count_grid,
|
||||
p_gamma_grid,
|
||||
p_beta_grid,
|
||||
p_h_grid,
|
||||
e_grid_desc_m_n,
|
||||
h_grid_desc_m_n,
|
||||
mean_var_grid_desc_m_nblock,
|
||||
count_grid_desc_m_nblock,
|
||||
gamma_grid_desc_n,
|
||||
beta_grid_desc_n,
|
||||
numMeanVarCountBlockTileIteration_N,
|
||||
NBlockClusterLength,
|
||||
epsilon,
|
||||
h_element_op);
|
||||
}
|
||||
|
||||
} // namespace ck
|
||||
|
||||
namespace ck {
|
||||
namespace tensor_operation {
|
||||
namespace device {
|
||||
|
||||
template <typename ALayout,
|
||||
typename BLayout,
|
||||
typename DsLayout,
|
||||
typename HLayout,
|
||||
typename ADataType,
|
||||
typename BDataType,
|
||||
typename DsDataType,
|
||||
typename HDataType,
|
||||
typename AccDataType,
|
||||
typename CShuffleDataType,
|
||||
typename EMeanVarDataType, // LayerNorm
|
||||
typename GammaDataType, // LayerNorm
|
||||
typename BetaDataType, // LayerNorm
|
||||
typename AElementwiseOperation,
|
||||
typename BElementwiseOperation,
|
||||
typename CDEElementwiseOperation,
|
||||
typename HElementwiseOperation,
|
||||
GemmSpecialization GemmSpec,
|
||||
index_t BlockSize,
|
||||
index_t MPerBlock,
|
||||
index_t NPerBlock,
|
||||
index_t KPerBlock,
|
||||
index_t AK1,
|
||||
index_t BK1,
|
||||
index_t MPerWmma,
|
||||
index_t NPerWmma,
|
||||
index_t MRepeat,
|
||||
index_t NRepeat,
|
||||
typename ABlockTransferThreadClusterLengths_AK0_M_AK1,
|
||||
typename ABlockTransferThreadClusterArrangeOrder,
|
||||
typename ABlockTransferSrcAccessOrder,
|
||||
index_t ABlockTransferSrcVectorDim,
|
||||
index_t ABlockTransferSrcScalarPerVector,
|
||||
index_t ABlockTransferDstScalarPerVector_AK1,
|
||||
bool ABlockLdsExtraM,
|
||||
typename BBlockTransferThreadClusterLengths_BK0_N_BK1,
|
||||
typename BBlockTransferThreadClusterArrangeOrder,
|
||||
typename BBlockTransferSrcAccessOrder,
|
||||
index_t BBlockTransferSrcVectorDim,
|
||||
index_t BBlockTransferSrcScalarPerVector,
|
||||
index_t BBlockTransferDstScalarPerVector_BK1,
|
||||
bool BBlockLdsExtraN,
|
||||
index_t CShuffleMRepeatPerShuffle,
|
||||
index_t CShuffleNRepeatPerShuffle,
|
||||
typename CDEShuffleBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock,
|
||||
index_t CDEShuffleBlockTransferScalarPerVector,
|
||||
typename LayernormThreadClusterSize_M_N,
|
||||
index_t LayernormThreadSliceSize_M,
|
||||
BlockGemmPipelineScheduler BlkGemmPipeSched = BlockGemmPipelineScheduler::Intrawave,
|
||||
BlockGemmPipelineVersion BlkGemmPipelineVer = BlockGemmPipelineVersion::v1,
|
||||
typename ComputeTypeA = HDataType,
|
||||
typename ComputeTypeB = ComputeTypeA,
|
||||
bool PermuteA = false,
|
||||
bool PermuteB = false>
|
||||
struct DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3
|
||||
: public DeviceGemmMultipleDLayernorm<ALayout,
|
||||
BLayout,
|
||||
DsLayout,
|
||||
HLayout,
|
||||
ADataType,
|
||||
BDataType,
|
||||
DsDataType,
|
||||
GammaDataType,
|
||||
BetaDataType,
|
||||
HDataType,
|
||||
AElementwiseOperation,
|
||||
BElementwiseOperation,
|
||||
CDEElementwiseOperation,
|
||||
HElementwiseOperation>
|
||||
{
|
||||
// EDataType, MeanDataType and VarDataType must be the same.
|
||||
using DeviceOp = DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3;
|
||||
|
||||
static constexpr index_t NumDTensor = DsDataType::Size();
|
||||
static constexpr index_t LayernormHDstVectorSize = CDEShuffleBlockTransferScalarPerVector;
|
||||
static constexpr index_t LayernormGammaSrcVectorSize = CDEShuffleBlockTransferScalarPerVector;
|
||||
static constexpr index_t LayernormBetaSrcVectorSize = CDEShuffleBlockTransferScalarPerVector;
|
||||
static constexpr index_t LayernormESrcVectorSize = CDEShuffleBlockTransferScalarPerVector;
|
||||
static constexpr index_t LayernormThreadSliceSize_N = CDEShuffleBlockTransferScalarPerVector;
|
||||
|
||||
using LayernormBlockTileSize_M_N =
|
||||
Sequence<LayernormThreadClusterSize_M_N::At(0) * LayernormThreadSliceSize_M,
|
||||
LayernormThreadClusterSize_M_N::At(1) * LayernormThreadSliceSize_N>;
|
||||
|
||||
static constexpr auto I0 = Number<0>{};
|
||||
static constexpr auto I1 = Number<1>{};
|
||||
static constexpr auto I2 = Number<2>{};
|
||||
static constexpr auto I3 = Number<3>{};
|
||||
|
||||
using CDEShuffleBlockTransferScalarPerVectors =
|
||||
Sequence<CDEShuffleBlockTransferScalarPerVector,
|
||||
CDEShuffleBlockTransferScalarPerVector,
|
||||
CDEShuffleBlockTransferScalarPerVector>;
|
||||
|
||||
// GEMM + Welford 1st part kernel
|
||||
using GridwiseGemmWelford = GridwiseGemm_wmma_cshuffle_v3<
|
||||
ALayout,
|
||||
BLayout,
|
||||
DsLayout,
|
||||
HLayout,
|
||||
Tuple<ADataType>,
|
||||
Tuple<BDataType>,
|
||||
AccDataType,
|
||||
CShuffleDataType,
|
||||
DsDataType,
|
||||
EMeanVarDataType,
|
||||
AElementwiseOperation,
|
||||
BElementwiseOperation,
|
||||
CDEElementwiseOperation,
|
||||
GemmSpec,
|
||||
BlockSize,
|
||||
MPerBlock,
|
||||
NPerBlock,
|
||||
KPerBlock,
|
||||
AK1,
|
||||
BK1,
|
||||
MPerWmma,
|
||||
NPerWmma,
|
||||
MRepeat,
|
||||
NRepeat,
|
||||
ABlockTransferThreadClusterLengths_AK0_M_AK1,
|
||||
ABlockTransferThreadClusterArrangeOrder,
|
||||
ABlockTransferSrcAccessOrder,
|
||||
ABlockTransferSrcVectorDim,
|
||||
ABlockTransferSrcScalarPerVector,
|
||||
ABlockTransferDstScalarPerVector_AK1,
|
||||
false,
|
||||
ABlockLdsExtraM,
|
||||
BBlockTransferThreadClusterLengths_BK0_N_BK1,
|
||||
BBlockTransferThreadClusterArrangeOrder,
|
||||
BBlockTransferSrcAccessOrder,
|
||||
BBlockTransferSrcVectorDim,
|
||||
BBlockTransferSrcScalarPerVector,
|
||||
BBlockTransferDstScalarPerVector_BK1,
|
||||
false,
|
||||
BBlockLdsExtraN,
|
||||
CShuffleMRepeatPerShuffle,
|
||||
CShuffleNRepeatPerShuffle,
|
||||
CDEShuffleBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock,
|
||||
CDEShuffleBlockTransferScalarPerVectors,
|
||||
BlkGemmPipeSched,
|
||||
BlkGemmPipelineVer,
|
||||
ComputeTypeA,
|
||||
ComputeTypeB,
|
||||
PermuteA,
|
||||
PermuteB>;
|
||||
|
||||
// Welford 2nd part kernel
|
||||
template <typename DoPads, index_t MPerTile, index_t NPerTile>
|
||||
static auto MakeEHGridDescriptor_M_N(index_t M, index_t N, index_t Stride)
|
||||
{
|
||||
// Only support row major for E and H
|
||||
const auto grid_desc_m_n =
|
||||
make_naive_tensor_descriptor(make_tuple(M, N), make_tuple(Stride, I1));
|
||||
return PadTensorDescriptor(grid_desc_m_n, make_tuple(MPerTile, NPerTile), DoPads{});
|
||||
}
|
||||
|
||||
template <index_t XPerTile>
|
||||
static auto MakeDescriptor_X(index_t X)
|
||||
{
|
||||
const auto grid_desc_x = make_naive_tensor_descriptor_packed(make_tuple(X));
|
||||
return PadTensorDescriptor(grid_desc_x, make_tuple(XPerTile), Sequence<true>{});
|
||||
}
|
||||
|
||||
using LayernormMeanVarGridDesc_M_NBlock =
|
||||
decltype(GridwiseGemmWelford::EpilogueWelfordCShuffle::template MakeMeanVarDescriptor_M_N<
|
||||
Sequence<true, true>,
|
||||
LayernormBlockTileSize_M_N::At(0),
|
||||
LayernormBlockTileSize_M_N::At(1)>(1, 1));
|
||||
|
||||
using LayernormCountGridDesc_M_NBlock =
|
||||
decltype(GridwiseGemmWelford::EpilogueWelfordCShuffle::template MakeCountDescriptor_M_N<
|
||||
Sequence<true, true>,
|
||||
LayernormBlockTileSize_M_N::At(0),
|
||||
LayernormBlockTileSize_M_N::At(1)>(1, 1));
|
||||
|
||||
using GammaBetaGridDesc_N = decltype(MakeDescriptor_X<LayernormBlockTileSize_M_N::At(1)>(1));
|
||||
using EHGridDesc_M_N = decltype(MakeEHGridDescriptor_M_N<Sequence<true, true>, 1, 1>(1, 1, 1));
|
||||
|
||||
using GridwiseWelfordLayernorm =
|
||||
GridwiseWelfordSecondHalfLayernorm2d<EMeanVarDataType,
|
||||
HDataType,
|
||||
GammaDataType,
|
||||
BetaDataType,
|
||||
AccDataType,
|
||||
EHGridDesc_M_N,
|
||||
LayernormMeanVarGridDesc_M_NBlock,
|
||||
LayernormCountGridDesc_M_NBlock,
|
||||
GammaBetaGridDesc_N,
|
||||
HElementwiseOperation,
|
||||
BlockSize,
|
||||
LayernormThreadClusterSize_M_N::At(I0),
|
||||
LayernormThreadClusterSize_M_N::At(I1),
|
||||
LayernormThreadSliceSize_M,
|
||||
LayernormThreadSliceSize_N,
|
||||
LayernormESrcVectorSize,
|
||||
LayernormHDstVectorSize,
|
||||
LayernormGammaSrcVectorSize,
|
||||
LayernormBetaSrcVectorSize>;
|
||||
|
||||
// Argument
|
||||
struct Argument : public BaseArgument
|
||||
{
|
||||
Argument(const void* p_a_grid,
|
||||
const void* p_b_grid,
|
||||
std::array<const void*, NumDTensor> p_ds_grid,
|
||||
const void* p_gamma_grid,
|
||||
const void* p_beta_grid,
|
||||
void* p_h_grid,
|
||||
index_t MRaw,
|
||||
index_t NRaw,
|
||||
index_t KRaw,
|
||||
index_t StrideA,
|
||||
index_t StrideB,
|
||||
std::array<index_t, NumDTensor> StrideDs,
|
||||
index_t StrideH,
|
||||
double epsilon,
|
||||
AElementwiseOperation a_element_op,
|
||||
BElementwiseOperation b_element_op,
|
||||
CDEElementwiseOperation cde_element_op,
|
||||
HElementwiseOperation h_element_op)
|
||||
: p_a_grid_{static_cast<const ADataType*>(p_a_grid)},
|
||||
p_b_grid_{static_cast<const BDataType*>(p_b_grid)},
|
||||
p_ds_grid_{},
|
||||
p_workspace_e_grid_{nullptr},
|
||||
p_workspace_mean_{nullptr},
|
||||
p_workspace_var_{nullptr},
|
||||
p_workspace_count_{nullptr},
|
||||
p_gamma_grid_{static_cast<const GammaDataType*>(p_gamma_grid)},
|
||||
p_beta_grid_{static_cast<const BetaDataType*>(p_beta_grid)},
|
||||
p_h_grid_{static_cast<HDataType*>(p_h_grid)},
|
||||
layernorm_e_grid_desc_m_n_{
|
||||
DeviceOp::MakeEHGridDescriptor_M_N<Sequence<true, true>,
|
||||
LayernormBlockTileSize_M_N::At(0),
|
||||
LayernormBlockTileSize_M_N::At(1)>(
|
||||
MRaw, NRaw, StrideH)},
|
||||
layernorm_mean_var_grid_desc_m_nblock_{},
|
||||
layernorm_count_grid_desc_m_nblock_{},
|
||||
gamma_grid_desc_n_{
|
||||
DeviceOp::MakeDescriptor_X<LayernormBlockTileSize_M_N::At(1)>(NRaw)},
|
||||
beta_grid_desc_n_{
|
||||
DeviceOp::MakeDescriptor_X<LayernormBlockTileSize_M_N::At(1)>(NRaw)},
|
||||
h_grid_desc_m_n_{
|
||||
DeviceOp::MakeEHGridDescriptor_M_N<Sequence<true, true>,
|
||||
LayernormBlockTileSize_M_N::At(0),
|
||||
LayernormBlockTileSize_M_N::At(1)>(
|
||||
MRaw, NRaw, StrideH)},
|
||||
a_element_op_{a_element_op},
|
||||
b_element_op_{b_element_op},
|
||||
cde_element_op_{cde_element_op},
|
||||
h_element_op_{h_element_op},
|
||||
MRaw_{MRaw},
|
||||
NRaw_{NRaw},
|
||||
KRaw_{KRaw},
|
||||
StrideA_{StrideA},
|
||||
StrideB_{StrideB},
|
||||
StrideDs_{StrideDs},
|
||||
StrideH_{StrideH},
|
||||
gemm_nblock_{math::integer_divide_ceil(NRaw, NPerBlock)},
|
||||
epsilon_{static_cast<AccDataType>(epsilon)}
|
||||
{
|
||||
static_for<0, NumDTensor, 1>{}([&](auto i) { p_ds_grid_[i] = p_ds_grid[i]; });
|
||||
|
||||
layernorm_mean_var_grid_desc_m_nblock_ =
|
||||
GridwiseGemmWelford::EpilogueWelfordCShuffle::template MakeMeanVarDescriptor_M_N<
|
||||
Sequence<true, true>,
|
||||
LayernormBlockTileSize_M_N::At(0),
|
||||
LayernormBlockTileSize_M_N::At(1)>(MRaw, gemm_nblock_);
|
||||
|
||||
layernorm_count_grid_desc_m_nblock_ =
|
||||
GridwiseGemmWelford::EpilogueWelfordCShuffle::template MakeCountDescriptor_M_N<
|
||||
Sequence<true, true>,
|
||||
LayernormBlockTileSize_M_N::At(0),
|
||||
LayernormBlockTileSize_M_N::At(1)>(MRaw, gemm_nblock_);
|
||||
}
|
||||
|
||||
// pointers
|
||||
const ADataType* p_a_grid_;
|
||||
const BDataType* p_b_grid_;
|
||||
std::array<const void*, NumDTensor> p_ds_grid_;
|
||||
void* p_workspace_e_grid_;
|
||||
void* p_workspace_mean_;
|
||||
void* p_workspace_var_;
|
||||
void* p_workspace_count_;
|
||||
const GammaDataType* p_gamma_grid_;
|
||||
const BetaDataType* p_beta_grid_;
|
||||
HDataType* p_h_grid_;
|
||||
|
||||
// tensor descriptors (Welford second half)
|
||||
EHGridDesc_M_N layernorm_e_grid_desc_m_n_;
|
||||
LayernormMeanVarGridDesc_M_NBlock layernorm_mean_var_grid_desc_m_nblock_;
|
||||
LayernormCountGridDesc_M_NBlock layernorm_count_grid_desc_m_nblock_;
|
||||
GammaBetaGridDesc_N gamma_grid_desc_n_;
|
||||
GammaBetaGridDesc_N beta_grid_desc_n_;
|
||||
EHGridDesc_M_N h_grid_desc_m_n_;
|
||||
|
||||
// element-wise op
|
||||
AElementwiseOperation a_element_op_;
|
||||
BElementwiseOperation b_element_op_;
|
||||
CDEElementwiseOperation cde_element_op_;
|
||||
HElementwiseOperation h_element_op_;
|
||||
|
||||
index_t MRaw_;
|
||||
index_t NRaw_;
|
||||
index_t KRaw_;
|
||||
index_t StrideA_;
|
||||
index_t StrideB_;
|
||||
std::array<index_t, NumDTensor> StrideDs_;
|
||||
index_t StrideH_;
|
||||
index_t gemm_nblock_;
|
||||
AccDataType epsilon_;
|
||||
};
|
||||
|
||||
// Invoker
|
||||
struct Invoker : public BaseInvoker
|
||||
{
|
||||
float Run(const Argument& arg, const StreamConfig& stream_config = StreamConfig{})
|
||||
{
|
||||
typename GridwiseGemmWelford::Argument gemm_arg{
|
||||
std::array<const void*, 1>{arg.p_a_grid_},
|
||||
std::array<const void*, 1>{arg.p_b_grid_},
|
||||
arg.p_ds_grid_,
|
||||
static_cast<EMeanVarDataType*>(arg.p_workspace_e_grid_),
|
||||
arg.MRaw_,
|
||||
arg.NRaw_,
|
||||
arg.KRaw_,
|
||||
std::array<index_t, 1>{arg.StrideA_}, // StrideAs
|
||||
std::array<index_t, 1>{arg.StrideB_}, // StrideBs
|
||||
arg.StrideDs_, // StrideDs
|
||||
arg.StrideH_, // StrideE
|
||||
I1, // kbatch
|
||||
arg.a_element_op_,
|
||||
arg.b_element_op_,
|
||||
arg.cde_element_op_};
|
||||
|
||||
if(stream_config.log_level_ > 0)
|
||||
{
|
||||
gemm_arg.Print();
|
||||
GridwiseGemmWelford::BlockwiseGemmPipe::HotLoopInstList::Print();
|
||||
}
|
||||
|
||||
if(!GridwiseGemmWelford::CheckValidity(gemm_arg))
|
||||
{
|
||||
throw std::runtime_error("wrong! GridwiseGemmWelford has invalid setting");
|
||||
}
|
||||
|
||||
if(arg.p_workspace_e_grid_ == nullptr || arg.p_workspace_mean_ == nullptr ||
|
||||
arg.p_workspace_var_ == nullptr || arg.p_workspace_count_ == nullptr)
|
||||
throw std::runtime_error("wrong! WorkSpace pointer has not been set");
|
||||
|
||||
index_t gdx, gdy, gdz;
|
||||
std::tie(gdx, gdy, gdz) =
|
||||
GridwiseGemmWelford::CalculateGridSize(arg.MRaw_, arg.NRaw_, 1);
|
||||
|
||||
float ave_time = 0;
|
||||
|
||||
index_t K_split = (arg.KRaw_ + KPerBlock - 1) / KPerBlock * KPerBlock;
|
||||
|
||||
const bool has_main_k_block_loop =
|
||||
GridwiseGemmWelford::CalculateHasMainKBlockLoop(K_split);
|
||||
|
||||
const auto Run = [&](const auto& kernel_gemm_welford_first_half) {
|
||||
// Note: cache flushing not supported
|
||||
|
||||
const auto kernel_welford_second_half =
|
||||
kernel_welford_layernorm2d_second_half<GridwiseWelfordLayernorm,
|
||||
EMeanVarDataType,
|
||||
HDataType,
|
||||
GammaDataType,
|
||||
BetaDataType,
|
||||
AccDataType,
|
||||
EHGridDesc_M_N,
|
||||
LayernormMeanVarGridDesc_M_NBlock,
|
||||
LayernormCountGridDesc_M_NBlock,
|
||||
GammaBetaGridDesc_N,
|
||||
HElementwiseOperation>;
|
||||
|
||||
// First kernel launch: GEMM + Welford first part
|
||||
ave_time +=
|
||||
launch_and_time_kernel(stream_config,
|
||||
kernel_gemm_welford_first_half,
|
||||
dim3(gdx, gdy, gdz),
|
||||
dim3(BlockSize),
|
||||
0,
|
||||
gemm_arg,
|
||||
static_cast<EMeanVarDataType*>(arg.p_workspace_mean_),
|
||||
static_cast<EMeanVarDataType*>(arg.p_workspace_var_),
|
||||
static_cast<int32_t*>(arg.p_workspace_count_));
|
||||
|
||||
// Second kernel launch: Welford second part
|
||||
const auto M = arg.h_grid_desc_m_n_.GetLength(I0);
|
||||
const auto N = arg.h_grid_desc_m_n_.GetLength(I1);
|
||||
|
||||
index_t MBlockClusterLength =
|
||||
math::integer_divide_ceil(M, LayernormBlockTileSize_M_N::At(0));
|
||||
index_t NBlockClusterLength =
|
||||
math::integer_divide_ceil(N, LayernormBlockTileSize_M_N::At(1));
|
||||
|
||||
auto grid_size = MBlockClusterLength * NBlockClusterLength;
|
||||
|
||||
index_t numMeanVarCountBlockTileIteration_N = math::integer_divide_ceil(
|
||||
arg.gemm_nblock_, LayernormThreadClusterSize_M_N::At(I1));
|
||||
|
||||
ave_time += launch_and_time_kernel(
|
||||
stream_config,
|
||||
kernel_welford_second_half,
|
||||
dim3(grid_size),
|
||||
dim3(BlockSize),
|
||||
0,
|
||||
static_cast<EMeanVarDataType*>(arg.p_workspace_e_grid_),
|
||||
static_cast<const EMeanVarDataType*>(arg.p_workspace_mean_),
|
||||
static_cast<const EMeanVarDataType*>(arg.p_workspace_var_),
|
||||
static_cast<const int32_t*>(arg.p_workspace_count_),
|
||||
arg.p_gamma_grid_,
|
||||
arg.p_beta_grid_,
|
||||
arg.p_h_grid_,
|
||||
arg.layernorm_e_grid_desc_m_n_,
|
||||
arg.h_grid_desc_m_n_,
|
||||
arg.layernorm_mean_var_grid_desc_m_nblock_,
|
||||
arg.layernorm_count_grid_desc_m_nblock_,
|
||||
arg.gamma_grid_desc_n_,
|
||||
arg.beta_grid_desc_n_,
|
||||
numMeanVarCountBlockTileIteration_N,
|
||||
NBlockClusterLength,
|
||||
arg.epsilon_,
|
||||
arg.h_element_op_);
|
||||
};
|
||||
|
||||
constexpr index_t minimum_occupancy = []() {
|
||||
if constexpr(BlkGemmPipeSched == BlockGemmPipelineScheduler::Interwave)
|
||||
{
|
||||
return 2;
|
||||
}
|
||||
else if constexpr(BlkGemmPipelineVer == BlockGemmPipelineVersion::v3)
|
||||
{
|
||||
return (MPerBlock * NPerBlock / BlockSize <= 128) ? 2 : 1;
|
||||
}
|
||||
else
|
||||
{
|
||||
return 1;
|
||||
}
|
||||
}();
|
||||
|
||||
if(has_main_k_block_loop)
|
||||
{
|
||||
// Tail number always full
|
||||
if constexpr(BlkGemmPipelineVer == BlockGemmPipelineVersion::v1 ||
|
||||
BlkGemmPipelineVer == BlockGemmPipelineVersion::v3)
|
||||
{
|
||||
const auto kernel = kernel_gemm_multiple_d_welford_first_half_wmma_cshuffle_v3<
|
||||
GridwiseGemmWelford,
|
||||
EMeanVarDataType,
|
||||
true,
|
||||
InMemoryDataOperationEnum::Set,
|
||||
minimum_occupancy>;
|
||||
Run(kernel);
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
// Tail number always 1
|
||||
if constexpr(BlkGemmPipelineVer == BlockGemmPipelineVersion::v1)
|
||||
{
|
||||
const auto kernel = kernel_gemm_multiple_d_welford_first_half_wmma_cshuffle_v3<
|
||||
GridwiseGemmWelford,
|
||||
EMeanVarDataType,
|
||||
false,
|
||||
InMemoryDataOperationEnum::Set,
|
||||
minimum_occupancy>;
|
||||
Run(kernel);
|
||||
}
|
||||
}
|
||||
|
||||
return ave_time;
|
||||
}
|
||||
|
||||
// polymorphic
|
||||
float Run(const BaseArgument* p_arg,
|
||||
const StreamConfig& stream_config = StreamConfig{}) override
|
||||
{
|
||||
return Run(*dynamic_cast<const Argument*>(p_arg), stream_config);
|
||||
}
|
||||
};
|
||||
|
||||
size_t GetWorkSpaceSize(const BaseArgument* pArg) const override
|
||||
{
|
||||
const Argument* pArg_ = dynamic_cast<const Argument*>(pArg);
|
||||
|
||||
size_t workspace_size = 0;
|
||||
|
||||
int gemm_welford_size = pArg_->MRaw_ * pArg_->gemm_nblock_;
|
||||
|
||||
// workspace for welford intermediate mean
|
||||
workspace_size += gemm_welford_size * sizeof(EMeanVarDataType) + 128;
|
||||
|
||||
// workspace for welford intermediate variance
|
||||
workspace_size += gemm_welford_size * sizeof(EMeanVarDataType) + 128;
|
||||
|
||||
// workspace for welford intermediate count
|
||||
workspace_size += pArg_->gemm_nblock_ * sizeof(int32_t) + 128;
|
||||
|
||||
if constexpr(!is_same_v<EMeanVarDataType, HDataType>)
|
||||
workspace_size += pArg_->MRaw_ * pArg_->NRaw_ * sizeof(EMeanVarDataType);
|
||||
|
||||
return (workspace_size);
|
||||
};
|
||||
|
||||
void SetWorkSpacePointer(BaseArgument* pArg,
|
||||
void* p_workspace,
|
||||
const StreamConfig& = StreamConfig{}) const override
|
||||
{
|
||||
Argument* pArg_ = dynamic_cast<Argument*>(pArg);
|
||||
|
||||
pArg_->p_workspace_ = p_workspace;
|
||||
|
||||
int gemm_welford_size = pArg_->MRaw_ * pArg_->gemm_nblock_;
|
||||
|
||||
// setup buffer used for intermediate welford mean
|
||||
pArg_->p_workspace_mean_ = static_cast<char*>(pArg_->p_workspace_);
|
||||
|
||||
index_t mean_space_sz = gemm_welford_size * sizeof(EMeanVarDataType);
|
||||
mean_space_sz = math::integer_least_multiple(mean_space_sz, 128);
|
||||
|
||||
// setup buffer used for intermediate welford variance
|
||||
pArg_->p_workspace_var_ = reinterpret_cast<char*>(pArg_->p_workspace_mean_) + mean_space_sz;
|
||||
|
||||
index_t variance_space_sz = gemm_welford_size * sizeof(EMeanVarDataType);
|
||||
variance_space_sz = math::integer_least_multiple(variance_space_sz, 128);
|
||||
|
||||
// setup buffer used for intermediate welford count
|
||||
pArg_->p_workspace_count_ =
|
||||
reinterpret_cast<char*>(pArg_->p_workspace_var_) + variance_space_sz;
|
||||
|
||||
index_t count_space_sz = gemm_welford_size * sizeof(int32_t);
|
||||
count_space_sz = math::integer_least_multiple(count_space_sz, 128);
|
||||
|
||||
if constexpr(!is_same_v<EMeanVarDataType, HDataType>)
|
||||
pArg_->p_workspace_e_grid_ =
|
||||
reinterpret_cast<char*>(pArg_->p_workspace_count_) + count_space_sz;
|
||||
else
|
||||
pArg_->p_workspace_e_grid_ = static_cast<void*>(pArg_->p_h_grid_);
|
||||
};
|
||||
|
||||
static bool IsSupportedArgument(const Argument& arg)
|
||||
{
|
||||
if(!ck::is_gfx11_supported() && !ck::is_gfx12_supported())
|
||||
{
|
||||
return false;
|
||||
}
|
||||
|
||||
// No need to check for splitK because we force KBatch = 1 (no support)
|
||||
|
||||
if constexpr(std::is_same_v<ComputeTypeA, f8_t> || std::is_same_v<ComputeTypeA, bf8_t> ||
|
||||
std::is_same_v<ComputeTypeB, f8_t> || std::is_same_v<ComputeTypeB, bf8_t>)
|
||||
{
|
||||
if(ck::is_gfx11_supported())
|
||||
{
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
if((arg.KRaw_ % AK1 != 0 || arg.KRaw_ % BK1 != 0) &&
|
||||
!(GemmSpec == GemmSpecialization::MKPadding ||
|
||||
GemmSpec == GemmSpecialization::NKPadding ||
|
||||
GemmSpec == GemmSpecialization::MNKPadding ||
|
||||
GemmSpec == GemmSpecialization::KPadding))
|
||||
{
|
||||
return false;
|
||||
}
|
||||
|
||||
typename GridwiseGemmWelford::Argument gemm_arg{
|
||||
std::array<const void*, 1>{arg.p_a_grid_},
|
||||
std::array<const void*, 1>{arg.p_b_grid_},
|
||||
arg.p_ds_grid_,
|
||||
static_cast<EMeanVarDataType*>(arg.p_workspace_e_grid_),
|
||||
arg.MRaw_,
|
||||
arg.NRaw_,
|
||||
arg.KRaw_,
|
||||
std::array<index_t, 1>{arg.StrideA_}, // StrideAs
|
||||
std::array<index_t, 1>{arg.StrideB_}, // StrideBs
|
||||
arg.StrideDs_, // StrideDs
|
||||
arg.StrideH_, // StrideE
|
||||
I1, // kbatch
|
||||
arg.a_element_op_,
|
||||
arg.b_element_op_,
|
||||
arg.cde_element_op_};
|
||||
|
||||
const auto a_grid_desc_ak0_m_ak1 =
|
||||
GridwiseGemmWelford::MakeAsGridDescriptor_AK0_M_AK1(gemm_arg.M,
|
||||
gemm_arg.MPadded,
|
||||
gemm_arg.K,
|
||||
gemm_arg.KPadded,
|
||||
gemm_arg.StrideAs,
|
||||
gemm_arg.AK0);
|
||||
const auto b_grid_desc_bk0_n_bk1 =
|
||||
GridwiseGemmWelford::MakeBsGridDescriptor_BK0_N_BK1(gemm_arg.K,
|
||||
gemm_arg.KPadded,
|
||||
gemm_arg.N,
|
||||
gemm_arg.NPadded,
|
||||
gemm_arg.StrideBs,
|
||||
gemm_arg.BK0);
|
||||
|
||||
const auto M = a_grid_desc_ak0_m_ak1[I0].GetLength(I1);
|
||||
const auto N = b_grid_desc_bk0_n_bk1[I0].GetLength(I1);
|
||||
const auto K =
|
||||
a_grid_desc_ak0_m_ak1[I0].GetLength(I0) * a_grid_desc_ak0_m_ak1[I0].GetLength(I2);
|
||||
|
||||
if(!(M % MPerBlock == 0 && N % NPerBlock == 0 && K % KPerBlock == 0))
|
||||
{
|
||||
return false;
|
||||
}
|
||||
|
||||
return GridwiseGemmWelford::CheckValidity(gemm_arg);
|
||||
}
|
||||
|
||||
// polymorphic
|
||||
bool IsSupportedArgument(const BaseArgument* p_arg) override
|
||||
{
|
||||
return IsSupportedArgument(*dynamic_cast<const Argument*>(p_arg));
|
||||
}
|
||||
|
||||
static auto MakeArgument(const void* p_a,
|
||||
const void* p_b,
|
||||
std::array<const void*, NumDTensor> p_ds,
|
||||
const void* p_gamma,
|
||||
const void* p_beta,
|
||||
void* p_h,
|
||||
index_t MRaw,
|
||||
index_t NRaw,
|
||||
index_t KRaw,
|
||||
index_t StrideA,
|
||||
index_t StrideB,
|
||||
std::array<index_t, NumDTensor> StrideDs,
|
||||
index_t StrideH,
|
||||
double epsilon,
|
||||
AElementwiseOperation a_element_op,
|
||||
BElementwiseOperation b_element_op,
|
||||
CDEElementwiseOperation cde_element_op,
|
||||
HElementwiseOperation h_element_op)
|
||||
{
|
||||
return Argument{p_a,
|
||||
p_b,
|
||||
p_ds,
|
||||
p_gamma,
|
||||
p_beta,
|
||||
p_h,
|
||||
MRaw,
|
||||
NRaw,
|
||||
KRaw,
|
||||
StrideA,
|
||||
StrideB,
|
||||
StrideDs,
|
||||
StrideH,
|
||||
epsilon,
|
||||
a_element_op,
|
||||
b_element_op,
|
||||
cde_element_op,
|
||||
h_element_op};
|
||||
}
|
||||
|
||||
static auto MakeInvoker() { return Invoker{}; }
|
||||
|
||||
// polymorphic
|
||||
std::unique_ptr<BaseArgument> MakeArgumentPointer(const void* p_a,
|
||||
const void* p_b,
|
||||
std::array<const void*, NumDTensor> p_ds,
|
||||
const void* p_gamma,
|
||||
const void* p_beta,
|
||||
void* p_h,
|
||||
index_t MRaw,
|
||||
index_t NRaw,
|
||||
index_t KRaw,
|
||||
index_t StrideA,
|
||||
index_t StrideB,
|
||||
std::array<index_t, NumDTensor> StrideDs,
|
||||
index_t StrideH,
|
||||
double epsilon,
|
||||
AElementwiseOperation a_element_op,
|
||||
BElementwiseOperation b_element_op,
|
||||
CDEElementwiseOperation cde_element_op,
|
||||
HElementwiseOperation h_element_op) override
|
||||
{
|
||||
return std::make_unique<Argument>(p_a,
|
||||
p_b,
|
||||
p_ds,
|
||||
p_gamma,
|
||||
p_beta,
|
||||
p_h,
|
||||
MRaw,
|
||||
NRaw,
|
||||
KRaw,
|
||||
StrideA,
|
||||
StrideB,
|
||||
StrideDs,
|
||||
StrideH,
|
||||
epsilon,
|
||||
a_element_op,
|
||||
b_element_op,
|
||||
cde_element_op,
|
||||
h_element_op);
|
||||
}
|
||||
|
||||
// polymorphic
|
||||
std::unique_ptr<BaseInvoker> MakeInvokerPointer() override
|
||||
{
|
||||
return std::make_unique<Invoker>(Invoker{});
|
||||
}
|
||||
|
||||
// polymorphic
|
||||
std::string GetTypeString() const override
|
||||
{
|
||||
auto str = std::stringstream();
|
||||
|
||||
std::map<BlockGemmPipelineScheduler, std::string> BlkGemmPipelineSchedulerToString{
|
||||
{BlockGemmPipelineScheduler::Intrawave, "Intrawave"},
|
||||
{BlockGemmPipelineScheduler::Interwave, "Interwave"}};
|
||||
|
||||
std::map<BlockGemmPipelineVersion, std::string> BlkGemmPipelineVersionToString{
|
||||
{BlockGemmPipelineVersion::v1, "v1"},
|
||||
{BlockGemmPipelineVersion::v2, "v2"},
|
||||
{BlockGemmPipelineVersion::v3, "v3"},
|
||||
{BlockGemmPipelineVersion::v4, "v4"},
|
||||
{BlockGemmPipelineVersion::v5, "v5"}};
|
||||
|
||||
// clang-format off
|
||||
str << "DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3"
|
||||
<< ">"
|
||||
<< "BlkSize: "
|
||||
<< BlockSize << ", "
|
||||
<< "BlkTile: "
|
||||
<< MPerBlock << ", "
|
||||
<< NPerBlock << ", "
|
||||
<< KPerBlock << ", "
|
||||
<< "WaveTile: "
|
||||
<< MPerWmma << "x"<<NPerWmma << ", "
|
||||
<< "WaveMap: "
|
||||
<< MRepeat << "x" << NRepeat << ", "
|
||||
<< "VmemReadVec: "
|
||||
<< ABlockTransferSrcScalarPerVector << "x" << BBlockTransferSrcScalarPerVector << ", "
|
||||
<< "GemmSpec: "
|
||||
<< getGemmSpecializationString(GemmSpec) << ", "
|
||||
<< "VmemWriteThreadCluster: "
|
||||
<< CDEShuffleBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock::At(I1) << ", "
|
||||
<< CDEShuffleBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock::At(I3) << ", "
|
||||
<< "LayerNormThreadCluster: "
|
||||
<< LayernormThreadClusterSize_M_N::At(I0) << ", "
|
||||
<< LayernormThreadClusterSize_M_N::At(I1) << ", "
|
||||
<< "LayerNormThreadSliceSize: "
|
||||
<< LayernormThreadSliceSize_M << ", "
|
||||
<< "BlkGemmPipelineScheduler: "
|
||||
<< BlkGemmPipelineSchedulerToString[BlkGemmPipeSched] << ", "
|
||||
<< "BlkGemmPipelineVersion: "
|
||||
<< BlkGemmPipelineVersionToString[BlkGemmPipelineVer] << ", "
|
||||
<< "BlkGemmPipelinePrefetchStages: "
|
||||
<< GridwiseGemmWelford::BlockwiseGemmPipe::PrefetchStages << ", "
|
||||
<< "KPack: "
|
||||
<< GridwiseGemmWelford::KPack;
|
||||
// clang-format on
|
||||
|
||||
return str.str();
|
||||
}
|
||||
};
|
||||
|
||||
} // namespace device
|
||||
} // namespace tensor_operation
|
||||
} // namespace ck
|
||||
Reference in New Issue
Block a user