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WMMA support for batched_gemm_reduce (#3332)

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Summary:
- added new device impl of Batched GEMM Reduce for WMMA
- added instance library
- added WMMA impl to the Batched GEMM Reduce tests

[ROCm/composable_kernel commit: b09121f860]
This commit is contained in:
Wojciech Laskowski
2026-01-20 10:50:46 +01:00
committed by GitHub
parent 85c5741492
commit 6ad65bc855
13 changed files with 1345 additions and 78 deletions
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6
library/src/tensor_operation_instance/gpu/batched_gemm_reduce/CMakeLists.txt
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@@ -1,10 +1,14 @@
# Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
# SPDX-License-Identifier: MIT
# ONLY XDL_KERNELS
# ONLY XDL_AND_WMMA_KERNELS
add_instance_library(device_batched_gemm_reduce_instance
device_batched_gemm_reduce_xdl_cshuffle_f16_f16_f16_f32_f32_gmk_gkn_gmn_instance.cpp
device_batched_gemm_reduce_xdl_cshuffle_f16_f16_f16_f32_f32_gmk_gnk_gmn_instance.cpp
device_batched_gemm_reduce_xdl_cshuffle_f16_f16_f16_f32_f32_gkm_gkn_gmn_instance.cpp
device_batched_gemm_reduce_xdl_cshuffle_f16_f16_f16_f32_f32_gkm_gnk_gmn_instance.cpp
device_batched_gemm_reduce_wmma_cshuffle_v3_f16_f16_f16_f32_f32_gmk_gkn_gmn_instance.cpp
device_batched_gemm_reduce_wmma_cshuffle_v3_f16_f16_f16_f32_f32_gmk_gnk_gmn_instance.cpp
device_batched_gemm_reduce_wmma_cshuffle_v3_f16_f16_f16_f32_f32_gkm_gkn_gmn_instance.cpp
device_batched_gemm_reduce_wmma_cshuffle_v3_f16_f16_f16_f32_f32_gkm_gnk_gmn_instance.cpp
)

88
library/src/tensor_operation_instance/gpu/batched_gemm_reduce/device_batched_gemm_reduce_wmma_cshuffle_v3_f16_f16_f16_f32_f32_gkm_gkn_gmn_instance.cpp Normal file
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// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
// SPDX-License-Identifier: MIT
#include <cstdlib>
#include "ck/ck.hpp"
#include "ck/utility/reduction_operator.hpp"
#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
#include "ck/tensor_operation/gpu/device/gemm_specialization.hpp"
#include "ck/tensor_operation/gpu/device/impl/device_batched_gemm_reduce_wmma_cshuffle_v3.hpp"
#include "ck/tensor_operation/gpu/element/element_wise_operation.hpp"
#include "ck/library/tensor_operation_instance/add_device_operation_instance.hpp"
namespace ck {
namespace tensor_operation {
namespace device {
namespace instance {
using F16 = ck::half_t;
using F32 = float;
using ReducePtrsGlobal = ck::Tuple<F32*, F32*>;
using Row = ck::tensor_layout::gemm::RowMajor;
using Col = ck::tensor_layout::gemm::ColumnMajor;
template <ck::index_t... Is>
using S = ck::Sequence<Is...>;
using PassThrough = ck::tensor_operation::element_wise::PassThrough;
using ReduceSum = ck::reduce::Add;
using ReduceOps = ck::Tuple<ReduceSum, ReduceSum>;
using Identity = ck::tensor_operation::element_wise::PassThrough;
using Square = ck::tensor_operation::element_wise::UnarySquare;
using ReduceInElementOps = ck::Tuple<Identity, Square>;
using ReduceOutElementOps = ck::Tuple<Identity, Identity>;
using ReduceMemOp = ck::InMemoryDataOperationEnumSequence<ck::InMemoryDataOperationEnum::AtomicAdd,
ck::InMemoryDataOperationEnum::AtomicAdd>;
static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpecialization::Default;
static constexpr auto Intrawave = BlockGemmPipelineScheduler::Intrawave;
static constexpr auto Interwave = BlockGemmPipelineScheduler::Interwave;
// c[g, m, n] = a[g, k, m] * b[g, k, n]
using device_batched_gemm_reduce_wmma_cshuffle_v3_f16_f16_f16_f32_f32_gkm_gkn_gmn_instances =
std::tuple<
// clang-format off
//#####################################| ALayout| BLayout| ELayout|AData| BData| EData| Acc| CShuffle| ReduceAcc| ReducePtrsGlobal| A| B| C| Reduce| ReduceIn| ReduceAcc| ReduceGlobal| GEMM| Block| MPer| NPer| KPer| AK1| BK1| MPer| NPer| MRepeat| NRepeat| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds| BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| BBlockLds| CShuffle| CShuffle| CDEShuffleBlockTransferClusterLengths| CDEShuffleBlockTransfer| CReduce| CReduceThreadLds2VGprCopy| CReduceThreadVgpr2GlobalCopy| BlkGemm| BlkGemm|
//#####################################| | | | Type| Type| Type| DataType| DataType| DataType| | Elementwise| Elementwise| Elementwise| Operation| Elementwise| Elementwise| MemoryData| Specialization| Size| Block| Block| Block| | | Wmma| Wmma| | | ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN| MRepeat| NRepeat| _MBlock_MPerBlock| ScalarPerVector| ThreadClusterLengths| SrcDstScalarPerVector| SrcDstScalarPerVector| PipeSched| PipelineVer|
//#####################################| | | | | | | | | | | Operation| Operation| Operation| | Operations| Operations| Operation| | | | | | | | | | | | Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| | PerShuffle| PerShuffle| _NBlock_NPerBlock| | _MPerBlock_NPerBlock| _NPerBlock| _MPerBlock| | |
//#####################################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
// v1 Intrawave
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Col, Row, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 256, 128, 32, 2, 2, 16, 16, 8, 2, S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 4, 1, Intrawave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Col, Row, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 128, 256, 32, 2, 2, 16, 16, 2, 8, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 8>, 4, S<64, 4>, 4, 1, Intrawave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Col, Row, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 128, 128, 128, 32, 2, 2, 16, 16, 4, 4, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 4>, 8, S<32, 4>, 4, 1, Intrawave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Col, Row, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 128, 128, 32, 2, 2, 16, 16, 4, 2, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 4, 1, Intrawave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Col, Row, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 128, 64, 128, 32, 2, 2, 16, 16, 2, 4, S<8, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 4>, 8, S<32, 4>, 4, 1, Intrawave, BlockGemmPipelineVersion::v1>,
// v1 Interwave
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Col, Row, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 256, 128, 32, 2, 2, 16, 16, 8, 2, S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 4, 1, Interwave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Col, Row, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 128, 256, 32, 2, 2, 16, 16, 2, 8, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 8>, 4, S<64, 4>, 4, 1, Interwave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Col, Row, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 128, 128, 128, 32, 2, 2, 16, 16, 4, 4, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 4>, 8, S<32, 4>, 4, 1, Interwave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Col, Row, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 128, 128, 32, 2, 2, 16, 16, 4, 2, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 4, 1, Interwave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Col, Row, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 128, 64, 128, 32, 2, 2, 16, 16, 2, 4, S<8, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 4>, 8, S<32, 4>, 4, 1, Interwave, BlockGemmPipelineVersion::v1>,
// v3 Intrawave
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Col, Row, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 256, 128, 32, 2, 2, 16, 16, 8, 2, S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 4, 1, Intrawave, BlockGemmPipelineVersion::v3>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Col, Row, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 128, 256, 32, 2, 2, 16, 16, 2, 8, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 8>, 4, S<64, 4>, 4, 1, Intrawave, BlockGemmPipelineVersion::v3>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Col, Row, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 128, 128, 128, 32, 2, 2, 16, 16, 4, 4, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 4>, 8, S<32, 4>, 4, 1, Intrawave, BlockGemmPipelineVersion::v3>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Col, Row, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 128, 128, 32, 2, 2, 16, 16, 4, 2, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 4, 1, Intrawave, BlockGemmPipelineVersion::v3>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Col, Row, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 128, 64, 128, 32, 2, 2, 16, 16, 2, 4, S<8, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 4>, 8, S<32, 4>, 4, 1, Intrawave, BlockGemmPipelineVersion::v3>
// clang-format on
>;
void add_device_batched_gemm_reduce_wmma_cshuffle_v3_f16_f16_f16_f32_f32_gkm_gkn_gmn_instances(
std::vector<DeviceGemmReducePtr<0, ReducePtrsGlobal::Size()>>& instances)
{
add_device_operation_instances(
instances,
device_batched_gemm_reduce_wmma_cshuffle_v3_f16_f16_f16_f32_f32_gkm_gkn_gmn_instances{});
}
} // namespace instance
} // namespace device
} // namespace tensor_operation
} // namespace ck

88
library/src/tensor_operation_instance/gpu/batched_gemm_reduce/device_batched_gemm_reduce_wmma_cshuffle_v3_f16_f16_f16_f32_f32_gkm_gnk_gmn_instance.cpp Normal file
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// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
// SPDX-License-Identifier: MIT
#include <cstdlib>
#include "ck/ck.hpp"
#include "ck/utility/reduction_operator.hpp"
#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
#include "ck/tensor_operation/gpu/device/gemm_specialization.hpp"
#include "ck/tensor_operation/gpu/device/impl/device_batched_gemm_reduce_wmma_cshuffle_v3.hpp"
#include "ck/tensor_operation/gpu/element/element_wise_operation.hpp"
#include "ck/library/tensor_operation_instance/add_device_operation_instance.hpp"
namespace ck {
namespace tensor_operation {
namespace device {
namespace instance {
using F16 = ck::half_t;
using F32 = float;
using ReducePtrsGlobal = ck::Tuple<F32*, F32*>;
using Row = ck::tensor_layout::gemm::RowMajor;
using Col = ck::tensor_layout::gemm::ColumnMajor;
template <ck::index_t... Is>
using S = ck::Sequence<Is...>;
using PassThrough = ck::tensor_operation::element_wise::PassThrough;
using ReduceSum = ck::reduce::Add;
using ReduceOps = ck::Tuple<ReduceSum, ReduceSum>;
using Identity = ck::tensor_operation::element_wise::PassThrough;
using Square = ck::tensor_operation::element_wise::UnarySquare;
using ReduceInElementOps = ck::Tuple<Identity, Square>;
using ReduceOutElementOps = ck::Tuple<Identity, Identity>;
using ReduceMemOp = ck::InMemoryDataOperationEnumSequence<ck::InMemoryDataOperationEnum::AtomicAdd,
ck::InMemoryDataOperationEnum::AtomicAdd>;
static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpecialization::Default;
static constexpr auto Intrawave = BlockGemmPipelineScheduler::Intrawave;
static constexpr auto Interwave = BlockGemmPipelineScheduler::Interwave;
// c[g, m, n] = a[g, k, m] * b[g, n, k]
using device_batched_gemm_reduce_wmma_cshuffle_v3_f16_f16_f16_f32_f32_gkm_gnk_gmn_instances =
std::tuple<
// clang-format off
//#####################################| ALayout| BLayout| ELayout|AData| BData| EData| Acc| CShuffle| ReduceAcc| ReducePtrsGlobal| A| B| C| Reduce| ReduceIn| ReduceAcc| ReduceGlobal| GEMM| Block| MPer| NPer| KPer| AK1| BK1| MPer| NPer| MRepeat| NRepeat| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds| BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| BBlockLds| CShuffle| CShuffle| CDEShuffleBlockTransferClusterLengths| CDEShuffleBlockTransfer| CReduce| CReduceThreadLds2VGprCopy| CReduceThreadVgpr2GlobalCopy| BlkGemm| BlkGemm|
//#####################################| | | | Type| Type| Type| DataType| DataType| DataType| | Elementwise| Elementwise| Elementwise| Operation| Elementwise| Elementwise| MemoryData| Specialization| Size| Block| Block| Block| | | Wmma| Wmma| | | ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN| MRepeat| NRepeat| _MBlock_MPerBlock| ScalarPerVector| ThreadClusterLengths| SrcDstScalarPerVector| SrcDstScalarPerVector| PipeSched| PipelineVer|
//#####################################| | | | | | | | | | | Operation| Operation| Operation| | Operations| Operations| Operation| | | | | | | | | | | | Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| | PerShuffle| PerShuffle| _NBlock_NPerBlock| | _MPerBlock_NPerBlock| _NPerBlock| _MPerBlock| | |
//#####################################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
// v1 Intrawave
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Col, Col, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 256, 128, 32, 2, 2, 16, 16, 8, 2, S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 4, 1, Intrawave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Col, Col, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 128, 256, 32, 2, 2, 16, 16, 2, 8, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, 1, 1, S<1, 32, 1, 8>, 4, S<64, 4>, 4, 1, Intrawave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Col, Col, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 128, 128, 128, 32, 2, 2, 16, 16, 4, 4, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<4, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, 1, 1, S<1, 32, 1, 4>, 8, S<32, 4>, 4, 1, Intrawave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Col, Col, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 128, 128, 32, 2, 2, 16, 16, 4, 2, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 4, 1, Intrawave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Col, Col, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 128, 64, 128, 32, 2, 2, 16, 16, 2, 4, S<8, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<4, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, 1, 1, S<1, 32, 1, 4>, 8, S<32, 4>, 4, 1, Intrawave, BlockGemmPipelineVersion::v1>,
// v1 Interwave
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Col, Col, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 256, 128, 32, 2, 2, 16, 16, 8, 2, S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 4, 1, Interwave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Col, Col, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 128, 256, 32, 2, 2, 16, 16, 2, 8, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, 1, 1, S<1, 32, 1, 8>, 4, S<64, 4>, 4, 1, Interwave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Col, Col, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 128, 128, 128, 32, 2, 2, 16, 16, 4, 4, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<4, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, 1, 1, S<1, 32, 1, 4>, 8, S<32, 4>, 4, 1, Interwave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Col, Col, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 128, 128, 32, 2, 2, 16, 16, 4, 2, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 4, 1, Interwave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Col, Col, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 128, 64, 128, 32, 2, 2, 16, 16, 2, 4, S<8, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<4, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, 1, 1, S<1, 32, 1, 4>, 8, S<32, 4>, 4, 1, Interwave, BlockGemmPipelineVersion::v1>,
// v3 Intrawave
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Col, Col, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 256, 128, 32, 2, 2, 16, 16, 8, 2, S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 4, 1, Intrawave, BlockGemmPipelineVersion::v3>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Col, Col, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 128, 256, 32, 2, 2, 16, 16, 2, 8, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, 1, 1, S<1, 32, 1, 8>, 4, S<64, 4>, 4, 1, Intrawave, BlockGemmPipelineVersion::v3>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Col, Col, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 128, 128, 128, 32, 2, 2, 16, 16, 4, 4, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<4, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, 1, 1, S<1, 32, 1, 4>, 8, S<32, 4>, 4, 1, Intrawave, BlockGemmPipelineVersion::v3>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Col, Col, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 128, 128, 32, 2, 2, 16, 16, 4, 2, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 4, 1, Intrawave, BlockGemmPipelineVersion::v3>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Col, Col, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 128, 64, 128, 32, 2, 2, 16, 16, 2, 4, S<8, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<4, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, 1, 1, S<1, 32, 1, 4>, 8, S<32, 4>, 4, 1, Intrawave, BlockGemmPipelineVersion::v3>
// clang-format on
>;
void add_device_batched_gemm_reduce_wmma_cshuffle_v3_f16_f16_f16_f32_f32_gkm_gnk_gmn_instances(
std::vector<DeviceGemmReducePtr<0, ReducePtrsGlobal::Size()>>& instances)
{
add_device_operation_instances(
instances,
device_batched_gemm_reduce_wmma_cshuffle_v3_f16_f16_f16_f32_f32_gkm_gnk_gmn_instances{});
}
} // namespace instance
} // namespace device
} // namespace tensor_operation
} // namespace ck

87
library/src/tensor_operation_instance/gpu/batched_gemm_reduce/device_batched_gemm_reduce_wmma_cshuffle_v3_f16_f16_f16_f32_f32_gmk_gkn_gmn_instance.cpp Normal file
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// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
// SPDX-License-Identifier: MIT
#include <cstdlib>
#include "ck/ck.hpp"
#include "ck/utility/reduction_operator.hpp"
#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
#include "ck/tensor_operation/gpu/device/gemm_specialization.hpp"
#include "ck/tensor_operation/gpu/device/impl/device_batched_gemm_reduce_wmma_cshuffle_v3.hpp"
#include "ck/tensor_operation/gpu/element/element_wise_operation.hpp"
#include "ck/library/tensor_operation_instance/add_device_operation_instance.hpp"
namespace ck {
namespace tensor_operation {
namespace device {
namespace instance {
using F16 = ck::half_t;
using F32 = float;
using ReducePtrsGlobal = ck::Tuple<F32*, F32*>;
using Row = ck::tensor_layout::gemm::RowMajor;
template <ck::index_t... Is>
using S = ck::Sequence<Is...>;
using PassThrough = ck::tensor_operation::element_wise::PassThrough;
using ReduceSum = ck::reduce::Add;
using ReduceOps = ck::Tuple<ReduceSum, ReduceSum>;
using Identity = ck::tensor_operation::element_wise::PassThrough;
using Square = ck::tensor_operation::element_wise::UnarySquare;
using ReduceInElementOps = ck::Tuple<Identity, Square>;
using ReduceOutElementOps = ck::Tuple<Identity, Identity>;
using ReduceMemOp = ck::InMemoryDataOperationEnumSequence<ck::InMemoryDataOperationEnum::AtomicAdd,
ck::InMemoryDataOperationEnum::AtomicAdd>;
static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpecialization::Default;
static constexpr auto Intrawave = BlockGemmPipelineScheduler::Intrawave;
static constexpr auto Interwave = BlockGemmPipelineScheduler::Interwave;
// c[g, m, n] = a[g, m, k] * b[g, k, n]
using device_batched_gemm_reduce_wmma_cshuffle_v3_f16_f16_f16_f32_f32_gmk_gkn_gmn_instances =
std::tuple<
// clang-format off
//#####################################| ALayout| BLayout| ELayout|AData| BData| EData| Acc| CShuffle| ReduceAcc| ReducePtrsGlobal| A| B| C| Reduce| ReduceIn| ReduceAcc| ReduceGlobal| GEMM| Block| MPer| NPer| KPer| AK1| BK1| MPer| NPer| MRepeat| NRepeat| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds| BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| BBlockLds| CShuffle| CShuffle| CDEShuffleBlockTransferClusterLengths| CDEShuffleBlockTransfer| CReduce| CReduceThreadLds2VGprCopy| CReduceThreadVgpr2GlobalCopy| BlkGemm| BlkGemm|
//#####################################| | | | Type| Type| Type| DataType| DataType| DataType| | Elementwise| Elementwise| Elementwise| Operation| Elementwise| Elementwise| MemoryData| Specialization| Size| Block| Block| Block| | | Wmma| Wmma| | | ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN| MRepeat| NRepeat| _MBlock_MPerBlock| ScalarPerVector| ThreadClusterLengths| SrcDstScalarPerVector| SrcDstScalarPerVector| PipeSched| PipelineVer|
//#####################################| | | | | | | | | | | Operation| Operation| Operation| | Operations| Operations| Operation| | | | | | | | | | | | Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| | PerShuffle| PerShuffle| _NBlock_NPerBlock| | _MPerBlock_NPerBlock| _NPerBlock| _MPerBlock| | |
//#####################################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
// v1 Intrawave
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Row, Row, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 256, 128, 32, 2, 2, 16, 16, 8, 2, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 4, 1, Intrawave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Row, Row, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 128, 256, 32, 2, 2, 16, 16, 2, 8, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 8>, 4, S<64, 4>, 4, 1, Intrawave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Row, Row, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 128, 128, 128, 32, 2, 2, 16, 16, 4, 4, S<4, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 4>, 8, S<32, 4>, 4, 1, Intrawave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Row, Row, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 128, 128, 32, 2, 2, 16, 16, 4, 2, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 4, 1, Intrawave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Row, Row, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 128, 64, 128, 32, 2, 2, 16, 16, 2, 4, S<4, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 4>, 8, S<32, 4>, 4, 1, Intrawave, BlockGemmPipelineVersion::v1>,
// v1 Interwave
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Row, Row, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 256, 128, 32, 2, 2, 16, 16, 8, 2, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 4, 1, Interwave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Row, Row, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 128, 256, 32, 2, 2, 16, 16, 2, 8, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 8>, 4, S<64, 4>, 4, 1, Interwave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Row, Row, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 128, 128, 128, 32, 2, 2, 16, 16, 4, 4, S<4, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 4>, 8, S<32, 4>, 4, 1, Interwave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Row, Row, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 128, 128, 32, 2, 2, 16, 16, 4, 2, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 4, 1, Interwave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Row, Row, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 128, 64, 128, 32, 2, 2, 16, 16, 2, 4, S<4, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 4>, 8, S<32, 4>, 4, 1, Interwave, BlockGemmPipelineVersion::v1>,
// v3 Intrawave
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Row, Row, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 256, 128, 32, 2, 2, 16, 16, 8, 2, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 4, 1, Intrawave, BlockGemmPipelineVersion::v3>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Row, Row, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 128, 256, 32, 2, 2, 16, 16, 2, 8, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 8>, 4, S<64, 4>, 4, 1, Intrawave, BlockGemmPipelineVersion::v3>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Row, Row, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 128, 128, 128, 32, 2, 2, 16, 16, 4, 4, S<4, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 4>, 8, S<32, 4>, 4, 1, Intrawave, BlockGemmPipelineVersion::v3>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Row, Row, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 128, 128, 32, 2, 2, 16, 16, 4, 2, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 4, 1, Intrawave, BlockGemmPipelineVersion::v3>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Row, Row, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 128, 64, 128, 32, 2, 2, 16, 16, 2, 4, S<4, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 4>, 8, S<32, 4>, 4, 1, Intrawave, BlockGemmPipelineVersion::v3>
// clang-format on
>;
void add_device_batched_gemm_reduce_wmma_cshuffle_v3_f16_f16_f16_f32_f32_gmk_gkn_gmn_instances(
std::vector<DeviceGemmReducePtr<0, ReducePtrsGlobal::Size()>>& instances)
{
add_device_operation_instances(
instances,
device_batched_gemm_reduce_wmma_cshuffle_v3_f16_f16_f16_f32_f32_gmk_gkn_gmn_instances{});
}
} // namespace instance
} // namespace device
} // namespace tensor_operation
} // namespace ck

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library/src/tensor_operation_instance/gpu/batched_gemm_reduce/device_batched_gemm_reduce_wmma_cshuffle_v3_f16_f16_f16_f32_f32_gmk_gnk_gmn_instance.cpp Normal file
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// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
// SPDX-License-Identifier: MIT
#include <cstdlib>
#include "ck/ck.hpp"
#include "ck/utility/reduction_operator.hpp"
#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
#include "ck/tensor_operation/gpu/device/gemm_specialization.hpp"
#include "ck/tensor_operation/gpu/device/impl/device_batched_gemm_reduce_wmma_cshuffle_v3.hpp"
#include "ck/tensor_operation/gpu/element/element_wise_operation.hpp"
#include "ck/library/tensor_operation_instance/add_device_operation_instance.hpp"
namespace ck {
namespace tensor_operation {
namespace device {
namespace instance {
using F16 = ck::half_t;
using F32 = float;
using ReducePtrsGlobal = ck::Tuple<F32*, F32*>;
using Row = ck::tensor_layout::gemm::RowMajor;
using Col = ck::tensor_layout::gemm::ColumnMajor;
template <ck::index_t... Is>
using S = ck::Sequence<Is...>;
using PassThrough = ck::tensor_operation::element_wise::PassThrough;
using ReduceSum = ck::reduce::Add;
using ReduceOps = ck::Tuple<ReduceSum, ReduceSum>;
using Identity = ck::tensor_operation::element_wise::PassThrough;
using Square = ck::tensor_operation::element_wise::UnarySquare;
using ReduceInElementOps = ck::Tuple<Identity, Square>;
using ReduceOutElementOps = ck::Tuple<Identity, Identity>;
using ReduceMemOp = ck::InMemoryDataOperationEnumSequence<ck::InMemoryDataOperationEnum::AtomicAdd,
ck::InMemoryDataOperationEnum::AtomicAdd>;
static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpecialization::Default;
static constexpr auto Intrawave = BlockGemmPipelineScheduler::Intrawave;
static constexpr auto Interwave = BlockGemmPipelineScheduler::Interwave;
// c[g, m, n] = a[g, m, k] * b[g, n, k]
using device_batched_gemm_reduce_wmma_cshuffle_v3_f16_f16_f16_f32_f32_gmk_gnk_gmn_instances =
std::tuple<
// clang-format off
//#####################################| ALayout| BLayout| ELayout|AData| BData| EData| Acc| CShuffle| ReduceAcc| ReducePtrsGlobal| A| B| C| Reduce| ReduceIn| ReduceAcc| ReduceGlobal| GEMM| Block| MPer| NPer| KPer| AK1| BK1| MPer| NPer| MRepeat| NRepeat| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds| BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| BBlockLds| CShuffle| CShuffle| CDEShuffleBlockTransferClusterLengths| CDEShuffleBlockTransfer| CReduce| CReduceThreadLds2VGprCopy| CReduceThreadVgpr2GlobalCopy| BlkGemm| BlkGemm|
//#####################################| | | | Type| Type| Type| DataType| DataType| DataType| | Elementwise| Elementwise| Elementwise| Operation| Elementwise| Elementwise| MemoryData| Specialization| Size| Block| Block| Block| | | Wmma| Wmma| | | ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN| MRepeat| NRepeat| _MBlock_MPerBlock| ScalarPerVector| ThreadClusterLengths| SrcDstScalarPerVector| SrcDstScalarPerVector| PipeSched| PipelineVer|
//#####################################| | | | | | | | | | | Operation| Operation| Operation| | Operations| Operations| Operation| | | | | | | | | | | | Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| | PerShuffle| PerShuffle| _NBlock_NPerBlock| | _MPerBlock_NPerBlock| _NPerBlock| _MPerBlock| | |
//#####################################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
// v1 Intrawave
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Row, Col, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 256, 128, 32, 8, 8, 16, 16, 8, 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, S<32, 8>, 4, 1, Intrawave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Row, Col, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 128, 256, 32, 8, 8, 16, 16, 2, 8, 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>, 4, S<64, 4>, 4, 1, Intrawave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Row, Col, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 128, 128, 128, 32, 8, 8, 16, 16, 4, 4, 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, 32, 1, 4>, 8, S<32, 4>, 4, 1, Intrawave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Row, Col, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 128, 128, 32, 8, 8, 16, 16, 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, S<32, 8>, 4, 1, Intrawave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Row, Col, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 64, 64, 64, 32, 8, 8, 16, 16, 4, 2, S<4, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, S<4, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, 1, 1, S<1, 16, 1, 4>, 8, S<16, 4>, 4, 1, Intrawave, BlockGemmPipelineVersion::v1>,
// v1 Interwave
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Row, Col, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 256, 128, 32, 8, 8, 16, 16, 8, 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, S<32, 8>, 4, 1, Interwave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Row, Col, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 128, 256, 32, 8, 8, 16, 16, 2, 8, 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>, 4, S<64, 4>, 4, 1, Interwave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Row, Col, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 128, 128, 128, 32, 8, 8, 16, 16, 4, 4, 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, 32, 1, 4>, 8, S<32, 4>, 4, 1, Interwave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Row, Col, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 128, 128, 32, 8, 8, 16, 16, 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, S<32, 8>, 4, 1, Interwave, BlockGemmPipelineVersion::v1>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Row, Col, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 64, 64, 64, 32, 8, 8, 16, 16, 4, 2, S<4, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, S<4, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, 1, 1, S<1, 16, 1, 4>, 8, S<16, 4>, 4, 1, Interwave, BlockGemmPipelineVersion::v1>,
// v3 Intrawave
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Row, Col, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 256, 128, 32, 8, 8, 16, 16, 8, 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, S<32, 8>, 4, 1, Intrawave, BlockGemmPipelineVersion::v3>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Row, Col, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 128, 256, 32, 8, 8, 16, 16, 2, 8, 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>, 4, S<64, 4>, 4, 1, Intrawave, BlockGemmPipelineVersion::v3>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Row, Col, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 128, 128, 128, 32, 8, 8, 16, 16, 4, 4, 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, 32, 1, 4>, 8, S<32, 4>, 4, 1, Intrawave, BlockGemmPipelineVersion::v3>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Row, Col, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 256, 128, 128, 32, 8, 8, 16, 16, 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, S<32, 8>, 4, 1, Intrawave, BlockGemmPipelineVersion::v3>,
DeviceBatchedGemmReduce_Wmma_CShuffleV3< Row, Col, Row, F16, F16, F16, F32, F32, F32, ReducePtrsGlobal, PassThrough, PassThrough, PassThrough, ReduceOps, ReduceInElementOps, ReduceOutElementOps, ReduceMemOp, GemmDefault, 64, 64, 64, 32, 8, 8, 16, 16, 4, 2, S<4, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, S<4, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, 1, 1, S<1, 16, 1, 4>, 8, S<16, 4>, 4, 1, Intrawave, BlockGemmPipelineVersion::v3>
// clang-format on
>;
void add_device_batched_gemm_reduce_wmma_cshuffle_v3_f16_f16_f16_f32_f32_gmk_gnk_gmn_instances(
std::vector<DeviceGemmReducePtr<0, ReducePtrsGlobal::Size()>>& instances)
{
add_device_operation_instances(
instances,
device_batched_gemm_reduce_wmma_cshuffle_v3_f16_f16_f16_f32_f32_gmk_gnk_gmn_instances{});
}
} // namespace instance
} // namespace device
} // namespace tensor_operation
} // namespace ck

2
library/src/tensor_operation_instance/gpu/batched_gemm_reduce/device_batched_gemm_reduce_xdl_cshuffle_f16_f16_f16_f32_f32_gkm_gkn_gmn_instance.cpp
View File

@@ -39,7 +39,7 @@ using ReduceMemOp = ck::InMemoryDataOperationEnumSequence<ck::InMemoryDataOperat
static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpecialization::Default;
// c[g, m, n] = a[g, m, k] * b[g, n, k]
// c[g, m, n] = a[g, k, m] * b[g, k, n]
using device_batched_gemm_reduce_xdl_cshuffle_f16_f16_f16_f32_f32_gkm_gkn_gmn_instances =
std::tuple<
// clang-format off

2
library/src/tensor_operation_instance/gpu/batched_gemm_reduce/device_batched_gemm_reduce_xdl_cshuffle_f16_f16_f16_f32_f32_gkm_gnk_gmn_instance.cpp
View File

@@ -39,7 +39,7 @@ using ReduceMemOp = ck::InMemoryDataOperationEnumSequence<ck::InMemoryDataOperat
static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpecialization::Default;
// c[g, m, n] = a[g, m, k] * b[g, n, k]
// c[g, m, n] = a[g, k, m] * b[g, n, k]
using device_batched_gemm_reduce_xdl_cshuffle_f16_f16_f16_f32_f32_gkm_gnk_gmn_instances =
std::tuple<
// clang-format off

2
library/src/tensor_operation_instance/gpu/batched_gemm_reduce/device_batched_gemm_reduce_xdl_cshuffle_f16_f16_f16_f32_f32_gmk_gkn_gmn_instance.cpp
View File

@@ -39,7 +39,7 @@ using ReduceMemOp = ck::InMemoryDataOperationEnumSequence<ck::InMemoryDataOperat
static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpecialization::Default;
// c[g, m, n] = a[g, m, k] * b[g, n, k]
// c[g, m, n] = a[g, m, k] * b[g, k, n]
using device_batched_gemm_reduce_xdl_cshuffle_f16_f16_f16_f32_f32_gmk_gkn_gmn_instances =
std::tuple<
// clang-format off