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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
[ROCm/composable_kernel commit: 4ebc48a3cd]
This commit is contained in:
Enrico Degregori
@@ -1,7 +1,12 @@
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# ONLY XDL_KERNELS
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# ONLY XDL_AND_WMMA_KERNELS
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add_instance_library(device_gemm_add_relu_add_layernorm_instance
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device_gemm_add_relu_add_xdl_c_shuffle_layernorm_f16_km_kn_mn_mn_mn_instance.cpp
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device_gemm_add_relu_add_xdl_c_shuffle_layernorm_f16_km_nk_mn_mn_mn_instance.cpp
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device_gemm_add_relu_add_xdl_c_shuffle_layernorm_f16_mk_kn_mn_mn_mn_instance.cpp
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device_gemm_add_relu_add_xdl_c_shuffle_layernorm_f16_mk_nk_mn_mn_mn_instance.cpp
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device_gemm_add_relu_add_wmma_c_shuffle_layernorm_f16_km_kn_mn_mn_mn_instance.cpp
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device_gemm_add_relu_add_wmma_c_shuffle_layernorm_f16_km_nk_mn_mn_mn_instance.cpp
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device_gemm_add_relu_add_wmma_c_shuffle_layernorm_f16_mk_kn_mn_mn_mn_instance.cpp
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device_gemm_add_relu_add_wmma_c_shuffle_layernorm_f16_mk_nk_mn_mn_mn_instance.cpp
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)
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@@ -0,0 +1,108 @@
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2025, Advanced Micro Devices, Inc. All rights reserved.
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#include "ck/ck.hpp"
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#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
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#include "ck/tensor_operation/gpu/device/gemm_specialization.hpp"
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#include "ck/tensor_operation/gpu/device/impl/device_gemm_multiple_d_layernorm_wmma_cshuffle_v3.hpp"
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#include "ck/tensor_operation/gpu/element/element_wise_operation.hpp"
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#include "ck/library/tensor_operation_instance/add_device_operation_instance.hpp"
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namespace ck {
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namespace tensor_operation {
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namespace device {
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namespace instance {
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using F16 = ck::half_t;
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using F32 = float;
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using F16_F16_Tuple = ck::Tuple<F16, F16>;
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using Row = ck::tensor_layout::gemm::RowMajor;
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using Col = ck::tensor_layout::gemm::ColumnMajor;
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using Row_Row_Tuple = ck::Tuple<Row, Row>;
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template <ck::index_t... Is>
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using S = ck::Sequence<Is...>;
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using PassThrough = ck::tensor_operation::element_wise::PassThrough;
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using AddReluAdd = ck::tensor_operation::element_wise::AddReluAdd;
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static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpecialization::Default;
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static constexpr auto GemmMNKPadding = ck::tensor_operation::device::GemmSpecialization::MNKPadding;
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// e = elementwise((a * b), d0, d1)
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// h = layernorm(e, gamma, beta)
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// output: h[m, n]
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// input: a[k, m], b[k, n], d0[m, n], d1[m, n], gamma[n], beta[n]
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template <BlockGemmPipelineScheduler GemmLoopScheduler, BlockGemmPipelineVersion GemmPipeline>
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using device_gemm_add_relu_add_wmma_c_shuffle_layernorm_f16_km_kn_mn_mn_mn_instances = std::tuple<
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// clang-format off
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//##########################################| A| B| Ds| H| AData| BData| DsData| HData| AccData| CShuffleData | EMeanVarData| GammaData| BetaData| A| B| CDE| H| 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| CShuffleBlockTransfer| CDEShuffleBlockTransfer| Layernorm| Layernorm| LoopScheduler| Pipeline|
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//##########################################| Layout| Layout| Layout| Layout| Type| Type| Type| Type| Type| Type | Type| Type| Type| Elementwise| Elementwise| Elementwise| Elementwise| Specialization| Size| Block| Block| Block| | | Wmma| Wmma| | | ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN| MRepeat| NRepeat| ClusterLengths| ScalarPerVectors| ThreadClusterLengths| ThreadSliceSize| | |
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//##########################################| | | | | | | | | | | | | | Operation| Operation| Operation| Operation| | | | | | | | | | | | Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_BK1| | PerShuffle| PerShuffle| _MBlock_MPerBlock| | _M_N| _M| | |
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//##########################################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | _NBlock_NPerBlock| | | | | |
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DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, 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>, 1, GemmLoopScheduler, GemmPipeline>,
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DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 256, 256, 128, 32, 8, 8, 16, 16, 8, 2, S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 8, 1, S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 1, GemmLoopScheduler, GemmPipeline>,
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DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 256, 128, 256, 32, 2, 2, 16, 16, 4, 4, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 1, GemmLoopScheduler, GemmPipeline>,
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DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 256, 128, 256, 32, 8, 8, 16, 16, 4, 4, S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1, S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 8, 1, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 1, GemmLoopScheduler, GemmPipeline>,
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DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 128, 128, 128, 32, 2, 2, 16, 16, 8, 2, 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, 16, 1, 8>, 8, S<16, 8>, 1, GemmLoopScheduler, GemmPipeline>,
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DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 128, 128, 128, 32, 8, 8, 16, 16, 8, 2, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 8, 1, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 8, 1, 1, 1, S<1, 16, 1, 8>, 8, S<16, 8>, 1, GemmLoopScheduler, GemmPipeline>,
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DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, 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>, 1, GemmLoopScheduler, GemmPipeline>,
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DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 256, 128, 128, 32, 8, 8, 16, 16, 4, 2, S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1, S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 1, GemmLoopScheduler, GemmPipeline>,
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DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 128, 128, 64, 32, 2, 2, 16, 16, 4, 2, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<4, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 4>, 8, S<32, 4>, 1, GemmLoopScheduler, GemmPipeline>,
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DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 128, 128, 64, 32, 8, 8, 16, 16, 4, 2, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 8, 1, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1, 1, 1, S<1, 32, 1, 4>, 8, S<32, 4>, 1, GemmLoopScheduler, GemmPipeline>,
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DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 128, 64, 128, 32, 2, 2, 16, 16, 4, 2, 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, 16, 1, 8>, 8, S<16, 8>, 1, GemmLoopScheduler, GemmPipeline>,
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DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 128, 64, 128, 32, 8, 8, 16, 16, 4, 2, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 8, 1, 1, 1, S<1, 16, 1, 8>, 8, S<16, 8>, 1, GemmLoopScheduler, GemmPipeline>,
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DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 256, 128, 64, 32, 2, 2, 16, 16, 4, 1, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<16, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 1, GemmLoopScheduler, GemmPipeline>,
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DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 256, 128, 64, 32, 8, 8, 16, 16, 4, 1, S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1, S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 8, 1, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 1, GemmLoopScheduler, GemmPipeline>,
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DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 256, 64, 128, 32, 2, 2, 16, 16, 2, 2, S<16, 16, 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>, 1, GemmLoopScheduler, GemmPipeline>,
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DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 256, 64, 128, 32, 8, 8, 16, 16, 2, 2, S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 8, 1, S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 1, GemmLoopScheduler, GemmPipeline>
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// clang-format on
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>;
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// irregular tile size
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template <BlockGemmPipelineScheduler GemmLoopScheduler, BlockGemmPipelineVersion GemmPipeline>
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using device_gemm_add_relu_add_wmma_c_shuffle_layernorm_f16_km_kn_mn_mn_mn_irregular_tile_instances =
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std::tuple<
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// clang-format off
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//##########################################| A| B| Ds| H| AData| BData| DsData| HData| AccData| CShuffleData | EMeanVarData| GammaData| BetaData| A| B| CDE| H| 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| CShuffleBlockTransfer| CDEShuffleBlockTransfer| Layernorm| Layernorm| LoopScheduler| Pipeline|
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//##########################################| Layout| Layout| Layout| Layout| Type| Type| Type| Type| Type| Type | Type| Type| Type| Elementwise| Elementwise| Elementwise| Elementwise| Specialization| Size| Block| Block| Block| | | Wmma| Wmma| | | ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN| MRepeat| NRepeat| ClusterLengths| ScalarPerVectors| ThreadClusterLengths| ThreadSliceSize| | |
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//##########################################| | | | | | | | | | | | | | Operation| Operation| Operation| Operation| | | | | | | | | | | | Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_BK1| | PerShuffle| PerShuffle| _MBlock_MPerBlock| | _M_N| _M| | |
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//##########################################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | _NBlock_NPerBlock| | | | | |
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DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmMNKPadding, 64, 32, 32, 32, 8, 8, 16, 16, 2, 1, S<4, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 8, 1, S<4, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 8, 1, 1, 1, S<1, 16, 1, 4>, 1, S<16, 4>, 1, GemmLoopScheduler, GemmPipeline>
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// clang-format on
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>;
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void add_device_gemm_add_relu_add_wmma_c_shuffle_layernorm_f16_km_kn_mn_mn_mn_instances(
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std::vector<std::unique_ptr<DeviceGemmMultipleDLayernorm<Col,
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Row,
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Row_Row_Tuple,
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Row,
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F16,
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F16,
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F16_F16_Tuple,
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F16,
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F16,
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F16,
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PassThrough,
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PassThrough,
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AddReluAdd,
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PassThrough>>>& instances)
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{
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add_device_operation_instances(
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instances,
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device_gemm_add_relu_add_wmma_c_shuffle_layernorm_f16_km_kn_mn_mn_mn_instances<
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BlockGemmPipelineScheduler::Intrawave,
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BlockGemmPipelineVersion::v1>{});
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add_device_operation_instances(
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instances,
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device_gemm_add_relu_add_wmma_c_shuffle_layernorm_f16_km_kn_mn_mn_mn_irregular_tile_instances<
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BlockGemmPipelineScheduler::Intrawave,
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BlockGemmPipelineVersion::v1>{});
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}
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} // namespace instance
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} // namespace device
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} // namespace tensor_operation
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} // namespace ck
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@@ -0,0 +1,108 @@
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2025, Advanced Micro Devices, Inc. All rights reserved.
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#include "ck/ck.hpp"
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#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
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#include "ck/tensor_operation/gpu/device/gemm_specialization.hpp"
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#include "ck/tensor_operation/gpu/device/impl/device_gemm_multiple_d_layernorm_wmma_cshuffle_v3.hpp"
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#include "ck/tensor_operation/gpu/element/element_wise_operation.hpp"
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#include "ck/library/tensor_operation_instance/add_device_operation_instance.hpp"
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namespace ck {
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namespace tensor_operation {
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namespace device {
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namespace instance {
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using F16 = ck::half_t;
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using F32 = float;
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using F16_F16_Tuple = ck::Tuple<F16, F16>;
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using Row = ck::tensor_layout::gemm::RowMajor;
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using Col = ck::tensor_layout::gemm::ColumnMajor;
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using Row_Row_Tuple = ck::Tuple<Row, Row>;
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template <ck::index_t... Is>
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using S = ck::Sequence<Is...>;
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using PassThrough = ck::tensor_operation::element_wise::PassThrough;
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using AddReluAdd = ck::tensor_operation::element_wise::AddReluAdd;
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static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpecialization::Default;
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static constexpr auto GemmMNKPadding = ck::tensor_operation::device::GemmSpecialization::MNKPadding;
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// e = elementwise((a * b), d0, d1)
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// h = layernorm(e, gamma, beta)
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// output: h[m, n]
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// input: a[k, m], b[k, n], d0[m, n], d1[m, n], gamma[n], beta[n]
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template <BlockGemmPipelineScheduler GemmLoopScheduler, BlockGemmPipelineVersion GemmPipeline>
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using device_gemm_add_relu_add_wmma_c_shuffle_layernorm_f16_km_nk_mn_mn_mn_instances = std::tuple<
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// clang-format off
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//##########################################| A| B| Ds| H| AData| BData| DsData| HData| AccData| CShuffleData | EMeanVarData| GammaData| BetaData| A| B| CDE| H| 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| CShuffleBlockTransfer| CDEShuffleBlockTransfer| Layernorm| Layernorm| LoopScheduler| Pipeline|
|
||||
//##########################################| Layout| Layout| Layout| Layout| Type| Type| Type| Type| Type| Type | Type| Type| Type| Elementwise| Elementwise| Elementwise| Elementwise| Specialization| Size| Block| Block| Block| | | Wmma| Wmma| | | ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN| MRepeat| NRepeat| ClusterLengths| ScalarPerVectors| ThreadClusterLengths| ThreadSliceSize| | |
|
||||
//##########################################| | | | | | | | | | | | | | Operation| Operation| Operation| Operation| | | | | | | | | | | | Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_BK1| | PerShuffle| PerShuffle| _MBlock_MPerBlock| | _M_N| _M| | |
|
||||
//##########################################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | _NBlock_NPerBlock| | | | | |
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Col, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, 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<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Col, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 256, 256, 128, 32, 8, 8, 16, 16, 8, 2, S< 4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 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>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Col, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 256, 128, 256, 32, 2, 2, 16, 16, 4, 4, S< 8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Col, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 256, 128, 256, 32, 8, 8, 16, 16, 4, 4, S< 4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 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>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Col, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 128, 128, 128, 32, 2, 2, 16, 16, 8, 2, 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, 16, 1, 8>, 8, S<16, 8>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Col, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 128, 128, 128, 32, 8, 8, 16, 16, 8, 2, S< 4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 8, 1, S<4, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, 1, 1, S<1, 16, 1, 8>, 8, S<16, 8>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Col, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, 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<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Col, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 256, 128, 128, 32, 8, 8, 16, 16, 4, 2, S< 4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 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>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Col, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 128, 128, 64, 32, 2, 2, 16, 16, 4, 2, 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>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Col, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 128, 128, 64, 32, 8, 8, 16, 16, 4, 2, S< 4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 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>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Col, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 128, 64, 128, 32, 2, 2, 16, 16, 4, 2, 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, 16, 1, 8>, 8, S<16, 8>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Col, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 128, 64, 128, 32, 8, 8, 16, 16, 4, 2, S< 4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1, S<4, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, 1, 1, S<1, 16, 1, 8>, 8, S<16, 8>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Col, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 256, 128, 64, 32, 2, 2, 16, 16, 4, 1, S< 8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Col, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 256, 128, 64, 32, 8, 8, 16, 16, 4, 1, S< 4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 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>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Col, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 256, 64, 128, 32, 2, 2, 16, 16, 2, 2, S<16, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Col, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 256, 64, 128, 32, 8, 8, 16, 16, 2, 2, S< 4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 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>, 1, GemmLoopScheduler, GemmPipeline>
|
||||
// clang-format on
|
||||
>;
|
||||
|
||||
// irregular tile size
|
||||
template <BlockGemmPipelineScheduler GemmLoopScheduler, BlockGemmPipelineVersion GemmPipeline>
|
||||
using device_gemm_add_relu_add_wmma_c_shuffle_layernorm_f16_km_nk_mn_mn_mn_irregular_tile_instances =
|
||||
std::tuple<
|
||||
// clang-format off
|
||||
//##########################################| A| B| Ds| H| AData| BData| DsData| HData| AccData| CShuffleData | EMeanVarData| GammaData| BetaData| A| B| CDE| H| 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| CShuffleBlockTransfer| CDEShuffleBlockTransfer| Layernorm| Layernorm| LoopScheduler| Pipeline|
|
||||
//##########################################| Layout| Layout| Layout| Layout| Type| Type| Type| Type| Type| Type | Type| Type| Type| Elementwise| Elementwise| Elementwise| Elementwise| Specialization| Size| Block| Block| Block| | | Wmma| Wmma| | | ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN| MRepeat| NRepeat| ClusterLengths| ScalarPerVectors| ThreadClusterLengths| ThreadSliceSize| | |
|
||||
//##########################################| | | | | | | | | | | | | | Operation| Operation| Operation| Operation| | | | | | | | | | | | Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_BK1| | PerShuffle| PerShuffle| _MBlock_MPerBlock| | _M_N| _M| | |
|
||||
//##########################################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | _NBlock_NPerBlock| | | | | |
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Col, Col, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmMNKPadding, 64, 32, 32, 32, 8, 8, 16, 16, 2, 1, S<4, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 8, 1, S<4, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 1, 8, 1, 1, 1, S<1, 16, 1, 4>, 1, S<16, 4>, 1, GemmLoopScheduler, GemmPipeline>
|
||||
// clang-format on
|
||||
>;
|
||||
|
||||
void add_device_gemm_add_relu_add_wmma_c_shuffle_layernorm_f16_km_nk_mn_mn_mn_instances(
|
||||
std::vector<std::unique_ptr<DeviceGemmMultipleDLayernorm<Col,
|
||||
Col,
|
||||
Row_Row_Tuple,
|
||||
Row,
|
||||
F16,
|
||||
F16,
|
||||
F16_F16_Tuple,
|
||||
F16,
|
||||
F16,
|
||||
F16,
|
||||
PassThrough,
|
||||
PassThrough,
|
||||
AddReluAdd,
|
||||
PassThrough>>>& instances)
|
||||
{
|
||||
add_device_operation_instances(
|
||||
instances,
|
||||
device_gemm_add_relu_add_wmma_c_shuffle_layernorm_f16_km_nk_mn_mn_mn_instances<
|
||||
BlockGemmPipelineScheduler::Intrawave,
|
||||
BlockGemmPipelineVersion::v1>{});
|
||||
add_device_operation_instances(
|
||||
instances,
|
||||
device_gemm_add_relu_add_wmma_c_shuffle_layernorm_f16_km_nk_mn_mn_mn_irregular_tile_instances<
|
||||
BlockGemmPipelineScheduler::Intrawave,
|
||||
BlockGemmPipelineVersion::v1>{});
|
||||
}
|
||||
|
||||
} // namespace instance
|
||||
} // namespace device
|
||||
} // namespace tensor_operation
|
||||
} // namespace ck
|
||||
@@ -0,0 +1,108 @@
|
||||
// SPDX-License-Identifier: MIT
|
||||
// Copyright (c) 2025, Advanced Micro Devices, Inc. All rights reserved.
|
||||
|
||||
#include "ck/ck.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_gemm_multiple_d_layernorm_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 F16_F16_Tuple = ck::Tuple<F16, F16>;
|
||||
|
||||
using Row = ck::tensor_layout::gemm::RowMajor;
|
||||
using Col = ck::tensor_layout::gemm::ColumnMajor;
|
||||
using Row_Row_Tuple = ck::Tuple<Row, Row>;
|
||||
|
||||
template <ck::index_t... Is>
|
||||
using S = ck::Sequence<Is...>;
|
||||
|
||||
using PassThrough = ck::tensor_operation::element_wise::PassThrough;
|
||||
using AddReluAdd = ck::tensor_operation::element_wise::AddReluAdd;
|
||||
|
||||
static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpecialization::Default;
|
||||
static constexpr auto GemmMNKPadding = ck::tensor_operation::device::GemmSpecialization::MNKPadding;
|
||||
|
||||
// e = elementwise((a * b), d0, d1)
|
||||
// h = layernorm(e, gamma, beta)
|
||||
// output: h[m, n]
|
||||
// input: a[k, m], b[k, n], d0[m, n], d1[m, n], gamma[n], beta[n]
|
||||
template <BlockGemmPipelineScheduler GemmLoopScheduler, BlockGemmPipelineVersion GemmPipeline>
|
||||
using device_gemm_add_relu_add_wmma_c_shuffle_layernorm_f16_mk_kn_mn_mn_mn_instances = std::tuple<
|
||||
// clang-format off
|
||||
//##########################################| A| B| Ds| H| AData| BData| DsData| HData| AccData| CShuffleData | EMeanVarData| GammaData| BetaData| A| B| CDE| H| 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| CShuffleBlockTransfer| CDEShuffleBlockTransfer| Layernorm| Layernorm| LoopScheduler| Pipeline|
|
||||
//##########################################| Layout| Layout| Layout| Layout| Type| Type| Type| Type| Type| Type | Type| Type| Type| Elementwise| Elementwise| Elementwise| Elementwise| Specialization| Size| Block| Block| Block| | | Wmma| Wmma| | | ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN| MRepeat| NRepeat| ClusterLengths| ScalarPerVectors| ThreadClusterLengths| ThreadSliceSize| | |
|
||||
//##########################################| | | | | | | | | | | | | | Operation| Operation| Operation| Operation| | | | | | | | | | | | Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_BK1| | PerShuffle| PerShuffle| _MBlock_MPerBlock| | _M_N| _M| | |
|
||||
//##########################################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | _NBlock_NPerBlock| | | | | |
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Row, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, 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>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Row, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, 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<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Row, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 256, 128, 256, 32, 2, 2, 16, 16, 4, 4, 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>, 8, S<32, 8>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Row, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 256, 128, 256, 32, 8, 8, 16, 16, 4, 4, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 8, 1, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Row, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 128, 128, 128, 32, 2, 2, 16, 16, 8, 2, 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, 16, 1, 8>, 8, S<16, 8>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Row, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 128, 128, 128, 32, 8, 8, 16, 16, 8, 2, S<4, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 8, 1, 1, 1, S<1, 16, 1, 8>, 8, S<16, 8>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Row, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 256, 128, 128, 32, 2, 2, 16, 16, 4, 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>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Row, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, 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<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Row, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 128, 128, 64, 32, 2, 2, 16, 16, 4, 2, S<4, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, S<8, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 4>, 8, S<32, 4>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Row, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 128, 128, 64, 32, 8, 8, 16, 16, 4, 2, S<4, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1, 1, 1, S<1, 32, 1, 4>, 8, S<32, 4>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Row, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 128, 64, 128, 32, 2, 2, 16, 16, 4, 2, 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, 16, 1, 8>, 8, S<16, 8>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Row, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 128, 64, 128, 32, 8, 8, 16, 16, 4, 2, S<4, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 8, 1, 1, 1, S<1, 16, 1, 8>, 8, S<16, 8>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Row, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 256, 128, 64, 32, 2, 2, 16, 16, 4, 1, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, S<16, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, 0, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Row, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 256, 128, 64, 32, 8, 8, 16, 16, 4, 1, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 8, 1, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Row, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 256, 64, 128, 32, 2, 2, 16, 16, 2, 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>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Row, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 256, 64, 128, 32, 8, 8, 16, 16, 2, 2, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 1, GemmLoopScheduler, GemmPipeline>
|
||||
// clang-format on
|
||||
>;
|
||||
|
||||
// irregular tile size
|
||||
template <BlockGemmPipelineScheduler GemmLoopScheduler, BlockGemmPipelineVersion GemmPipeline>
|
||||
using device_gemm_add_relu_add_wmma_c_shuffle_layernorm_f16_mk_kn_mn_mn_mn_irregular_tile_instances =
|
||||
std::tuple<
|
||||
// clang-format off
|
||||
//##########################################| A| B| Ds| H| AData| BData| DsData| HData| AccData| CShuffleData | EMeanVarData| GammaData| BetaData| A| B| CDE| H| 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| CShuffleBlockTransfer| CDEShuffleBlockTransfer| Layernorm| Layernorm| LoopScheduler| Pipeline|
|
||||
//##########################################| Layout| Layout| Layout| Layout| Type| Type| Type| Type| Type| Type | Type| Type| Type| Elementwise| Elementwise| Elementwise| Elementwise| Specialization| Size| Block| Block| Block| | | Wmma| Wmma| | | ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN| MRepeat| NRepeat| ClusterLengths| ScalarPerVectors| ThreadClusterLengths| ThreadSliceSize| | |
|
||||
//##########################################| | | | | | | | | | | | | | Operation| Operation| Operation| Operation| | | | | | | | | | | | Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_BK1| | PerShuffle| PerShuffle| _MBlock_MPerBlock| | _M_N| _M| | |
|
||||
//##########################################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | _NBlock_NPerBlock| | | | | |
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Row, Row, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmMNKPadding, 64, 32, 32, 32, 8, 8, 16, 16, 2, 1, S<4, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 1, 8, 1, S<4, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 8, 1, 1, 1, S<1, 16, 1, 4>, 1, S<16, 4>, 1, GemmLoopScheduler, GemmPipeline>
|
||||
// clang-format on
|
||||
>;
|
||||
|
||||
void add_device_gemm_add_relu_add_wmma_c_shuffle_layernorm_f16_mk_kn_mn_mn_mn_instances(
|
||||
std::vector<std::unique_ptr<DeviceGemmMultipleDLayernorm<Row,
|
||||
Row,
|
||||
Row_Row_Tuple,
|
||||
Row,
|
||||
F16,
|
||||
F16,
|
||||
F16_F16_Tuple,
|
||||
F16,
|
||||
F16,
|
||||
F16,
|
||||
PassThrough,
|
||||
PassThrough,
|
||||
AddReluAdd,
|
||||
PassThrough>>>& instances)
|
||||
{
|
||||
add_device_operation_instances(
|
||||
instances,
|
||||
device_gemm_add_relu_add_wmma_c_shuffle_layernorm_f16_mk_kn_mn_mn_mn_instances<
|
||||
BlockGemmPipelineScheduler::Intrawave,
|
||||
BlockGemmPipelineVersion::v1>{});
|
||||
add_device_operation_instances(
|
||||
instances,
|
||||
device_gemm_add_relu_add_wmma_c_shuffle_layernorm_f16_mk_kn_mn_mn_mn_irregular_tile_instances<
|
||||
BlockGemmPipelineScheduler::Intrawave,
|
||||
BlockGemmPipelineVersion::v1>{});
|
||||
}
|
||||
|
||||
} // namespace instance
|
||||
} // namespace device
|
||||
} // namespace tensor_operation
|
||||
} // namespace ck
|
||||
@@ -0,0 +1,105 @@
|
||||
// SPDX-License-Identifier: MIT
|
||||
// Copyright (c) 2025, Advanced Micro Devices, Inc. All rights reserved.
|
||||
|
||||
#include "ck/ck.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_gemm_multiple_d_layernorm_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 F16_F16_Tuple = ck::Tuple<F16, F16>;
|
||||
|
||||
using Row = ck::tensor_layout::gemm::RowMajor;
|
||||
using Col = ck::tensor_layout::gemm::ColumnMajor;
|
||||
using Row_Row_Tuple = ck::Tuple<Row, Row>;
|
||||
|
||||
template <ck::index_t... Is>
|
||||
using S = ck::Sequence<Is...>;
|
||||
|
||||
using PassThrough = ck::tensor_operation::element_wise::PassThrough;
|
||||
using AddReluAdd = ck::tensor_operation::element_wise::AddReluAdd;
|
||||
|
||||
static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpecialization::Default;
|
||||
static constexpr auto GemmMNKPadding = ck::tensor_operation::device::GemmSpecialization::MNKPadding;
|
||||
|
||||
// e = elementwise((a * b), d0, d1)
|
||||
// h = layernorm(e, gamma, beta)
|
||||
// output: h[m, n]
|
||||
// input: a[k, m], b[k, n], d0[m, n], d1[m, n], gamma[n], beta[n]
|
||||
template <BlockGemmPipelineScheduler GemmLoopScheduler, BlockGemmPipelineVersion GemmPipeline>
|
||||
using device_gemm_add_relu_add_wmma_c_shuffle_layernorm_f16_mk_nk_mn_mn_mn_instances = std::tuple<
|
||||
// clang-format off
|
||||
//##########################################| A| B| Ds| H| AData| BData| DsData| HData| AccData| CShuffleData | EMeanVarData| GammaData| BetaData| A| B| CDE| H| 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| CShuffleBlockTransfer| CDEShuffleBlockTransfer| Layernorm| Layernorm| LoopScheduler| Pipeline|
|
||||
//##########################################| Layout| Layout| Layout| Layout| Type| Type| Type| Type| Type| Type | Type| Type| Type| Elementwise| Elementwise| Elementwise| Elementwise| Specialization| Size| Block| Block| Block| | | Wmma| Wmma| | | ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN| MRepeat| NRepeat| ClusterLengths| ScalarPerVectors| ThreadClusterLengths| ThreadSliceSize| | |
|
||||
//##########################################| | | | | | | | | | | | | | Operation| Operation| Operation| Operation| | | | | | | | | | | | Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_BK1| | PerShuffle| PerShuffle| _MBlock_MPerBlock| | _M_N| _M| | |
|
||||
//##########################################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | _NBlock_NPerBlock| | | | | |
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Row, Col, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, 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>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Row, Col, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 256, 128, 256, 32, 8, 8, 16, 16, 4, 4, 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>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Row, Col, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, 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>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Row, Col, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, 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>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Row, Col, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 128, 128, 64, 32, 8, 8, 16, 16, 4, 2, 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>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Row, Col, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 128, 64, 128, 32, 8, 8, 16, 16, 4, 2, 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, 16, 1, 8>, 8, S<16, 8>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Row, Col, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, 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>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Row, Col, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 256, 128, 64, 32, 8, 8, 16, 16, 4, 1, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, 1, 1, S<1, 32, 1, 8>, 8, S<32, 8>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Row, Col, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 256, 64, 128, 32, 8, 8, 16, 16, 2, 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>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Row, Col, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 128, 128, 32, 32, 8, 8, 16, 16, 4, 1, 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>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Row, Col, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 128, 32, 128, 32, 8, 8, 16, 16, 2, 2, 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, 16, 1, 8>, 8, S<16, 8>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Row, Col, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 64, 64, 32, 32, 8, 8, 16, 16, 4, 1, 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>, 1, GemmLoopScheduler, GemmPipeline>,
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Row, Col, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmDefault, 64, 32, 64, 32, 8, 8, 16, 16, 2, 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>, 1, GemmLoopScheduler, GemmPipeline>
|
||||
// clang-format on
|
||||
>;
|
||||
|
||||
template <BlockGemmPipelineScheduler GemmLoopScheduler, BlockGemmPipelineVersion GemmPipeline>
|
||||
using device_gemm_add_relu_add_wmma_c_shuffle_layernorm_f16_mk_nk_mn_mn_mn_irregular_tile_instances =
|
||||
std::tuple<
|
||||
// clang-format off
|
||||
//##########################################| A| B| Ds| H| AData| BData| DsData| HData| AccData| CShuffleData | EMeanVarData| GammaData| BetaData| A| B| CDE| H| 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| CShuffleBlockTransfer| CDEShuffleBlockTransfer| Layernorm| Layernorm| LoopScheduler| Pipeline|
|
||||
//##########################################| Layout| Layout| Layout| Layout| Type| Type| Type| Type| Type| Type | Type| Type| Type| Elementwise| Elementwise| Elementwise| Elementwise| Specialization| Size| Block| Block| Block| | | Wmma| Wmma| | | ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN| MRepeat| NRepeat| ClusterLengths| ScalarPerVectors| ThreadClusterLengths| ThreadSliceSize| | |
|
||||
//##########################################| | | | | | | | | | | | | | Operation| Operation| Operation| Operation| | | | | | | | | | | | Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_BK1| | PerShuffle| PerShuffle| _MBlock_MPerBlock| | _M_N| _M| | |
|
||||
//##########################################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | _NBlock_NPerBlock| | | | | |
|
||||
DeviceGemmMultipleDLayernorm_Wmma_CShuffleV3< Row, Col, Row_Row_Tuple, Row, F16, F16, F16_F16_Tuple, F16, F32, F32, F16, F16, F16, PassThrough, PassThrough, AddReluAdd, PassThrough, GemmMNKPadding, 64, 32, 32, 32, 8, 8, 16, 16, 2, 1, S<4, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 1, 8, 1, S<4, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 1, 8, 1, 1, 1, S<1, 16, 1, 4>, 1, S<16, 4>, 1, GemmLoopScheduler, GemmPipeline>
|
||||
// clang-format on
|
||||
>;
|
||||
|
||||
void add_device_gemm_add_relu_add_wmma_c_shuffle_layernorm_f16_mk_nk_mn_mn_mn_instances(
|
||||
std::vector<std::unique_ptr<DeviceGemmMultipleDLayernorm<Row,
|
||||
Col,
|
||||
Row_Row_Tuple,
|
||||
Row,
|
||||
F16,
|
||||
F16,
|
||||
F16_F16_Tuple,
|
||||
F16,
|
||||
F16,
|
||||
F16,
|
||||
PassThrough,
|
||||
PassThrough,
|
||||
AddReluAdd,
|
||||
PassThrough>>>& instances)
|
||||
{
|
||||
add_device_operation_instances(
|
||||
instances,
|
||||
device_gemm_add_relu_add_wmma_c_shuffle_layernorm_f16_mk_nk_mn_mn_mn_instances<
|
||||
BlockGemmPipelineScheduler::Intrawave,
|
||||
BlockGemmPipelineVersion::v1>{});
|
||||
|
||||
add_device_operation_instances(
|
||||
instances,
|
||||
device_gemm_add_relu_add_wmma_c_shuffle_layernorm_f16_mk_nk_mn_mn_mn_irregular_tile_instances<
|
||||
BlockGemmPipelineScheduler::Intrawave,
|
||||
BlockGemmPipelineVersion::v1>{});
|
||||
}
|
||||
|
||||
} // namespace instance
|
||||
} // namespace device
|
||||
} // namespace tensor_operation
|
||||
} // namespace ck
|
||||
Reference in New Issue
Block a user