mirror of
https://github.com/ROCm/composable_kernel.git
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Implement device_gemm_universal_preshuffle_instance for RDNA4 (#3429)
* add device_gemm_wmma_cshuffle_v3_b_preshuffle.hpp * add examples * add instances to test * remove duplicate code between examples
This commit is contained in:
Yung-sheng Tu
@@ -149,3 +149,7 @@ add_example_executable(example_gemm_wmma_fp16_fp8_v3 gemm_wmma_fp16_fp8_v3.cpp)
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add_example_dependencies(example_gemm_wmma example_gemm_wmma_fp16_fp8_v3)
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add_example_executable(example_gemm_wmma_fp16_pk_i4_v3_b_scale gemm_wmma_fp16_pk_i4_v3_b_scale.cpp)
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add_example_dependencies(example_gemm_wmma example_gemm_wmma_fp16_pk_i4_v3_b_scale)
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add_example_executable(example_gemm_wmma_fp8_bpreshuffle gemm_wmma_fp8_bpreshuffle.cpp)
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add_example_dependencies(example_gemm_wmma example_gemm_wmma_fp8_bpreshuffle)
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add_example_executable(example_gemm_wmma_fp16_bpreshuffle gemm_wmma_fp16_bpreshuffle.cpp)
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add_example_dependencies(example_gemm_wmma example_gemm_wmma_fp16_bpreshuffle)
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70
example/01_gemm/gemm_wmma_fp16_bpreshuffle.cpp
Normal file
70
example/01_gemm/gemm_wmma_fp16_bpreshuffle.cpp
Normal file
@@ -0,0 +1,70 @@
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// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
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// SPDX-License-Identifier: MIT
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#include "common.hpp"
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#include "ck/ck.hpp"
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#include "ck/library/reference_tensor_operation/cpu/reference_gemm.hpp"
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#include "ck/library/utility/check_err.hpp"
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#include "ck/library/utility/device_memory.hpp"
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#include "ck/library/utility/host_tensor.hpp"
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#include "ck/library/utility/host_tensor_generator.hpp"
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#include "ck/library/utility/literals.hpp"
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#include "ck/stream_config.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_wmma_cshuffle_v3_b_preshuffle.hpp"
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#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
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#include "ck/utility/data_type.hpp"
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#include "ck/utility/get_id.hpp"
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#include "ck/utility/scheduler_enum.hpp"
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#include <cstddef>
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#include <iostream>
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#include <type_traits>
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using F16 = ck::half_t;
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using F32 = float;
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using ADataType = F16;
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using BDataType = F16;
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using AccDataType = F32;
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using CShuffleDataType = F32;
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using CDataType = F16;
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using ComputeTypeA = F16;
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using ComputeTypeB = F16;
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using ALayout = Row;
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using BLayout = Col;
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using CLayout = Row;
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using AElementOp = PassThrough;
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using BElementOp = PassThrough;
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using CElementOp = PassThrough;
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static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpecialization::Default;
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static constexpr bool PermuteA = false;
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static constexpr bool PermuteB = false;
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static constexpr int KPack = 8; // int4 -> 32, fp8 -> 16, fp16 -> 8
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// clang-format off
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using DeviceOpInstance =
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ck::tensor_operation::device::DeviceGemm_Wmma_CShuffleV3_BPreshuffle<
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ALayout, BLayout, CLayout,
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ADataType, BDataType, CDataType, AccDataType, CShuffleDataType,
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AElementOp, BElementOp, CElementOp, GemmDefault,
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128,
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32, 128, 128,
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8, 8,
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16, 16,
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2, 2,
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S<16, 8, 1>, S<1, 0, 2>, S<1, 0, 2>,
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2, 8, 8, 0,
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S<16, 8, 1>, S<1, 0, 2>, S<1, 0, 2>,
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2, 8, 8, 0,
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1, 1, S<1, 16, 1, 8>, S<4, 4, 1>,
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ck::BlockGemmPipelineScheduler::Intrawave, ck::BlockGemmPipelineVersion::v1, ComputeTypeA, ComputeTypeB, PermuteA, PermuteB>;
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// clang-format on
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#include "run_gemm_wmma_bpreshuffle_example.inc"
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int main(int argc, char* argv[]) { return !run_gemm_splitk_example(argc, argv); }
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72
example/01_gemm/gemm_wmma_fp8_bpreshuffle.cpp
Normal file
72
example/01_gemm/gemm_wmma_fp8_bpreshuffle.cpp
Normal file
@@ -0,0 +1,72 @@
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// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
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// SPDX-License-Identifier: MIT
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#include "common.hpp"
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#include "ck/ck.hpp"
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#include "ck/library/reference_tensor_operation/cpu/reference_gemm.hpp"
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#include "ck/library/utility/check_err.hpp"
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#include "ck/library/utility/device_memory.hpp"
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#include "ck/library/utility/host_tensor.hpp"
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#include "ck/library/utility/host_tensor_generator.hpp"
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#include "ck/library/utility/literals.hpp"
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#include "ck/stream_config.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_wmma_cshuffle_v3_b_preshuffle.hpp"
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#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
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#include "ck/utility/amd_ck_fp8.hpp"
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#include "ck/utility/data_type.hpp"
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#include "ck/utility/get_id.hpp"
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#include "ck/utility/scheduler_enum.hpp"
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#include <cstddef>
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#include <iostream>
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#include <type_traits>
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using F8 = ck::f8_t;
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using F16 = ck::half_t;
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using F32 = float;
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using ADataType = F8;
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using BDataType = F8;
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using AccDataType = F32;
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using CShuffleDataType = F32;
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using CDataType = F16;
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using ComputeTypeA = F8;
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using ComputeTypeB = F8;
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using ALayout = Row;
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using BLayout = Col;
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using CLayout = Row;
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using AElementOp = PassThrough;
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using BElementOp = PassThrough;
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using CElementOp = PassThrough;
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static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpecialization::Default;
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static constexpr bool PermuteA = false;
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static constexpr bool PermuteB = false;
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static constexpr int KPack = 16; // int4 -> 32, fp8 -> 16, fp16 -> 8
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// clang-format off
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using DeviceOpInstance =
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ck::tensor_operation::device::DeviceGemm_Wmma_CShuffleV3_BPreshuffle<
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ALayout, BLayout, CLayout,
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ADataType, BDataType, CDataType, AccDataType, CShuffleDataType,
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AElementOp, BElementOp, CElementOp, GemmDefault,
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256,
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32, 128, 256,
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16, 16,
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16, 16,
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2, 1,
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S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>,
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2, 16, 16, 0,
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S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>,
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2, 16, 16, 0,
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1, 1, S<1, 16, 1, 16>, S<8, 8, 1>,
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ck::BlockGemmPipelineScheduler::Intrawave, ck::BlockGemmPipelineVersion::v1, ComputeTypeA, ComputeTypeB, PermuteA, PermuteB>;
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// clang-format on
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#include "run_gemm_wmma_bpreshuffle_example.inc"
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int main(int argc, char* argv[]) { return !run_gemm_splitk_example(argc, argv); }
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206
example/01_gemm/run_gemm_wmma_bpreshuffle_example.inc
Normal file
206
example/01_gemm/run_gemm_wmma_bpreshuffle_example.inc
Normal file
@@ -0,0 +1,206 @@
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// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
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// SPDX-License-Identifier: MIT
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#pragma once
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template <typename ProblemType>
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bool run_gemm(const ProblemType& problem_size, const ExecutionConfig& config)
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{
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using namespace ck::literals;
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auto M = problem_size.M;
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auto N = problem_size.N;
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auto K = problem_size.K;
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auto StrideA = problem_size.StrideA;
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auto StrideB = problem_size.StrideB;
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auto StrideC = problem_size.StrideC;
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auto KBatch = problem_size.KBatch;
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auto f_host_tensor_descriptor =
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[](std::size_t row, std::size_t col, std::size_t stride, auto layout) {
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if constexpr(std::is_same_v<decltype(layout), ck::tensor_layout::gemm::RowMajor>)
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{
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return HostTensorDescriptor({row, col}, {stride, 1_uz});
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}
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else
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{
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return HostTensorDescriptor({row, col}, {1_uz, stride});
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}
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};
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auto f_get_default_stride =
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[](std::size_t row, std::size_t col, ck::index_t stride, auto layout) {
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if(stride == -1)
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{
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// give a chance if stride is -1, return a default packed stride
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if constexpr(std::is_same_v<decltype(layout), ck::tensor_layout::gemm::RowMajor>)
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{
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return static_cast<std::size_t>(col);
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}
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else
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{
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return static_cast<std::size_t>(row);
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}
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}
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else
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return static_cast<std::size_t>(stride);
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};
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StrideA = f_get_default_stride(M, K, StrideA, ALayout{});
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StrideB = f_get_default_stride(K, N, StrideB, BLayout{});
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StrideC = f_get_default_stride(M, N, StrideC, CLayout{});
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Tensor<ADataType> a_m_k(f_host_tensor_descriptor(M, K, StrideA, ALayout{}));
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Tensor<BDataType> b_k_n(f_host_tensor_descriptor(K, N, StrideB, BLayout{}));
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Tensor<BDataType> b_k_n_preshuffled(f_host_tensor_descriptor(K, N, StrideB, BLayout{}));
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switch(config.init_method)
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{
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case 0: break;
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case 1:
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a_m_k.GenerateTensorValue(GeneratorTensor_2<ADataType>{-2, 2});
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b_k_n.GenerateTensorValue(GeneratorTensor_2<BDataType>{0, 2});
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break;
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case 2:
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a_m_k.GenerateTensorValue(GeneratorTensor_1<ADataType>{});
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b_k_n.GenerateTensorValue(GeneratorTensor_1<BDataType>{});
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break;
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default:
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a_m_k.GenerateTensorValue(GeneratorTensor_3<ADataType>{0.0, 1.0});
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b_k_n.GenerateTensorValue(GeneratorTensor_3<BDataType>{-0.5, 0.5});
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}
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Tensor<CDataType> c_m_n_host_result(f_host_tensor_descriptor(M, N, StrideC, CLayout{}));
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Tensor<CDataType> c_m_n_device_result(f_host_tensor_descriptor(M, N, StrideC, CLayout{}));
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std::cout << "a_m_k: " << a_m_k.mDesc << std::endl;
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std::cout << "b_k_n: " << b_k_n.mDesc << std::endl;
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std::cout << "b_k_n_preshuffled: " << b_k_n_preshuffled.mDesc << std::endl;
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std::cout << "c_m_n: " << c_m_n_host_result.mDesc << std::endl;
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DeviceMem a_m_k_device_buf(sizeof(ADataType) * a_m_k.mDesc.GetElementSpaceSize());
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DeviceMem b_k_n_device_buf(sizeof(BDataType) * b_k_n.mDesc.GetElementSpaceSize());
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DeviceMem c_m_n_device_buf(sizeof(CDataType) * c_m_n_device_result.mDesc.GetElementSpaceSize());
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// do GEMM
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auto device_op = DeviceOpInstance{};
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// weight pre-shuffle
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int NPerWmma = device_op.GetPreShuffleParameters();
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int KLane = ck::get_warp_size() / NPerWmma;
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int K0 = K / (KLane * KPack);
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// K -> K0 KLane KPack
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// N -> N0 NPerWmma
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// N, K -> N0 K0 KLane NPerWmma KPack
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int tempk;
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for(int n = 0; n < N; ++n)
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{
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for(int k = 0; k < K; ++k)
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{
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int n0 = n / NPerWmma;
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int n1 = n % NPerWmma;
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int k0 = k / (KLane * KPack);
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tempk = k % (KLane * KPack);
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int k1 = tempk / KPack;
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int k2 = tempk % KPack;
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int outputIndex = n0 * KPack * NPerWmma * KLane * K0 + k0 * KPack * NPerWmma * KLane +
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k1 * KPack * NPerWmma + n1 * KPack + k2;
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b_k_n_preshuffled(outputIndex) = b_k_n(n * K + k);
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}
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}
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a_m_k_device_buf.ToDevice(a_m_k.mData.data());
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b_k_n_device_buf.ToDevice(b_k_n_preshuffled.mData.data());
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c_m_n_device_buf.ToDevice(c_m_n_device_result.mData.data());
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auto a_element_op = AElementOp{};
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auto b_element_op = BElementOp{};
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auto c_element_op = CElementOp{};
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auto invoker = device_op.MakeInvoker();
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auto argument =
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device_op.MakeArgument(static_cast<ADataType*>(a_m_k_device_buf.GetDeviceBuffer()),
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static_cast<BDataType*>(b_k_n_device_buf.GetDeviceBuffer()),
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static_cast<CDataType*>(c_m_n_device_buf.GetDeviceBuffer()),
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M,
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N,
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K,
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StrideA,
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StrideB,
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StrideC,
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KBatch,
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a_element_op,
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b_element_op,
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c_element_op);
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if(!device_op.IsSupportedArgument(argument))
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{
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std::cerr << device_op.GetTypeString() << " does not support this problem" << std::endl;
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return true;
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}
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float ave_time =
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invoker.Run(argument, StreamConfig{nullptr, config.time_kernel, 0, 50, 50, false, 1});
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bool pass = true;
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if(config.do_verification)
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{
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using ReferenceGemmInstance = ck::tensor_operation::host::ReferenceGemm<ADataType,
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BDataType,
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CDataType,
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AccDataType,
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PassThrough,
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PassThrough,
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PassThrough>;
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auto ref_gemm = ReferenceGemmInstance{};
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auto ref_invoker = ref_gemm.MakeInvoker();
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auto ref_argument = ref_gemm.MakeArgument(
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a_m_k, b_k_n, c_m_n_host_result, PassThrough{}, PassThrough{}, PassThrough{});
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ref_invoker.Run(ref_argument);
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invoker.Run(argument, StreamConfig{nullptr, false, 0});
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c_m_n_device_buf.FromDevice(c_m_n_device_result.mData.data());
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pass &= ck::utils::check_err(c_m_n_device_result,
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c_m_n_host_result,
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"Error: Incorrect results!",
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get_rtol<CDataType>(),
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get_atol<CDataType>());
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}
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if(config.time_kernel)
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{
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ave_time =
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invoker.Run(argument, StreamConfig{nullptr, config.time_kernel, 0, 20, 50, true, 50});
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std::size_t flop = 2_uz * M * N * K;
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std::size_t num_btype =
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sizeof(ADataType) * M * K + sizeof(BDataType) * K * N + sizeof(CDataType) * M * N;
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float tflops = static_cast<float>(flop) / 1.E9 / ave_time;
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float gb_per_sec = num_btype / 1.E6 / ave_time;
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std::cout << "Perf: " << ave_time << " ms, " << tflops << " TFlops, " << gb_per_sec
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<< " GB/s, " << device_op.GetTypeString() << std::endl;
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}
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return pass;
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}
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bool run_gemm_splitk_example(int argc, char* argv[])
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{
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ProblemSizeSplitK problem_size{3840, 4096, 4096, 4096, 4096, 4096, 1};
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ExecutionConfig config;
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return parse_cmd_args(argc, argv, problem_size, config) && run_gemm(problem_size, config);
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}
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@@ -0,0 +1,303 @@
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// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
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// SPDX-License-Identifier: MIT
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#pragma once
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#include "ck/ck.hpp"
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#include "ck/tensor_operation/gpu/device/device_base.hpp"
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#include "ck/tensor_operation/gpu/device/device_gemm_v2.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_wmma_cshuffle_v3_common.hpp"
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#include "ck/tensor_operation/gpu/grid/gridwise_gemm_wmma_cshuffle_v3.hpp"
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#include "ck/utility/scheduler_enum.hpp"
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#include "ck/utility/tuple.hpp"
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#include <array>
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#include <map>
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#include <memory>
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#include <sstream>
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#include <string>
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namespace ck {
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namespace tensor_operation {
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namespace device {
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template <typename ALayout,
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typename BLayout,
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typename CLayout,
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typename ADataType,
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typename BDataType,
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typename CDataType,
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typename AccDataType,
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typename CShuffleDataType,
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typename AElementwiseOperation,
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typename BElementwiseOperation,
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typename CElementwiseOperation,
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GemmSpecialization GemmSpec,
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index_t BlockSize,
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index_t MPerBlock,
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index_t NPerBlock,
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index_t KPerBlock,
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index_t AK1,
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index_t BK1,
|
||||
index_t MPerWmma,
|
||||
index_t NPerWmma,
|
||||
index_t MRepeat,
|
||||
index_t NRepeat,
|
||||
typename ABlockTransferThreadClusterLengths_AK0_M_AK1,
|
||||
typename ABlockTransferThreadClusterArrangeOrder,
|
||||
typename ABlockTransferSrcAccessOrder,
|
||||
index_t ABlockTransferSrcVectorDim,
|
||||
index_t ABlockTransferSrcScalarPerVector,
|
||||
index_t ABlockTransferDstScalarPerVector_AK1,
|
||||
bool ABlockLdsExtraM,
|
||||
typename BBlockTransferThreadClusterLengths_BK0_N_BK1,
|
||||
typename BBlockTransferThreadClusterArrangeOrder,
|
||||
typename BBlockTransferSrcAccessOrder,
|
||||
index_t BBlockTransferSrcVectorDim,
|
||||
index_t BBlockTransferSrcScalarPerVector,
|
||||
index_t BBlockTransferDstScalarPerVector_BK1,
|
||||
bool BBlockLdsExtraN,
|
||||
index_t CShuffleMRepeatPerShuffle,
|
||||
index_t CShuffleNRepeatPerShuffle,
|
||||
typename CShuffleBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock,
|
||||
typename CShuffleBlockTransferScalarPerVector,
|
||||
BlockGemmPipelineScheduler BlkGemmPipeSched = BlockGemmPipelineScheduler::Intrawave,
|
||||
BlockGemmPipelineVersion BlkGemmPipelineVer = BlockGemmPipelineVersion::v1,
|
||||
typename ComputeTypeA = CDataType,
|
||||
typename ComputeTypeB = ComputeTypeA,
|
||||
bool PermuteA = false,
|
||||
bool PermuteB = false>
|
||||
struct DeviceGemm_Wmma_CShuffleV3_BPreshuffle
|
||||
: public DeviceGemmV2BPreshuffle<ALayout,
|
||||
BLayout,
|
||||
CLayout,
|
||||
ADataType,
|
||||
BDataType,
|
||||
CDataType,
|
||||
AElementwiseOperation,
|
||||
BElementwiseOperation,
|
||||
CElementwiseOperation>
|
||||
{
|
||||
// GridwiseGemm
|
||||
using GridwiseGemm = GridwiseGemm_wmma_cshuffle_v3<
|
||||
ALayout,
|
||||
BLayout,
|
||||
Tuple<>,
|
||||
CLayout,
|
||||
Tuple<ADataType>,
|
||||
Tuple<BDataType>,
|
||||
AccDataType,
|
||||
CShuffleDataType,
|
||||
Tuple<>,
|
||||
CDataType,
|
||||
AElementwiseOperation,
|
||||
BElementwiseOperation,
|
||||
CElementwiseOperation,
|
||||
GemmSpec,
|
||||
BlockSize,
|
||||
MPerBlock,
|
||||
NPerBlock,
|
||||
KPerBlock,
|
||||
AK1,
|
||||
BK1,
|
||||
MPerWmma,
|
||||
NPerWmma,
|
||||
MRepeat,
|
||||
NRepeat,
|
||||
ABlockTransferThreadClusterLengths_AK0_M_AK1,
|
||||
ABlockTransferThreadClusterArrangeOrder,
|
||||
ABlockTransferSrcAccessOrder,
|
||||
ABlockTransferSrcVectorDim,
|
||||
ABlockTransferSrcScalarPerVector,
|
||||
ABlockTransferDstScalarPerVector_AK1,
|
||||
false,
|
||||
ABlockLdsExtraM,
|
||||
BBlockTransferThreadClusterLengths_BK0_N_BK1,
|
||||
BBlockTransferThreadClusterArrangeOrder,
|
||||
BBlockTransferSrcAccessOrder,
|
||||
BBlockTransferSrcVectorDim,
|
||||
BBlockTransferSrcScalarPerVector,
|
||||
BBlockTransferDstScalarPerVector_BK1,
|
||||
false,
|
||||
BBlockLdsExtraN,
|
||||
CShuffleMRepeatPerShuffle,
|
||||
CShuffleNRepeatPerShuffle,
|
||||
CShuffleBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock,
|
||||
CShuffleBlockTransferScalarPerVector,
|
||||
BlkGemmPipeSched,
|
||||
BlkGemmPipelineVer,
|
||||
ComputeTypeA,
|
||||
ComputeTypeB,
|
||||
PermuteA,
|
||||
PermuteB,
|
||||
true>;
|
||||
|
||||
using Argument = typename GridwiseGemm::Argument;
|
||||
|
||||
int GetPreShuffleParameters() override { return NPerWmma; }
|
||||
|
||||
using DeviceGemmCommon = DeviceGemm_Wmma_CShuffleV3_Common<GridwiseGemm,
|
||||
Tuple<ADataType>,
|
||||
Tuple<BDataType>,
|
||||
Tuple<>,
|
||||
CDataType,
|
||||
MPerBlock,
|
||||
NPerBlock,
|
||||
KPerBlock,
|
||||
BlockSize,
|
||||
AK1,
|
||||
BK1,
|
||||
GemmSpec,
|
||||
CShuffleBlockTransferScalarPerVector,
|
||||
BlkGemmPipeSched,
|
||||
BlkGemmPipelineVer,
|
||||
ComputeTypeA,
|
||||
ComputeTypeB,
|
||||
true>;
|
||||
|
||||
// Invoker
|
||||
using Invoker = typename DeviceGemmCommon::Invoker;
|
||||
|
||||
static bool IsSupportedArgument(const Argument& arg)
|
||||
{
|
||||
if(arg.N % NPerBlock != 0 || arg.K % KPerBlock != 0)
|
||||
{
|
||||
return false;
|
||||
}
|
||||
return DeviceGemmCommon::IsSupportedArgument(arg);
|
||||
}
|
||||
|
||||
// polymorphic
|
||||
bool IsSupportedArgument(const BaseArgument* p_arg) override
|
||||
{
|
||||
return IsSupportedArgument(*dynamic_cast<const Argument*>(p_arg));
|
||||
}
|
||||
|
||||
index_t GetKPerBlock() override { return KPerBlock; }
|
||||
|
||||
bool GetPermuteA() override { return PermuteA; }
|
||||
bool GetPermuteB() override { return PermuteB; }
|
||||
|
||||
static auto MakeArgument(const void* p_a,
|
||||
const void* p_b,
|
||||
void* p_c,
|
||||
index_t M,
|
||||
index_t N,
|
||||
index_t K,
|
||||
index_t StrideA,
|
||||
index_t StrideB,
|
||||
index_t StrideC,
|
||||
index_t KBatch,
|
||||
AElementwiseOperation a_element_op,
|
||||
BElementwiseOperation b_element_op,
|
||||
CElementwiseOperation c_element_op)
|
||||
{
|
||||
return Argument{std::array<const void*, 1>{p_a},
|
||||
std::array<const void*, 1>{p_b},
|
||||
std::array<const void*, 0>{},
|
||||
static_cast<CDataType*>(p_c),
|
||||
M,
|
||||
N,
|
||||
K,
|
||||
std::array<index_t, 1>{StrideA},
|
||||
std::array<index_t, 1>{StrideB},
|
||||
std::array<index_t, 0>{},
|
||||
StrideC,
|
||||
KBatch,
|
||||
a_element_op,
|
||||
b_element_op,
|
||||
c_element_op};
|
||||
}
|
||||
|
||||
static auto MakeInvoker() { return Invoker{}; }
|
||||
|
||||
// polymorphic
|
||||
std::unique_ptr<BaseArgument> MakeArgumentPointer(const void* p_a,
|
||||
const void* p_b,
|
||||
void* p_c,
|
||||
index_t M,
|
||||
index_t N,
|
||||
index_t K,
|
||||
index_t StrideA,
|
||||
index_t StrideB,
|
||||
index_t StrideC,
|
||||
index_t KBatch,
|
||||
AElementwiseOperation a_element_op,
|
||||
BElementwiseOperation b_element_op,
|
||||
CElementwiseOperation c_element_op) override
|
||||
{
|
||||
return std::make_unique<Argument>(std::array<const void*, 1>{p_a},
|
||||
std::array<const void*, 1>{p_b},
|
||||
std::array<const void*, 0>{},
|
||||
static_cast<CDataType*>(p_c),
|
||||
M,
|
||||
N,
|
||||
K,
|
||||
std::array<index_t, 1>{StrideA},
|
||||
std::array<index_t, 1>{StrideB},
|
||||
std::array<index_t, 0>{},
|
||||
StrideC,
|
||||
KBatch,
|
||||
a_element_op,
|
||||
b_element_op,
|
||||
c_element_op);
|
||||
}
|
||||
|
||||
// polymorphic
|
||||
std::unique_ptr<BaseInvoker> MakeInvokerPointer() override
|
||||
{
|
||||
return std::make_unique<Invoker>(Invoker{});
|
||||
}
|
||||
|
||||
// polymorphic
|
||||
std::string GetTypeString() const override
|
||||
{
|
||||
auto str = std::stringstream();
|
||||
|
||||
std::map<BlockGemmPipelineScheduler, std::string> BlkGemmPipelineSchedulerToString{
|
||||
{BlockGemmPipelineScheduler::Intrawave, "Intrawave"},
|
||||
{BlockGemmPipelineScheduler::Interwave, "Interwave"}};
|
||||
|
||||
std::map<BlockGemmPipelineVersion, std::string> BlkGemmPipelineVersionToString{
|
||||
{BlockGemmPipelineVersion::v1, "v1"},
|
||||
{BlockGemmPipelineVersion::v2, "v2"},
|
||||
{BlockGemmPipelineVersion::v3, "v3"},
|
||||
{BlockGemmPipelineVersion::v4, "v4"},
|
||||
{BlockGemmPipelineVersion::v5, "v5"}};
|
||||
|
||||
// clang-format off
|
||||
str << "DeviceGemm_BPreshuffle_Wmma_CShuffleV3"
|
||||
<< "<"
|
||||
<< getGemmSpecializationString(GemmSpec) << ", "
|
||||
<< std::string(ALayout::name)[0]
|
||||
<< std::string(BLayout::name)[0]
|
||||
<< std::string(CLayout::name)[0]
|
||||
<< ">"
|
||||
<< " BlkSize: "
|
||||
<< BlockSize << ", "
|
||||
<< "BlkTile: "
|
||||
<< MPerBlock << "x" << NPerBlock << "x" << KPerBlock << ", "
|
||||
<< "WaveTile: "
|
||||
<< MPerWmma << "x" << NPerWmma << ", "
|
||||
<< "WaveMap: "
|
||||
<< MRepeat << "x" << NRepeat << ", "
|
||||
<< "VmemReadVec: "
|
||||
<< ABlockTransferSrcScalarPerVector << "x" << BBlockTransferSrcScalarPerVector << ", "
|
||||
<< "BlkGemmPipelineScheduler: "
|
||||
<< BlkGemmPipelineSchedulerToString[BlkGemmPipeSched] << ", "
|
||||
<< "BlkGemmPipelineVersion: "
|
||||
<< BlkGemmPipelineVersionToString[BlkGemmPipelineVer] << ", "
|
||||
<< "BlkGemmPipelinePrefetchStages: "
|
||||
<< GridwiseGemm::BlockwiseGemmPipe::PrefetchStages << ", "
|
||||
<< "Kpack: "
|
||||
<< GridwiseGemm::KPack;
|
||||
// clang-format on
|
||||
|
||||
return str.str();
|
||||
}
|
||||
};
|
||||
|
||||
} // namespace device
|
||||
} // namespace tensor_operation
|
||||
} // namespace ck
|
||||
@@ -3,18 +3,19 @@
|
||||
|
||||
#pragma once
|
||||
|
||||
#include <vector>
|
||||
#include <memory>
|
||||
#include "ck/ck.hpp"
|
||||
#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
|
||||
#include "ck/tensor_operation/gpu/device/device_gemm_v2.hpp"
|
||||
#include "ck/tensor_operation/gpu/element/element_wise_operation.hpp"
|
||||
|
||||
#include "ck/library/tensor_operation_instance/device_operation_instance_factory.hpp"
|
||||
#ifdef CK_USE_XDL
|
||||
#include "ck/tensor_operation/gpu/device/device_gemm_v2.hpp"
|
||||
#include "ck/tensor_operation/gpu/element/unary_element_wise_operation.hpp"
|
||||
#include "ck/utility/amd_ck_fp8.hpp"
|
||||
#include "ck/utility/data_type.hpp"
|
||||
#if defined(CK_USE_XDL) || defined(CK_USE_WMMA)
|
||||
#include "gemm_universal_preshuffle.inc"
|
||||
#endif
|
||||
|
||||
#include <memory>
|
||||
#include <vector>
|
||||
|
||||
namespace ck {
|
||||
namespace tensor_operation {
|
||||
namespace device {
|
||||
@@ -51,7 +52,7 @@ struct DeviceOperationInstanceFactory<
|
||||
|
||||
static auto GetInstances()
|
||||
{
|
||||
#ifdef CK_USE_XDL
|
||||
#if defined(CK_USE_XDL) || defined(CK_USE_WMMA)
|
||||
std::vector<std::unique_ptr<DeviceOp>> op_ptrs;
|
||||
#if(defined(CK_ENABLE_BF16) && defined(CK_ENABLE_FP8))
|
||||
if constexpr(is_same_v<ADataType, f8_t> && is_same_v<BDataType, f8_t> &&
|
||||
@@ -60,6 +61,7 @@ struct DeviceOperationInstanceFactory<
|
||||
if constexpr(is_same_v<ALayout, Row> && is_same_v<BLayout, Col> &&
|
||||
is_same_v<CLayout, Row>)
|
||||
{
|
||||
#ifdef CK_USE_XDL
|
||||
add_device_gemm_xdl_universal_preshuffle_f8_f8_bf16_mk_mfma32x32_mn_instances(
|
||||
op_ptrs);
|
||||
add_device_gemm_xdl_universal_preshuffle_f8_f8_bf16_mk_mfma32x32_mn_compute_instances(
|
||||
@@ -90,6 +92,17 @@ struct DeviceOperationInstanceFactory<
|
||||
op_ptrs);
|
||||
add_device_gemm_xdl_universal_preshuffle_f8_f8_bf16_mk_mfma16x16_nk_mn_comp_default_instances_part1(
|
||||
op_ptrs);
|
||||
#endif
|
||||
#ifdef CK_USE_WMMA
|
||||
add_device_gemm_universal_preshuffle_wmma_f8_f8_bf16_mk_wmma_mn_default_instances_p1(
|
||||
op_ptrs);
|
||||
add_device_gemm_universal_preshuffle_wmma_f8_f8_bf16_mk_wmma_mn_default_instances_p2(
|
||||
op_ptrs);
|
||||
add_device_gemm_universal_preshuffle_wmma_f8_f8_bf16_mk_wmma_mn_default_instances_p3(
|
||||
op_ptrs);
|
||||
add_device_gemm_universal_preshuffle_wmma_f8_f8_bf16_mk_wmma_mn_default_instances_p4(
|
||||
op_ptrs);
|
||||
#endif
|
||||
}
|
||||
}
|
||||
#endif
|
||||
@@ -100,6 +113,7 @@ struct DeviceOperationInstanceFactory<
|
||||
if constexpr(is_same_v<ALayout, Row> && is_same_v<BLayout, Col> &&
|
||||
is_same_v<CLayout, Row>)
|
||||
{
|
||||
#ifdef CK_USE_XDL
|
||||
add_device_gemm_universal_preshuffle_xdl_f8_f8_f16_mk_mfma_mn_compute_default_instances_p1(
|
||||
op_ptrs);
|
||||
add_device_gemm_universal_preshuffle_xdl_f8_f8_f16_mk_mfma_mn_compute_default_instances_p2(
|
||||
@@ -136,10 +150,21 @@ struct DeviceOperationInstanceFactory<
|
||||
op_ptrs);
|
||||
add_device_gemm_universal_preshuffle_xdl_f8_f8_f16_mk_mfma16x16_mn_compute_default_instances_p6(
|
||||
op_ptrs);
|
||||
#endif
|
||||
#ifdef CK_USE_WMMA
|
||||
add_device_gemm_universal_preshuffle_wmma_f8_f8_f16_mk_wmma_mn_default_instances_p1(
|
||||
op_ptrs);
|
||||
add_device_gemm_universal_preshuffle_wmma_f8_f8_f16_mk_wmma_mn_default_instances_p2(
|
||||
op_ptrs);
|
||||
add_device_gemm_universal_preshuffle_wmma_f8_f8_f16_mk_wmma_mn_default_instances_p3(
|
||||
op_ptrs);
|
||||
add_device_gemm_universal_preshuffle_wmma_f8_f8_f16_mk_wmma_mn_default_instances_p4(
|
||||
op_ptrs);
|
||||
#endif
|
||||
}
|
||||
}
|
||||
#endif
|
||||
#endif // CK_USE_XDL
|
||||
#endif // CK_USE_XDL || CK_USE_WMMA
|
||||
|
||||
return op_ptrs;
|
||||
}
|
||||
|
||||
@@ -13,8 +13,7 @@ namespace instance {
|
||||
using GemmF8F8BF16InstanceVector = std::vector<std::unique_ptr<
|
||||
DeviceGemmV2BPreshuffle<Row, Col, Row, F8, F8, BF16, PassThrough, PassThrough, PassThrough>>>&;
|
||||
|
||||
using GemmF8F8F16InstanceVector = std::vector<std::unique_ptr<
|
||||
DeviceGemmV2BPreshuffle<Row, Col, Row, F8, F8, F16, PassThrough, PassThrough, PassThrough>>>&;
|
||||
#ifdef CK_USE_XDL
|
||||
|
||||
void add_device_gemm_xdl_universal_preshuffle_f8_f8_bf16_mk_mfma32x32_mn_instances(
|
||||
GemmF8F8BF16InstanceVector& instances);
|
||||
@@ -61,7 +60,32 @@ void add_device_gemm_xdl_universal_preshuffle_f8_f8_bf16_mk_mfma16x16_nk_mn_comp
|
||||
GemmF8F8BF16InstanceVector& instances);
|
||||
|
||||
#endif
|
||||
|
||||
#ifdef CK_USE_WMMA
|
||||
|
||||
void add_device_gemm_universal_preshuffle_wmma_f8_f8_bf16_mk_wmma_mn_default_instances_p1(
|
||||
GemmF8F8BF16InstanceVector& instances);
|
||||
|
||||
void add_device_gemm_universal_preshuffle_wmma_f8_f8_bf16_mk_wmma_mn_default_instances_p2(
|
||||
GemmF8F8BF16InstanceVector& instances);
|
||||
|
||||
void add_device_gemm_universal_preshuffle_wmma_f8_f8_bf16_mk_wmma_mn_default_instances_p3(
|
||||
GemmF8F8BF16InstanceVector& instances);
|
||||
|
||||
void add_device_gemm_universal_preshuffle_wmma_f8_f8_bf16_mk_wmma_mn_default_instances_p4(
|
||||
GemmF8F8BF16InstanceVector& instances);
|
||||
|
||||
#endif
|
||||
|
||||
#endif
|
||||
|
||||
#if(defined(CK_ENABLE_FP16) && defined(CK_ENABLE_FP8))
|
||||
|
||||
using GemmF8F8F16InstanceVector = std::vector<std::unique_ptr<
|
||||
DeviceGemmV2BPreshuffle<Row, Col, Row, F8, F8, F16, PassThrough, PassThrough, PassThrough>>>&;
|
||||
|
||||
#ifdef CK_USE_XDL
|
||||
|
||||
void add_device_gemm_universal_preshuffle_xdl_f8_f8_f16_mk_mfma_mn_compute_default_instances_p1(
|
||||
GemmF8F8F16InstanceVector& instances);
|
||||
void add_device_gemm_universal_preshuffle_xdl_f8_f8_f16_mk_mfma_mn_compute_default_instances_p2(
|
||||
@@ -99,6 +123,25 @@ void add_device_gemm_universal_preshuffle_xdl_f8_f8_f16_mk_mfma16x16_mn_compute_
|
||||
GemmF8F8F16InstanceVector& instances);
|
||||
void add_device_gemm_universal_preshuffle_xdl_f8_f8_f16_mk_mfma16x16_mn_compute_default_instances_p6(
|
||||
GemmF8F8F16InstanceVector& instances);
|
||||
|
||||
#endif
|
||||
|
||||
#ifdef CK_USE_WMMA
|
||||
|
||||
void add_device_gemm_universal_preshuffle_wmma_f8_f8_f16_mk_wmma_mn_default_instances_p1(
|
||||
GemmF8F8F16InstanceVector& instances);
|
||||
|
||||
void add_device_gemm_universal_preshuffle_wmma_f8_f8_f16_mk_wmma_mn_default_instances_p2(
|
||||
GemmF8F8F16InstanceVector& instances);
|
||||
|
||||
void add_device_gemm_universal_preshuffle_wmma_f8_f8_f16_mk_wmma_mn_default_instances_p3(
|
||||
GemmF8F8F16InstanceVector& instances);
|
||||
|
||||
void add_device_gemm_universal_preshuffle_wmma_f8_f8_f16_mk_wmma_mn_default_instances_p4(
|
||||
GemmF8F8F16InstanceVector& instances);
|
||||
|
||||
#endif
|
||||
|
||||
#endif
|
||||
} // namespace instance
|
||||
} // namespace device
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
# Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
|
||||
# SPDX-License-Identifier: MIT
|
||||
|
||||
# ONLY XDL_KERNELS
|
||||
# ONLY XDL_AND_WMMA_KERNELS
|
||||
set(GEMM_UNIVERSAL_INSTANCES)
|
||||
|
||||
# F8_F8_BF16
|
||||
@@ -21,6 +21,10 @@ device_gemm_xdl_universal_preshuffle_f8_f8_bf16/device_gemm_xdl_universal_preshu
|
||||
device_gemm_xdl_universal_preshuffle_f8_f8_bf16/device_gemm_xdl_universal_preshuffle_f8_f8_bf16_mk_mfma_mn_p5_default_instance.cpp
|
||||
device_gemm_xdl_universal_preshuffle_f8_f8_bf16/device_gemm_xdl_universal_preshuffle_f8_f8_f8_bf16_mk_mfma32x32_mn_default_instance.cpp
|
||||
device_gemm_xdl_universal_preshuffle_f8_f8_bf16/device_gemm_xdl_universal_preshuffle_f8_f8_f8_bf16_mk_mfma32x32_mn_comp_instance.cpp
|
||||
device_gemm_wmma_universal_preshuffle_f8_f8_bf16/device_gemm_wmma_universal_preshuffle_f8_f8_bf16_mk_wmma_mn_default_instance_p1.cpp
|
||||
device_gemm_wmma_universal_preshuffle_f8_f8_bf16/device_gemm_wmma_universal_preshuffle_f8_f8_bf16_mk_wmma_mn_default_instance_p2.cpp
|
||||
device_gemm_wmma_universal_preshuffle_f8_f8_bf16/device_gemm_wmma_universal_preshuffle_f8_f8_bf16_mk_wmma_mn_default_instance_p3.cpp
|
||||
device_gemm_wmma_universal_preshuffle_f8_f8_bf16/device_gemm_wmma_universal_preshuffle_f8_f8_bf16_mk_wmma_mn_default_instance_p4.cpp
|
||||
)
|
||||
|
||||
# F8_F8_F16
|
||||
@@ -43,6 +47,10 @@ list(APPEND GEMM_UNIVERSAL_INSTANCES
|
||||
device_gemm_xdl_universal_preshuffle_f8_f8_f16/device_gemm_universal_preshuffle_xdl_f8_f8_f16_mk_mfma16x16_mn_compute_default_instance_p4.cpp
|
||||
device_gemm_xdl_universal_preshuffle_f8_f8_f16/device_gemm_universal_preshuffle_xdl_f8_f8_f16_mk_mfma16x16_mn_compute_default_instance_p5.cpp
|
||||
device_gemm_xdl_universal_preshuffle_f8_f8_f16/device_gemm_universal_preshuffle_xdl_f8_f8_f16_mk_mfma16x16_mn_compute_default_instance_p6.cpp
|
||||
device_gemm_wmma_universal_preshuffle_f8_f8_f16/device_gemm_wmma_universal_preshuffle_f8_f8_f16_mk_wmma_mn_default_instance_p1.cpp
|
||||
device_gemm_wmma_universal_preshuffle_f8_f8_f16/device_gemm_wmma_universal_preshuffle_f8_f8_f16_mk_wmma_mn_default_instance_p2.cpp
|
||||
device_gemm_wmma_universal_preshuffle_f8_f8_f16/device_gemm_wmma_universal_preshuffle_f8_f8_f16_mk_wmma_mn_default_instance_p3.cpp
|
||||
device_gemm_wmma_universal_preshuffle_f8_f8_f16/device_gemm_wmma_universal_preshuffle_f8_f8_f16_mk_wmma_mn_default_instance_p4.cpp
|
||||
)
|
||||
|
||||
# F8_F8_F16
|
||||
@@ -64,6 +72,10 @@ set_source_files_properties(device_gemm_xdl_universal_preshuffle_f8_f8_f16/devic
|
||||
set_source_files_properties(device_gemm_xdl_universal_preshuffle_f8_f8_f16/device_gemm_universal_preshuffle_xdl_f8_f8_f16_mk_mfma16x16_mn_compute_default_instance_p4.cpp PROPERTIES COMPILE_OPTIONS ";-mllvm;-greedy-reverse-local-assignment=1")
|
||||
set_source_files_properties(device_gemm_xdl_universal_preshuffle_f8_f8_f16/device_gemm_universal_preshuffle_xdl_f8_f8_f16_mk_mfma16x16_mn_compute_default_instance_p5.cpp PROPERTIES COMPILE_OPTIONS ";-mllvm;-greedy-reverse-local-assignment=1")
|
||||
set_source_files_properties(device_gemm_xdl_universal_preshuffle_f8_f8_f16/device_gemm_universal_preshuffle_xdl_f8_f8_f16_mk_mfma16x16_mn_compute_default_instance_p6.cpp PROPERTIES COMPILE_OPTIONS ";-mllvm;-greedy-reverse-local-assignment=1")
|
||||
set_source_files_properties(device_gemm_wmma_universal_preshuffle_f8_f8_f16/device_gemm_wmma_universal_preshuffle_f8_f8_f16_mk_wmma_mn_default_instance_p1.cpp PROPERTIES COMPILE_OPTIONS ";-mllvm;-greedy-reverse-local-assignment=1")
|
||||
set_source_files_properties(device_gemm_wmma_universal_preshuffle_f8_f8_f16/device_gemm_wmma_universal_preshuffle_f8_f8_f16_mk_wmma_mn_default_instance_p2.cpp PROPERTIES COMPILE_OPTIONS ";-mllvm;-greedy-reverse-local-assignment=1")
|
||||
set_source_files_properties(device_gemm_wmma_universal_preshuffle_f8_f8_f16/device_gemm_wmma_universal_preshuffle_f8_f8_f16_mk_wmma_mn_default_instance_p3.cpp PROPERTIES COMPILE_OPTIONS ";-mllvm;-greedy-reverse-local-assignment=1")
|
||||
set_source_files_properties(device_gemm_wmma_universal_preshuffle_f8_f8_f16/device_gemm_wmma_universal_preshuffle_f8_f8_f16_mk_wmma_mn_default_instance_p4.cpp PROPERTIES COMPILE_OPTIONS ";-mllvm;-greedy-reverse-local-assignment=1")
|
||||
|
||||
# F8_F8_BF16
|
||||
set_source_files_properties(device_gemm_xdl_universal_preshuffle_f8_f8_bf16/device_gemm_xdl_universal_preshuffle_f8_f8_f8_bf16_mk_mfma32x32_mn_default_instance.cpp PROPERTIES COMPILE_OPTIONS ";-mllvm;-greedy-reverse-local-assignment=1")
|
||||
@@ -81,5 +93,9 @@ set_source_files_properties(device_gemm_xdl_universal_preshuffle_f8_f8_bf16/devi
|
||||
set_source_files_properties(device_gemm_xdl_universal_preshuffle_f8_f8_bf16/device_gemm_xdl_universal_preshuffle_f8_f8_bf16_mk_mfma_mn_p5_default_instance.cpp PROPERTIES COMPILE_OPTIONS ";-mllvm;-greedy-reverse-local-assignment=1")
|
||||
set_source_files_properties(device_gemm_xdl_universal_preshuffle_f8_f8_bf16/device_gemm_xdl_universal_preshuffle_f8_f8_bf16_mk_mfma_nk_mn_comp_default_instance_p1.cpp PROPERTIES COMPILE_OPTIONS ";-mllvm;-greedy-reverse-local-assignment=1")
|
||||
set_source_files_properties(device_gemm_xdl_universal_preshuffle_f8_f8_bf16/device_gemm_xdl_universal_preshuffle_f8_f8_bf16_mk_mfma_nk_mn_comp_default_instance_p2.cpp PROPERTIES COMPILE_OPTIONS ";-mllvm;-greedy-reverse-local-assignment=1")
|
||||
set_source_files_properties(device_gemm_wmma_universal_preshuffle_f8_f8_bf16/device_gemm_wmma_universal_preshuffle_f8_f8_bf16_mk_wmma_mn_default_instance_p1.cpp PROPERTIES COMPILE_OPTIONS ";-mllvm;-greedy-reverse-local-assignment=1")
|
||||
set_source_files_properties(device_gemm_wmma_universal_preshuffle_f8_f8_bf16/device_gemm_wmma_universal_preshuffle_f8_f8_bf16_mk_wmma_mn_default_instance_p2.cpp PROPERTIES COMPILE_OPTIONS ";-mllvm;-greedy-reverse-local-assignment=1")
|
||||
set_source_files_properties(device_gemm_wmma_universal_preshuffle_f8_f8_bf16/device_gemm_wmma_universal_preshuffle_f8_f8_bf16_mk_wmma_mn_default_instance_p3.cpp PROPERTIES COMPILE_OPTIONS ";-mllvm;-greedy-reverse-local-assignment=1")
|
||||
set_source_files_properties(device_gemm_wmma_universal_preshuffle_f8_f8_bf16/device_gemm_wmma_universal_preshuffle_f8_f8_bf16_mk_wmma_mn_default_instance_p4.cpp PROPERTIES COMPILE_OPTIONS ";-mllvm;-greedy-reverse-local-assignment=1")
|
||||
|
||||
add_instance_library(device_gemm_universal_preshuffle_instance ${GEMM_UNIVERSAL_INSTANCES})
|
||||
|
||||
@@ -0,0 +1,106 @@
|
||||
// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
|
||||
// SPDX-License-Identifier: MIT
|
||||
|
||||
#include "ck/ck.hpp"
|
||||
#include "ck/library/tensor_operation_instance/add_device_operation_instance.hpp"
|
||||
#include "ck/tensor_operation/gpu/device/gemm_specialization.hpp"
|
||||
#include "ck/tensor_operation/gpu/device/impl/device_gemm_wmma_cshuffle_v3_b_preshuffle.hpp"
|
||||
#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
|
||||
#include "ck/tensor_operation/gpu/element/unary_element_wise_operation.hpp"
|
||||
#include "ck/utility/amd_ck_fp8.hpp"
|
||||
#include "ck/utility/data_type.hpp"
|
||||
#include "ck/utility/scheduler_enum.hpp"
|
||||
#include "ck/utility/sequence.hpp"
|
||||
|
||||
#include <tuple>
|
||||
|
||||
namespace ck {
|
||||
namespace tensor_operation {
|
||||
namespace device {
|
||||
namespace instance {
|
||||
|
||||
using F8 = f8_t;
|
||||
using BF16 = bhalf_t;
|
||||
using F32 = float;
|
||||
|
||||
using Row = tensor_layout::gemm::RowMajor;
|
||||
using Col = tensor_layout::gemm::ColumnMajor;
|
||||
|
||||
template <index_t... Is>
|
||||
using S = Sequence<Is...>;
|
||||
|
||||
using PassThrough = element_wise::PassThrough;
|
||||
|
||||
static constexpr auto GemmDefault = GemmSpecialization::Default;
|
||||
|
||||
static constexpr auto Intrawave = BlockGemmPipelineScheduler::Intrawave;
|
||||
|
||||
static constexpr auto v1 = BlockGemmPipelineVersion::v1;
|
||||
|
||||
template <GemmSpecialization GemmSpec>
|
||||
using device_gemm_universal_preshuffle_wmma_f8_f8_bf16_mk_wmma_mn_instances_p1 = std::tuple<
|
||||
// clang-format off
|
||||
//#####################################| ALayout| BLayout| CLayout|AData| BData| CData| AccData| Cshuffle| A| B| C| 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| CShuffleBlockTransfer| BlkGemmPipeSched| BlkGemmPipelineVer| ComputeTypeA|
|
||||
//#####################################| | | | Type| Type| Type| Type| Type| 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| ScalarPerVector| | | |
|
||||
//#####################################| | | | | | | | | Operation| Operation| Operation| | | | | | | | | | | | Lengths_AK0_M_AK1| ArrangeOrder| | | PerVector| PerVector_AK1| | Lengths_BK0_N_BK1| ArrangeOrder| | | PerVector| PerVector_BK1| | PerShuffle| PerShuffle| _MBlock_MPerBlock| | | | |
|
||||
//#####################################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | _NBlock_NPerBlock| | | | |
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 32, 128, 128, 16, 16, 16, 16, 2, 1, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 8, 1, 32>, S<4, 4, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 64, 128, 128, 16, 16, 16, 16, 4, 1, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 16, 1, 16>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 64, 256, 128, 16, 16, 16, 16, 4, 2, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 16, 1, 16>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 32, 256, 128, 16, 16, 16, 16, 2, 2, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 16, 1, 16>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 128, 128, 128, 16, 16, 16, 16, 8, 1, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 16, 1, 16>, S<8, 8, 1>, Intrawave, v1, F8 >
|
||||
// clang-format on
|
||||
>;
|
||||
|
||||
template <GemmSpecialization GemmSpec>
|
||||
using device_gemm_universal_preshuffle_wmma_f8_f8_bf16_mk_wmma_mn_instances_p2 = std::tuple<
|
||||
// clang-format off
|
||||
//#####################################| ALayout| BLayout| CLayout|AData| BData| CData| AccData| Cshuffle| A| B| C| 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| CShuffleBlockTransfer| BlkGemmPipeSched| BlkGemmPipelineVer| ComputeTypeA|
|
||||
//#####################################| | | | Type| Type| Type| Type| Type| 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| ScalarPerVector| | | |
|
||||
//#####################################| | | | | | | | | Operation| Operation| Operation| | | | | | | | | | | | Lengths_AK0_M_AK1| ArrangeOrder| | | PerVector| PerVector_AK1| | Lengths_BK0_N_BK1| ArrangeOrder| | | PerVector| PerVector_BK1| | PerShuffle| PerShuffle| _MBlock_MPerBlock| | | | |
|
||||
//#####################################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | _NBlock_NPerBlock| | | | |
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 128, 256, 128, 16, 16, 16, 16, 8, 2, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 16, 1, 16>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 256, 128, 128, 16, 16, 16, 16, 8, 2, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 32, 1, 8>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 256, 128, 128, 16, 16, 16, 16, 16, 1, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 16, 1, 16>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 128, 256, 64, 128, 16, 16, 16, 16, 16, 1, S<8, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 16, 1, 8>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 128, 128, 64, 128, 16, 16, 16, 16, 8, 1, S<8, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 16, 1, 8>, S<8, 8, 1>, Intrawave, v1, F8 >
|
||||
// clang-format on
|
||||
>;
|
||||
|
||||
template <GemmSpecialization GemmSpec>
|
||||
using device_gemm_universal_preshuffle_wmma_f8_f8_bf16_mk_wmma_mn_instances_p3 = std::tuple<
|
||||
// clang-format off
|
||||
//#####################################| ALayout| BLayout| CLayout|AData| BData| CData| AccData| Cshuffle| A| B| C| 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| CShuffleBlockTransfer| BlkGemmPipeSched| BlkGemmPipelineVer| ComputeTypeA|
|
||||
//#####################################| | | | Type| Type| Type| Type| Type| 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| ScalarPerVector| | | |
|
||||
//#####################################| | | | | | | | | Operation| Operation| Operation| | | | | | | | | | | | Lengths_AK0_M_AK1| ArrangeOrder| | | PerVector| PerVector_AK1| | Lengths_BK0_N_BK1| ArrangeOrder| | | PerVector| PerVector_BK1| | PerShuffle| PerShuffle| _MBlock_MPerBlock| | | | |
|
||||
//#####################################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | _NBlock_NPerBlock| | | | |
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 32, 128, 256, 16, 16, 16, 16, 2, 1, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 16, 1, 16>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 64, 128, 256, 16, 16, 16, 16, 4, 1, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 16, 1, 16>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 16, 128, 256, 16, 16, 16, 16, 1, 1, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 16, 1, 16>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 16, 256, 256, 16, 16, 16, 16, 1, 2, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 16, 1, 16>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 16, 512, 256, 16, 16, 16, 16, 1, 4, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 16, 1, 16>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 128, 128, 256, 16, 16, 16, 16, 8, 1, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 16, 1, 16>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 128, 128, 64, 256, 16, 16, 16, 16, 8, 1, S<16, 8, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<16, 8, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 16, 1, 8>, S<8, 8, 1>, Intrawave, v1, F8 >
|
||||
// clang-format on
|
||||
>;
|
||||
|
||||
template <GemmSpecialization GemmSpec>
|
||||
using device_gemm_universal_preshuffle_wmma_f8_f8_bf16_mk_wmma_mn_instances_p4 = std::tuple<
|
||||
// clang-format off
|
||||
//#####################################| ALayout| BLayout| CLayout|AData| BData| CData| AccData| Cshuffle| A| B| C| 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| CShuffleBlockTransfer| BlkGemmPipeSched| BlkGemmPipelineVer| ComputeTypeA|
|
||||
//#####################################| | | | Type| Type| Type| Type| Type| 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| ScalarPerVector| | | |
|
||||
//#####################################| | | | | | | | | Operation| Operation| Operation| | | | | | | | | | | | Lengths_AK0_M_AK1| ArrangeOrder| | | PerVector| PerVector_AK1| | Lengths_BK0_N_BK1| ArrangeOrder| | | PerVector| PerVector_BK1| | PerShuffle| PerShuffle| _MBlock_MPerBlock| | | | |
|
||||
//#####################################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | _NBlock_NPerBlock| | | | |
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 224, 256, 128, 16, 16, 16, 16, 7, 4, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 32, 1, 8>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 224, 128, 128, 16, 16, 16, 16, 7, 2, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 32, 1, 8>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 224, 64, 128, 16, 16, 16, 16, 7, 1, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 32, 1, 8>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 256, 224, 128, 16, 16, 16, 16, 4, 7, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 64, 1, 4>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 128, 224, 128, 16, 16, 16, 16, 2, 7, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 64, 1, 4>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 64, 224, 128, 16, 16, 16, 16, 1, 7, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 64, 1, 4>, S<8, 8, 1>, Intrawave, v1, F8 >
|
||||
// clang-format on
|
||||
>;
|
||||
|
||||
} // namespace instance
|
||||
} // namespace device
|
||||
} // namespace tensor_operation
|
||||
} // namespace ck
|
||||
@@ -0,0 +1,33 @@
|
||||
// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
|
||||
// SPDX-License-Identifier: MIT
|
||||
|
||||
#include "device_gemm_wmma_universal_preshuffle_f8_f8_bf16_mk_wmma_mn.hpp"
|
||||
|
||||
#include <memory>
|
||||
#include <vector>
|
||||
|
||||
namespace ck {
|
||||
namespace tensor_operation {
|
||||
namespace device {
|
||||
namespace instance {
|
||||
|
||||
void add_device_gemm_universal_preshuffle_wmma_f8_f8_bf16_mk_wmma_mn_default_instances_p1(
|
||||
std::vector<std::unique_ptr<DeviceGemmV2BPreshuffle<Row,
|
||||
Col,
|
||||
Row,
|
||||
F8,
|
||||
F8,
|
||||
BF16,
|
||||
PassThrough,
|
||||
PassThrough,
|
||||
PassThrough>>>& instances)
|
||||
{
|
||||
add_device_operation_instances(
|
||||
instances,
|
||||
device_gemm_universal_preshuffle_wmma_f8_f8_bf16_mk_wmma_mn_instances_p1<GemmDefault>{});
|
||||
}
|
||||
|
||||
} // namespace instance
|
||||
} // namespace device
|
||||
} // namespace tensor_operation
|
||||
} // namespace ck
|
||||
@@ -0,0 +1,33 @@
|
||||
// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
|
||||
// SPDX-License-Identifier: MIT
|
||||
|
||||
#include "device_gemm_wmma_universal_preshuffle_f8_f8_bf16_mk_wmma_mn.hpp"
|
||||
|
||||
#include <memory>
|
||||
#include <vector>
|
||||
|
||||
namespace ck {
|
||||
namespace tensor_operation {
|
||||
namespace device {
|
||||
namespace instance {
|
||||
|
||||
void add_device_gemm_universal_preshuffle_wmma_f8_f8_bf16_mk_wmma_mn_default_instances_p2(
|
||||
std::vector<std::unique_ptr<DeviceGemmV2BPreshuffle<Row,
|
||||
Col,
|
||||
Row,
|
||||
F8,
|
||||
F8,
|
||||
BF16,
|
||||
PassThrough,
|
||||
PassThrough,
|
||||
PassThrough>>>& instances)
|
||||
{
|
||||
add_device_operation_instances(
|
||||
instances,
|
||||
device_gemm_universal_preshuffle_wmma_f8_f8_bf16_mk_wmma_mn_instances_p2<GemmDefault>{});
|
||||
}
|
||||
|
||||
} // namespace instance
|
||||
} // namespace device
|
||||
} // namespace tensor_operation
|
||||
} // namespace ck
|
||||
@@ -0,0 +1,33 @@
|
||||
// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
|
||||
// SPDX-License-Identifier: MIT
|
||||
|
||||
#include "device_gemm_wmma_universal_preshuffle_f8_f8_bf16_mk_wmma_mn.hpp"
|
||||
|
||||
#include <memory>
|
||||
#include <vector>
|
||||
|
||||
namespace ck {
|
||||
namespace tensor_operation {
|
||||
namespace device {
|
||||
namespace instance {
|
||||
|
||||
void add_device_gemm_universal_preshuffle_wmma_f8_f8_bf16_mk_wmma_mn_default_instances_p3(
|
||||
std::vector<std::unique_ptr<DeviceGemmV2BPreshuffle<Row,
|
||||
Col,
|
||||
Row,
|
||||
F8,
|
||||
F8,
|
||||
BF16,
|
||||
PassThrough,
|
||||
PassThrough,
|
||||
PassThrough>>>& instances)
|
||||
{
|
||||
add_device_operation_instances(
|
||||
instances,
|
||||
device_gemm_universal_preshuffle_wmma_f8_f8_bf16_mk_wmma_mn_instances_p3<GemmDefault>{});
|
||||
}
|
||||
|
||||
} // namespace instance
|
||||
} // namespace device
|
||||
} // namespace tensor_operation
|
||||
} // namespace ck
|
||||
@@ -0,0 +1,33 @@
|
||||
// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
|
||||
// SPDX-License-Identifier: MIT
|
||||
|
||||
#include "device_gemm_wmma_universal_preshuffle_f8_f8_bf16_mk_wmma_mn.hpp"
|
||||
|
||||
#include <memory>
|
||||
#include <vector>
|
||||
|
||||
namespace ck {
|
||||
namespace tensor_operation {
|
||||
namespace device {
|
||||
namespace instance {
|
||||
|
||||
void add_device_gemm_universal_preshuffle_wmma_f8_f8_bf16_mk_wmma_mn_default_instances_p4(
|
||||
std::vector<std::unique_ptr<DeviceGemmV2BPreshuffle<Row,
|
||||
Col,
|
||||
Row,
|
||||
F8,
|
||||
F8,
|
||||
BF16,
|
||||
PassThrough,
|
||||
PassThrough,
|
||||
PassThrough>>>& instances)
|
||||
{
|
||||
add_device_operation_instances(
|
||||
instances,
|
||||
device_gemm_universal_preshuffle_wmma_f8_f8_bf16_mk_wmma_mn_instances_p4<GemmDefault>{});
|
||||
}
|
||||
|
||||
} // namespace instance
|
||||
} // namespace device
|
||||
} // namespace tensor_operation
|
||||
} // namespace ck
|
||||
@@ -0,0 +1,106 @@
|
||||
// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
|
||||
// SPDX-License-Identifier: MIT
|
||||
|
||||
#include "ck/ck.hpp"
|
||||
#include "ck/library/tensor_operation_instance/add_device_operation_instance.hpp"
|
||||
#include "ck/tensor_operation/gpu/device/gemm_specialization.hpp"
|
||||
#include "ck/tensor_operation/gpu/device/impl/device_gemm_wmma_cshuffle_v3_b_preshuffle.hpp"
|
||||
#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
|
||||
#include "ck/tensor_operation/gpu/element/unary_element_wise_operation.hpp"
|
||||
#include "ck/utility/amd_ck_fp8.hpp"
|
||||
#include "ck/utility/data_type.hpp"
|
||||
#include "ck/utility/scheduler_enum.hpp"
|
||||
#include "ck/utility/sequence.hpp"
|
||||
|
||||
#include <tuple>
|
||||
|
||||
namespace ck {
|
||||
namespace tensor_operation {
|
||||
namespace device {
|
||||
namespace instance {
|
||||
|
||||
using F8 = f8_t;
|
||||
using F16 = half_t;
|
||||
using F32 = float;
|
||||
|
||||
using Row = tensor_layout::gemm::RowMajor;
|
||||
using Col = tensor_layout::gemm::ColumnMajor;
|
||||
|
||||
template <index_t... Is>
|
||||
using S = Sequence<Is...>;
|
||||
|
||||
using PassThrough = element_wise::PassThrough;
|
||||
|
||||
static constexpr auto GemmDefault = GemmSpecialization::Default;
|
||||
|
||||
static constexpr auto Intrawave = BlockGemmPipelineScheduler::Intrawave;
|
||||
|
||||
static constexpr auto v1 = BlockGemmPipelineVersion::v1;
|
||||
|
||||
template <GemmSpecialization GemmSpec>
|
||||
using device_gemm_universal_preshuffle_wmma_f8_f8_f16_mk_wmma_mn_instances_p1 = std::tuple<
|
||||
// clang-format off
|
||||
//#####################################| ALayout| BLayout| CLayout|AData| BData| CData| AccData| Cshuffle| A| B| C| 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| CShuffleBlockTransfer| BlkGemmPipeSched| BlkGemmPipelineVer| ComputeTypeA|
|
||||
//#####################################| | | | Type| Type| Type| Type| Type| 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| ScalarPerVector| | | |
|
||||
//#####################################| | | | | | | | | Operation| Operation| Operation| | | | | | | | | | | | Lengths_AK0_M_AK1| ArrangeOrder| | | PerVector| PerVector_AK1| | Lengths_BK0_N_BK1| ArrangeOrder| | | PerVector| PerVector_BK1| | PerShuffle| PerShuffle| _MBlock_MPerBlock| | | | |
|
||||
//#####################################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | _NBlock_NPerBlock| | | | |
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, F16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 32, 128, 128, 16, 16, 16, 16, 2, 1, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 8, 1, 32>, S<4, 4, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, F16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 64, 128, 128, 16, 16, 16, 16, 4, 1, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 16, 1, 16>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, F16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 64, 256, 128, 16, 16, 16, 16, 4, 2, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 16, 1, 16>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, F16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 32, 256, 128, 16, 16, 16, 16, 2, 2, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 16, 1, 16>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, F16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 128, 128, 128, 16, 16, 16, 16, 8, 1, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 16, 1, 16>, S<8, 8, 1>, Intrawave, v1, F8 >
|
||||
// clang-format on
|
||||
>;
|
||||
|
||||
template <GemmSpecialization GemmSpec>
|
||||
using device_gemm_universal_preshuffle_wmma_f8_f8_f16_mk_wmma_mn_instances_p2 = std::tuple<
|
||||
// clang-format off
|
||||
//#####################################| ALayout| BLayout| CLayout|AData| BData| CData| AccData| Cshuffle| A| B| C| 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| CShuffleBlockTransfer| BlkGemmPipeSched| BlkGemmPipelineVer| ComputeTypeA|
|
||||
//#####################################| | | | Type| Type| Type| Type| Type| 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| ScalarPerVector| | | |
|
||||
//#####################################| | | | | | | | | Operation| Operation| Operation| | | | | | | | | | | | Lengths_AK0_M_AK1| ArrangeOrder| | | PerVector| PerVector_AK1| | Lengths_BK0_N_BK1| ArrangeOrder| | | PerVector| PerVector_BK1| | PerShuffle| PerShuffle| _MBlock_MPerBlock| | | | |
|
||||
//#####################################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | _NBlock_NPerBlock| | | | |
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, F16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 128, 256, 128, 16, 16, 16, 16, 8, 2, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 16, 1, 16>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, F16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 256, 128, 128, 16, 16, 16, 16, 8, 2, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 32, 1, 8>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, F16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 256, 128, 128, 16, 16, 16, 16, 16, 1, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 16, 1, 16>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, F16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 128, 256, 64, 128, 16, 16, 16, 16, 16, 1, S<8, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 16, 1, 8>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, F16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 128, 128, 64, 128, 16, 16, 16, 16, 8, 1, S<8, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 16, 1, 8>, S<8, 8, 1>, Intrawave, v1, F8 >
|
||||
// clang-format on
|
||||
>;
|
||||
|
||||
template <GemmSpecialization GemmSpec>
|
||||
using device_gemm_universal_preshuffle_wmma_f8_f8_f16_mk_wmma_mn_instances_p3 = std::tuple<
|
||||
// clang-format off
|
||||
//#####################################| ALayout| BLayout| CLayout|AData| BData| CData| AccData| Cshuffle| A| B| C| 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| CShuffleBlockTransfer| BlkGemmPipeSched| BlkGemmPipelineVer| ComputeTypeA|
|
||||
//#####################################| | | | Type| Type| Type| Type| Type| 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| ScalarPerVector| | | |
|
||||
//#####################################| | | | | | | | | Operation| Operation| Operation| | | | | | | | | | | | Lengths_AK0_M_AK1| ArrangeOrder| | | PerVector| PerVector_AK1| | Lengths_BK0_N_BK1| ArrangeOrder| | | PerVector| PerVector_BK1| | PerShuffle| PerShuffle| _MBlock_MPerBlock| | | | |
|
||||
//#####################################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | _NBlock_NPerBlock| | | | |
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, F16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 32, 128, 256, 16, 16, 16, 16, 2, 1, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 16, 1, 16>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, F16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 64, 128, 256, 16, 16, 16, 16, 4, 1, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 16, 1, 16>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, F16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 16, 128, 256, 16, 16, 16, 16, 1, 1, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 16, 1, 16>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, F16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 16, 256, 256, 16, 16, 16, 16, 1, 2, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 16, 1, 16>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, F16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 16, 512, 256, 16, 16, 16, 16, 1, 4, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 16, 1, 16>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, F16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 128, 128, 256, 16, 16, 16, 16, 8, 1, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 16, 1, 16>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, F16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 128, 128, 64, 256, 16, 16, 16, 16, 8, 1, S<16, 8, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<16, 8, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 16, 1, 8>, S<8, 8, 1>, Intrawave, v1, F8 >
|
||||
// clang-format on
|
||||
>;
|
||||
|
||||
template <GemmSpecialization GemmSpec>
|
||||
using device_gemm_universal_preshuffle_wmma_f8_f8_f16_mk_wmma_mn_instances_p4 = std::tuple<
|
||||
// clang-format off
|
||||
//#####################################| ALayout| BLayout| CLayout|AData| BData| CData| AccData| Cshuffle| A| B| C| 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| CShuffleBlockTransfer| BlkGemmPipeSched| BlkGemmPipelineVer| ComputeTypeA|
|
||||
//#####################################| | | | Type| Type| Type| Type| Type| 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| ScalarPerVector| | | |
|
||||
//#####################################| | | | | | | | | Operation| Operation| Operation| | | | | | | | | | | | Lengths_AK0_M_AK1| ArrangeOrder| | | PerVector| PerVector_AK1| | Lengths_BK0_N_BK1| ArrangeOrder| | | PerVector| PerVector_BK1| | PerShuffle| PerShuffle| _MBlock_MPerBlock| | | | |
|
||||
//#####################################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | _NBlock_NPerBlock| | | | |
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, F16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 224, 256, 128, 16, 16, 16, 16, 7, 4, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 32, 1, 8>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, F16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 224, 128, 128, 16, 16, 16, 16, 7, 2, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 32, 1, 8>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, F16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 224, 64, 128, 16, 16, 16, 16, 7, 1, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 32, 1, 8>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, F16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 256, 224, 128, 16, 16, 16, 16, 4, 7, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 64, 1, 4>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, F16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 128, 224, 128, 16, 16, 16, 16, 2, 7, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 64, 1, 4>, S<8, 8, 1>, Intrawave, v1, F8 >,
|
||||
DeviceGemm_Wmma_CShuffleV3_BPreshuffle< Row, Col, Row, F8, F8, F16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 64, 224, 128, 16, 16, 16, 16, 1, 7, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 64, 1, 4>, S<8, 8, 1>, Intrawave, v1, F8 >
|
||||
// clang-format on
|
||||
>;
|
||||
|
||||
} // namespace instance
|
||||
} // namespace device
|
||||
} // namespace tensor_operation
|
||||
} // namespace ck
|
||||
@@ -0,0 +1,33 @@
|
||||
// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
|
||||
// SPDX-License-Identifier: MIT
|
||||
|
||||
#include "device_gemm_wmma_universal_preshuffle_f8_f8_f16_mk_wmma_mn.hpp"
|
||||
|
||||
#include <memory>
|
||||
#include <vector>
|
||||
|
||||
namespace ck {
|
||||
namespace tensor_operation {
|
||||
namespace device {
|
||||
namespace instance {
|
||||
|
||||
void add_device_gemm_universal_preshuffle_wmma_f8_f8_f16_mk_wmma_mn_default_instances_p1(
|
||||
std::vector<std::unique_ptr<DeviceGemmV2BPreshuffle<Row,
|
||||
Col,
|
||||
Row,
|
||||
F8,
|
||||
F8,
|
||||
F16,
|
||||
PassThrough,
|
||||
PassThrough,
|
||||
PassThrough>>>& instances)
|
||||
{
|
||||
add_device_operation_instances(
|
||||
instances,
|
||||
device_gemm_universal_preshuffle_wmma_f8_f8_f16_mk_wmma_mn_instances_p1<GemmDefault>{});
|
||||
}
|
||||
|
||||
} // namespace instance
|
||||
} // namespace device
|
||||
} // namespace tensor_operation
|
||||
} // namespace ck
|
||||
@@ -0,0 +1,33 @@
|
||||
// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
|
||||
// SPDX-License-Identifier: MIT
|
||||
|
||||
#include "device_gemm_wmma_universal_preshuffle_f8_f8_f16_mk_wmma_mn.hpp"
|
||||
|
||||
#include <memory>
|
||||
#include <vector>
|
||||
|
||||
namespace ck {
|
||||
namespace tensor_operation {
|
||||
namespace device {
|
||||
namespace instance {
|
||||
|
||||
void add_device_gemm_universal_preshuffle_wmma_f8_f8_f16_mk_wmma_mn_default_instances_p2(
|
||||
std::vector<std::unique_ptr<DeviceGemmV2BPreshuffle<Row,
|
||||
Col,
|
||||
Row,
|
||||
F8,
|
||||
F8,
|
||||
F16,
|
||||
PassThrough,
|
||||
PassThrough,
|
||||
PassThrough>>>& instances)
|
||||
{
|
||||
add_device_operation_instances(
|
||||
instances,
|
||||
device_gemm_universal_preshuffle_wmma_f8_f8_f16_mk_wmma_mn_instances_p2<GemmDefault>{});
|
||||
}
|
||||
|
||||
} // namespace instance
|
||||
} // namespace device
|
||||
} // namespace tensor_operation
|
||||
} // namespace ck
|
||||
@@ -0,0 +1,33 @@
|
||||
// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
|
||||
// SPDX-License-Identifier: MIT
|
||||
|
||||
#include "device_gemm_wmma_universal_preshuffle_f8_f8_f16_mk_wmma_mn.hpp"
|
||||
|
||||
#include <memory>
|
||||
#include <vector>
|
||||
|
||||
namespace ck {
|
||||
namespace tensor_operation {
|
||||
namespace device {
|
||||
namespace instance {
|
||||
|
||||
void add_device_gemm_universal_preshuffle_wmma_f8_f8_f16_mk_wmma_mn_default_instances_p3(
|
||||
std::vector<std::unique_ptr<DeviceGemmV2BPreshuffle<Row,
|
||||
Col,
|
||||
Row,
|
||||
F8,
|
||||
F8,
|
||||
F16,
|
||||
PassThrough,
|
||||
PassThrough,
|
||||
PassThrough>>>& instances)
|
||||
{
|
||||
add_device_operation_instances(
|
||||
instances,
|
||||
device_gemm_universal_preshuffle_wmma_f8_f8_f16_mk_wmma_mn_instances_p3<GemmDefault>{});
|
||||
}
|
||||
|
||||
} // namespace instance
|
||||
} // namespace device
|
||||
} // namespace tensor_operation
|
||||
} // namespace ck
|
||||
@@ -0,0 +1,33 @@
|
||||
// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
|
||||
// SPDX-License-Identifier: MIT
|
||||
|
||||
#include "device_gemm_wmma_universal_preshuffle_f8_f8_f16_mk_wmma_mn.hpp"
|
||||
|
||||
#include <memory>
|
||||
#include <vector>
|
||||
|
||||
namespace ck {
|
||||
namespace tensor_operation {
|
||||
namespace device {
|
||||
namespace instance {
|
||||
|
||||
void add_device_gemm_universal_preshuffle_wmma_f8_f8_f16_mk_wmma_mn_default_instances_p4(
|
||||
std::vector<std::unique_ptr<DeviceGemmV2BPreshuffle<Row,
|
||||
Col,
|
||||
Row,
|
||||
F8,
|
||||
F8,
|
||||
F16,
|
||||
PassThrough,
|
||||
PassThrough,
|
||||
PassThrough>>>& instances)
|
||||
{
|
||||
add_device_operation_instances(
|
||||
instances,
|
||||
device_gemm_universal_preshuffle_wmma_f8_f8_f16_mk_wmma_mn_instances_p4<GemmDefault>{});
|
||||
}
|
||||
|
||||
} // namespace instance
|
||||
} // namespace device
|
||||
} // namespace tensor_operation
|
||||
} // namespace ck
|
||||
@@ -2,8 +2,8 @@
|
||||
# SPDX-License-Identifier: MIT
|
||||
|
||||
if(GPU_TARGETS MATCHES "gfx9[45]|gfx12")
|
||||
add_gtest_executable(test_gemm_universal_preshuffle_xdl_fp8 test_gemm_universal_preshuffle_xdl_fp8.cpp)
|
||||
add_gtest_executable(test_gemm_universal_preshuffle_fp8 test_gemm_universal_preshuffle_fp8.cpp)
|
||||
if(result EQUAL 0)
|
||||
target_link_libraries(test_gemm_universal_preshuffle_xdl_fp8 PRIVATE utility device_gemm_universal_preshuffle_instance)
|
||||
target_link_libraries(test_gemm_universal_preshuffle_fp8 PRIVATE utility device_gemm_universal_preshuffle_instance)
|
||||
endif()
|
||||
endif()
|
||||
|
||||
Reference in New Issue
Block a user