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Introduce gemm_softmax_gemm to codegen (#1542)
* Introduce ck_host library and gemm_softmax_gemm. * Minor refactor. * Add descriptor to gemm_softmax_gemm. * Bugfix. * Revert ck_host library. * fix clang format --------- Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com> Co-authored-by: illsilin <Illia.Silin@amd.com>
This commit is contained in:
Mirza Halilčević
@@ -0,0 +1,61 @@
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
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#pragma once
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#include <cstdlib>
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#include <vector>
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#include <string>
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#include "ck/host/types.hpp"
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#include "ck/host/operation/gemm.hpp"
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#include "ck/host/device_batched_gemm_softmax_gemm/problem.hpp"
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namespace ck {
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namespace host {
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namespace device_batched_gemm_softmax_gemm {
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// defines all values need for an instance of fwd conv
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struct Operation_Xdl_CShuffle
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{
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// returns a vector of instances, only given fusion operators: will use default problem spec
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static std::vector<std::vector<Operation_Xdl_CShuffle>>
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CreateOperations(const std::string& prologue, const std::string& epilogue);
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// returns a vector of instances, given a problem spec and fusion operators
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static std::vector<Operation_Xdl_CShuffle>
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CreateOperations(const Problem& prob, const std::string& prologue, const std::string& epilogue);
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TensorDesc A{};
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TensorDesc B{};
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TensorDesc B1{};
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TensorDesc C{};
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DataType acc = DataType::Float;
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DataType cs_type = DataType::Half;
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std::string a_elem_op = PassThrough;
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std::string b_elem_op = PassThrough;
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std::string b1_elem_op = PassThrough;
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std::string c_elem_op = PassThrough;
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std::string acc_elem_op = Scale;
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std::string prologue = "";
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std::string epilogue = "";
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std::string gemm_specialization = "ck::tensor_operation::device::GemmSpecialization::Default";
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// tuning parameters
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operation::TileDescGemmGemm tile_desc{};
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operation::BlockTransferDesc a_block_transfer{};
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operation::BlockTransferDesc b0_block_transfer{};
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operation::BlockTransferDesc b1_block_transfer{};
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operation::CShuffleDesc cshuffle{};
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operation::CBlockTransferDesc c_block_transfer{};
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bool mask_out_upper_triangle = false;
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// functions to update fusion operators if provided
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void update_prologue(const std::string& prologue);
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void update_epilogue(const std::string& epilogue);
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/**constexpr**/ bool
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IsSupported(std::size_t MRaw_, std::size_t NRaw_, std::size_t KRaw_, std::size_t Gemm1NRaw_);
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// returns a templated instance
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Solution ToSolution() const;
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};
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} // namespace device_batched_gemm_softmax_gemm
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} // namespace host
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} // namespace ck
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@@ -0,0 +1,47 @@
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
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#pragma once
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#include <cstdlib>
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#include <vector>
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#include <string>
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#include "ck/host/types.hpp"
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namespace ck {
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namespace host {
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namespace device_batched_gemm_softmax_gemm {
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// defines the problem specification for a GEMM operation
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struct Problem
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{
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std::size_t M = 0;
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std::size_t N = 0;
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std::size_t K = 0;
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std::size_t O = 0;
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bool TransA = false;
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bool TransB = false;
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bool TransB1 = false;
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bool TransC = false;
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DataType ADataType = DataType::Half;
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DataType BDataType = DataType::Half;
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DataType B1DataType = DataType::Half;
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DataType CDataType = DataType::Half;
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std::string AElementOp = PassThrough;
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std::string BElementOp = PassThrough;
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std::string B1ElementOp = PassThrough;
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std::string CElementOp = PassThrough;
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std::string AccElementOp = Scale;
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// returns the correct device op file for the operation
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std::string GetIncludeHeader() const;
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// returns a list of instances based on the problem spec and provided fusion operations
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std::vector<Solution> GetSolutions(const std::string& arch,
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const std::string& prologue,
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const std::string& epilogue) const;
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};
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} // namespace device_batched_gemm_softmax_gemm
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} // namespace host
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} // namespace ck
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@@ -41,6 +41,8 @@ struct Operation_Xdl_CShuffle
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operation::BlockTransferDesc b_block_transfer{};
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operation::CShuffleDesc cshuffle{};
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operation::CBlockTransferDesc c_block_transfer{};
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LoopScheduler loop_scheduler{};
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PipelineVersion pipeline_version{};
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// functions to update fusion operators if provided
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void update_prologue(const std::string& prologue);
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@@ -23,6 +23,26 @@ struct TileDesc
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int n_Xdl_per_wave = 0;
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int num_gemmk_prefetch_stage = 0;
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};
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struct TileDescGemmGemm
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{
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int block_size = 0;
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int gemm01_m_per_block = 0;
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int gemm0_n_per_block = 0;
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int gemm0_k_per_block = 0;
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int gemm1_n_per_block = 0;
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int gemm1_k_per_block = 0;
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int ak1 = 0;
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int bk1 = 0;
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int b1k1 = 0;
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int m_per_XDL = 0;
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int n_per_XDL = 0;
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int gemm0_m_Xdl_per_wave = 0;
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int gemm0_n_Xdl_per_wave = 0;
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int gemm1_n_Xdl_per_wave = 0;
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int num_gemmk_prefetch_stage = 0;
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};
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struct BlockTransferDesc
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{
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std::string thread_cluster_length = "";
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@@ -66,6 +66,20 @@ enum class GemmType
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};
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std::string ToString(GemmType gt);
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enum class LoopScheduler
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{
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Default,
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Interwave,
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};
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std::string ToString(LoopScheduler ls);
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enum class PipelineVersion
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{
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v1,
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v2
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};
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std::string ToString(PipelineVersion pv);
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struct TensorDesc
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{
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DataType element;
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@@ -84,6 +98,7 @@ const std::string S = SequenceStr({xs...});
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constexpr const char* PassThrough = "ck::tensor_operation::element_wise::PassThrough";
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constexpr const char* Bilinear = "ck::tensor_operation::element_wise::Bilinear";
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constexpr const char* Scale = "ck::tensor_operation::element_wise::Scale";
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} // namespace host
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} // namespace ck
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38
codegen/src/device_batched_gemm_softmax_gemm.cpp
Normal file
38
codegen/src/device_batched_gemm_softmax_gemm.cpp
Normal file
@@ -0,0 +1,38 @@
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
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#include "ck/host/device_batched_gemm_softmax_gemm/problem.hpp"
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#include "ck/host/device_batched_gemm_softmax_gemm/operation.hpp"
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#include "ck/host/utils.hpp"
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#include <algorithm>
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namespace ck {
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namespace host {
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namespace device_batched_gemm_softmax_gemm {
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// return the relevant device op file based on the operation
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std::string Problem::GetIncludeHeader() const
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{
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return "ck/tensor_operation/gpu/device/impl/device_batched_gemm_softmax_gemm_xdl_cshuffle.hpp";
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}
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// returns templated instances when provided with a problem specification
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std::vector<Solution> Problem::GetSolutions(const std::string& arch,
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const std::string& prologue,
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const std::string& epilogue) const
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{
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if(get_xdlop_archs().count(arch) == 0)
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return {};
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auto ops = ck::host::device_batched_gemm_softmax_gemm::Operation_Xdl_CShuffle::CreateOperations(
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*this, prologue, epilogue); // obtains vector of instances
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std::vector<Solution> result;
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std::transform(ops.begin(), ops.end(), std::back_inserter(result), [&](const auto& op) {
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return op.ToSolution(); // template instance with correct values
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});
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return result;
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}
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} // namespace device_batched_gemm_softmax_gemm
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} // namespace host
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} // namespace ck
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@@ -0,0 +1,408 @@
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
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#include "ck/host/device_batched_gemm_softmax_gemm/operation.hpp"
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#include "ck/host/stringutils.hpp"
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#include "ck/host/utils.hpp"
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#include <cassert>
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namespace ck {
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namespace host {
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namespace device_batched_gemm_softmax_gemm {
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// calculate appropriate Gemm Specification based on input tensor dimensions
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std::string GetGemmSpec(const std::size_t m,
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const std::size_t n,
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const std::size_t k,
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const std::size_t n1,
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const std::size_t m_per_block,
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const std::size_t n_per_block,
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const std::size_t k_per_block,
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const std::size_t n1_per_block)
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{
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std::string spec = "";
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if(integer_divide_ceil(m, m_per_block) * m_per_block - m != 0)
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spec += "M";
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if(integer_divide_ceil(n, n_per_block) * n_per_block - n != 0)
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spec += "N";
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if(integer_divide_ceil(k, k_per_block) * k_per_block - k != 0)
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spec += "K";
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if(integer_divide_ceil(n1, n1_per_block) * n1_per_block - n1 != 0)
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spec += "O";
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if(spec == "")
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return "ck::tensor_operation::device::GemmSpecialization::Default";
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return "ck::tensor_operation::device::GemmSpecialization::" + spec + "Padding";
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}
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// function to update prologue/epilogue with user provided operation
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void Operation_Xdl_CShuffle::update_prologue(const std::string& pro)
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{
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if(!prologue.empty())
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{
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this->prologue = pro;
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}
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else
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{
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this->prologue = "";
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}
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}
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void Operation_Xdl_CShuffle::update_epilogue(const std::string& epi)
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{
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if(!epilogue.empty())
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{
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this->epilogue = epi;
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}
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else
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{
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this->epilogue = "";
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}
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}
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// accounts for all possible combinations of Row/Col major
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static Layout ToLayout(bool Trans) { return Trans ? Layout::Column : Layout::Row; }
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// Hard-code tuning parameters in modularized fashion, string them together into a vector of
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// instances
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std::vector<Operation_Xdl_CShuffle> Operation_Xdl_CShuffle::CreateOperations(
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const Problem& prob, const std::string& prologue, const std::string& epilogue)
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{
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std::vector<Operation_Xdl_CShuffle> result;
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std::vector<operation::TileDescGemmGemm> tile_descriptions = {
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// clang-format off
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// Block| Gemm01| Gemm0| Gemm0| Gemm1| Gemm1| AK1| BK1| B1K1| MPer| NPer| Gemm0| Gemm0| Gemm1| NumGemmK|
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// Size| MPer| NPer| KPer| NPer| KPer| | | | XDL| XDL| MXdl| NXdl| NXdl| Prefetch|
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// | Block| Block| Block| Block| Block| | | | | | Per| Per| Per| Stage|
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// | | | | | | | | | | | Wave| Wave| Wave| |
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{ 256, 256, 128, 32, 64, 32, 8, 8, 2, 32, 32, 2, 4, 2, 1},
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{ 256, 256, 128, 32, 128, 32, 8, 8, 2, 32, 32, 2, 4, 4, 1},
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{ 256, 128, 256, 32, 64, 32, 8, 8, 2, 32, 32, 1, 8, 2, 1},
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{ 256, 128, 256, 32, 128, 32, 8, 8, 2, 32, 32, 1, 8, 4, 1},
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{ 256, 128, 128, 64, 64, 32, 8, 8, 2, 32, 32, 1, 4, 2, 1},
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{ 256, 128, 128, 32, 64, 32, 8, 8, 2, 32, 32, 1, 4, 2, 1},
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{ 256, 128, 128, 64, 128, 32, 8, 8, 2, 32, 32, 1, 4, 4, 1},
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{ 256, 128, 128, 32, 128, 32, 8, 8, 2, 32, 32, 1, 4, 4, 1},
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{ 256, 64, 256, 32, 128, 32, 8, 8, 2, 16, 16, 1, 16, 8, 1},
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{ 256, 64, 256, 32, 64, 32, 8, 8, 2, 16, 16, 1, 16, 4, 1},
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{ 256, 64, 256, 64, 128, 32, 8, 8, 2, 16, 16, 1, 16, 8, 1},
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{ 256, 64, 256, 64, 64, 32, 8, 8, 2, 16, 16, 1, 16, 4, 1},
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// Padded fallback kernel
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{ 256, 128, 128, 64, 128, 32, 8, 8, 2, 32, 32, 1, 4, 4, 1},
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{ 256, 128, 64, 32, 128, 32, 8, 8, 2, 32, 32, 1, 2, 4, 1},
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// Irregular k
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{ 256, 256, 128, 40, 64, 32, 4, 4, 2, 32, 32, 2, 4, 2, 1},
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{ 256, 256, 128, 40, 128, 32, 4, 4, 2, 32, 32, 2, 4, 4, 1},
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{ 256, 128, 256, 40, 64, 32, 4, 4, 2, 32, 32, 1, 8, 2, 1},
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{ 256, 128, 256, 40, 128, 32, 4, 4, 2, 32, 32, 1, 8, 4, 1},
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{ 256, 128, 128, 40, 64, 32, 4, 4, 2, 32, 32, 1, 4, 2, 1},
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{ 256, 128, 128, 40, 128, 32, 4, 4, 2, 32, 32, 1, 4, 4, 1},
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// clang-format on
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};
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const std::vector<operation::BlockTransferDesc> a_block_descriptions = {
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// clang-format off
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// ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds|
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// ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM|
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// Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| |
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// | | | | | | |
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{ S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true},
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{ S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true},
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{ S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true},
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{ S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true},
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{ S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, false},
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{ S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true},
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{ S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, false},
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{ S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true},
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{ S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true},
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{ S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true},
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{ S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true},
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{ S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true},
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// Padded fallback kernel
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{ S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, false},
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{ S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true},
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// Irregular k
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{ S<2,128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, false},
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{ S<2,128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, false},
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{ S<2,128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, false},
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{ S<2,128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, false},
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{ S<2,128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, false},
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{ S<2,128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, false},
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// clang-format on
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};
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const std::vector<operation::BlockTransferDesc> b1_block_descriptions = {
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// clang-format off
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// B1BlockTransfer| B1BlockTransfer| B1BlockTransfer| B1BlockTransfer| B1BlockTransfer| B1BlockTransfer| B1BlockLds|
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// ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN|
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// Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| |
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// | | | | | | |
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{ S<16, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, false},
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{ S< 8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, false},
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{ S<16, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, false},
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{ S< 8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, false},
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{ S<16, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, false},
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{ S<16, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, false},
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{ S< 8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, false},
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{ S< 8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, false},
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{ S< 8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, false},
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{ S<16, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, false},
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{ S< 8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, false},
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{ S<16, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, false},
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// Padded fallback kernel
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{ S< 8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, false},
|
||||
{ S< 8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, false},
|
||||
// Irregular k
|
||||
{ S<16, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, false},
|
||||
{ S< 8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, false},
|
||||
{ S<16, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, false},
|
||||
{ S< 8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, false},
|
||||
{ S<16, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, false},
|
||||
{ S< 8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 2, false},
|
||||
// clang-format on
|
||||
};
|
||||
|
||||
std::vector<operation::CShuffleDesc> cshuffle_descriptions = {
|
||||
// clang-format off
|
||||
// CShuffle| CShuffle|
|
||||
// MXdlPerWave| NXdlPerWave|
|
||||
// PerShuffle| PerShuffle|
|
||||
// | |
|
||||
{ 1, 2},
|
||||
{ 1, 2},
|
||||
{ 1, 2},
|
||||
{ 1, 2},
|
||||
{ 1, 2},
|
||||
{ 1, 2},
|
||||
{ 1, 2},
|
||||
{ 1, 2},
|
||||
{ 1, 8},
|
||||
{ 1, 4},
|
||||
{ 1, 8},
|
||||
{ 1, 4},
|
||||
// Padded fallback kernel
|
||||
{ 1, 2},
|
||||
{ 1, 2},
|
||||
// Irregular k
|
||||
{ 1, 2},
|
||||
{ 1, 2},
|
||||
{ 1, 2},
|
||||
{ 1, 2},
|
||||
{ 1, 2},
|
||||
{ 1, 2},
|
||||
// clang-format on
|
||||
};
|
||||
|
||||
std::vector<operation::CBlockTransferDesc> c_block_descriptions = {
|
||||
// clang-format off
|
||||
// CBlockTransferClusterLengths| CBlockTransfer
|
||||
// _MBlock_MWaveMPerXdl| ScalarPerVector
|
||||
// _NBlock_NWaveNPerXdl| _NWaveNPerXdl
|
||||
// |
|
||||
{ S<1, 32, 1, 8>, 8},
|
||||
{ S<1, 32, 1, 8>, 8},
|
||||
{ S<1, 32, 1, 8>, 8},
|
||||
{ S<1, 32, 1, 8>, 8},
|
||||
{ S<1, 32, 1, 8>, 8},
|
||||
{ S<1, 32, 1, 8>, 8},
|
||||
{ S<1, 32, 1, 8>, 8},
|
||||
{ S<1, 32, 1, 8>, 8},
|
||||
{ S<1, 16, 1,16>, 8},
|
||||
{ S<1, 32, 1, 8>, 8},
|
||||
{ S<1, 16, 1,16>, 8},
|
||||
{ S<1, 32, 1, 8>, 8},
|
||||
// Padded fallback kernel
|
||||
{ S<1, 32, 1, 8>, 8},
|
||||
{ S<1, 32, 1, 8>, 8},
|
||||
// Irregular k
|
||||
{ S<1, 32, 1, 8>, 8},
|
||||
{ S<1, 32, 1, 8>, 8},
|
||||
{ S<1, 32, 1, 8>, 8},
|
||||
{ S<1, 32, 1, 8>, 8},
|
||||
{ S<1, 32, 1, 8>, 8},
|
||||
{ S<1, 32, 1, 8>, 8},
|
||||
// clang-format on
|
||||
};
|
||||
|
||||
assert(tile_descriptions.size() == a_block_descriptions.size());
|
||||
assert(tile_descriptions.size() == b1_block_descriptions.size());
|
||||
assert(tile_descriptions.size() == cshuffle_descriptions.size());
|
||||
assert(tile_descriptions.size() == c_block_descriptions.size());
|
||||
|
||||
// Put all values together into a single operation > store into the result vector
|
||||
for(std::size_t i = 0; i < tile_descriptions.size(); i++)
|
||||
{
|
||||
Operation_Xdl_CShuffle x;
|
||||
x.tile_desc = tile_descriptions[i];
|
||||
x.a_block_transfer = a_block_descriptions[i];
|
||||
x.b0_block_transfer = a_block_descriptions[i]; // b0 same as a
|
||||
x.b1_block_transfer = b1_block_descriptions[i];
|
||||
x.cshuffle = cshuffle_descriptions[i];
|
||||
x.c_block_transfer = c_block_descriptions[i];
|
||||
x.A = TensorDesc{prob.ADataType, ToLayout(prob.TransA)};
|
||||
x.B = TensorDesc{prob.BDataType, ToLayout(prob.TransB)};
|
||||
x.B1 = TensorDesc{prob.B1DataType, ToLayout(prob.TransB1)};
|
||||
x.C = TensorDesc{prob.CDataType, ToLayout(prob.TransC)};
|
||||
x.a_elem_op = prob.AElementOp;
|
||||
x.b_elem_op = prob.BElementOp;
|
||||
x.b1_elem_op = prob.B1ElementOp;
|
||||
x.c_elem_op = prob.CElementOp;
|
||||
x.acc_elem_op = prob.AccElementOp;
|
||||
x.gemm_specialization = GetGemmSpec(prob.M,
|
||||
prob.N,
|
||||
prob.K,
|
||||
prob.O,
|
||||
x.tile_desc.gemm01_m_per_block,
|
||||
x.tile_desc.gemm0_n_per_block,
|
||||
x.tile_desc.gemm0_k_per_block,
|
||||
x.tile_desc.gemm1_n_per_block);
|
||||
x.update_prologue(prologue);
|
||||
x.update_epilogue(epilogue);
|
||||
x.mask_out_upper_triangle = true;
|
||||
result.push_back(x);
|
||||
|
||||
x.mask_out_upper_triangle = false;
|
||||
result.push_back(x);
|
||||
}
|
||||
return result;
|
||||
}
|
||||
|
||||
// set up instances when not provided with a problem specification, use default operation values and
|
||||
// all possible layout combinations
|
||||
std::vector<std::vector<Operation_Xdl_CShuffle>>
|
||||
Operation_Xdl_CShuffle::CreateOperations(const std::string& prologue, const std::string& epilogue)
|
||||
{
|
||||
Problem prob;
|
||||
prob.TransA = false;
|
||||
prob.TransB = true;
|
||||
prob.TransB1 = false;
|
||||
prob.TransC = false;
|
||||
|
||||
return {CreateOperations(prob, prologue, epilogue)};
|
||||
}
|
||||
|
||||
static const char* const DeviceBatchedGemmSoftmaxGemm_Xdl_CShuffleTemplate =
|
||||
"ck::tensor_operation::device::DeviceBatchedGemmSoftmaxGemm_Xdl_CShuffle<${LayoutA}, "
|
||||
"${LayoutB0}, ${LayoutB1}, ${LayoutC}, ${ADataType}, ${B0DataType}, ${B1DataType}, "
|
||||
"${CDataType}, ${AccDataType}, ${CShuffleDataType}, ${AElementwiseOperation}, "
|
||||
"${B0ElementwiseOperation}, ${Acc0ElementwiseOperation}, ${B1ElementwiseOperation}, "
|
||||
"${CElementwiseOperation}, ${GemmSpecialization}, ${NumGemmkPrefetchStage}, ${BlockSize}, "
|
||||
"${Gemm01MPerBlock}, ${Gemm0NPerBlock}, ${Gemm0KPerBlock}, ${Gemm1NPerBlock}, "
|
||||
"${Gemm1KPerBlock}, ${AK1}, ${BK1}, ${B1K1}, ${MPerXDL}, ${NPerXDL}, ${Gemm0MXdlPerWave}, "
|
||||
"${Gemm0NXdlPerWave}, ${Gemm1NXdlPerWave}, ${ABlockTransferThreadClusterLengths_AK0_M_AK1}, "
|
||||
"${ABlockTransferThreadClusterArrangeOrder}, ${ABlockTransferSrcAccessOrder}, "
|
||||
"${ABlockTransferSrcVectorDim}, ${ABlockTransferSrcScalarPerVector}, "
|
||||
"${ABlockTransferDstScalarPerVector_AK1}, ${ABlockLdsExtraM}, "
|
||||
"${B0BlockTransferThreadClusterLengths_BK0_N_BK1}, "
|
||||
"${B0BlockTransferThreadClusterArrangeOrder}, ${B0BlockTransferSrcAccessOrder}, "
|
||||
"${B0BlockTransferSrcVectorDim}, ${B0BlockTransferSrcScalarPerVector}, "
|
||||
"${B0BlockTransferDstScalarPerVector_BK1}, ${B0BlockLdsExtraN}, "
|
||||
"${B1BlockTransferThreadClusterLengths_BK0_N_BK1}, "
|
||||
"${B1BlockTransferThreadClusterArrangeOrder}, ${B1BlockTransferSrcAccessOrder}, "
|
||||
"${B1BlockTransferSrcVectorDim}, ${B1BlockTransferSrcScalarPerVector}, "
|
||||
"${B1BlockTransferDstScalarPerVector_BK1}, ${B1BlockLdsExtraN}, "
|
||||
"${CShuffleMXdlPerWavePerShuffle}, ${CShuffleNXdlPerWavePerShuffle}, "
|
||||
"${CBlockTransferClusterLengths_MBlock_MWaveMPerXdl_NBlock_NWaveNPerXdl}, "
|
||||
"${CBlockTransferScalarPerVector_NWaveNPerXdl}, ${MaskOutUpperTriangle}>";
|
||||
|
||||
// use hardcoded instances from vector of operations to substitute values into instance template
|
||||
Solution Operation_Xdl_CShuffle::ToSolution() const
|
||||
{
|
||||
std::unordered_map<std::string, std::string> values = {
|
||||
{"name",
|
||||
std::to_string(this->tile_desc.block_size) + "_" +
|
||||
std::to_string(this->tile_desc.gemm01_m_per_block) + "_" +
|
||||
std::to_string(this->tile_desc.gemm0_n_per_block) + "_" +
|
||||
std::to_string(this->tile_desc.gemm0_k_per_block) + "_" +
|
||||
std::to_string(this->tile_desc.gemm1_n_per_block) + "_" +
|
||||
std::to_string(this->tile_desc.gemm1_k_per_block) + "_" +
|
||||
std::to_string(this->tile_desc.ak1) + "_" + std::to_string(this->tile_desc.bk1) + "_" +
|
||||
std::to_string(this->tile_desc.b1k1) + "_" +
|
||||
std::to_string(this->tile_desc.m_per_XDL) + "_" +
|
||||
std::to_string(this->tile_desc.n_per_XDL) + "_" +
|
||||
std::to_string(this->tile_desc.gemm0_m_Xdl_per_wave) + "_" +
|
||||
std::to_string(this->tile_desc.gemm0_n_Xdl_per_wave) + "_" +
|
||||
std::to_string(this->tile_desc.gemm1_n_Xdl_per_wave)},
|
||||
{"LayoutA", ToString(this->A.layout)},
|
||||
{"LayoutB0", ToString(this->B.layout)},
|
||||
{"LayoutB1", ToString(this->B1.layout)},
|
||||
{"LayoutC", ToString(this->C.layout)},
|
||||
{"ADataType", ToString(this->A.element)},
|
||||
{"B0DataType", ToString(this->B.element)},
|
||||
{"B1DataType", ToString(this->B1.element)},
|
||||
{"CDataType", ToString(this->C.element)},
|
||||
{"AccDataType", ToString(this->acc)},
|
||||
{"CShuffleDataType", ToString(this->cs_type)},
|
||||
{"AElementwiseOperation", this->a_elem_op},
|
||||
{"B0ElementwiseOperation", this->b_elem_op},
|
||||
{"Acc0ElementwiseOperation", this->acc_elem_op},
|
||||
{"B1ElementwiseOperation", this->b1_elem_op},
|
||||
{"CElementwiseOperation", this->c_elem_op},
|
||||
{"GemmSpecialization", this->gemm_specialization},
|
||||
{"NumGemmkPrefetchStage", std::to_string(this->tile_desc.num_gemmk_prefetch_stage)},
|
||||
{"BlockSize", std::to_string(this->tile_desc.block_size)},
|
||||
{"Gemm01MPerBlock", std::to_string(this->tile_desc.gemm01_m_per_block)},
|
||||
{"Gemm0NPerBlock", std::to_string(this->tile_desc.gemm0_n_per_block)},
|
||||
{"Gemm0KPerBlock", std::to_string(this->tile_desc.gemm0_k_per_block)},
|
||||
{"Gemm1NPerBlock", std::to_string(this->tile_desc.gemm1_n_per_block)},
|
||||
{"Gemm1KPerBlock", std::to_string(this->tile_desc.gemm1_k_per_block)},
|
||||
{"AK1", std::to_string(this->tile_desc.ak1)},
|
||||
{"BK1", std::to_string(this->tile_desc.bk1)},
|
||||
{"B1K1", std::to_string(this->tile_desc.b1k1)},
|
||||
{"MPerXDL", std::to_string(this->tile_desc.m_per_XDL)},
|
||||
{"NPerXDL", std::to_string(this->tile_desc.n_per_XDL)},
|
||||
{"Gemm0MXdlPerWave", std::to_string(this->tile_desc.gemm0_m_Xdl_per_wave)},
|
||||
{"Gemm0NXdlPerWave", std::to_string(this->tile_desc.gemm0_n_Xdl_per_wave)},
|
||||
{"Gemm1NXdlPerWave", std::to_string(this->tile_desc.gemm1_n_Xdl_per_wave)},
|
||||
{"ABlockTransferThreadClusterLengths_AK0_M_AK1",
|
||||
this->a_block_transfer.thread_cluster_length},
|
||||
{"ABlockTransferThreadClusterArrangeOrder",
|
||||
this->a_block_transfer.thread_cluster_arrange_order},
|
||||
{"ABlockTransferSrcAccessOrder", this->a_block_transfer.src_access_order},
|
||||
{"ABlockTransferSrcVectorDim", std::to_string(this->a_block_transfer.src_vec_dim)},
|
||||
{"ABlockTransferSrcScalarPerVector",
|
||||
std::to_string(this->a_block_transfer.src_scalar_per_vector)},
|
||||
{"ABlockTransferDstScalarPerVector_AK1",
|
||||
std::to_string(this->a_block_transfer.dst_scalar_per_vector_k1)},
|
||||
{"ABlockLdsExtraM", std::to_string(this->a_block_transfer.lds_add_extra_dim)},
|
||||
{"B0BlockTransferThreadClusterLengths_BK0_N_BK1",
|
||||
this->b0_block_transfer.thread_cluster_length},
|
||||
{"B0BlockTransferThreadClusterArrangeOrder",
|
||||
this->b0_block_transfer.thread_cluster_arrange_order},
|
||||
{"B0BlockTransferSrcAccessOrder", this->b0_block_transfer.src_access_order},
|
||||
{"B0BlockTransferSrcVectorDim", std::to_string(this->b0_block_transfer.src_vec_dim)},
|
||||
{"B0BlockTransferSrcScalarPerVector",
|
||||
std::to_string(this->b0_block_transfer.src_scalar_per_vector)},
|
||||
{"B0BlockTransferDstScalarPerVector_BK1",
|
||||
std::to_string(this->b0_block_transfer.dst_scalar_per_vector_k1)},
|
||||
{"B0BlockLdsExtraN", std::to_string(this->b0_block_transfer.lds_add_extra_dim)},
|
||||
{"B1BlockTransferThreadClusterLengths_BK0_N_BK1",
|
||||
this->b1_block_transfer.thread_cluster_length},
|
||||
{"B1BlockTransferThreadClusterArrangeOrder",
|
||||
this->b1_block_transfer.thread_cluster_arrange_order},
|
||||
{"B1BlockTransferSrcAccessOrder", this->b1_block_transfer.src_access_order},
|
||||
{"B1BlockTransferSrcVectorDim", std::to_string(this->b1_block_transfer.src_vec_dim)},
|
||||
{"B1BlockTransferSrcScalarPerVector",
|
||||
std::to_string(this->b1_block_transfer.src_scalar_per_vector)},
|
||||
{"B1BlockTransferDstScalarPerVector_BK1",
|
||||
std::to_string(this->b1_block_transfer.dst_scalar_per_vector_k1)},
|
||||
{"B1BlockLdsExtraN", std::to_string(this->b1_block_transfer.lds_add_extra_dim)},
|
||||
{"CShuffleMXdlPerWavePerShuffle",
|
||||
std::to_string(this->cshuffle.m_Xdl_per_wave_per_shuffle)},
|
||||
{"CShuffleNXdlPerWavePerShuffle",
|
||||
std::to_string(this->cshuffle.n_Xdl_per_wave_per_shuffle)},
|
||||
{"CBlockTransferClusterLengths_MBlock_MWaveMPerXdl_NBlock_NWaveNPerXdl",
|
||||
this->c_block_transfer.cluster_lengths_m_block_m_wave_m_per_Xdl_n_block_n_wave_n_per_Xdl},
|
||||
{"CBlockTransferScalarPerVector_NWaveNPerXdl",
|
||||
std::to_string(this->c_block_transfer.scalar_per_vector_n_wave_n_per_Xdl)},
|
||||
{"MaskOutUpperTriangle", std::to_string(this->mask_out_upper_triangle)},
|
||||
};
|
||||
|
||||
return Solution{InterpolateString(DeviceBatchedGemmSoftmaxGemm_Xdl_CShuffleTemplate, values),
|
||||
std::move(values)};
|
||||
}
|
||||
|
||||
} // namespace device_batched_gemm_softmax_gemm
|
||||
} // namespace host
|
||||
} // namespace ck
|
||||
@@ -62,6 +62,12 @@ void Operation_Xdl_CShuffle::update_epilogue(const std::string& epi)
|
||||
// accounts for all possible combinations of Row/Col major
|
||||
static Layout ToLayout(bool Trans) { return Trans ? Layout::Column : Layout::Row; }
|
||||
|
||||
// clang-format off
|
||||
// DeviceGemmMultipleD_Xdl_CShuffle< Col, Row, Row_Row_Tuple, Row, F16, F16, F32, F32, F16_F16_Tuple, F16, PassThrough, PassThrough, AddAddFastGelu, GemmMNKPadding, 1, 64, 16, 16, 32, 8, 8, 16, 16, 1, 1, S<4, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 8, 1, S<4, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 8, 1, 1, 1, S<1, 16, 1, 4>, 1,
|
||||
|
||||
// DeviceGemmMultipleD_Xdl_CShuffle< Row, Col, Row_Row_Tuple, Row, F16, F16, F32, F32, F16_F16_Tuple, F16, PassThrough, PassThrough, AddAddFastGelu, GemmMNKPadding, 1, 64, 16, 16, 32, 8, 8, 16, 16, 1, 1, S<4, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 1, 8, 1, S<4, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 1, 8, 1, 1, 1, S<1, 16, 1, 4>, 1, LoopScheduler::Default, PipelineVersion::v1>
|
||||
// clang-format on
|
||||
|
||||
// Hard-code tuning parameters in modularized fashion, string them together into a vector of
|
||||
// instances
|
||||
std::vector<Operation_Xdl_CShuffle> Operation_Xdl_CShuffle::CreateOperations(
|
||||
@@ -83,6 +89,8 @@ std::vector<Operation_Xdl_CShuffle> Operation_Xdl_CShuffle::CreateOperations(
|
||||
{ 128, 64, 128, 32, 8, 8, 32, 32, 2, 2, 1},
|
||||
{ 256, 128, 64, 32, 8, 8, 32, 32, 2, 1, 1},
|
||||
{ 256, 64, 128, 32, 8, 8, 32, 32, 1, 2, 1},
|
||||
// Irregular tile
|
||||
{ 64, 16, 16, 32, 8, 8, 16, 16, 1, 1, 1},
|
||||
// clang-format on
|
||||
};
|
||||
|
||||
@@ -100,6 +108,8 @@ std::vector<Operation_Xdl_CShuffle> Operation_Xdl_CShuffle::CreateOperations(
|
||||
{ S<4, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1},
|
||||
{ S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1},
|
||||
{ S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1},
|
||||
// Irregular tile
|
||||
{ S<4, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 1, 8, 1},
|
||||
// clang-format on
|
||||
};
|
||||
|
||||
@@ -109,15 +119,17 @@ std::vector<Operation_Xdl_CShuffle> Operation_Xdl_CShuffle::CreateOperations(
|
||||
// ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM|
|
||||
// Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| |
|
||||
// | | | | | | |
|
||||
{ S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 8, 1},
|
||||
{ S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1},
|
||||
{ S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 8, 1},
|
||||
{ S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1},
|
||||
{ S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 8, 1},
|
||||
{ S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1},
|
||||
{ S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1},
|
||||
{ S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 8, 1},
|
||||
// Irregular tile
|
||||
{ S<4, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 8, 1},
|
||||
// clang-format on
|
||||
{S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 8, 1},
|
||||
{S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1},
|
||||
{S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 8, 1},
|
||||
{S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1},
|
||||
{S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 8, 1},
|
||||
{S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1},
|
||||
{S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1},
|
||||
{S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 8, 1},
|
||||
};
|
||||
|
||||
std::vector<operation::BlockTransferDesc> b_block_descriptions_rowmajor = {
|
||||
@@ -134,6 +146,8 @@ std::vector<Operation_Xdl_CShuffle> Operation_Xdl_CShuffle::CreateOperations(
|
||||
{ S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 8, 1},
|
||||
{ S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 8, 1},
|
||||
{ S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1},
|
||||
// Irregular tile
|
||||
{ S<4, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 8, 1},
|
||||
// clang-format on
|
||||
};
|
||||
|
||||
@@ -151,6 +165,8 @@ std::vector<Operation_Xdl_CShuffle> Operation_Xdl_CShuffle::CreateOperations(
|
||||
{ S<4, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1},
|
||||
{ S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1},
|
||||
{ S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1},
|
||||
// Irregular tile
|
||||
{ S<4, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 1, 8, 1},
|
||||
// clang-format on
|
||||
};
|
||||
|
||||
@@ -167,6 +183,7 @@ std::vector<Operation_Xdl_CShuffle> Operation_Xdl_CShuffle::CreateOperations(
|
||||
{ 1, 1},
|
||||
{ 1, 1},
|
||||
{ 1, 1},
|
||||
{ 1, 1},
|
||||
{ 1, 1},
|
||||
// clang-format on
|
||||
};
|
||||
@@ -185,6 +202,8 @@ std::vector<Operation_Xdl_CShuffle> Operation_Xdl_CShuffle::CreateOperations(
|
||||
{ S<1, 16, 1, 8>, 8},
|
||||
{ S<1, 32, 1, 8>, 8},
|
||||
{ S<1, 32, 1, 8>, 8},
|
||||
// Irregular tile
|
||||
{ S<1, 16, 1, 4>, 1},
|
||||
// clang-format on
|
||||
};
|
||||
|
||||
@@ -199,33 +218,44 @@ std::vector<Operation_Xdl_CShuffle> Operation_Xdl_CShuffle::CreateOperations(
|
||||
assert(tile_descriptions.size() == cshuffle_descriptions.size());
|
||||
assert(tile_descriptions.size() == c_block_descriptions.size());
|
||||
|
||||
// Put all values together into a single operation > store into the result vector
|
||||
for(std::size_t i = 0; i < tile_descriptions.size(); i++)
|
||||
const std::vector<std::tuple<LoopScheduler, PipelineVersion>> scheduler_pipeline_descriptions =
|
||||
{
|
||||
{LoopScheduler::Default, PipelineVersion::v1},
|
||||
{LoopScheduler::Interwave, PipelineVersion::v1},
|
||||
{LoopScheduler::Default, PipelineVersion::v2},
|
||||
};
|
||||
for(auto [loop_scheduler, pipeline_version] : scheduler_pipeline_descriptions)
|
||||
{
|
||||
Operation_Xdl_CShuffle x;
|
||||
x.tile_desc = tile_descriptions[i];
|
||||
x.a_block_transfer = a_block_descriptions[i];
|
||||
x.b_block_transfer = b_block_descriptions[i];
|
||||
x.cshuffle = cshuffle_descriptions[i];
|
||||
x.c_block_transfer = c_block_descriptions[i];
|
||||
x.A = TensorDesc{prob.ADataType, ToLayout(prob.TransA)};
|
||||
x.B = TensorDesc{prob.BDataType, ToLayout(prob.TransB)};
|
||||
x.E = TensorDesc{prob.EDataType, ToLayout(prob.TransE)};
|
||||
x.Ds = Transform(prob.DsTrans, prob.DsDataType, [](auto trans, auto dt) {
|
||||
return TensorDesc{dt, ToLayout(trans)};
|
||||
});
|
||||
x.a_elem_op = prob.AElementOp;
|
||||
x.b_elem_op = prob.BElementOp;
|
||||
x.cde_elem_op = prob.CDEElementOp;
|
||||
x.gemm_specialization = GetGemmSpec(prob.M,
|
||||
prob.N,
|
||||
prob.K,
|
||||
x.tile_desc.m_per_block,
|
||||
x.tile_desc.n_per_block,
|
||||
x.tile_desc.k_per_block);
|
||||
x.update_prologue(prologue);
|
||||
x.update_epilogue(epilogue);
|
||||
result.push_back(x);
|
||||
// Put all values together into a single operation > store into the result vector
|
||||
for(std::size_t i = 0; i < tile_descriptions.size(); i++)
|
||||
{
|
||||
Operation_Xdl_CShuffle x;
|
||||
x.tile_desc = tile_descriptions[i];
|
||||
x.a_block_transfer = a_block_descriptions[i];
|
||||
x.b_block_transfer = b_block_descriptions[i];
|
||||
x.cshuffle = cshuffle_descriptions[i];
|
||||
x.c_block_transfer = c_block_descriptions[i];
|
||||
x.A = TensorDesc{prob.ADataType, ToLayout(prob.TransA)};
|
||||
x.B = TensorDesc{prob.BDataType, ToLayout(prob.TransB)};
|
||||
x.E = TensorDesc{prob.EDataType, ToLayout(prob.TransE)};
|
||||
x.Ds = Transform(prob.DsTrans, prob.DsDataType, [](auto trans, auto dt) {
|
||||
return TensorDesc{dt, ToLayout(trans)};
|
||||
});
|
||||
x.a_elem_op = prob.AElementOp;
|
||||
x.b_elem_op = prob.BElementOp;
|
||||
x.cde_elem_op = prob.CDEElementOp;
|
||||
x.gemm_specialization = GetGemmSpec(prob.M,
|
||||
prob.N,
|
||||
prob.K,
|
||||
x.tile_desc.m_per_block,
|
||||
x.tile_desc.n_per_block,
|
||||
x.tile_desc.k_per_block);
|
||||
x.loop_scheduler = loop_scheduler;
|
||||
x.pipeline_version = pipeline_version;
|
||||
x.update_prologue(prologue);
|
||||
x.update_epilogue(epilogue);
|
||||
result.push_back(x);
|
||||
}
|
||||
}
|
||||
return result;
|
||||
}
|
||||
@@ -263,7 +293,7 @@ static const char* const DeviceGemmMultipleD_Xdl_CShuffleTemplate =
|
||||
"${BBlockTransferSrcScalarPerVector}, ${BBlockTransferDstScalarPerVector_BK1}, "
|
||||
"${BBlockLdsExtraN}, ${CShuffleMXdlPerWavePerShuffle}, ${CShuffleNXdlPerWavePerShuffle}, "
|
||||
"${CDEBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock}, "
|
||||
"${CDEBlockTransferScalarPerVector_NPerBlock}>";
|
||||
"${CDEBlockTransferScalarPerVector_NPerBlock}, ${LoopScheduler}, ${PipelineVersion}>";
|
||||
|
||||
// use hardcoded instances from vector of operations to substitute values into instance template
|
||||
Solution Operation_Xdl_CShuffle::ToSolution() const
|
||||
@@ -336,6 +366,8 @@ Solution Operation_Xdl_CShuffle::ToSolution() const
|
||||
this->c_block_transfer.cluster_lengths_m_block_m_wave_m_per_Xdl_n_block_n_wave_n_per_Xdl},
|
||||
{"CDEBlockTransferScalarPerVector_NPerBlock",
|
||||
std::to_string(this->c_block_transfer.scalar_per_vector_n_wave_n_per_Xdl)},
|
||||
{"LoopScheduler", ToString(this->loop_scheduler)},
|
||||
{"PipelineVersion", ToString(this->pipeline_version)},
|
||||
};
|
||||
|
||||
return Solution{InterpolateString(DeviceGemmMultipleD_Xdl_CShuffleTemplate, values),
|
||||
|
||||
@@ -59,6 +59,26 @@ std::string ToString(GemmType gt)
|
||||
throw std::runtime_error("Incorrect gemm type");
|
||||
}
|
||||
|
||||
std::string ToString(LoopScheduler ls)
|
||||
{
|
||||
switch(ls)
|
||||
{
|
||||
case LoopScheduler::Default: return "ck::LoopScheduler::Default";
|
||||
case LoopScheduler::Interwave: return "ck::LoopScheduler::Interwave";
|
||||
}
|
||||
throw std::runtime_error("Incorrect LoopScheduler type");
|
||||
}
|
||||
|
||||
std::string ToString(PipelineVersion pv)
|
||||
{
|
||||
switch(pv)
|
||||
{
|
||||
case PipelineVersion::v1: return "ck::PipelineVersion::v1";
|
||||
case PipelineVersion::v2: return "ck::PipelineVersion::v2";
|
||||
}
|
||||
throw std::runtime_error("Incorrect PipelineVersion type");
|
||||
}
|
||||
|
||||
std::string SequenceStr(const std::vector<int>& v)
|
||||
{
|
||||
return "ck::Sequence<" +
|
||||
|
||||
@@ -8,6 +8,7 @@
|
||||
#include <memory>
|
||||
#include <stdexcept>
|
||||
#include <string>
|
||||
#include <stdexcept>
|
||||
|
||||
namespace rtc {
|
||||
|
||||
|
||||
Reference in New Issue
Block a user