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* Add online-compiling facility * Synchronize from fwd-v4r5 and implement host interfaces to call conv-fwd v4r4/v4r5 using on-line compiling method * Tiny adjustment to time reporting * Use object assignment to replace explicit bytes copying in the first kernel of v4r4/v4r5 * Use single thread to assign descriptor object to device memory * Adjust to the workload assignment of the two kernels of v4r4 (experimental) * Revert "Adjust to the workload assignment of the two kernels of v4r4 (experimental)" This reverts commit eb38461456bb0c82b6c0d32cdd616e181907e20c. * Update to make constexpr for generating descriptor types in kernel 2 of dynamic conv-fwd v4r4 * Update to dynamic conv-fwd v4r4 online-compiling * Update to dynamic conv-fwd v4r5 online-compiling (result not accurate) * Tiny update to driver/CMakeLists.txt * clang-format * Tiny comments change * Add env OLC_DUMP_SAVE_TMP_DIR to support saving of temperary dir * Fwd v4r5 olc perf (#39) * added hip-clang flags that fix perf issue of online compilation * fix bug for olc fwd-v4r5-nchw * Move constexpr and type reference statements out of the function body in conv-fwd v4r4/v4r5 kernel wrapper * Remove printing in hip_build_utils.cpp * Update to root CMakeLists.txt * Revert "Move constexpr and type reference statements out of the function body in conv-fwd v4r4/v4r5 kernel wrapper" This reverts commit 3d2c5d8ecdd8298b72d127110500ed5b38d9835c. Co-authored-by: Chao Liu <chao.liu2@amd.com> Co-authored-by: Chao Liu <lc.roy86@gmail.com> Co-authored-by: root <root@dc-smc-18.amd.com>
146 lines
5.0 KiB
C++
146 lines
5.0 KiB
C++
/*******************************************************************************
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*
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* MIT License
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*
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* Copyright (c) 2017 Advanced Micro Devices, Inc.
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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* copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*
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*******************************************************************************/
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#ifndef GUARD_OLC_HANDLE_HPP_
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#define GUARD_OLC_HANDLE_HPP_
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#include <kernel.hpp>
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#include <stringutils.hpp>
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#include <target_properties.hpp>
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#include <boost/range/adaptor/transformed.hpp>
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#include <cstdio>
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#include <cstring>
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#include <ios>
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#include <sstream>
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#include <memory>
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#include <vector>
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#include <unordered_map>
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namespace olCompile {
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struct HandleImpl;
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struct Handle
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{
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friend struct TargetProperties;
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Handle();
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Handle(hipStream_t stream);
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Handle(Handle&&) noexcept;
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~Handle();
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hipStream_t GetStream() const;
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void SetStream(hipStream_t streamID) const;
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KernelInvoke AddKernel(const std::string& algorithm,
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const std::string& network_config,
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const std::string& program_name,
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const std::string& kernel_name,
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const std::vector<size_t>& vld,
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const std::vector<size_t>& vgd,
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const std::string& params,
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std::size_t cache_index = 0) const;
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bool HasKernel(const std::string& algorithm, const std::string& network_config) const;
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void ClearKernels(const std::string& algorithm, const std::string& network_config) const;
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auto GetKernels(const std::string& algorithm, const std::string& network_config) const
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{
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return this->GetKernelsImpl(algorithm, network_config) |
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boost::adaptors::transformed([this](Kernel k) { return this->Run(k); });
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}
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KernelInvoke GetKernel(const std::string& algorithm, const std::string& network_config) const
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{
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auto ks = this->GetKernelsImpl(algorithm, network_config);
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if(ks.empty())
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{
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throw std::runtime_error("looking for default kernel (does not exist): " + algorithm +
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", " + network_config);
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}
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return this->Run(ks.front());
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}
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KernelInvoke Run(Kernel k) const;
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Program LoadProgram(const std::string& program_name, std::string params) const;
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bool HasProgram(const std::string& program_name, const std::string& params) const;
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void AddProgram(Program prog, const std::string& program_name, const std::string& params) const;
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void Finish() const;
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std::size_t GetLocalMemorySize() const;
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std::size_t GetGlobalMemorySize() const;
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std::size_t GetWavefrontWidth() const;
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std::size_t GetMaxComputeUnits() const;
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std::size_t GetMaxHardwareComputeUnits() const
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{
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std::size_t num_cu = this->GetMaxComputeUnits();
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std::string name = this->GetDeviceName();
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return StartsWith(name, "gfx1") ? num_cu * 2 /* CUs per WGP */ : num_cu;
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}
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std::string GetDeviceName() const;
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const TargetProperties& GetTargetProperties() const;
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private:
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std::string GetDeviceNameImpl() const;
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const std::vector<Kernel>& GetKernelsImpl(const std::string& algorithm,
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const std::string& network_config) const;
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public:
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std::ostream& Print(std::ostream& os) const;
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static std::string GetDbBasename(const TargetProperties& target, size_t num_cu)
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{
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auto ret = target.DbId() + [&]() {
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std::ostringstream ss;
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if(num_cu <= 64)
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ss << '_' << num_cu;
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else
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ss << std::hex << num_cu;
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return std::string(ss.str());
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}();
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return ret;
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}
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std::string GetDbBasename() const
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{
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return GetDbBasename(GetTargetProperties(), GetMaxComputeUnits());
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}
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std::unique_ptr<HandleImpl> impl;
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};
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inline std::ostream& operator<<(std::ostream& os, const Handle& handle) { return handle.Print(os); }
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} // namespace olCompile
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#endif // GUARD_OLC_HANDLE_HPP_
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