forked from huawei/mindspore2022
89 lines
3.1 KiB
C++
89 lines
3.1 KiB
C++
/**
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* Copyright 2019 Huawei Technologies Co., Ltd
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#ifndef MINDSPORE_CCSRC_KERNEL_COMMON_UTILS_H_
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#define MINDSPORE_CCSRC_KERNEL_COMMON_UTILS_H_
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#include <dirent.h>
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#include <memory>
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#include <unordered_map>
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#include <map>
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#include <string>
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#include <vector>
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#include "kernel/kernel.h"
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#include "kernel/oplib/opinfo.h"
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#include "kernel/kernel_build_info.h"
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namespace mindspore {
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namespace kernel {
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constexpr auto kCceKernelMeta = "./kernel_meta/";
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constexpr auto kGpuKernelMeta = "./cuda_meta";
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constexpr auto kProcessorAiCore = "aicore";
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constexpr auto kProcessorAiCpu = "aicpu";
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constexpr auto kProcessorCuda = "cuda";
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constexpr auto kJsonSuffix = ".json";
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constexpr auto kInfoSuffix = ".info";
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constexpr unsigned int AUTODIFF_COMPILE_OVERTIME = 600;
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constexpr auto kAkgModule = "_akg";
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constexpr auto kArgDataformat = "data_format";
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const std::vector<std::string> support_devices = {"aicore", "aicpu", "cuda"};
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struct KernelMetaInfo {
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uintptr_t func_stub_;
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uint32_t block_dim_;
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};
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using KernelMetaPtr = std::shared_ptr<KernelMetaInfo>;
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class KernelMeta {
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public:
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KernelMeta() = default;
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void Initialize();
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void RemoveKernelCache();
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std::string Search(const std::string &kernel_name) const;
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bool Insert(const std::string &kernel_name, const std::string &kernel_json);
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std::string GetKernelMetaPath() { return kernel_meta_path_; }
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static KernelMeta *GetInstance() {
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static KernelMeta kernel_meta;
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return &kernel_meta;
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}
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~KernelMeta() = default;
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private:
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bool initialized_ = false;
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std::string kernel_meta_path_;
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std::unordered_map<std::string, std::string> kernel_meta_map_;
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};
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bool CheckCache(const std::string &kernel_name);
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KernelPackPtr SearchCache(const std::string &kernel_name, const std::string &processor);
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KernelPackPtr InsertCache(const std::string &kernel_name, const std::string &processor);
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TypeId DtypeToTypeId(const std::string &dtypes);
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std::string Dtype2String(const std::string &dtypes);
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std::string Dtype2ShortType(const std::string &dtypes);
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std::string TypeId2String(TypeId type_id);
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size_t GetDtypeNbyte(const std::string &dtypes);
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bool ParseMetadata(const CNodePtr &kernel_node, const std::shared_ptr<const OpInfo> &op_info_ptr, Processor processor,
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std::vector<std::shared_ptr<KernelBuildInfo>> *const kernel_info_list);
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bool IsAtomicNode(const CNodePtr &kernel_node);
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void SaveJsonInfo(const std::string &json_name, const std::string &info);
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std::string GetProcessor(const AnfNodePtr &anf_node);
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} // namespace kernel
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} // namespace mindspore
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#endif // MINDSPORE_CCSRC_KERNEL_COMMON_UTILS_H_
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