forked from huawei/mindspore2022
105 lines
3.0 KiB
C++
105 lines
3.0 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_PIPELINE_JIT_RESOURCE_H_
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#define MINDSPORE_CCSRC_PIPELINE_JIT_RESOURCE_H_
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#include <iostream>
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#include <vector>
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#include <string>
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#include <unordered_map>
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#include <memory>
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#include <unordered_set>
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#include "pybind11/pybind11.h"
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#include "pybind11/stl.h"
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#include "utils/any.h"
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#include "utils/profile.h"
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#include "ir/manager.h"
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#include "pipeline/jit/resource_base.h"
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#include "pipeline/jit/static_analysis/prim.h"
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#include "pipeline/jit/static_analysis/static_analysis.h"
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namespace mindspore {
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namespace pipeline {
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namespace py = pybind11;
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const char kBackend[] = "backend";
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const char kStepParallelGraph[] = "step_parallel";
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const char kOutput[] = "output";
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const char kPynativeGraphId[] = "graph_id";
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class InferenceResource;
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using BuiltInTypeMap = std::unordered_map<int64_t, std::unordered_map<std::string, Any>>;
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BuiltInTypeMap &GetMethodMap();
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BuiltInTypeMap &GetAttrMap();
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class Resource : public ResourceBase {
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public:
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explicit Resource(const py::object &obj = py::none());
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~Resource() override;
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abstract::AnalysisEnginePtr engine() { return engine_; }
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static bool IsTypeInBuiltInMap(const TypeId &type);
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static Any GetMethodPtr(const TypeId &type, const std::string &name);
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static Any GetAttrPtr(const TypeId &type, const std::string &name);
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const py::object &input() const { return input_; }
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FuncGraphPtr func_graph() const { return func_graph_; }
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void set_func_graph(const FuncGraphPtr &func_graph) { func_graph_ = func_graph; }
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const abstract::AbstractBasePtrList &args_spec() const { return args_spec_; }
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void set_args_spec(const abstract::AbstractBasePtrList &args_spec) { args_spec_ = args_spec; }
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void set_vm_loop(const bool &flag, const int64_t size) {
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vm_loop_flag_ = flag;
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loop_size_ = size;
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}
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bool vm_loop_flag() { return vm_loop_flag_; }
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int64_t loop_size() { return loop_size_; }
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// Reclaim resource and clear the cache.
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// ExecutorPy::Compile() can be called multiple times, so cache
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// should be cleared.
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void Clean();
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private:
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abstract::AnalysisEnginePtr engine_;
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FuncGraphPtr func_graph_;
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abstract::AbstractBasePtrList args_spec_;
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py::object input_;
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bool is_cleaned_;
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bool vm_loop_flag_{false};
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int64_t loop_size_{1};
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};
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using ResourcePtr = std::shared_ptr<pipeline::Resource>;
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} // namespace pipeline
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} // namespace mindspore
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#endif // MINDSPORE_CCSRC_PIPELINE_JIT_RESOURCE_H_
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