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562 lines
16 KiB
562 lines
16 KiB
/**
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* This is the C++ adaptation and derivative work of Myia (https://github.com/mila-iqia/myia/).
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*
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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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#include "utils/graph_utils.h"
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#include <unordered_map>
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#include <unordered_set>
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#include <utility>
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#include <stack>
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#include <vector>
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#include <list>
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#include <string>
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#include <fstream>
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#include <queue>
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#include <set>
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#include "ir/visitor.h"
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#include "utils/log_adapter.h"
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#include "common/utils.h"
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#include "pipeline/parse/function_block.h"
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#include "pipeline/parse/python_adapter.h"
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namespace mindspore {
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using SymbolicKeyTypePtr = std::shared_ptr<SymbolicKeyType>;
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namespace {
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class DeepFirstSearcher : public AnfVisitor {
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public:
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explicit DeepFirstSearcher(const IncludeFunc &include) : include_(include) {}
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~DeepFirstSearcher() override = default;
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std::vector<AnfNodePtr> Search(const AnfNodePtr &root) {
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if (root == nullptr) {
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return res_;
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}
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seen_ = NewSeenGeneration();
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Visit(root);
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return res_;
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}
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void Visit(const AnfNodePtr &node) override {
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MS_EXCEPTION_IF_NULL(node);
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if (node->seen_ == seen_) {
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return;
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}
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node->seen_ = seen_;
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auto incl = include_(node);
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if (incl == EXCLUDE) {
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return;
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}
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res_.push_back(node);
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if (incl == FOLLOW) {
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AnfVisitor::Visit(node);
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}
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}
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private:
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size_t seen_{0};
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IncludeFunc include_;
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std::vector<AnfNodePtr> res_{};
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};
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class DeepScopedGraphSearcher : public DeepFirstSearcher {
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public:
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explicit DeepScopedGraphSearcher(const IncludeFunc &include) : DeepFirstSearcher(include) {}
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~DeepScopedGraphSearcher() override = default;
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void Visit(const CNodePtr &cnode) override {
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if (cnode->func_graph() == nullptr) {
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return;
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}
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AnfNodePtr ret = cnode->func_graph()->get_return();
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if (ret != nullptr) {
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DeepFirstSearcher::Visit(ret);
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}
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auto &inputs = cnode->inputs();
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for (auto iter = inputs.rbegin(); iter != inputs.rend(); ++iter) {
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DeepFirstSearcher::Visit(*iter);
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}
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}
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void Visit(const ValueNodePtr &vnode) override {
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if (!IsValueNode<FuncGraph>(vnode)) {
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return;
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}
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auto graph = GetValueNode<FuncGraphPtr>(vnode);
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AnfNodePtr ret = graph->get_return();
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if (ret != nullptr) {
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DeepFirstSearcher::Visit(ret);
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}
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}
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void Visit(const ParameterPtr ¶m) override {
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if (param->func_graph() == nullptr) {
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return;
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}
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AnfNodePtr ret = param->func_graph()->get_return();
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if (ret != nullptr) {
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DeepFirstSearcher::Visit(ret);
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}
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}
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};
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class DeepUsedGraphSearcher : public DeepFirstSearcher {
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public:
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explicit DeepUsedGraphSearcher(const IncludeFunc &include) : DeepFirstSearcher(include) {}
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~DeepUsedGraphSearcher() override = default;
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void Visit(const CNodePtr &cnode) override {
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auto &inputs = cnode->inputs();
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for (auto iter = inputs.rbegin(); iter != inputs.rend(); ++iter) {
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DeepFirstSearcher::Visit(*iter);
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}
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}
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void Visit(const ValueNodePtr &vnode) override {
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if (!IsValueNode<FuncGraph>(vnode)) {
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return;
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}
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auto graph = GetValueNode<FuncGraphPtr>(vnode);
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AnfNodePtr ret = graph->get_return();
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if (ret != nullptr) {
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DeepFirstSearcher::Visit(ret);
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}
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}
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};
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class DeepLinkedGraphSearcher : public DeepFirstSearcher {
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public:
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explicit DeepLinkedGraphSearcher(const IncludeFunc &include) : DeepFirstSearcher(include) {}
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~DeepLinkedGraphSearcher() override = default;
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void Visit(const CNodePtr &cnode) override {
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auto &inputs = cnode->inputs();
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for (auto iter = inputs.rbegin(); iter != inputs.rend(); ++iter) {
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DeepFirstSearcher::Visit(*iter);
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}
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}
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void Visit(const ValueNodePtr &) override {}
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};
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} // namespace
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std::vector<AnfNodePtr> DeepScopedGraphSearch(const AnfNodePtr &root, const IncludeFunc &include) {
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return DeepScopedGraphSearcher(include).Search(root);
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}
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std::vector<AnfNodePtr> DeepUsedGraphSearch(const AnfNodePtr &root, const IncludeFunc &include) {
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return DeepUsedGraphSearcher(include).Search(root);
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}
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std::vector<AnfNodePtr> DeepLinkedGraphSearch(const AnfNodePtr &root, const IncludeFunc &include) {
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return DeepLinkedGraphSearcher(include).Search(root);
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}
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std::vector<AnfNodePtr> TopoSort(const AnfNodePtr &root, const SuccFunc &succ, const IncludeFunc &include) {
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size_t seen = NewSeenGeneration();
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std::list<AnfNodePtr> todo(1, root);
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std::unordered_map<AnfNodePtr, size_t> rank;
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std::vector<AnfNodePtr> res;
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while (!todo.empty()) {
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AnfNodePtr node = todo.back();
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if (node == nullptr || node->seen_ == seen) {
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todo.pop_back();
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continue;
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}
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if (rank.find(node) != rank.end() && rank[node] != todo.size()) {
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MS_LOG(EXCEPTION) << "Graph exists cycle, node " << node->DebugString();
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}
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rank[node] = todo.size();
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bool cont = false;
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auto incl = include(node);
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if (incl == FOLLOW) {
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auto succs = succ(node);
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for (const auto i : succs) {
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if ((i != nullptr && i->seen_ != seen)
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// Handle the case for 2 subgraphs calls each other.
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// If the ValueNodeGraph's return is already in the todo list, do not follow it.
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&& !((std::find(todo.begin(), todo.end(), i) != todo.end()) && (i->func_graph() != nullptr) &&
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(i->func_graph()->get_return() == i))) {
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todo.push_back(i);
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cont = true;
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}
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}
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} else if (incl == NOFOLLOW) {
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// do nothing
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} else if (incl == EXCLUDE) {
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node->seen_ = seen;
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todo.pop_back();
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continue;
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} else {
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MS_LOG(EXCEPTION) << "include(node) must return one of: \"follow\", \"nofollow\", \"exclude\"";
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}
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if (cont) {
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continue;
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}
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node->seen_ = seen;
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res.push_back(node);
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todo.pop_back();
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}
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return res;
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}
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// search the cnodes inside this graph only
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std::vector<CNodePtr> BroadFirstSearchGraphCNodes(CNodePtr ret) {
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std::queue<CNodePtr> todo;
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todo.push(ret);
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std::vector<CNodePtr> sorted_nodes;
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auto seen = NewSeenGeneration();
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while (!todo.empty()) {
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CNodePtr top = todo.front();
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todo.pop();
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sorted_nodes.push_back(top);
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auto inputs = top->inputs();
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for (auto &item : inputs) {
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if (item->seen_ == seen) {
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continue;
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}
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if (item->isa<CNode>()) {
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todo.push(item->cast<CNodePtr>());
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}
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item->seen_ = seen;
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}
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}
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return sorted_nodes;
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}
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std::vector<AnfNodePtr> SuccDeeper(const AnfNodePtr &node) {
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std::vector<AnfNodePtr> vecs;
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if (node == nullptr) {
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return vecs;
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}
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if (IsValueNode<FuncGraph>(node)) {
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auto graph = GetValueNode<FuncGraphPtr>(node);
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auto ret = graph->get_return();
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if (ret != nullptr) {
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vecs.push_back(ret);
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}
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return vecs;
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} else if (node->func_graph() != nullptr) {
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if (node->isa<CNode>()) {
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auto &inputs = node->cast<CNodePtr>()->inputs();
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(void)vecs.insert(vecs.end(), inputs.begin(), inputs.end());
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}
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auto graph = node->func_graph();
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if (graph->get_return() != nullptr) {
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vecs.push_back(graph->get_return());
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}
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return vecs;
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}
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return vecs;
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}
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std::vector<AnfNodePtr> SuccDeeperSimple(const AnfNodePtr &node) {
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std::vector<AnfNodePtr> vecs;
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if (node == nullptr) {
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return vecs;
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}
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if (IsValueNode<FuncGraph>(node)) {
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auto graph = GetValueNode<FuncGraphPtr>(node);
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auto ret = graph->get_return();
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if (ret != nullptr) {
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vecs.push_back(ret);
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}
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return vecs;
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} else {
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if (node->isa<CNode>()) {
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auto &inputs = node->cast<CNodePtr>()->inputs();
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(void)vecs.insert(vecs.end(), inputs.begin(), inputs.end());
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}
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return vecs;
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}
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}
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std::vector<AnfNodePtr> SuccIncoming(const AnfNodePtr &node) {
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std::vector<AnfNodePtr> vecs;
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if (node == nullptr) {
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return vecs;
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}
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if (node->isa<CNode>()) {
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auto &inputs = node->cast<CNodePtr>()->inputs();
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(void)vecs.insert(vecs.end(), inputs.begin(), inputs.end());
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}
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return vecs;
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}
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std::vector<AnfNodePtr> SuccIncludeFV(const FuncGraphPtr &fg, const AnfNodePtr &node) {
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std::vector<AnfNodePtr> vecs;
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if (node == nullptr) {
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return vecs;
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}
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if (node->isa<CNode>()) {
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auto cnode = node->cast<CNodePtr>();
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auto &inputs = cnode->inputs();
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// Check if free variables used.
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for (const auto &input : inputs) {
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auto input_fg = GetValueNode<FuncGraphPtr>(input);
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if (input_fg) {
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for (auto &fv : input_fg->free_variables_nodes()) {
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if (fv->func_graph() == fg && fg->nodes().contains(fv)) {
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vecs.push_back(fv);
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}
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}
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}
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}
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(void)vecs.insert(vecs.end(), inputs.begin(), inputs.end());
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}
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return vecs;
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}
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IncludeType AlwaysInclude(const AnfNodePtr &) { return FOLLOW; }
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IncludeType IncludeBelongGraph(const FuncGraphPtr &fg, const AnfNodePtr &node) {
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if (node->func_graph() == fg) {
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return FOLLOW;
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} else {
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return EXCLUDE;
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}
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}
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FuncGraphIndex::FuncGraphIndex(const FuncGraphPtr &fg, const SearchFunc &search, const IncludeFunc &include) {
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MS_EXCEPTION_IF_NULL(fg);
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Acquire(fg);
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auto vec = search(fg->get_return(), include);
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for (auto &node : vec) {
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MS_EXCEPTION_IF_NULL(node);
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Acquire(node);
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if (node->func_graph() != nullptr) {
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Acquire(node->func_graph());
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}
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}
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}
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std::set<FuncGraphPtr> FuncGraphIndex::GetFuncGraphs(const std::string &key) {
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std::set<FuncGraphPtr> func_graphs;
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if (index_func_graph_.find(key) != index_func_graph_.end()) {
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func_graphs = index_func_graph_[key];
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}
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return func_graphs;
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}
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std::set<AnfNodePtr> FuncGraphIndex::GetNodes(const std::string &key) {
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if (index_node_.find(key) != index_node_.end()) {
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return index_node_[key];
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}
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return std::set<AnfNodePtr>();
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}
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FuncGraphPtr FuncGraphIndex::GetFirstFuncGraph(const std::string &key) {
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if (GetFuncGraphs(key).empty()) {
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return nullptr;
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}
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auto fg = *GetFuncGraphs(key).begin();
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return fg;
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}
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AnfNodePtr FuncGraphIndex::GetFirstNode(const std::string &key) {
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if (GetNodes(key).empty()) {
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return nullptr;
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}
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auto node = *GetNodes(key).begin();
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return node;
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}
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void FuncGraphIndex::Acquire(const FuncGraphPtr &key) {
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std::string name = label_manage::Label(key->debug_info());
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if (!name.empty()) {
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(void)index_func_graph_[name].insert(key);
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}
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}
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void FuncGraphIndex::Acquire(const AnfNodePtr &key) {
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std::string name = label_manage::Label(key->debug_info());
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if (!name.empty()) {
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(void)index_node_[name].insert(key);
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}
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}
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// Isomorphism
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static bool SameNodeShallow(const AnfNodePtr &node1, const AnfNodePtr &node2, FuncGraphPairMapEquiv *equiv_func_graph,
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NodeMapEquiv *const equiv_node) {
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if (equiv_node == nullptr) {
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MS_LOG(ERROR) << "Invalid equiv_node";
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return false;
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}
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if (equiv_node->count(node1) > 0 && (*equiv_node)[node1] == node2) {
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return true;
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}
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if (IsValueNode<FuncGraph>(node1) && IsValueNode<FuncGraph>(node2)) {
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return Isomorphic(GetValueNode<FuncGraphPtr>(node1), GetValueNode<FuncGraphPtr>(node2), equiv_func_graph,
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equiv_node);
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}
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if (node1->isa<ValueNode>() && node2->isa<ValueNode>()) {
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auto a1 = GetValueNode(node1);
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auto a2 = GetValueNode(node2);
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if (a1->isa<Primitive>() && a2->isa<Primitive>()) {
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return a1->cast<PrimitivePtr>()->name() == a2->cast<PrimitivePtr>()->name();
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} else if (a1->isa<tensor::Tensor>() && a2->isa<tensor::Tensor>()) {
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return a1->cast<tensor::TensorPtr>()->ValueEqual(*(a2->cast<tensor::TensorPtr>()));
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} else {
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return *a1 == *a2;
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}
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}
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if (node1->isa<Parameter>() && node2->isa<Parameter>()) {
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auto para1 = node1->cast<ParameterPtr>();
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auto para2 = node2->cast<ParameterPtr>();
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if (para1->name() == para2->name()) {
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return true;
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}
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MS_LOG(DEBUG) << "two parameters are not equal.";
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return false;
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}
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MS_LOG(ERROR) << "type error";
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return false;
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}
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static bool SameNode(const AnfNodePtr &node1, const AnfNodePtr &node2, FuncGraphPairMapEquiv *equiv_func_graph,
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NodeMapEquiv *const equiv_node) {
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MS_EXCEPTION_IF_NULL(node1);
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MS_EXCEPTION_IF_NULL(node2);
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if (node1->isa<CNode>() && node2->isa<CNode>()) {
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auto &inputs1 = node1->cast<CNodePtr>()->inputs();
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auto &inputs2 = node2->cast<CNodePtr>()->inputs();
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for (std::size_t i = 0; i < inputs1.size(); ++i) {
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if (!SameNodeShallow(inputs1[i], inputs2[i], equiv_func_graph, equiv_node)) {
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return false;
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}
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}
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return true;
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}
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return SameNodeShallow(node1, node2, equiv_func_graph, equiv_node);
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}
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static bool SameSubgraph(AnfNodePtr root1, AnfNodePtr root2, FuncGraphPairMapEquiv *equiv_func_graph,
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NodeMapEquiv *const equiv_node) {
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std::unordered_set<AnfNodePtr> done;
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std::stack<std::pair<AnfNodePtr, AnfNodePtr>> todo;
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todo.push(std::make_pair(root1, root2));
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while (todo.size() > 0) {
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AnfNodePtr node1 = todo.top().first;
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if (done.count(node1) > 0) {
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todo.pop();
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continue;
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}
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AnfNodePtr node2 = todo.top().second;
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bool condition = false;
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std::vector<AnfNodePtr> s1 = SuccIncoming(node1);
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std::vector<AnfNodePtr> s2 = SuccIncoming(node2);
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if (s1.size() != s2.size()) {
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return false;
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}
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for (std::size_t i = 0; i < s1.size(); ++i) {
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if (done.count(s1[i]) == 0) {
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todo.push(std::make_pair(s1[i], s2[i]));
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condition = true;
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}
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}
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if (condition) {
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continue;
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}
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(void)done.insert(node1);
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auto res = SameNode(node1, node2, equiv_func_graph, equiv_node);
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if (res) {
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(*equiv_node)[node1] = node2;
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} else {
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return false;
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}
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todo.pop();
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}
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return true;
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}
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bool Isomorphic(FuncGraphPtr fg1, FuncGraphPtr fg2, FuncGraphPairMapEquiv *equiv_func_graph,
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NodeMapEquiv *const equiv_node) {
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auto fg1_fg2 = std::make_pair(fg1, fg2);
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if (equiv_func_graph == nullptr) {
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MS_LOG(ERROR) << "equiv_func_graph not init";
|
|
return false;
|
|
}
|
|
if (equiv_func_graph->find(fg1_fg2) != equiv_func_graph->end()) {
|
|
return (*equiv_func_graph)[fg1_fg2] != kNotEquiv;
|
|
}
|
|
if (fg1 == nullptr || fg2 == nullptr) {
|
|
MS_LOG(ERROR) << "Invalid function graph";
|
|
return false;
|
|
}
|
|
if (fg1->parameters().size() != fg2->parameters().size()) {
|
|
MS_LOG(DEBUG) << "parameters size not match";
|
|
return false;
|
|
}
|
|
if (equiv_node != nullptr) {
|
|
for (std::size_t i = 0; i < fg1->parameters().size(); ++i) {
|
|
(*equiv_node)[fg1->parameters()[i]] = fg2->parameters()[i];
|
|
}
|
|
(*equiv_func_graph)[fg1_fg2] = kPending;
|
|
auto result = SameSubgraph(fg1->get_return(), fg2->get_return(), equiv_func_graph, equiv_node);
|
|
(*equiv_func_graph)[fg1_fg2] = EquivState(result);
|
|
return result;
|
|
}
|
|
|
|
MS_LOG(ERROR) << "equiv_node not init";
|
|
return false;
|
|
}
|
|
|
|
tensor::TensorPtr ScalarToTensor(const ScalarPtr &scalar) {
|
|
if (scalar == nullptr) {
|
|
MS_EXCEPTION(ArgumentError) << "Nullptr Error!";
|
|
}
|
|
tensor::TensorPtr tensor = nullptr;
|
|
if (scalar->isa<FloatImm>()) {
|
|
tensor = std::make_shared<tensor::Tensor>(py::float_(GetValue<float>(scalar)), kFloat32);
|
|
} else if (scalar->isa<IntergerImm>()) {
|
|
tensor = std::make_shared<tensor::Tensor>(py::int_(GetValue<int>(scalar)), kInt32);
|
|
} else if (scalar->isa<BoolImm>()) {
|
|
tensor = std::make_shared<tensor::Tensor>(py::array(py::bool_(GetValue<bool>(scalar))), kBool);
|
|
} else {
|
|
auto type = scalar->type();
|
|
auto type_str = (type == nullptr) ? "nullptr" : type->ToString();
|
|
MS_LOG(EXCEPTION) << "Invalid scalar type: " << type_str;
|
|
}
|
|
MS_EXCEPTION_IF_NULL(tensor);
|
|
return tensor;
|
|
}
|
|
} // namespace mindspore
|