forked from huawei/mindspore2022
135 lines
4.7 KiB
C++
135 lines
4.7 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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#include "pre_activate/pass/optimize_dependence.h"
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#include <memory>
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#include <vector>
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#include <string>
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#include "pre_activate/common/helper.h"
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#include "operator/ops.h"
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#include "utils/utils.h"
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#include "session/kernel_graph.h"
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#include "session/anf_runtime_algorithm.h"
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namespace mindspore {
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namespace opt {
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constexpr auto kSingleInputIndex = 1;
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namespace {
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AnfNodePtr GetReplaceNode(const AnfNodePtr &node) {
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MS_EXCEPTION_IF_NULL(node);
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if (!node->isa<CNode>()) {
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return nullptr;
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}
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auto cnode = node->cast<CNodePtr>();
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MS_EXCEPTION_IF_NULL(cnode);
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string op_name = AnfAlgo::GetCNodeName(cnode);
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// Currently we only eliminate transdata or cast nodes.
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if (op_name != kTransDataOpName && op_name != prim::kPrimCast->name()) {
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return nullptr;
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}
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CheckCNodeInputSize(cnode, kSingleInputIndex + 1);
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return cnode->input(kSingleInputIndex);
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}
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bool ReplaceMakeTuple(const FuncGraphPtr &func_graph, const CNodePtr &cnode) {
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MS_EXCEPTION_IF_NULL(func_graph);
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MS_EXCEPTION_IF_NULL(cnode);
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if (AnfAlgo::GetCNodeName(cnode) != prim::kPrimMakeTuple->name()) {
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return false;
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}
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std::vector<AnfNodePtr> new_make_tuple_inputs;
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bool need_update = false;
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for (const auto &input : cnode->inputs()) {
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AnfNodePtr replace_input = GetReplaceNode(input);
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// If replace input is not null, it will be the input of the TransData or Cast.
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if (replace_input == nullptr) {
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new_make_tuple_inputs.push_back(input);
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continue;
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}
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new_make_tuple_inputs.push_back(replace_input);
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need_update = true;
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}
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if (need_update) {
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auto kernel_graph = func_graph->cast<std::shared_ptr<session::KernelGraph>>();
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CNodePtr new_make_tuple = nullptr;
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if (kernel_graph == nullptr) {
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new_make_tuple = func_graph->NewCNode(new_make_tuple_inputs);
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} else {
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new_make_tuple = kernel_graph->NewCNode(cnode);
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}
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MS_EXCEPTION_IF_NULL(new_make_tuple);
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new_make_tuple->set_inputs(new_make_tuple_inputs);
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auto manager = func_graph->manager();
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MS_EXCEPTION_IF_NULL(manager);
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manager->Replace(cnode, new_make_tuple);
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}
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return true;
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}
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} // namespace
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const BaseRef OptimizeDependence::DefinePattern() const {
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VarPtr X = std::make_shared<Var>("X");
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MS_EXCEPTION_IF_NULL(X);
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VarPtr Y = std::make_shared<Var>("Y");
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MS_EXCEPTION_IF_NULL(Y);
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return VectorRef({prim::kPrimDepend, X, Y});
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}
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const AnfNodePtr OptimizeDependence::Process(const FuncGraphPtr &func_graph, const AnfNodePtr &node,
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const EquivPtr &) const {
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MS_EXCEPTION_IF_NULL(func_graph);
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MS_EXCEPTION_IF_NULL(node);
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if (!node->isa<CNode>()) {
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return nullptr;
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}
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auto depend_cnode = node->cast<CNodePtr>();
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MS_EXCEPTION_IF_NULL(depend_cnode);
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CheckCNodeInputSize(depend_cnode, kDependInputNum);
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auto replacing_node = depend_cnode->input(kDependInputNum - 1);
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MS_EXCEPTION_IF_NULL(replacing_node);
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if (!replacing_node->isa<CNode>()) {
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return nullptr;
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}
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auto replacing_cnode = replacing_node->cast<CNodePtr>();
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MS_EXCEPTION_IF_NULL(replacing_cnode);
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// Deal with the make_tuple with TransData or Cast inputs.
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if (ReplaceMakeTuple(func_graph, replacing_cnode)) {
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return nullptr;
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}
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AnfNodePtr replace_node = GetReplaceNode(replacing_cnode);
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if (replace_node == nullptr) {
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MS_LOG(DEBUG) << "Can not find the TransData or Cast with single output node. Depend node: " << node->DebugString();
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return nullptr;
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}
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std::vector<AnfNodePtr> new_depend_inputs = {depend_cnode->input(kAnfPrimitiveIndex),
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depend_cnode->input(kRealInputIndexInDepend), replace_node};
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auto kernel_graph = func_graph->cast<std::shared_ptr<session::KernelGraph>>();
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CNodePtr new_depend;
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if (kernel_graph == nullptr) {
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new_depend = func_graph->NewCNode(new_depend_inputs);
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MS_EXCEPTION_IF_NULL(new_depend);
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new_depend->set_abstract(node->abstract());
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new_depend->set_scope(node->scope());
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} else {
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new_depend = kernel_graph->NewCNode(depend_cnode);
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MS_EXCEPTION_IF_NULL(new_depend);
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new_depend->set_inputs(new_depend_inputs);
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}
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return new_depend;
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}
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} // namespace opt
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} // namespace mindspore
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