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159 lines
5.4 KiB
159 lines
5.4 KiB
// Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
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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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#include <set>
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#include <string>
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#include <unordered_set>
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#include <vector>
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#include "paddle/fluid/framework/ir/graph_helper.h"
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#include "paddle/fluid/framework/ir/graph_pattern_detector.h"
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#include "paddle/fluid/framework/ir/ngraph_subgraph_pass.h"
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#include "paddle/fluid/inference/analysis/helper.h"
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#include "paddle/fluid/inference/analysis/ir_passes/subgraph_detector.h"
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#include "paddle/fluid/operators/ngraph/ngraph_bridge.h"
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#include "paddle/fluid/platform/enforce.h"
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#include "paddle/fluid/string/pretty_log.h"
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namespace paddle {
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namespace framework {
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namespace ir {
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namespace ANAT = paddle::inference::analysis;
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std::string GenerateEngineKey(const std::set<std::string> &engine_inputs,
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const std::set<std::string> &engine_outputs,
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const std::string &size) {
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std::string engine_hash_key = "";
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for (auto name : engine_inputs) {
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engine_hash_key += name;
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}
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for (auto name : engine_outputs) {
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engine_hash_key += name;
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}
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engine_hash_key += size;
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auto engine_key = std::to_string(std::hash<std::string>()(engine_hash_key));
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return engine_key;
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}
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void NgraphSubgraphPass::ApplyImpl(ir::Graph *graph) const {
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PADDLE_ENFORCE(graph);
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FusePassBase::Init("ngraph_subgraph_pass", graph);
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std::unordered_set<Node *> nodes2delete;
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auto teller = [](const Node *node) {
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if (!node->IsOp() || !node->Op()) return false;
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auto op_type = node->Op()->Type();
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return !paddle::operators::NgraphBridge::isRegister(op_type);
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};
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ANAT::SubGraphFuser fuser(graph, teller, 0, "ngraph_engine");
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fuser();
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for (auto *node : graph->Nodes()) {
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if (node->IsOp() && !ANAT::Agent(node).subgraph()->empty()) {
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OpDesc *op_desc = node->Op();
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op_desc->SetType("ngraph_engine");
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for (auto it = ANAT::Agent(node).subgraph()->begin();
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it != ANAT::Agent(node).subgraph()->end(); ++it) {
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}
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CreateNgraphEngineOp(node, graph);
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std::unordered_set<const Node *> nodes2remove(
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ANAT::Agent(node).subgraph()->begin(),
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ANAT::Agent(node).subgraph()->end());
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GraphSafeRemoveNodes(graph, nodes2remove);
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}
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}
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std::unordered_set<const Node *> nodes2remove;
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for (auto *node : graph->Nodes()) {
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if (node->IsOp() && ANAT::Agent(node).deleted()) {
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nodes2remove.insert(node);
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}
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}
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framework::ir::GraphSafeRemoveNodes(graph, nodes2remove);
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std::vector<ir::Node *> nodes = ir::TopologySortOperations(*graph);
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}
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void NgraphSubgraphPass::CreateNgraphEngineOp(framework::ir::Node *node,
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Graph *graph) const {
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auto *op_desc = node->Op();
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auto &subgraph = *ANAT::Agent(node).subgraph();
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PADDLE_ENFORCE(!subgraph.empty());
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framework::ProgramDesc *program_desc =
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Get<framework::ProgramDesc *>("program");
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const framework::BlockDesc &main_block =
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program_desc->Block(framework::kRootBlockIndex);
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framework::BlockDesc *new_block = program_desc->AppendBlock(main_block);
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framework::proto::BlockDesc block_proto;
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framework::BlockDesc block_desc(nullptr, &block_proto);
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block_desc.Proto()->set_parent_idx(-1);
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block_desc.Proto()->set_idx(0);
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for (auto *node : subgraph) {
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auto *new_block_op = new_block->AppendOp();
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auto *op = block_desc.AppendOp();
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*new_block_op->Proto() = *node->Op()->Proto();
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*op->Proto() = *node->Op()->Proto();
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}
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std::set<std::string> input_names;
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std::set<std::string> input_names_with_id;
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for (auto *x : node->inputs) {
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input_names.insert(x->Name());
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input_names_with_id.insert(x->Name() + std::to_string(x->id()));
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}
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op_desc->SetInput(
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"Xs", std::vector<std::string>(input_names.begin(), input_names.end()));
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std::set<std::string> output_names;
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std::set<std::string> output_names_with_id;
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for (auto *x : node->outputs) {
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output_names.insert(x->Name());
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output_names_with_id.insert(x->Name() + std::to_string(x->id()));
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}
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op_desc->SetOutput(
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"Ys", std::vector<std::string>(output_names.begin(), output_names.end()));
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auto *vars = block_desc.Proto()->mutable_vars();
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for (framework::ir::Node *node : graph->Nodes()) {
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if (node->IsVar() && node->Var()) {
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*vars->Add() = *node->Var()->Proto();
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}
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}
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PADDLE_ENFORCE(!block_desc.Proto()->vars().empty(),
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"the block has no var-desc");
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op_desc->SetType("ngraph_engine");
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int sgs = subgraph.size();
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std::string engine_key = GenerateEngineKey(
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input_names_with_id, output_names_with_id, std::to_string(sgs));
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std::vector<int> interval{0, sgs};
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op_desc->SetAttr("interval", interval);
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op_desc->SetAttr("graph", block_desc.Proto()->SerializeAsString());
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op_desc->SetAttr("engine_key", engine_key);
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}
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} // namespace ir
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} // namespace framework
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} // namespace paddle
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REGISTER_PASS(ngraph_subgraph_pass, paddle::framework::ir::NgraphSubgraphPass);
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