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[Paddle-TRT] constant-folding (#45494)
add constant folding pass， for some model，it will get less latency；
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,159 @@ | ||
| /* Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. | ||
| Licensed under the Apache License, Version 2.0 (the "License"); | ||
| you may not use this file except in compliance with the License. | ||
| You may obtain a copy of the License at | ||
| http://www.apache.org/licenses/LICENSE-2.0 | ||
| Unless required by applicable law or agreed to in writing, software | ||
| distributed under the License is distributed on an "AS IS" BASIS, | ||
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| See the License for the specific language governing permissions and | ||
| limitations under the License. */ | ||
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|
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| #include "paddle/fluid/framework/ir/constant_folding_pass.h" | ||
| #include <string> | ||
| #include <vector> | ||
| #include "glog/logging.h" | ||
| #include "paddle/fluid/framework/ir/graph_helper.h" | ||
| #include "paddle/fluid/framework/ir/graph_pattern_detector.h" | ||
| #include "paddle/fluid/framework/ir/pass.h" | ||
| #include "paddle/fluid/framework/op_registry.h" | ||
| #include "paddle/fluid/framework/op_version_registry.h" | ||
| #include "paddle/fluid/platform/enforce.h" | ||
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| #include "paddle/fluid/framework/convert_utils.h" | ||
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| namespace paddle { | ||
| namespace framework { | ||
| namespace ir { | ||
| class Node; | ||
| } // namespace ir | ||
| } // namespace framework | ||
| } // namespace paddle | ||
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|
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| /* | ||
| * When a op's inputs and outputs is determined before feeding data to the | ||
| * model, we can remove this op from the model. This ConstantFolding pass can | ||
| * remove all these like ops. | ||
| * | ||
| */ | ||
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| namespace paddle { | ||
| namespace framework { | ||
| namespace ir { | ||
| namespace patterns { | ||
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| struct ConstantFolding : public PatternBase { | ||
| ConstantFolding(PDPattern *pattern, const std::string &name_scope) | ||
| : PatternBase(pattern, name_scope, "constant_folding_pass") {} | ||
| }; | ||
| } // namespace patterns | ||
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| ConstantFoldingPass::ConstantFoldingPass() {} | ||
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| void ConstantFoldingPass::ApplyImpl(ir::Graph *graph) const { | ||
| PADDLE_ENFORCE_NOT_NULL( | ||
| graph, platform::errors::PreconditionNotMet("graph should not be null.")); | ||
| FusePassBase::Init("constant_folding", graph); | ||
| auto *scope = param_scope(); | ||
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| PADDLE_ENFORCE_NOT_NULL( | ||
| scope, | ||
| platform::errors::Fatal( | ||
| "scope must not be null when applying constant floding.")); | ||
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| // Now, I don't want to fold fill_constant op in Paddle-TRT | ||
| std::vector<std::string> blacklist{"fill_constant", "feed"}; | ||
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| auto op_node_sorted = framework::ir::TopologyVarientSort( | ||
| *graph, static_cast<framework::ir::SortKind>(0)); | ||
| for (auto *op_node : op_node_sorted) { | ||
| if (!op_node->IsOp()) continue; | ||
| if (std::find(blacklist.begin(), blacklist.end(), op_node->Name()) != | ||
| blacklist.end()) | ||
| continue; | ||
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| bool input_persis = true; | ||
| // map is used to record how many time a name string occures in the whole | ||
| // graph's nodes | ||
| std::map<std::string, int> map; | ||
| for (auto in_node : op_node->inputs) { | ||
| map[in_node->Name()] = 0; | ||
| if (!in_node->Var()->Persistable()) { | ||
| input_persis = false; | ||
| } | ||
| } | ||
| for (auto out_node : op_node->outputs) { | ||
| map[out_node->Name()] = 0; | ||
| } | ||
| // Forbid other node in graph having the same name with nodes in map | ||
| for (auto iter : map) { | ||
| for (auto node : graph->Nodes()) { | ||
| if (node->IsVar() && node->Name() == iter.first) { | ||
| map[node->Name()]++; | ||
| if (map[node->Name()] > 1) { | ||
| input_persis = false; | ||
| } | ||
| } | ||
| } | ||
| } | ||
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| framework::Scope *local_scope = new framework::Scope(); | ||
| std::unordered_set<const paddle::framework::ir::Node *> remove_nodes; | ||
| std::unique_ptr<OperatorBase> op; | ||
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| if (input_persis) { | ||
| for (auto in_node : op_node->inputs) { | ||
| local_scope->Var(in_node->Var()->Name()); | ||
| local_scope->FindVar(in_node->Var()->Name())->GetMutable<LoDTensor>(); | ||
| // This persistable input node is exclusive, and can be removed | ||
| if (in_node->outputs.size() == 1L) remove_nodes.emplace(in_node); | ||
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| auto in_shape = in_node->Var()->GetShape(); | ||
| auto *global_persis_x_tensor = | ||
| scope->FindVar(in_node->Name())->GetMutable<LoDTensor>(); | ||
| auto *local_x_tensor = | ||
| local_scope->FindVar(in_node->Name())->GetMutable<LoDTensor>(); | ||
| local_x_tensor->Resize(global_persis_x_tensor->dims()); | ||
| *local_x_tensor = *global_persis_x_tensor; | ||
| } | ||
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| op = paddle::framework::OpRegistry::CreateOp(*op_node->Op()); | ||
| remove_nodes.emplace(op_node); | ||
| for (auto out_node : op_node->outputs) { | ||
| local_scope->Var(out_node->Var()->Name()); | ||
| local_scope->FindVar(out_node->Var()->Name())->GetMutable<LoDTensor>(); | ||
| // useless out_node can be removed, not need set it persistable ! | ||
| if (out_node->outputs.size() == 0L) remove_nodes.emplace(out_node); | ||
| } | ||
| op->Run(*local_scope, platform::CPUPlace()); | ||
| for (auto out_node : op_node->outputs) { | ||
| // this out_node is useless, do not set it persistable | ||
| if (out_node->outputs.size() == 0L) continue; | ||
| auto out_desc = out_node->Var(); | ||
| auto out_name = out_desc->Name(); | ||
| auto *local_out_tensor = | ||
| local_scope->FindVar(out_name)->GetMutable<LoDTensor>(); | ||
| std::vector<int64_t> out_shape; | ||
| for (int64_t i = 0; i < local_out_tensor->dims().size(); i++) { | ||
| out_shape.push_back(local_out_tensor->dims()[i]); | ||
| } | ||
| out_desc->SetShape(out_shape); | ||
| out_desc->SetPersistable(true); | ||
| auto *global_out_tensor = scope->Var(out_name)->GetMutable<LoDTensor>(); | ||
| *global_out_tensor = *local_out_tensor; | ||
| } | ||
| GraphSafeRemoveNodes(graph, remove_nodes); | ||
| } | ||
| delete local_scope; | ||
| } | ||
| } | ||
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| } // namespace ir | ||
| } // namespace framework | ||
| } // namespace paddle | ||
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| REGISTER_PASS(constant_folding_pass, | ||
| paddle::framework::ir::ConstantFoldingPass); |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,37 @@ | ||
| /* Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. | ||
| Licensed under the Apache License, Version 2.0 (the "License"); | ||
| you may not use this file except in compliance with the License. | ||
| You may obtain a copy of the License at | ||
| http://www.apache.org/licenses/LICENSE-2.0 | ||
| Unless required by applicable law or agreed to in writing, software | ||
| distributed under the License is distributed on an "AS IS" BASIS, | ||
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| See the License for the specific language governing permissions and | ||
| limitations under the License. */ | ||
|
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| #pragma once | ||
|
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| #include "paddle/fluid/framework/ir/fuse_pass_base.h" | ||
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| namespace paddle { | ||
|
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| namespace framework { | ||
| namespace ir { | ||
|
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| class Graph; | ||
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| class ConstantFoldingPass : public FusePassBase { | ||
| public: | ||
| ConstantFoldingPass(); | ||
| virtual ~ConstantFoldingPass() {} | ||
|
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| protected: | ||
| void ApplyImpl(ir::Graph* graph) const override; | ||
| }; | ||
|
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| } // namespace ir | ||
| } // namespace framework | ||
| } // namespace paddle |
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