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101 lines
3.6 KiB
101 lines
3.6 KiB
// Copyright (c) 2018 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 "paddle/fluid/inference/analysis/analyzer.h"
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#include <string>
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#include "paddle/fluid/inference/analysis/data_flow_graph_to_fluid_pass.h"
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#include "paddle/fluid/inference/analysis/dfg_graphviz_draw_pass.h"
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#include "paddle/fluid/inference/analysis/fluid_to_data_flow_graph_pass.h"
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#include "paddle/fluid/inference/analysis/model_store_pass.h"
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#include "paddle/fluid/inference/analysis/pass_manager.h"
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#include "paddle/fluid/inference/analysis/tensorrt_subgraph_node_mark_pass.h"
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#include "paddle/fluid/inference/analysis/tensorrt_subgraph_pass.h"
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namespace paddle {
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DEFINE_bool(inference_analysis_enable_tensorrt_subgraph_engine, true,
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"Enable subgraph to TensorRT engine for acceleration");
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DEFINE_string(inference_analysis_graphviz_log_root, "./",
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"Graphviz debuger for data flow graphs.");
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DEFINE_string(inference_analysis_output_storage_path, "",
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"optimized model output path");
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namespace inference {
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namespace analysis {
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class DfgPassManagerImpl final : public DfgPassManager {
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public:
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DfgPassManagerImpl() {
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// TODO(Superjomn) set the key with pass reprs.
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AddPass("fluid-to-data-flow-graph", new FluidToDataFlowGraphPass);
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if (FLAGS_inference_analysis_enable_tensorrt_subgraph_engine) {
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auto trt_teller = [&](const Node* node) {
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std::unordered_set<std::string> teller_set(
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{"elementwise_add", "mul", "conv2d", "pool2d", "relu", "softmax"});
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if (!node->IsFunction()) return false;
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const auto* func = static_cast<const Function*>(node);
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if (teller_set.count(func->func_type())) {
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return true;
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} else {
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return false;
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}
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};
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AddPass("tensorrt-subgraph-marker",
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new TensorRTSubgraphNodeMarkPass(trt_teller));
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AddPass("tensorrt-subgraph", new TensorRTSubGraphPass(trt_teller));
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}
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AddPass("data-flow-graph-to-fluid", new DataFlowGraphToFluidPass);
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if (!FLAGS_inference_analysis_output_storage_path.empty()) {
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AddPass("model-store-pass", new ModelStorePass);
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}
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}
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std::string repr() const override { return "dfg-pass-manager"; }
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std::string description() const override { return "DFG pass manager."; }
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private:
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void AddPass(const std::string& name, Pass* pass) {
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LOG(INFO) << "Adding pass " << name;
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Register(name, pass);
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AddGraphvizDebugerPass(pass);
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}
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// Add the graphviz debuger pass if the parent pass has one.
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void AddGraphvizDebugerPass(Pass* pass) {
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auto* debuger_pass = pass->CreateGraphvizDebugerPass();
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if (debuger_pass) {
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LOG(INFO) << " - register debug pass [" << debuger_pass->repr() << "]";
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Register(debuger_pass->repr(), debuger_pass);
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}
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}
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};
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Analyzer::Analyzer() { Register("manager1", new DfgPassManagerImpl); }
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void Analyzer::Run(Argument* argument) {
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for (auto& x : data_) {
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PADDLE_ENFORCE(x->Initialize(argument));
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x->RunAll();
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PADDLE_ENFORCE(x->Finalize());
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}
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}
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} // namespace analysis
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} // namespace inference
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} // namespace paddle
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