ir_pass_manager.cc

// Copyright (c) 2018 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.

#include "paddle/fluid/inference/analysis/ir_pass_manager.h"
#include <string>
#include <vector>
#include "paddle/fluid/framework/ir/fuse_pass_base.h"
#include "paddle/fluid/framework/ir/graph.h"
#include "paddle/fluid/framework/scope.h"
#include "paddle/fluid/inference/analysis/argument.h"
#include "paddle/fluid/inference/analysis/ir_passes/subgraph_detector.h"
#include "paddle/fluid/string/pretty_log.h"

namespace paddle {
namespace inference {
namespace analysis {
using string::PrettyLogEndl;
using string::PrettyLog;
using string::Style;

IRPassManager::IRPassManager(Argument *argument) {
  ARGUMENT_CHECK_FIELD(argument, main_program);
  graph_ = std::unique_ptr<Graph>(new Graph(argument->main_program()));
  if (argument->Has("scope")) {
    graph_->Set(framework::ir::kParamScopeAttr,
                new framework::Scope *(
                    const_cast<framework::Scope *>(&argument->scope())));
  }

  ARGUMENT_CHECK_FIELD(argument, ir_analysis_passes);
  CreatePasses(argument, argument->ir_analysis_passes());
}

void IRPassManager::CreatePasses(Argument *argument,
                                 const std::vector<std::string> &passes) {
  std::string pre_pass;
  int pass_num = 0;
  for (const std::string &pass_name : passes) {
    auto pass = framework::ir::PassRegistry::Instance().Get(pass_name);

    if (pass_name == "graph_viz_pass") {
      std::string dot_file_path = std::to_string(pass_num) + "_ir_" +
                                  (pre_pass.empty() ? "origin" : pre_pass) +
                                  ".dot";
      pass->Set("graph_viz_path", new std::string(std::move(dot_file_path)));
      pass_num++;
    }
    if (pass_name == "mkldnn_placement_pass") {
      pass->Set("mkldnn_enabled_op_types",
                new std::unordered_set<std::string>(
                    argument->mkldnn_enabled_op_types()));
    }

    if (pass_name == "tensorrt_subgraph_pass") {
      pass->Set("workspace_size", new int(argument->tensorrt_workspace_size()));
      pass->Set("max_batch_size", new int(argument->tensorrt_max_batch_size()));
      pass->Set("min_subgraph_size",
                new int(argument->tensorrt_min_subgraph_size()));
      pass->Set(
          "program",
          new framework::ProgramDesc *(
              const_cast<framework::ProgramDesc *>(&argument->main_program())));
      pass->Set("precision_mode",
                new std::string(argument->tensorrt_precision_mode()));
      pass->Set("model_dir", new std::string(argument->model_path()));
    }

    // graph_ = pass->Apply(std::move(graph_));

    pre_pass = pass_name;

    passes_.emplace_back(std::move(pass));
  }
}

std::unique_ptr<Graph> IRPassManager::Apply(std::unique_ptr<Graph> graph) {
  if (passes_.empty()) {
    return graph;
  }
  PADDLE_ENFORCE(graph.get());
  // Apply all the passes
  for (const auto &pass : passes_) {
    PrettyLogEndl(Style::H2(), "--- Running IR pass [%s]", pass->Type());
    graph = pass->Apply(std::move(graph));
  }
  return std::move(graph);
}

framework::proto::ProgramDesc IRPassManager::AcquireProgram(
    std::unique_ptr<Graph> *graph, const ProgramDesc &program) const {
  auto pass =
      framework::ir::PassRegistry::Instance().Get("graph_to_program_pass");

  ProgramDesc desc;
  desc.CopyFrom(*const_cast<ProgramDesc &>(program).Proto());
  pass->SetNotOwned("program", &desc);
  auto *the_graph = graph->release();
  *graph = pass->Apply(std::unique_ptr<Graph>(the_graph));
  return *desc.Proto();
}

}  // namespace analysis
}  // namespace inference
}  // namespace paddle