Implement basic `Load()` and modify example based on updated inference design (#7690)

* Initial commit

* Remove resolution bug

* Modify IsParam

* Remove small bugs

* First commit unifying Run and Load

* Fix bugs

* Fix Cmake

* Modify Cmake and dir structure

* Add io.* files to inference dir

* Fix include in example

* Address review comments: part 1

* Address review comments: round 2

* Address review comments: round 3

* Address review comments: round 4

paddle/framework/program_desc.cc

@@ -18,6 +18,9 @@ limitations under the License. */
 namespace paddle {
 namespace framework {
 
+const std::string kFeedOpType = "feed";
+const std::string kFetchOpType = "fetch";
+
 BlockDesc *ProgramDesc::AppendBlock(const BlockDesc &parent) {
   auto *b = desc_.add_blocks();
   b->set_parent_idx(parent.ID());
@@ -64,5 +67,27 @@ ProgramDesc::ProgramDesc(const std::string &binary_str) {
   }
 }
 
+const std::vector<std::string> ProgramDesc::GetFeedVarNames() {
+  BlockDesc *global_block = blocks_[0].get();
+  std::vector<std::string> feed_var_names;
+  for (auto *op : global_block->AllOps()) {
+    if (op->Type() == "feed") {
+      feed_var_names.insert(feed_var_names.begin(), op->Output("Out")[0]);
+    }
+  }
+  return feed_var_names;
+}
+
+const std::vector<std::string> ProgramDesc::GetFetchVarNames() {
+  BlockDesc *global_block = blocks_[0].get();
+  std::vector<std::string> fetch_var_names;
+  for (auto *op : global_block->AllOps()) {
+    if (op->Type() == "fetch") {
+      fetch_var_names.push_back(op->Input("X")[0]);
+    }
+  }
+  return fetch_var_names;
+}
+
 }  // namespace framework
 }  // namespace paddle

paddle/framework/program_desc.h

@@ -45,6 +45,10 @@ class ProgramDesc {
 
   proto::ProgramDesc *Proto();
 
+  const std::vector<std::string> GetFeedVarNames();
+
+  const std::vector<std::string> GetFetchVarNames();
+
  private:
   proto::ProgramDesc desc_;
 

paddle/inference/CMakeLists.txt

 set(FLUID_CORE_MODULES proto_desc paddle_memory executor prune init)
 
 cc_library(paddle_fluid_api
-    SRCS inference.cc
+    SRCS io.cc
     DEPS ${FLUID_CORE_MODULES} ${GLOB_OP_LIB})
 
 # Merge all modules into a single static library
 cc_library(paddle_fluid DEPS paddle_fluid_api ${FLUID_CORE_MODULES} ${GLOB_OP_LIB})
 
 # Create shared library
-add_library(paddle_fluid_shared SHARED inference.cc)
+add_library(paddle_fluid_shared SHARED io.cc)
 
 target_circle_link_libraries(paddle_fluid_shared
   ARCHIVE_START
@@ -20,7 +20,7 @@ SET_TARGET_PROPERTIES(paddle_fluid_shared PROPERTIES OUTPUT_NAME paddle_fluid)
 
 # install library & headers
 if(NOT WITH_C_API AND WITH_FLUID)
-  install(FILES inference.h DESTINATION include/paddle/inference)
+  install(FILES io.h DESTINATION include/paddle/inference)
   install(TARGETS paddle_fluid_shared DESTINATION lib)
 endif()
 

paddle/inference/example.cc

-/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
+/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
 
 Licensed under the Apache License, Version 2.0 (the "License");
 you may not use this file except in compliance with the License.
@@ -15,7 +15,9 @@ limitations under the License. */
 #include <time.h>
 #include <iostream>
 #include "gflags/gflags.h"
-#include "paddle/inference/inference.h"
+#include "paddle/framework/init.h"
+#include "paddle/framework/lod_tensor.h"
+#include "paddle/inference/io.h"
 
 DEFINE_string(dirname, "", "Directory of the inference model.");
 
@@ -28,12 +30,27 @@ int main(int argc, char** argv) {
     exit(1);
   }
 
+  // 1. Define place, executor, scope
+  auto place = paddle::platform::CPUPlace();
+  paddle::framework::InitDevices();
+  auto* executor = new paddle::framework::Executor(place);
+  auto* scope = new paddle::framework::Scope();
+
   std::cout << "FLAGS_dirname: " << FLAGS_dirname << std::endl;
   std::string dirname = FLAGS_dirname;
 
-  paddle::InferenceEngine* engine = new paddle::InferenceEngine();
-  engine->LoadInferenceModel(dirname);
+  // 2. Initialize the inference program
+  auto* inference_program = paddle::inference::Load(*executor, *scope, dirname);
+
+  // 3. Optional: perform optimization on the inference_program
+
+  // 4. Get the feed_var_names and fetch_var_names
+  const std::vector<std::string>& feed_var_names =
+      inference_program->GetFeedVarNames();
+  const std::vector<std::string>& fetch_var_names =
+      inference_program->GetFetchVarNames();
 
+  // 5. Generate input
   paddle::framework::LoDTensor input;
   srand(time(0));
   float* input_ptr =
@@ -45,8 +62,26 @@ int main(int argc, char** argv) {
   std::vector<paddle::framework::LoDTensor> feeds;
   feeds.push_back(input);
   std::vector<paddle::framework::LoDTensor> fetchs;
-  engine->Execute(feeds, fetchs);
 
+  // Set up maps for feed and fetch targets
+  std::map<std::string, const paddle::framework::LoDTensor*> feed_targets;
+  std::map<std::string, paddle::framework::LoDTensor*> fetch_targets;
+
+  // set_feed_variable
+  for (size_t i = 0; i < feed_var_names.size(); ++i) {
+    feed_targets[feed_var_names[i]] = &feeds[i];
+  }
+
+  // get_fetch_variable
+  fetchs.resize(fetch_var_names.size());
+  for (size_t i = 0; i < fetch_var_names.size(); ++i) {
+    fetch_targets[fetch_var_names[i]] = &fetchs[i];
+  }
+
+  // Run the inference program
+  executor->Run(*inference_program, scope, feed_targets, fetch_targets);
+
+  // Get outputs
   for (size_t i = 0; i < fetchs.size(); ++i) {
     auto dims_i = fetchs[i].dims();
     std::cout << "dims_i:";
@@ -62,6 +97,9 @@ int main(int argc, char** argv) {
     std::cout << std::endl;
   }
 
-  delete engine;
+  delete inference_program;
+  delete scope;
+  delete executor;
+
   return 0;
 }

paddle/inference/inference.cc → paddle/inference/io.cc

-/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
+/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
 
 Licensed under the Apache License, Version 2.0 (the "License");
 you may not use this file except in compliance with the License.
@@ -12,48 +12,22 @@ 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 "inference.h"
+#include "paddle/inference/io.h"
 #include <fstream>
-#include "paddle/framework/executor.h"
-#include "paddle/framework/init.h"
-#include "paddle/framework/scope.h"
 
 namespace paddle {
+namespace inference {
 
-void InferenceEngine::LoadInferenceModel(const std::string& dirname) {
-  std::string model_filename = dirname + "/__model__";
-  LOG(INFO) << "loading model from " << model_filename;
-  std::ifstream inputfs(model_filename, std::ios::in | std::ios::binary);
-  std::string program_desc_str;
-  inputfs.seekg(0, std::ios::end);
-  program_desc_str.resize(inputfs.tellg());
-  inputfs.seekg(0, std::ios::beg);
-  LOG(INFO) << "program_desc_str's size: " << program_desc_str.size();
-  inputfs.read(&program_desc_str[0], program_desc_str.size());
-  inputfs.close();
+const std::string kFeedOpType = "feed";
 
-  program_ = new framework::ProgramDesc(program_desc_str);
-  GenerateLoadProgram(dirname);
-
-  framework::BlockDesc* global_block = program_->MutableBlock(0);
-  feed_var_names_.clear();
-  fetch_var_names_.clear();
-  for (auto* op : global_block->AllOps()) {
-    if (op->Type() == "feed") {
-      feed_var_names_.insert(feed_var_names_.begin(), op->Output("Out")[0]);
-    } else if (op->Type() == "fetch") {
-      fetch_var_names_.push_back(op->Input("X")[0]);
-    }
-  }
-}
-
-bool InferenceEngine::IsParameter(const framework::VarDesc* var) {
+bool IsParameter(const framework::VarDesc* var,
+                 const framework::ProgramDesc* main_program) {
   if (var->Persistable()) {
     // There are many unreachable variables in the program
-    for (size_t i = 0; i < program_->Size(); ++i) {
-      const framework::BlockDesc& block = program_->Block(i);
+    for (size_t i = 0; i < main_program->Size(); ++i) {
+      const framework::BlockDesc& block = main_program->Block(i);
       for (auto* op : block.AllOps()) {
-        if (op->Type() == "feed") {
+        if (op->Type() == kFeedOpType) {
           continue;
         }
         for (auto input_argument_name : op->InputArgumentNames()) {
@@ -67,13 +41,16 @@ bool InferenceEngine::IsParameter(const framework::VarDesc* var) {
   return false;
 }
 
-void InferenceEngine::GenerateLoadProgram(const std::string& dirname) {
-  framework::BlockDesc* global_block = program_->MutableBlock(0);
+void LoadPersistables(framework::Executor& executor,
+                      framework::Scope& scope,
+                      const std::string& dirname,
+                      framework::ProgramDesc* main_program) {
+  framework::BlockDesc* global_block = main_program->MutableBlock(0);
 
-  load_program_ = new framework::ProgramDesc();
-  framework::BlockDesc* load_block = load_program_->MutableBlock(0);
+  framework::ProgramDesc* load_program = new framework::ProgramDesc();
+  framework::BlockDesc* load_block = load_program->MutableBlock(0);
   for (auto* var : global_block->AllVars()) {
-    if (IsParameter(var)) {
+    if (IsParameter(var, main_program)) {
       LOG(INFO) << "parameter's name: " << var->Name();
 
       framework::VarDesc* new_var = load_block->Var(var->Name());
@@ -91,97 +68,30 @@ void InferenceEngine::GenerateLoadProgram(const std::string& dirname) {
       op->CheckAttrs();
     }
   }
+  executor.Run(*load_program, &scope, 0, true, true);
+  delete load_program;
 }
 
-void InferenceEngine::PrependFeedOp() {
-  if (!program_) {
-    LOG(FATAL) << "Please initialize the program_ first.";
-  }
-
-  framework::BlockDesc* global_block = program_->MutableBlock(0);
-
-  // create_var
-  framework::VarDesc* feed_var = global_block->Var("feed");
-  feed_var->SetType(framework::proto::VarDesc::FEED_MINIBATCH);
-  feed_var->SetPersistable(true);
-
-  // prepend feed_op
-  for (size_t i = 0; i < feed_var_names_.size(); ++i) {
-    std::string var_name = feed_var_names_[i];
-    LOG(INFO) << "feed var's name: " << var_name;
-
-    // prepend_op
-    framework::OpDesc* op = global_block->PrependOp();
-    op->SetType("feed");
-    op->SetInput("X", {"feed"});
-    op->SetOutput("Out", {var_name});
-    op->SetAttr("col", {static_cast<int>(i)});
-    op->CheckAttrs();
-  }
-}
-
-void InferenceEngine::AppendFetchOp() {
-  if (!program_) {
-    LOG(FATAL) << "Please initialize the program_ first.";
-  }
-
-  framework::BlockDesc* global_block = program_->MutableBlock(0);
-
-  // create_var
-  framework::VarDesc* fetch_var = global_block->Var("fetch");
-  fetch_var->SetType(framework::proto::VarDesc::FETCH_LIST);
-  fetch_var->SetPersistable(true);
+framework::ProgramDesc* Load(framework::Executor& executor,
+                             framework::Scope& scope,
+                             const std::string& dirname) {
+  std::string model_filename = dirname + "/__model__";
+  LOG(INFO) << "loading model from " << model_filename;
+  std::ifstream inputfs(model_filename, std::ios::in | std::ios::binary);
+  std::string program_desc_str;
+  inputfs.seekg(0, std::ios::end);
+  program_desc_str.resize(inputfs.tellg());
+  inputfs.seekg(0, std::ios::beg);
+  LOG(INFO) << "program_desc_str's size: " << program_desc_str.size();
+  inputfs.read(&program_desc_str[0], program_desc_str.size());
+  inputfs.close();
 
-  // append fetch_op
-  for (size_t i = 0; i < fetch_var_names_.size(); ++i) {
-    std::string var_name = fetch_var_names_[i];
-    LOG(INFO) << "fetch var's name: " << var_name;
+  framework::ProgramDesc* main_program =
+      new framework::ProgramDesc(program_desc_str);
 
-    // append_op
-    framework::OpDesc* op = global_block->AppendOp();
-    op->SetType("fetch");
-    op->SetInput("X", {var_name});
-    op->SetOutput("Out", {"fetch"});
-    op->SetAttr("col", {static_cast<int>(i)});
-    op->CheckAttrs();
-  }
+  LoadPersistables(executor, scope, dirname, main_program);
+  return main_program;
 }
 
-void InferenceEngine::Execute(const std::vector<framework::LoDTensor>& feeds,
-                              std::vector<framework::LoDTensor>& fetchs) {
-  if (!program_ || !load_program_) {
-    LOG(FATAL) << "Please initialize the program_ and load_program_ first.";
-  }
-
-  if (feeds.size() != feed_var_names_.size()) {
-    LOG(FATAL) << "Please feed " << feed_var_names_.size() << " input Tensors.";
-  }
-
-  auto* place = new platform::CPUPlace();
-  framework::InitDevices();
-  framework::Executor* executor = new framework::Executor(*place);
-  framework::Scope* scope = new framework::Scope();
-
-  executor->Run(*load_program_, scope, 0, true, true);
-
-  std::map<std::string, const framework::LoDTensor*> feed_targets;
-  std::map<std::string, framework::LoDTensor*> fetch_targets;
-
-  // set_feed_variable
-  for (size_t i = 0; i < feed_var_names_.size(); ++i) {
-    feed_targets[feed_var_names_[i]] = &feeds[i];
-  }
-
-  // get_fetch_variable
-  fetchs.resize(fetch_var_names_.size());
-  for (size_t i = 0; i < fetch_var_names_.size(); ++i) {
-    fetch_targets[fetch_var_names_[i]] = &fetchs[i];
-  }
-
-  executor->Run(*program_, scope, feed_targets, fetch_targets);
-
-  delete place;
-  delete scope;
-  delete executor;
-}
+}  // namespace inference
 }  // namespace paddle

paddle/inference/inference.h → paddle/inference/io.h

-/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
+/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
 
 Licensed under the Apache License, Version 2.0 (the "License");
 you may not use this file except in compliance with the License.
@@ -14,35 +14,28 @@ limitations under the License. */
 
 #pragma once
 
+#include <string>
+#include <vector>
 #include "paddle/framework/block_desc.h"
-#include "paddle/framework/lod_tensor.h"
+#include "paddle/framework/executor.h"
 #include "paddle/framework/program_desc.h"
+#include "paddle/framework/scope.h"
+#include "paddle/framework/var_desc.h"
 
 namespace paddle {
+namespace inference {
 
-class InferenceEngine {
-public:
-  InferenceEngine() : program_(nullptr), load_program_(nullptr) {}
-  ~InferenceEngine() {
-    delete program_;
-    delete load_program_;
-  }
-
-  void LoadInferenceModel(const std::string& dirname);
-  void Execute(const std::vector<framework::LoDTensor>& feeds,
-               std::vector<framework::LoDTensor>& fetchs);
-
-private:
-  bool IsParameter(const framework::VarDesc* var);
-  void GenerateLoadProgram(const std::string& dirname);
-  void PrependFeedOp();
-  void AppendFetchOp();
-
-private:
-  framework::ProgramDesc* program_;
-  framework::ProgramDesc* load_program_;
-  std::vector<std::string> feed_var_names_;
-  std::vector<std::string> fetch_var_names_;
-};
+bool IsParameter(const framework::VarDesc* var,
+                 const framework::ProgramDesc* main_program);
 
+void LoadPersistables(framework::Executor& executor,
+                      framework::Scope& scope,
+                      const std::string& dirname,
+                      framework::ProgramDesc* main_program);
+
+framework::ProgramDesc* Load(framework::Executor& executor,
+                             framework::Scope& scope,
+                             const std::string& dirname);
+
+}  // namespace inference
 }  // namespace paddle