graph_utils.h

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/*
==============================================================================
MIT License
Copyright 2022 Institute for Automotive Engineering of RWTH Aachen University.
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*/
 
#pragma once
 
#include <algorithm>
#include <sstream>
#include <stdexcept>
#include <string>
#include <vector>
 
#include <tensorflow/core/platform/env.h>
#include <tensorflow_cpp/utils.h>
 
 
namespace tensorflow_cpp {
 
 
namespace tf = tensorflow;
 
 
inline tf::GraphDef loadFrozenGraph(const std::string& file) {
 
  tf::GraphDef graph_def;
  tf::Status status = tf::ReadBinaryProto(tf::Env::Default(), file, &graph_def);
  if (!status.ok())
    throw std::runtime_error("Failed to load frozen graph: " +
                             status.ToString());
 
  return graph_def;
}
 
 
inline bool loadGraphIntoSession(tf::Session* session,
                                 const tf::GraphDef& graph_def) {
 
  tf::Status status = session->Create(graph_def);
  if (!status.ok())
    throw std::runtime_error("Failed to load graph into session: " +
                             status.ToString());
 
  return true;
}
 
inline tf::Session* loadFrozenGraphIntoNewSession(
  const std::string& file, const bool allow_growth = true,
  const double per_process_gpu_memory_fraction = 0,
  const std::string& visible_device_list = "") {
 
  tf::GraphDef graph_def = loadFrozenGraph(file);
  tf::Session* session = createSession(
    allow_growth, per_process_gpu_memory_fraction, visible_device_list);
  if (!loadGraphIntoSession(session, graph_def)) return nullptr;
 
  return session;
}
 
 
inline std::vector<std::string> getGraphInputNames(
  const tf::GraphDef& graph_def) {
 
  std::vector<std::string> input_nodes;
  for (const tf::NodeDef& node : graph_def.node()) {
    if (node.op() == "Placeholder") input_nodes.push_back(node.name());
  }
 
  return input_nodes;
}
 
 
inline std::vector<std::string> getGraphOutputNames(
  const tf::GraphDef& graph_def) {
 
  std::vector<std::string> output_nodes;
  std::vector<std::string> nodes_with_outputs;
  std::unordered_set<std::string> unlikely_output_ops = {"Const", "Assign",
                                                         "NoOp", "Placeholder",
                                                         "Assert"};
  for (const tf::NodeDef& node : graph_def.node()) {
    for (const std::string& input_name : node.input())
      nodes_with_outputs.push_back(input_name);
  }
  for (const tf::NodeDef& node : graph_def.node()) {
    if (std::find(nodes_with_outputs.begin(), nodes_with_outputs.end(),
                  node.name()) == nodes_with_outputs.end() &&
        unlikely_output_ops.count(node.op()) == 0)
      output_nodes.push_back(node.name());
  }
 
  return output_nodes;
}
 
 
inline std::vector<int> getGraphNodeShape(const tf::GraphDef& graph_def,
                                          const std::string& node_name) {
 
  std::vector<int> node_shape;
  for (const tf::NodeDef& node : graph_def.node()) {
    if (node.name() == node_name) {
      if (node.attr().count("shape") == 0) return node_shape;
      auto shape = node.attr().at("shape").shape();
      for (int d = 0; d < shape.dim_size(); d++)
        node_shape.push_back(shape.dim(d).size());
      break;
    }
  }
 
  return node_shape;
}
 
 
inline tf::DataType getGraphNodeType(const tf::GraphDef& graph_def,
                                     const std::string& node_name) {
 
  tf::DataType type = tf::DT_INVALID;
  for (const tf::NodeDef& node : graph_def.node()) {
    if (node.name() == node_name) {
      if (node.attr().count("dtype") == 0) return type;
      type = node.attr().at("dtype").type();
      break;
    }
  }
  return type;
}
 
 
inline std::string getGraphInfoString(const tf::GraphDef& graph_def) {
 
  std::stringstream ss;
  ss << "FrozenGraph Info:" << std::endl;
 
  const std::vector<std::string> inputs = getGraphInputNames(graph_def);
  const std::vector<std::string> outputs = getGraphOutputNames(graph_def);
 
  ss << "Inputs: " << inputs.size() << std::endl;
  for (const auto& name : inputs) {
    const auto& shape = getGraphNodeShape(graph_def, name);
    const auto& dtype = getGraphNodeType(graph_def, name);
    ss << "  " << name << std::endl;
    ss << "    Shape: [ ";
    for (int d = 0; d < shape.size(); d++) {
      ss << shape[d] << ", ";
    }
    ss << "]" << std::endl;
    ss << "    DataType: " << tf::DataTypeString(dtype) << std::endl;
  }
 
  ss << "Outputs: " << outputs.size() << std::endl;
  for (const auto& name : outputs) {
    const auto& shape = getGraphNodeShape(graph_def, name);
    const auto& dtype = getGraphNodeType(graph_def, name);
    ss << "  " << name << std::endl;
    ss << "    Shape: [ ";
    for (int d = 0; d < shape.size(); d++) {
      ss << shape[d] << ", ";
    }
    ss << "]" << std::endl;
    ss << "    DataType: " << tf::DataTypeString(dtype) << std::endl;
  }
 
  return ss.str();
}
 
 
}  // namespace tensorflow_cpp