Driver.cpp File Reference

#include "Dump.h"
#include <arser/arser.h>
#include <foder/FileLoader.h>
#include <functional>
#include <iostream>
#include <map>
#include <memory>
#include <vector>
#include <string>

Go to the source code of this file.

Functions
int	entry (int argc, char **argv)
	Dump IR for given arguments.

Function Documentation

entry()

int entry	(	int	argc,
		char **	argv
	)

Dump IR for given arguments.

Call example: $ ./build/compiler/encodump/encodump \ –frontend build/compiler/enco/frontend/caffe/libenco_caffe_frontend.so \ –frontend-arg build/compiler/enco/test/caffe/Convolution_003.prototxt \ –frontend-arg build/compiler/enco/test/caffe/Convolution_003.caffemodel

HDF5 layout is like below

GROUP "/" ㄴGROUP "name" ㄴATTRIBUTE "0" ㄴDATA (0): "input_01:0" ㄴATTRIBUTE "1" ㄴDATA (0): "input_02:0" ㄴGROUP "value" ㄴDATASET "0" ㄴDATA ... ㄴDATASET "1" ㄴDATA ...

Definition at line 29 of file Driver.cpp.

{
  arser::Arser arser{"tfl-inspect allows users to retrieve various information from a TensorFlow "
                     "Lite model files"};
  arser.add_argument("--operators").nargs(0).help("Dump operators in tflite file");
  arser.add_argument("--conv2d_weight")
    .nargs(0)
    .help("Dump Conv2D series weight operators in tflite file");
  arser.add_argument("--op_version").nargs(0).help("Dump versions of the operators in tflite file");
  arser.add_argument("tflite").help("TFLite file to inspect");
 
  try
  {
    arser.parse(argc, argv);
  }
  catch (const std::runtime_error &err)
  {
    std::cout << err.what() << std::endl;
    std::cout << arser;
    return 255;
  }
 
  if (!arser["--operators"] && !arser["--conv2d_weight"] && !arser["--op_version"])
  {
    std::cout << "At least one option must be specified" << std::endl;
    std::cout << arser;
    return 255;
  }
 
  std::vector<std::unique_ptr<tflinspect::DumpInterface>> dumps;
 
  if (arser["--operators"])
    dumps.push_back(std::make_unique<tflinspect::DumpOperators>());
  if (arser["--conv2d_weight"])
    dumps.push_back(std::make_unique<tflinspect::DumpConv2DWeight>());
  if (arser["--op_version"])
    dumps.push_back(std::make_unique<tflinspect::DumpOperatorVersion>());
 
  std::string model_file = arser.get<std::string>("tflite");
 
  // Load TF lite model from a tflite file
  foder::FileLoader fileLoader{model_file};
  std::vector<char> modelData = fileLoader.load();
  const tflite::Model *tfliteModel = tflite::GetModel(modelData.data());
  if (tfliteModel == nullptr)
  {
    std::cerr << "ERROR: Failed to load tflite '" << model_file << "'" << std::endl;
    return 255;
  }
 
  for (auto &dump : dumps)
  {
    dump->run(std::cout, tfliteModel);
  }
 
  return 0;
}

References dump(), and foder::FileLoader::load().