Driver.cpp File Reference

#include <arser/arser.h>
#include <foder/FileLoader.h>
#include <tfldump/Dump.h>
#include <iostream>

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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 23 of file Driver.cpp.

{
  arser::Arser arser;
  arser.add_argument("tflite").help("TFLite file to dump");
 
  try
  {
    arser.parse(argc, argv);
  }
  catch (const std::runtime_error &err)
  {
    std::cout << err.what() << '\n';
    std::cout << arser;
    return 255;
  }
 
  std::string tflite_path = arser.get<std::string>("tflite");
  // Load TF lite model from a tflite file
  foder::FileLoader fileLoader{tflite_path};
  std::vector<char> modelData = fileLoader.load();
  const tflite::Model *tflmodel = tflite::GetModel(modelData.data());
  if (tflmodel == nullptr)
  {
    std::cerr << "ERROR: Failed to load tflite '" << tflite_path << "'" << std::endl;
    return 255;
  }
 
  std::cout << "Dump: " << tflite_path << std::endl << std::endl;
 
  tfldump::ModelEx modelex;
  modelex.model = tflmodel;
  modelex.rawdata = &modelData;
 
  std::cout << modelex << std::endl;
 
  return 0;
}

References foder::FileLoader::load(), tfldump::ModelEx::model, and tfldump::ModelEx::rawdata.