ModelChef.cpp File Reference

#include "circlechef/ModelChef.h"
#include <souschef/RangedArguments.h>
#include <souschef/Registry.h>
#include "Convert.h"
#include <souschef/DataChefs.h>
#include "OpChef.h"
#include "OpChefs.h"
#include <souschef/Dataset.h>
#include <souschef/Dims.h>
#include "Log.h"
#include <iterator>
#include <map>
#include <string>
#include <vector>
#include <cassert>
#include <fstream>
#include <iostream>
#include <numeric>
#include <sstream>
#include <stdexcept>
#include "OpChef.def"
#include "DataChef.def"

Go to the source code of this file.

Namespaces
namespace	circlechef

Macros
#define	OP_CHEF(NAME, FACTORY_CLASS)    op_chef_registry().add(#NAME, std::unique_ptr<FACTORY_CLASS>(new FACTORY_CLASS()));
#define	DATA_CHEF(TYPE, NAME, FACTORY_CLASS)

Functions
GeneratedModel	circlechef::cook (const ::circlechef::ModelRecipe &model_recipe)
	Generate a (in-memory) TensorFlow Lite model from a given model recipe.

Macro Definition Documentation

DATA_CHEF

#define DATA_CHEF	(		TYPE,
			NAME,
			FACTORY_CLASS
	)

Value:

  data_chef_registry(::circlechef::TYPE)     \
    .add(#NAME, std::unique_ptr<FACTORY_CLASS>(new FACTORY_CLASS()));

OP_CHEF

#define OP_CHEF	(		NAME,
			FACTORY_CLASS
	)		op_chef_registry().add(#NAME, std::unique_ptr<FACTORY_CLASS>(new FACTORY_CLASS()));