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/*
* Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* 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 "Dump.h"
#include <arser/arser.h>
#include <foder/FileLoader.h>
#include <functional>
#include <iostream>
#include <map>
#include <memory>
#include <vector>
#include <string>
int entry(int argc, char **argv)
{
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;
}
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