114 lines
4.8 KiB
C++
114 lines
4.8 KiB
C++
/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#include <cstdio>
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#include <memory>
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#include <string>
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#include "absl/strings/string_view.h"
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#include "tensorflow/lite/toco/model.h"
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#include "tensorflow/lite/toco/model_cmdline_flags.h"
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#include "tensorflow/lite/toco/model_flags.pb.h"
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#include "tensorflow/lite/toco/toco_cmdline_flags.h"
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#include "tensorflow/lite/toco/toco_flags.pb.h"
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#include "tensorflow/lite/toco/toco_port.h"
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#include "tensorflow/lite/toco/toco_tooling.h"
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#include "tensorflow/lite/toco/toco_types.h"
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#include "tensorflow/core/lib/core/errors.h"
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#include "tensorflow/core/platform/logging.h"
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namespace toco {
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namespace {
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// Checks the permissions of the output file to ensure it is writeable.
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void CheckOutputFilePermissions(const Arg<std::string>& output_file) {
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QCHECK(output_file.specified()) << "Missing required flag --output_file.\n";
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QCHECK(port::file::Writable(output_file.value()).ok())
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<< "Specified output_file is not writable: " << output_file.value()
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<< ".\n";
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}
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// Checks the permissions of the frozen model file.
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void CheckFrozenModelPermissions(const Arg<std::string>& input_file) {
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QCHECK(input_file.specified()) << "Missing required flag --input_file.\n";
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QCHECK(port::file::Exists(input_file.value(), port::file::Defaults()).ok())
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<< "Specified input_file does not exist: " << input_file.value() << ".\n";
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QCHECK(port::file::Readable(input_file.value(), port::file::Defaults()).ok())
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<< "Specified input_file exists, but is not readable: "
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<< input_file.value() << ".\n";
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}
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// Reads the contents of the GraphDef from either the frozen graph file or the
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// SavedModel directory. If it reads the SavedModel directory, it updates the
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// ModelFlags and TocoFlags accordingly.
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void ReadInputData(const ParsedTocoFlags& parsed_toco_flags,
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const ParsedModelFlags& parsed_model_flags,
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TocoFlags* toco_flags, ModelFlags* model_flags,
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std::string* graph_def_contents) {
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port::CheckInitGoogleIsDone("InitGoogle is not done yet.\n");
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// Ensure savedmodel_directory is not set.
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QCHECK(!parsed_toco_flags.savedmodel_directory.specified())
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<< "Use `tensorflow/lite/python/tflite_convert` script with "
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<< "SavedModel directories.\n";
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// Checks the input file permissions and reads the contents.
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CheckFrozenModelPermissions(parsed_toco_flags.input_file);
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CHECK(port::file::GetContents(parsed_toco_flags.input_file.value(),
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graph_def_contents, port::file::Defaults())
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.ok());
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}
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} // namespace
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tensorflow::Status Convert(const std::string& graph_def_contents,
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const TocoFlags& toco_flags,
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const ModelFlags& model_flags,
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std::string* output_file_contents,
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int64* arithmetic_ops_count = nullptr) {
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std::unique_ptr<Model> model =
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Import(toco_flags, model_flags, graph_def_contents);
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TF_RETURN_IF_ERROR(TransformWithStatus(toco_flags, model.get()));
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TF_RETURN_IF_ERROR(Export(toco_flags, *model, toco_flags.allow_custom_ops(),
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output_file_contents));
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if (arithmetic_ops_count != nullptr) {
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*arithmetic_ops_count = model->ArithmeticOpsCount();
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}
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return tensorflow::Status::OK();
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}
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tensorflow::Status Convert(const ParsedTocoFlags& parsed_toco_flags,
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const ParsedModelFlags& parsed_model_flags) {
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ModelFlags model_flags;
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ReadModelFlagsFromCommandLineFlags(parsed_model_flags, &model_flags);
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TocoFlags toco_flags;
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ReadTocoFlagsFromCommandLineFlags(parsed_toco_flags, &toco_flags);
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std::string graph_def_contents;
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ReadInputData(parsed_toco_flags, parsed_model_flags, &toco_flags,
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&model_flags, &graph_def_contents);
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CheckOutputFilePermissions(parsed_toco_flags.output_file);
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std::string output_file_contents;
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TF_RETURN_IF_ERROR(Convert(graph_def_contents, toco_flags, model_flags,
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&output_file_contents));
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TF_RETURN_IF_ERROR(
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port::file::SetContents(parsed_toco_flags.output_file.value(),
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output_file_contents, port::file::Defaults()));
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return tensorflow::Status();
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}
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} // namespace toco
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