64 lines
2.2 KiB
C++
64 lines
2.2 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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// Converts all *.pbtxt files in a directory from Multiline to proto format.
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#include "tensorflow/core/framework/op_gen_lib.h"
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#include "tensorflow/core/lib/io/path.h"
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#include "tensorflow/core/platform/env.h"
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#include "tensorflow/core/platform/init_main.h"
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namespace tensorflow {
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namespace {
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constexpr char kApiDefFilePattern[] = "*.pbtxt";
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Status ConvertFilesFromMultiline(const string& input_dir,
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const string& output_dir) {
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Env* env = Env::Default();
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const string file_pattern = io::JoinPath(input_dir, kApiDefFilePattern);
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std::vector<string> matching_paths;
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TF_CHECK_OK(env->GetMatchingPaths(file_pattern, &matching_paths));
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if (!env->IsDirectory(output_dir).ok()) {
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TF_RETURN_IF_ERROR(env->CreateDir(output_dir));
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}
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for (const auto& path : matching_paths) {
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string contents;
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TF_RETURN_IF_ERROR(tensorflow::ReadFileToString(env, path, &contents));
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contents = tensorflow::PBTxtFromMultiline(contents);
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string output_path = io::JoinPath(output_dir, io::Basename(path));
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// Write contents to output_path
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TF_RETURN_IF_ERROR(
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tensorflow::WriteStringToFile(env, output_path, contents));
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}
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return Status::OK();
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}
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} // namespace
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} // namespace tensorflow
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int main(int argc, char* argv[]) {
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tensorflow::port::InitMain(argv[0], &argc, &argv);
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const std::string usage =
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"Usage: convert_from_multiline input_dir output_dir";
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if (argc != 3) {
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std::cerr << usage << std::endl;
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return -1;
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}
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TF_CHECK_OK(tensorflow::ConvertFilesFromMultiline(argv[1], argv[2]));
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return 0;
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}
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