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/* Copyright 2015 The TensorFlow Authors. 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.
==============================================================================*/
#ifndef TENSORFLOW_LIB_IO_RECORD_READER_H_
#define TENSORFLOW_LIB_IO_RECORD_READER_H_
#include "tensorflow/core/lib/core/status.h"
#include "tensorflow/core/lib/core/stringpiece.h"
#if !defined(IS_SLIM_BUILD)
#include "tensorflow/core/lib/io/inputstream_interface.h"
#include "tensorflow/core/lib/io/zlib_compression_options.h"
#include "tensorflow/core/lib/io/zlib_inputstream.h"
#endif // IS_SLIM_BUILD
#include "tensorflow/core/platform/macros.h"
#include "tensorflow/core/platform/types.h"
namespace tensorflow {
class RandomAccessFile;
namespace io {
class RecordReaderOptions {
public:
enum CompressionType { NONE = 0, ZLIB_COMPRESSION = 1 };
CompressionType compression_type = NONE;
// If buffer_size is non-zero, then all reads must be sequential, and no
// skipping around is permitted. (Note: this is the same behavior as reading
// compressed files.) Consider using SequentialRecordReader.
int64 buffer_size = 0;
static RecordReaderOptions CreateRecordReaderOptions(
const string& compression_type);
#if !defined(IS_SLIM_BUILD)
// Options specific to zlib compression.
ZlibCompressionOptions zlib_options;
#endif // IS_SLIM_BUILD
};
// Low-level interface to read TFRecord files.
//
// If using compression or buffering, consider using SequentialRecordReader.
//
// Note: this class is not thread safe; external synchronization required.
class RecordReader {
public:
// Create a reader that will return log records from "*file".
// "*file" must remain live while this Reader is in use.
explicit RecordReader(
RandomAccessFile* file,
const RecordReaderOptions& options = RecordReaderOptions());
virtual ~RecordReader() = default;
// Read the record at "*offset" into *record and update *offset to
// point to the offset of the next record. Returns OK on success,
// OUT_OF_RANGE for end of file, or something else for an error.
//
// Note: if buffering is used (with or without compression), access must be
// sequential.
Status ReadRecord(uint64* offset, string* record);
private:
Status ReadChecksummed(uint64 offset, size_t n, StringPiece* result,
string* storage);
RandomAccessFile* src_;
RecordReaderOptions options_;
std::unique_ptr<InputStreamInterface> input_stream_;
#if !defined(IS_SLIM_BUILD)
std::unique_ptr<ZlibInputStream> zlib_input_stream_;
#endif // IS_SLIM_BUILD
TF_DISALLOW_COPY_AND_ASSIGN(RecordReader);
};
// High-level interface to read TFRecord files.
//
// Note: this class is not thread safe; external synchronization required.
class SequentialRecordReader {
public:
// Create a reader that will return log records from "*file".
// "*file" must remain live while this Reader is in use.
explicit SequentialRecordReader(
RandomAccessFile* file,
const RecordReaderOptions& options = RecordReaderOptions());
virtual ~SequentialRecordReader() = default;
// Reads the next record in the file into *record. Returns OK on success,
// OUT_OF_RANGE for end of file, or something else for an error.
Status ReadRecord(string* record) {
return underlying_.ReadRecord(&offset_, record);
}
private:
RecordReader underlying_;
uint64 offset_ = 0;
};
} // namespace io
} // namespace tensorflow
#endif // TENSORFLOW_LIB_IO_RECORD_READER_H_
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