recordio_writer.py

#   Copyright (c) 2018 PaddlePaddle 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.

import core
import contextlib
__all__ = ['convert_reader_to_recordio_file']


@contextlib.contextmanager
def create_recordio_writer(filename,
                           compressor=core.RecordIOWriter.Compressor.Snappy,
                           max_num_records=1000):
    writer = core.RecordIOWriter(filename, compressor, max_num_records)
    yield writer
    writer.close()


def convert_reader_to_recordio_file(
        filename,
        reader_creator,
        feeder,
        compressor=core.RecordIOWriter.Compressor.Snappy,
        max_num_records=1000,
        feed_order=None):
    if feed_order is None:
        feed_order = feeder.feed_names
    counter = 0
    with create_recordio_writer(filename, compressor,
                                max_num_records) as writer:
        for batch in reader_creator():
            res = feeder.feed(batch)
            for each in feed_order:
                writer.append_tensor(res[each])
            writer.complete_append_tensor()
            counter += 1
    return counter


def convert_reader_to_recordio_files(
        filename_suffix,
        batch_per_file,
        reader_creator,
        feeder,
        compressor=core.RecordIOWriter.Compressor.Snappy,
        max_num_records=1000,
        feed_order=None):
    if feed_order is None:
        feed_order = feeder.feed_names
    lines = []
    f_idx = 0
    counter = 0
    for idx, batch in enumerate(reader_creator()):
        lines.append(batch)
        if idx >= batch_per_file and idx % batch_per_file == 0:
            filename = "%s-%05d" % (filename_suffix, f_idx)
            with create_recordio_writer(filename, compressor,
                                        max_num_records) as writer:
                for l in lines:
                    res = feeder.feed(l)
                    for each in feed_order:
                        writer.append_tensor(res[each])
                    writer.complete_append_tensor()
                    counter += 1
                lines = []
                f_idx += 1
    return counter