process_data.py

# Copyright (c) 2020 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.
"""
Process data for UCI Housing.
"""
import numpy as np
import paddle
import six
from paddle_fl.mpc.data_utils import aby3

sample_reader = paddle.dataset.uci_housing.train()


def generate_encrypted_data():
    """
    generate encrypted samples
    """

    def encrypted_housing_features():
        """
        feature reader
        """
        for instance in sample_reader():
            yield aby3.make_shares(instance[0])

    def encrypted_housing_labels():
        """
        label reader
        """
        for instance in sample_reader():
            yield aby3.make_shares(instance[1])

    aby3.save_aby3_shares(encrypted_housing_features, "/tmp/house_feature")
    aby3.save_aby3_shares(encrypted_housing_labels, "/tmp/house_label")


def load_decrypt_data(filepath, shape):
    """
    load the encrypted data and reconstruct
    """
    part_readers = []
    for id in six.moves.range(3):
        part_readers.append(
            aby3.load_aby3_shares(
                filepath, id=id, shape=shape))
    aby3_share_reader = paddle.reader.compose(part_readers[0], part_readers[1],
                                              part_readers[2])

    for instance in aby3_share_reader():
        p = aby3.reconstruct(np.array(instance))
        print(p)