123456789101112131415161718192021222324252627282930313233343536373839404142434445 |
- #
- # Copyright 2019 The FATE 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.
- #
- from numpy.random import RandomState
- class RandomPads(object):
- """random pads utils for secret homogeneous aggregation
- currently use numpy.random, which use bit generator MT19937
- other algorithms such as pcg and xoroshiro may be supported in the future
- """
- def __init__(self, init_seed=None):
- self._rand = RandomState(init_seed)
- def rand(self, d0, *more, **kwargs):
- return self._rand.rand(d0, *more, **kwargs)
- def randn(self, d0, *more, **kwargs):
- return self._rand.randn(d0, *more, **kwargs)
- def add_randn_pads(self, a, w):
- """a + r * w,
- where r is random array with nominal distribution N(0,1) and r.shape == a.shape
- """
- return a + self._rand.randn(*a.shape) * w
- def add_rand_pads(self, a, w):
- """a + r * w,
- where r is random array with uniform distribution U[0,1) and r.shape == a.shape
- """
- return a + self._rand.rand(*a.shape) * w
|