/* NiuTrans.Tensor - an open-source tensor library * Copyright (C) 2017, Natural Language Processing Lab, Northestern University. * 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. */ /* * $Created by: Xu Chen (email: hello_master1954@163.com) 2018-09-12 */ #ifndef __DROPOUT_H__ #define __DROPOUT_H__ #include "../XTensor.h" namespace nts{ // namespace nts(NiuTrans.Tensor) /* generate a random bernoulli number */ inline DTYPE RandomBernoulli(DTYPE dropProb, DTYPE value) { return (DTYPE)rand()/(DTYPE)RAND_MAX >= dropProb ? (DTYPE)value : 0; } /* dropout function */ void _Dropout(const XTensor * x, XTensor * y, unsigned int seed, DTYPE dropProb, int leadingDim = -1); /* de/dx */ void _DropoutBackward(const XTensor * y, const XTensor * x, const XTensor * dedy, XTensor * dedx, unsigned int seed, DTYPE dropProb, int leadingDim = -1); /* dropout function */ XTensor Dropout(const XTensor &x, DTYPE dropProb, int leadingDim = -1, int leadingDim2 = -1); /* dropout function without broadcast */ XTensor DropoutWithoutBroadcast(const XTensor &x, DTYPE dropProb); } // namespace nts(NiuTrans.Tensor) #endif // __DROPOUT_H__