/* 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: XIAO Tong (email: xiaotong@mail.neu.edu.cn) 2018-04-24 */ #include "../../XTensor.h" #include "../../XName.h" #include "Negate.h" #include "Negate.cuh" namespace nts { // namespace nts(NiuTrans.Tensor) /* set every entry to its minus value >> a - input tensor we are processing >> b - output tensor we are processing */ void _Negate(const XTensor * a, XTensor * b) { #ifdef USE_CUDA /* run it on GPUs */ if (a->devID >= 0) { _CudaNegate(a, b); return; } #endif CheckNTErrors((XTensor::IsSameShaped(a, b)), "Input tensors should have the same type!"); CheckNTErrors((a->dataType == DEFAULT_DTYPE), "TODO!"); DTYPE * d = (DTYPE*)a->data; DTYPE * db = (DTYPE*)b->data; for (int i = 0; i < a->unitNum; i++) db[i] = -d[i]; } /* set every entry to its minus value (do it on site) keep the result in the input tensor a and return nothing >> a - the tensor we are processing */ void _NegateMe(XTensor * a) { _Negate(a, a); } /* set every entry to its minus value (return an XTensor structure) make a new tensor to keep the result and return it >> a - input tensor we are processing << return - the minus value of input tensor */ XTensor Negate(const XTensor & a) { XTensor b(&a); b.SetTMPFlag(); /* call _Negate function */ _Negate(&a, &b); /* tensor connections */ XLink::MakeLink(&a, NULL, &b, MATH_NEGATE); return b; } } // namespace nts(NiuTrans.Tensor)