/* 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) 2018-09-27 */ #include "Squeeze.h" #include "../movement/CopyValues.h" #include "../../XName.h" namespace nts{ // namespace nts(NiuTrans.Tensor) /* squeeze the tensor along the specified dimension >> source - the input tensor >> target - the output tensor >> leadingDim - the dimension that we would squeeze if leadingDim = -1, squeeze all dimensions that are 1 else, squeeze the specified dimension */ void _Squeeze(XTensor * source, XTensor * target, int leadingDim) { int order = target->order; CheckNTErrors(XTensor::IsSameShaped(source, target), "The source and target tensor must be of the same size!"); CheckNTErrors(leadingDim >= -1 && leadingDim < order, "Wrong leading dimension"); _CopyValues(source, target); if(leadingDim < 0) { int * newDimSize = new int[order]; int newOrder = 0; for(int i = 0; i < order; i++) { int dim = source->GetDim(i); if(dim > 1) { newDimSize[newOrder] = dim; newOrder += 1; } } target->Reshape(newOrder, newDimSize); delete[] newDimSize; } else { if(source->GetDim(leadingDim) > 1) return; int newOrder = order - 1; int * newDimSize = new int[newOrder]; for(int i = 0; i < order; i++) if(i < leadingDim) newDimSize[i] = source->GetDim(i); else if(i > leadingDim) newDimSize[i - 1] = source->GetDim(i); target->Reshape(newOrder, newDimSize); delete[] newDimSize; } } /* squeeze the tensor along the specified dimension (do it on site) keep the result in the input tensor a and return nothing >> source - the input tensor >> leadingDim - the dimension that we would squeeze if leadingDim = -1, squeeze all dimensions that are 1 else, squeeze the specified dimension */ void _SqueezeMe(XTensor * source, int leadingDim) { _Squeeze(source, source, leadingDim); } /* squeeze the tensor along the specified dimension (do it on site) keep the result in the input tensor a and return nothing >> source - the input tensor >> leadingDim - the dimension that we would squeeze if leadingDim = -1, squeeze all dimensions that are 1 else, squeeze the specified dimension */ void SqueezeMe(XTensor& source, int leadingDim) { _Squeeze(&source, &source, leadingDim); } /* squeeze the tensor along the specified dimension (return an XTensor structure) make a new tensor to keep the result and return it >> source - the input tensor >> leadingDim - the dimension that we would squeeze if leadingDim = -1, squeeze all dimensions that are 1 else, squeeze the specified dimension << return - the output tensor after squeeze operation */ XTensor Squeeze(XTensor & source, int leadingDim) { XTensor target(&source); target.SetTMPFlag(); /* call _Squeeze function */ _Squeeze(&source, &target, leadingDim); /* tensor connections */ XLink::MakeLink(&source, NULL, &target, SHAPE_SQUEEZE); return target; } void Squeeze(XTensor & source, XTensor & target, int leadingDim) { if (!target.isInit || !XTensor::IsSameShaped(&source, &target)) { InitTensor(&target, &source); } /* call _Squeeze function */ _Squeeze(&source, &target, leadingDim); if (target.enableGrad) { /* tensor connections */ XLink::MakeLink(&source, NULL, &target, SHAPE_SQUEEZE); } } } // namespace nts(NiuTrans.Tensor)