80 lines
2.6 KiB
C++
80 lines
2.6 KiB
C++
/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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//
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// @author Yurii Shyrma (iuriish@yahoo.com), created on 03.01.2018
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//
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#include <helpers/svd.h>
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#include <array/NDArrayFactory.h>
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#include <helpers/jacobiSVD.h>
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#include <helpers/biDiagonalUp.h>
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namespace sd {
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namespace ops {
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namespace helpers {
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//////////////////////////////////////////////////////////////////////////
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// svd operation, this function is not method of SVD class, it is standalone function
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template <typename T>
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static void svd_(const NDArray* x, const std::vector<NDArray*>& outArrs, const bool fullUV, const bool calcUV, const int switchNum) {
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auto s = outArrs[0];
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auto u = outArrs[1];
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auto v = outArrs[2];
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const int rank = x->rankOf();
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const int sRank = rank - 1;
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auto listX = x->allTensorsAlongDimension({rank-2, rank-1});
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auto listS = s->allTensorsAlongDimension({sRank-1});
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ResultSet* listU(nullptr), *listV(nullptr);
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if(calcUV) {
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listU = new ResultSet(u->allTensorsAlongDimension({rank-2, rank-1}));
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listV = new ResultSet(v->allTensorsAlongDimension({rank-2, rank-1}));
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}
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for(int i = 0; i < listX.size(); ++i) {
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// NDArray<T> matrix(x->ordering(), {listX.at(i)->sizeAt(0), listX.at(i)->sizeAt(1)}, block.getContext());
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// matrix.assign(listX.at(i));
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helpers::SVD<T> svdObj(*(listX.at(i)), switchNum, calcUV, calcUV, fullUV);
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listS.at(i)->assign(svdObj._s);
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if(calcUV) {
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listU->at(i)->assign(svdObj._u);
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listV->at(i)->assign(svdObj._v);
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}
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}
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if(calcUV) {
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delete listU;
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delete listV;
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}
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}
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//////////////////////////////////////////////////////////////////////////
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void svd(sd::LaunchContext * context, const NDArray* x, const std::vector<NDArray*>& outArrs, const bool fullUV, const bool calcUV, const int switchNum) {
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BUILD_SINGLE_SELECTOR(x->dataType(), svd_, (x, outArrs, fullUV, calcUV, switchNum), FLOAT_TYPES);
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}
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}
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}
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}
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