90 lines
4.3 KiB
C++
90 lines
4.3 KiB
C++
/*******************************************************************************
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* Copyright (c) 2019-2020 Konduit K.K.
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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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// Created by GS <sgazeos@gmail.com> at 12/20/2019
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//
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#include <op_boilerplate.h>
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#include <ops/declarable/CustomOperations.h>
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#include <ops/declarable/helpers/qr.h>
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#if NOT_EXCLUDED(OP_qr)
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namespace nd4j {
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namespace ops {
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CUSTOM_OP_IMPL(qr, 1, 2, false, 0, 0) {
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auto input = INPUT_VARIABLE(0);
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auto outputQ = OUTPUT_VARIABLE(0);
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auto outputR = OUTPUT_VARIABLE(1);
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auto fullMatricies = false;
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if (block.getBArguments()->size())
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fullMatricies = B_ARG(0);
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REQUIRE_TRUE(input->rankOf() >=2, 0, "qr: The rank of input array should not be less than 2, but %i is given", input->rankOf());
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REQUIRE_TRUE((fullMatricies && outputQ->sizeAt(-1) == input->sizeAt(-2)) || (!fullMatricies && outputQ->isSameShape(input)), 0, "qr: The last dimmensions should be equal to result Q, but %i and %i are given", outputQ->sizeAt(-1), input->sizeAt(-2));
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REQUIRE_TRUE((fullMatricies && outputR->sizeAt(-1) == input->sizeAt(-1)) || (!fullMatricies && outputR->sizeAt(-1) == outputR->sizeAt(-2)), 0, "qr: The last dimmensions should be equal to result R, but %i and %i are given", outputR->sizeAt(-1), input->sizeAt(-1));
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if (!input->isEmpty() && !outputQ->isEmpty() && !outputR->isEmpty())
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helpers::qr(block.launchContext(), input, outputQ, outputR, fullMatricies);
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return Status::OK();
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}
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DECLARE_SHAPE_FN(qr) {
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auto inShape = inputShape->at(0);
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Nd4jLong* shapeQ;
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Nd4jLong* shapeR;
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int targetRank = shape::rank(inShape); // last two dimensions will be reduced to scalar
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auto fullMatricies = false;
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if (block.getBArguments()->size())
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fullMatricies = B_ARG(0);
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auto shape = ShapeUtils::shapeAsVector(inShape);
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if (!fullMatricies) { // outputs are: Q is MxN and R is NxN
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shape[targetRank - 1] = shape::sizeAt(inShape, -1);
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shape[targetRank - 2] = shape[targetRank - 1];
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shapeQ = ConstantShapeHelper::getInstance()->createShapeInfo(ArrayOptions::dataType(inShape),
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shape::order(inShape), targetRank,
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shape::shapeOf(inShape));
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shapeR = ConstantShapeHelper::getInstance()->createShapeInfo(ArrayOptions::dataType(inShape),
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shape::order(inShape), shape);
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}
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else {// otherwise outputs are Q is MxM and R is MxN with zero filled rows
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shape[targetRank - 1] = shape::sizeAt(inShape, -2);
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shape[targetRank - 2] = shape[targetRank - 1];
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shapeR = ConstantShapeHelper::getInstance()->createShapeInfo(ArrayOptions::dataType(inShape),
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shape::order(inShape), targetRank,
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shape::shapeOf(inShape));
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shapeQ = ConstantShapeHelper::getInstance()->createShapeInfo(ArrayOptions::dataType(inShape),
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shape::order(inShape), shape);
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}
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return SHAPELIST(shapeQ, shapeR);
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}
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DECLARE_TYPES(qr) {
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getOpDescriptor()
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->setAllowedInputTypes({ALL_FLOATS})
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->setAllowedOutputTypes({ALL_FLOATS});
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}
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}
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}
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#endif
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